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The diagnosis of small-bowel tumors is challenging due to their low incidence, nonspecific presentation, and limitations of traditional endoscopic techniques. In our study, we examined the utility of the mucosal protrusion angle in differentiating between true submucosal masses and bulges of the small bowel on video capsule endoscopy. We retrospectively reviewed video capsule endoscopies of 34 patients who had suspected small-bowel lesions between 2002 and 2017. Mucosal protrusion angles were defined as the angle between the small-bowel protruding lesion and surrounding mucosa and were measured using a protractor placed on a computer screen. We found that 25 patients were found to have true submucosal masses based on pathology and 9 patients had innocent bulges due to extrinsic compression. True submucosal masses had an average measured protrusion angle of 45.7 degrees ± 20.8 whereas innocent bulges had an average protrusion angle of 108.6 degrees ± 16.3 (p < 0.0001; unpaired t-test). Acute angle of protrusion accurately discriminated between true submucosal masses and extrinsic compression bulges on Fisher’s exact test (p = 0.0001). Our findings suggest that mucosal protrusion angle is a simple and useful tool for differentiating between true masses and innocent bulges of the small bowel.
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Journal of
Clinical Medicine
Article
Role of Mucosal Protrusion Angle in Discriminating
between True and False Masses of the Small Bowel on
Video Capsule Endoscopy
May Min 1, * , Michael G. Noujaim 2, Jonathan Green 3, Christopher R. Schlieve 3,
Aditya Vaze 4, Mitchell A. Cahan 3and David R. Cave 5
1Department of Internal Medicine, University of Massachusetts Medical School, 55 Lake Ave N.,
Worcester, MA 01655, USA
2Department of Internal Medicine, Duke University School of Medicine, 2301 Erwin Rd,
Durham, NC 27705, USA; mgn9@duke.edu
3Department of Surgery, University of Massachusetts Medical School, 55 Lake Ave N.,
Worcester, MA 01655, USA; jonathan.green@umassmemorial.org (J.G.);
christopher.schlieve@umassmemorial.org (C.R.S.); mitchell.cahan@umassmemorial.org (M.A.C.)
4
Division of Cardiology, University of California Irvine, 333 City Blvd W., Suite 400 Orange, CA 92868, USA;
vazea@uci.edu
5Division of Gastroenterology, University of Massachusetts Medical School, 55 Lake Ave N.,
Worcester, MA 01655, USA; david.cave@umassmemorial.org
*Correspondence: maym522@gmail.com; Tel.: +1-401-330-9702
Received: 19 January 2019; Accepted: 25 March 2019; Published: 27 March 2019


Abstract:
The diagnosis of small-bowel tumors is challenging due to their low incidence, nonspecific
presentation, and limitations of traditional endoscopic techniques. In our study, we examined
the utility of the mucosal protrusion angle in differentiating between true submucosal masses
and bulges of the small bowel on video capsule endoscopy. We retrospectively reviewed video
capsule endoscopies of 34 patients who had suspected small-bowel lesions between 2002 and 2017.
Mucosal protrusion angles were defined as the angle between the small-bowel protruding lesion and
surrounding mucosa and were measured using a protractor placed on a computer screen. We found
that 25 patients were found to have true submucosal masses based on pathology and 9 patients had
innocent bulges due to extrinsic compression. True submucosal masses had an average measured
protrusion angle of 45.7 degrees
±
20.8 whereas innocent bulges had an average protrusion angle of
108.6 degrees
±
16.3 (p< 0.0001; unpaired t-test). Acute angle of protrusion accurately discriminated
between true submucosal masses and extrinsic compression bulges on Fisher’s exact test (p= 0.0001).
Our findings suggest that mucosal protrusion angle is a simple and useful tool for differentiating
between true masses and innocent bulges of the small bowel.
Keywords: small-bowel mass; small-bowel bulge; video capsule endoscopy
1. Introduction
The diagnosis of small-bowel tumors is challenging due to their low incidence, nonspecific clinical
presentation, and the limitations of traditional endoscopic techniques. Video capsule endoscopy (VCE)
has dramatically improved our ability to detect small-bowel tumors by enabling the visualization
of portions of the small-bowel that are not accessible by colonoscopy or upper endoscopy [
1
]. VCE
was able to diagnose small-bowel tumors in 8.9% of the 562 patients in a single-center retrospective
study who underwent VCE for occult gastrointestinal bleeding, abdominal pain, and a variety of other
J. Clin. Med. 2019,8, 418; doi:10.3390/jcm8040418 www.mdpi.com/journal/jcm
J. Clin. Med. 2019,8, 418 2 of 8
indications [
2
]. Furthermore, VCE missed only 10% of small-bowel tumors compared to a collective
miss rate of 73% by double balloon enteroscopy, small-bowel series, colonoscopy, and ileoscopy [3].
One of the major limitations of VCE is its inability to biopsy lesions identified during passage
through the small bowel. Though double balloon enteroscopy can potentially be used to visualize the
entire small intestine, reported rates for total enteroscopy are widely variable (ranging between 20 and
90%) and are highly user-dependent [
1
]. A group of experts at the 2006 International Conference on
Capsule Endoscopy identified several major and minor characteristics of small-bowel lesions that are
predictive of tumors, including mucosal disruption, bleeding, irregular surface, polypoid appearance,
color, delayed passage, white villi, and invagination [
4
]. However, in the absence of these features,
it can be challenging to differentiate between true submucosal masses and benign bulges arising from
extrinsic compression by adjacent structures.
In order to address this challenge, Girelli et al. developed the “smooth, protruding lesions
index at capsule endoscopy” (SPICE) and examined its utility through a single-center, prospective
study of
25 patients [5]
. SPICE score was calculated by adding one point for each of the following:
(1) Well-defined boundary with surrounding mucosa, (2) diameter less than height, (3) visible lumen,
and (4) image of lesion lasting more than 10 min. A SPICE score >2 was found to be 83.3% sensitive
and 89.4% specific for identifying true submucosal masses, therefore supporting a novel system for
differentiating true from false masses on VCE. Through our retrospective study, we will evaluate the
utility of an additional morphologic criterion, the mucosal protrusion angle. We have defined this
as the angle between the small-bowel protruding lesion and surrounding mucosa. We hypothesize
that false masses arising from extrinsic compression will create more obtuse protrusion angles
>90
compared with true submucosal masses, <90
. By determining the utility of the mucosal protrusion
angle, we hope to increase the specificity and sensitivity of VCE for detecting submucosal masses of
the small bowel.
2. Experimental Section
2.1. Study Design
Patient demographics, indication for VCE, findings on VCE, radiographic studies, endoscopic
and surgical interventions, pathology results, and survival following VCE were all collected
retrospectively. Only those patients who were found to have a small-bowel protruding lesion on
VCE were included in the study. Small-bowel protruding lesions were defined as any masses seen
on VCE, including suspected submucosal masses and benign bulges. In total, we analyzed the
VCEs of 34 patients. All VCEs were performed with the M2 A, PillCam
TM
SB2 or SB3 (Medtronic,
Minneapolis, MN, United States) and were analyzed using RAPID
TM
version 8.3 (Given Imaging LTD,
Yoqneam, Israel). This study was approved by the UMass Medical School Institutional Review board
on December 2, 2015.
2.2. Angle Measurement
All angles were obtained through VCE images on RAPID
TM
software version 8.3 (Given Imaging
LTD, Yoqneam, Israel). The mucosal protrusion angle was defined as the angle between the protruding
lesion and surrounding mucosa. Mucosal protrusion angles were measured using a protractor placed
on the computer screen. We categorized lesions as having a protrusion angle of either >90
or <90
and hypothesized that an angle >90
suggests an external protrusion or bulge while an angle <90
suggests a submucosal mass. The frame for protrusion angle measurement was selected independently
at each user’s discretion based on the frame in which they felt the protrusion angle could best be
measured. A sample image with angle measurement technique was provided to each operator
(see Figure 1). Angles were measured independently by two novice users and one expert user to assess
for interobserver agreement. Both novice users performed <10 VCEs prior to this study and the expert
user performed >1000 VCEs.
J. Clin. Med. 2019,8, 418 3 of 8
J. Clin. Med. 2019, 8, x FOR PEER REVIEW 3 of 8
(a)
(b)
Figure 1. (a) Demonstration of acute angle measurement on RAPIDTM. (b) Demonstration of obtuse
angle measurement on RAPIDTM.
2.3. SPICE Calculation
SPICE scores were calculated for each patient as outlined in Girelli et al. [5]. Lesions were given
1 point for the following: (1) Sharp boundary with surrounding mucosa, (2) height larger than
diameter, (3) visible lumen in the frames in which the lesion appears, and (4) image of the lesion
lasting more than 10 minutes. Any lesion with greater than two of the four SPICE criteria were
predicted to be true submucosal masses per the findings in Girelli et al. A ruler placed directly on the
computer screen was used to determine exact height and diameter of the small-bowel lesions.
2.4. Statistics
We calculated the sensitivity, specificity, positive predictive value (PPV), and negative
predictive value (NPV) of both SPICE and protrusion angle. Fisher’s Exact Test was performed to
assess the association between protrusion angle and true vs. false submucosal mass. All Fisher’s tests
were one-tailed and the cutoff for significance was set at a p-value of <0.05. Interobserver agreement
(kappa statistic) was assessed by comparing angle measurements of two novice VCE users and an
expert user. We ran a logistic regression on capsule angle measurements for expert and novice users
combined using a cutoff value of <90 degrees for a true mass and fit the data to a receiver operating
characteristic (ROC) curve. We also ran a logistic regression on SPICE scores using a cutoff of >2 for
true mass and fit the data to an ROC curve. Statistical analysis was performed using Stata Statistical
Software: Release 13 (College Station, TX, USA).
3. Results
3.1. Demographics
We retrospectively reviewed the charts of 289 patients over the age of 18 who had undergone
VCE for suspected small-bowel protruding lesions between January 2002 and March 2017. Of the
patients, 241 were excluded because no protruding lesion was identified between the pylorus and
ileocecal valve. Five patients were excluded because they were later identified as having true
submucosal masses but did not have available pathology reports in our medical records. Nine
patients were excluded because either the protrusion angle or SPICE score could not be determined
due to poor image quality or limited visualization of the protruding lesion. In total, we analyzed the
Figure 1.
(
a
) Demonstration of acute angle measurement on RAPID
TM
. (
b
) Demonstration of obtuse
angle measurement on RAPIDTM.
2.3. SPICE Calculation
SPICE scores were calculated for each patient as outlined in Girelli et al. [
5
]. Lesions were given
1 point for the following: (1) Sharp boundary with surrounding mucosa, (2) height larger than diameter,
(3) visible lumen in the frames in which the lesion appears, and (4) image of the lesion lasting more
than 10 min. Any lesion with greater than two of the four SPICE criteria were predicted to be true
submucosal masses per the findings in Girelli et al. A ruler placed directly on the computer screen was
used to determine exact height and diameter of the small-bowel lesions.
2.4. Statistics
We calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive
value (NPV) of both SPICE and protrusion angle. Fisher’s Exact Test was performed to assess the
association between protrusion angle and true vs. false submucosal mass. All Fisher’s tests were
one-tailed and the cutoff for significance was set at a p-value of <0.05. Interobserver agreement
(kappa statistic) was assessed by comparing angle measurements of two novice VCE users and
an expert user. We ran a logistic regression on capsule angle measurements for expert and novice users
combined using a cutoff value of <90 degrees for a true mass and fit the data to a receiver operating
characteristic (ROC) curve. We also ran a logistic regression on SPICE scores using a cutoff of >2 for
true mass and fit the data to an ROC curve. Statistical analysis was performed using Stata Statistical
Software: Release 13 (College Station, TX, USA).
3. Results
3.1. Demographics
We retrospectively reviewed the charts of 289 patients over the age of 18 who had undergone VCE
for suspected small-bowel protruding lesions between January 2002 and March 2017. Of the patients,
241 were excluded because no protruding lesion was identified between the pylorus and ileocecal
valve. Five patients were excluded because they were later identified as having true submucosal
masses but did not have available pathology reports in our medical records. Nine patients were
excluded because either the protrusion angle or SPICE score could not be determined due to poor
image quality or limited visualization of the protruding lesion. In total, we analyzed the VCEs of
J. Clin. Med. 2019,8, 418 4 of 8
34 patients. The average age was 73.0
±
16.6 years. There was a larger proportion of female patients
(67.6%) compared with male patients (32.4%) (see Table 1)
Table 1. Patient Characteristics.
Gender Age Indication Novice
Angle b
Expert
Angle Location Imaging cEndoscopy cSurgery Final Diagnosis
F 65 OGB 42.5 20.0 Jejunum CTE + ASBE + Yes GIST
M 52 OGB 16.0 10.0 Ileum CT + ASBE + Yes GIST
M 81 OGB 50.0 30.0 Ileum CT ASBE Yes Carcinoid
F 56 Carcinoid a20.0 10.0 Ileum CT ±Colo + Yes Carcinoid
F 77 IDA 27.5 20.0 Ileum CT RSBE + Yes Carcinoid
F 56 CD 55.0 50.0 Ileum CTE ±RSBE + Yes Carcinoid
F 58 AP 10.0 20.0 Ileum CT ±Colo + Yes Carcinoid
F 62 AP 100.0 10.0 Ileum CT + Colo Yes Carcinoid
M 38 AP 72.5 30.0 Jejunum CT + ASBE Yes Inflammatory
Polyp
F 73 OGB 35.0 110.0 Jejunum ND ASBE + No Lymphangiectasia
M 53 OGB 25.0 30.0 Ileum CT Colo Yes DLBCL
F 30 Peutz-Jeghers a45.0 30.0 Jejunum ND RSBE + Yes Peutz-Jeghers
F 39 Peutz-Jeghers a47.5 30.0 Ileum ND RSBE + No Peutz-Jeghers
F 36 Peutz-Jeghers a45.0 50.0 Duodenum ND ASBE + Yes Peutz-Jeghers
M 37 IDA 27.5 40.0 Jejunum ND ASBE + Yes Peutz-Jeghers
F 49 OGB 50.0 20.0 Jejunum ND ASBE + No Peutz-Jeghers
F 58 OGB 52.5 15.0 Jejunum CT ASBE + No Inflammatory
Polyp
M 37 Crohn’s a65.0 20.0 Jejunum CT ASBE + No Inflammatory
Polyp
F 76 OGB 40.0 40.0 Jejunum CTE + ASBE + Yes Hamartoma
F 57 OGB 45.0 10.0 Duodenum ND ASBE + No Hamartoma
M 78 BO 60.0 20.0 Ileum MRE ±ASBE Yes Lipoma
F 83 AP 82.5 >90 Duodenum ND ASBE + No Tubular Adenoma
F 41 OGB 35.0 10.0 Ileum ND Colo Yes Leiomyoma
F 48 OGB 47.5 10.0 Jejunum ND ASBE Yes Hemangioma
M 47 AP 30.0 60.0 Duodenum CT + ASBE + No
Hyperplastic Polyp
F 70 AP, OGB 130.0 70.0 Jejunum CT ASBE No Bulge
M 51 Leukemia a95.0 50.0 Jejunum PET CT + NA No Bulge
F 61 AP/CD 115.0 20.0 Duodenum ND ND No Bulge
F 29 AP 105.0 110.0 Ileum CT Colo No Bulge
F 55 OGB 75.0 20.0 Jejunum NA NA No Bulge
M 85 AP 122.5 130.0 Ileum ND Colo No Bulge
M 29 AP 105.0 30.0 Ileum CT Colo No Bulge
F 54 OGB 125.0 130.0 Ileum CT Colo No Bulge
F 73 IDA 102.5 130.0 Ileum CT ASBE No Bulge
AP, abdominal pain; ASBE, anterograde small-bowel enteroscopy; BO, bowel obstruction; CD, chronic diarrhea;
Colo, colonoscopy; CT, CT abdomen/pelvis; CTE, CT enterography; DLBCL, diffuse large B cell lymphoma; GIST,
gastrointestinal stromal tumor; IDA, iron deficiency anemia; MRE, magnetic resonance enterography; NA, not
available; ND, not done; OGB, obscure gastrointestinal bleeding; PET CT, positron emission tomography CT; RSBE,
retrograde small-bowel enteroscopy.
a
Video capsule endoscopy performed for screening or surveillance.
c
Novice
angle represents an average of measurement of 2 novice users.
b
Signs (+), (
), and (
±
) indicate positive, negative,
and equivocal findings, respectively.
3.2. Diagnosis
The most common indication for VCE was obscure gastrointestinal bleeding (41.2%), followed
by abdominal pain (29.4.%). Twenty-five patients were found to have true submucosal masses based
on pathology report (6 carcinoid, 2 gastrointestinal stromal tumor, 1 diffuse large B-cell lymphoma,
1 leiomyoma, 5 Peutz-Jeghers, 1 tubular adenoma, 1 hyperplastic polyp, 3 inflammatory polyps,
2 hamartomas, 1 lipoma, 1 cavernous hemangioma, 1 lymphangiectasia) and 9 patients had innocent
J. Clin. Med. 2019,8, 418 5 of 8
bulges due to extrinsic compression (see Table 1). None of the patients with bulges had available
pathology data because no mass was seen on follow-up studies such as enteroscopy or repeat
capsule endoscopy.
3.3. Protrusion Angle and SPICE Calculations
True submucosal masses had an average measured angle of protrusion of 45.7
±
20.80 whereas
innocent bulges had an average protrusion angle of 108.6
±
16.3
(p< 0.0001; unpaired t-test).
When compared with SPICE scores, a mucosal protrusion angle <90
had a higher sensitivity
(
92.0% vs. 32.0%
), PPV (96.0% vs. 88.9%), and NPV (66.7% vs. 32.0%). Both protrusion angle and
SPICE scores had the same specificity of 88.9%. Acute angle of protrusion accurately discriminated
between true submucosal masses and extrinsic compression bulges on Fisher’s exact test (p= 0.0001).
Interobserver agreement between the two novice users and the expert user was good (
κ
= 0.67; 95% CI,
0.50–0.84). The area under the curve for mass angle using a cutoff value of <90 degrees for true mass
was 0.93. The area under the curve for SPICE scores using a cutoff value of >2 for true mass was 0.55
(see Figure 2).
J. Clin. Med. 2019, 8, x FOR PEER REVIEW 5 of 8
3.2. Diagnosis
The most common indication for VCE was obscure gastrointestinal bleeding (41.2%), followed
by abdominal pain (29.4.%). Twenty-five patients were found to have true submucosal masses based
on pathology report (6 carcinoid, 2 gastrointestinal stromal tumor, 1 diffuse large B-cell lymphoma,
1 leiomyoma, 5 Peutz-Jeghers, 1 tubular adenoma, 1 hyperplastic polyp, 3 inflammatory polyps, 2
hamartomas, 1 lipoma, 1 cavernous hemangioma, 1 lymphangiectasia) and 9 patients had innocent
bulges due to extrinsic compression (see Table 1). None of the patients with bulges had available
pathology data because no mass was seen on follow-up studies such as enteroscopy or repeat capsule
endoscopy.
3.3. Protrusion Angle and SPICE Calculations
True submucosal masses had an average measured angle of protrusion of 45.7° ± 20.80 whereas
innocent bulges had an average protrusion angle of 108.6° ± 16.3° (p < 0.0001; unpaired t-test). When
compared with SPICE scores, a mucosal protrusion angle <9 had a higher sensitivity (92.0% vs.
32.0%), PPV (96.0% vs. 88.9%), and NPV (66.7% vs. 32.0%). Both protrusion angle and SPICE scores
had the same specificity of 88.9%. Acute angle of protrusion accurately discriminated between true
submucosal masses and extrinsic compression bulges on Fisher’s exact test (p = 0.0001). Interobserver
agreement between the two novice users and the expert user was good (κ = 0.67; 95% CI, 0.50–0.84).
The area under the curve for mass angle using a cutoff value of <90 degrees for true mass was 0.93.
The area under the curve for SPICE scores using a cutoff value of >2 for true mass was 0.55 (see Figure
2).
(a)
(b)
Figure 2.
(
a
) The area under the receiver operating characteristic (ROC) curve for combined expert and
novice mucosal protrusion angle using a cutoff of <90
for true mass. (
b
) The area under the ROC curve
for smooth, protruding lesion at capsule endoscopy (SPICE) index using a cutoff of >2 for true mass.
J. Clin. Med. 2019,8, 418 6 of 8
4. Discussion
VCE has emerged as a convenient way to identify small-bowel tumors because it is non-invasive
and allows for visualizuation of the entire length of the small bowel. Over the past several decades,
its role in detecting malignancies has become more important as the incidence of small-bowel tumors
has increased from 11.8 cases per million in 1973 to 22.7 cases per million in 2004. It is unclear how
much of this increase can be attributed to improved diagnosis with the advent of VCE, however
Bilimora et al. pointed to the rising incidence of carcinoid tumors as a major driving factor [
6
].
Prior studies have cited VCE malignant tumor detection rates as high as 63–83% [
7
,
8
]. In our study,
we found a lower but still significant proportion of malignant tumors (45% of true submucosal masses)
after excluding patients with Peutz-Jehgers.
Though VCE has significantly improved our ability to detect small-bowel tumors, it has also
opened up what Pennazio et al. describes as a “Pandora’s box” of findings including both malignant
and benign lesions [
9
]. Bulges are among one of the most problematic benign findings on VCE, as they
can often mimic the appearance of small-bowel tumors and contribute to false-positive outcomes [
10
].
False-positive outcomes may lead to further invasive and costly procedures, therefore highlighting
the importance of differentiating bulges from true submucosal masses. Though “alarm” features,
including bleeding, mucosal disruption, irregular surface, polypoid appearance, and white villi,
have been described based upon expert consensus for malignant small-bowel masses, there are few
studies available to support the use of these findings on VCE [
4
,
11
]. There have been prior attempts
to use of automatic detection methods based on textural alterations on VCE, however none of these
methods have been validated in clinical practice for diagnosing submucosal masses [12,13].
The SPICE score described by Girelli et al. was the first scoring system developed to distinguish
between submucosal masses and bulges on VCE [
5
]. This study showed that a SPICE score >2 was
highly sensitive (83.3%) and specific (89.4%) for detection of true submucosal masses. A validation
study by Rodrigues et al. showed a lower sensitivity (66.7%) but high specificity (100.0%) for the
SPICE score [
14
]. In our study, we found that a SPICE score >2 had an equally high specificity
when compared with the mucosal protrusion angle but a significantly lower sensitivity of 32.0%.
The discrepencies in our results may in large part be due to differences in study design, as the
Girelli et al. study
was prospective whereas ours was retrospective. Additionally, we included patients
with Peutz-Jehgers and patients with “alarm” features outlined by Shyung et al., all of whom were
excluded
by Girelli et al. [5,11]
. None of our true masses had a length time >10 min, criteria 4 on the
SPICE scale, which made SPICE less sensitive in our patient population.
We evaluated the utililty of a new, simpler measure, the mucosal protrusion angle, in differentiating
true masses from bulges. We found that an angle <90
accurately discriminated between true masses
and extrinsic compression bulges (p= 0.0001). Acute protrusion angle also had a high sensitivity (92.0%)
and specificity (88.9%) for distinguishing between true masses and bulges. It should be noted that we
used both novice and expert users in our study, whereas the Girelli et al. study utilized only expert users.
Discrepencies in angle measurements between the novice and expert users in our study were likely due
to differences in the frames of the lesion on RAPID
TM
chosen by each user. Despite these discrepencies,
we found that there was good interobserver agreement between the novice and expert users when using
mucosal protrusion angle (
κ
= 0.67; 95% CI, 0.50–0.84). This suggests that mucosal protrusion angle has the
potential to be utilized by a wide range of users regardless of their VCE experience level.
5. Study Limitations
There are several limitations of this study that are important to note. First, this is a retrospective
study and therefore is subject to both confounding and selection bias. As mentioned above, one
potential source of bias is the variation in frame selection on VCE, as there was no way to ensure that
all users would select the same image for angle measurement. In the future, it would be valuable
to assess the degree of variability in frame selection between observers as this was not evaluated in
our present study. An additional limitation of our study was that none of the bulges had pathologic
J. Clin. Med. 2019,8, 418 7 of 8
confirmation due to our inability to visualize these transient lesions on subsequent interventions
and the unethical nature of performing surgery or further invasive workup in such patients. We felt
that long-term follow up provided an adequate surrogate but recognize this as a limitation. Finally,
the number of patients in our study is comparatively small.
6. Conclusions
Mucosal protrusion angle is a novel and simple tool for differentiating between true masses
and innocent bulges of the small bowel. To our knowledge, there are no prior studies examining the
utility of this index. We found that small-bowel protruding lesions with a protrusion angle >90
are
more likely to represent bulges and may not warrant any additional workup, whereas lesions with
angle <90
are more likely to be true masses that should be evaluated for malignancy with enteroscopic
or surgical interventions. Further prospective studies are still needed to validate our results.
Author Contributions:
Conceptualization, D.R.C., M.M. and M.G.N.; methodology, D.R.C., M.M. and M.G.N.;
validation, D.R.C., M.M., and M.G.N.; formal analysis, M.M., M.G.N., J.G., and A.V.; investigation, M.M., M.G.N.,
J.G., and C.R.S.; resources, M.M. and M.G.N.; writing—original draft preparation, M.M.; writing—review and
editing, D.R.C., M.M., and M.G.N.; visualization, M.M. and M.G.N.; supervision, D.R.C. and M.A.C.; project
administration, D.R.C. and M.M.
Conflicts of Interest:
David R. Cave has a research grant with Olympus Corporation and is a clinical trial
investigator for Medtronics. Olympus Corporation and Medtronics had no role in the design of the study; in the
collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the
results. The other remaining authors have no conflicts of interest to declare.
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2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
... Therefore, the timely and accurate diagnosis and localization of SBMLs is crucial. Nevertheless, the diagnosis of SBMLs is difficult owing to their low incidence, nonspe- cific clinical presentation, and location beyond the reach of standard endoscopic evaluation [1,3]. Indeed, up until the past two decades, these lesions were typically only diagnosed with surgical laparotomy [4,5]. ...
... Since its approval in 2001, video capsule endoscopy (VCE) has played a significant role in detecting SBMLs in patients presenting with a variety of complaints ranging from occult GI bleeding to abdominal pain and weight loss. As it typically allows for inspection of the entire small bowel and has a diagnostic yield as high as 91% for detecting SBMLs, the incidence of detected SBMLs increased from 11.8 cases per million in 1973 to 22.7 cases per million in 2004 [3][4][5][6][7][8][9]. Though VCE has become the preferred first-line method for luminal small bowel evaluation, it is limited by its inability to provide a tissue diagnosis [1,3,8,10]. ...
... As it typically allows for inspection of the entire small bowel and has a diagnostic yield as high as 91% for detecting SBMLs, the incidence of detected SBMLs increased from 11.8 cases per million in 1973 to 22.7 cases per million in 2004 [3][4][5][6][7][8][9]. Though VCE has become the preferred first-line method for luminal small bowel evaluation, it is limited by its inability to provide a tissue diagnosis [1,3,8,10]. To this end, the introduction of device-assisted enteroscopy (DAE) in 2000 provided a non-surgical, endoscopic modality that allowed for the direct examination of the entire small bowel [11,12]. ...
Article
Full-text available
Background: Small bowel mass lesions (SBMLs) are rare, span a range of different histologies and phenotypes, and our understanding of them is limited. Some lesions occur in patients with recognized polyposis syndromes and others arise sporadically. The current literature regarding SBMLs is limited to small retrospective studies, case reports, and small case series. This large multi-center study aims to understand the various clinical presentations, histologies and management options for SBMLs. Methods: After obtaining Institutional Review Board (IRB) approval, electronic records were used to identify all device-assisted enteroscopy (DAE) performed for luminal small bowel evaluation in adult patients at three US referral centers (Duke, LSU and UMass) from January 1, 2014, to October 1, 2020. We identified all patients within this cohort in whom a SBML was detected. Using a focused electronic medical record chart review, we collected patient, procedure, and lesion-related data and used descriptive statistics to explore relationships between these data and outcomes. Results: A total of 218 patients (49 at Duke, 148 at LSU, and 21 at UMass) in this cohort had at least one SBML found on DAE. The most common presenting symptoms were iron-deficiency anemia/bleeding (73.3%) and abnormal imaging (33.6%). Thirty-five percent of patients had symptoms for more than a year prior to their diagnosis. Most patients (71.6%) underwent video capsule endoscopy (VCE) prior to DAE and 84% of these exams showed the lesion. The lesion was seen less frequently (48.9%) on computed tomography (CT) scan performed prior to DAE. The majority of lesions were found on antegrade (56%) or retrograde (29.8%) double-balloon enteroscopy (DBE). The most common lesion phenotypes were submucosal (41.3%) and pedunculated (33%) with a much smaller number being sessile (14.7%) or obstructing/invasive (11%). They were found equally as commonly in the jejunum (46.3%) and ileum (49.5%). Most lesions were 10 - 20 mm in size (47%) but 22.1% were larger than 20 mm. The most common histologies were neuroendocrine tumors (NETs, 20.6%) and hamartomas (20.6%). Primary adenocarcinoma of the small bowel was rare, constituting only 5% of lesions. The majority of polyps (78.4%) were sporadic, compared to 21.7% associated with a polyposis or hereditary cancer syndrome, most commonly Peutz-Jeghers syndrome (18.3%). After DAE, 37.6% were advised to undergo surgical resection and 48% were advised to undergo endoscopic surveillance or no further management because of benign histology or successful endoscopic resection. Conclusions: In this multi-center retrospective study we found that SBMLs are more likely to be sporadic than syndromic, medium in size and either pedunculated or submucosal. NETs and hamartomas predominated and symptoms, most commonly anemia, can be present for more than a year prior to diagnosis. Close to one half of lesions required either no further intervention or only endoscopic surveillance.
... This proposed score can help in the setting of mucosal alterations but the problem of SBSL with normal overlying mucosa still remains. To address this issue, two scores by Girelli C et al (11) and Min M et al (12) were proposed. ...
... SBT may be easier to identify if they show suspicious features, such as bleeding, mucosal disruption, an irregular surface, color and white villi, as proposed by Shyung L et al (10). The problem still remains for smooth protruding lesions covered by normal appearing mucosa and in this sense two scores were proposed to help make the distinction from SBSL and innocent bulges (11,12). ...
... The retrospective nature is subject to confounding and selection bias and our patient sample is small. Nevertheless, this study design is in line with most of works performed in this line of investigation (7,8,10,12,13,17). This is explained by the low incidence of small bowel tumors and the very nature of capsule endoscopy, in which retrospective review of the studies is possible and readily accessible. ...
Article
Introduction and aim: in capsule endoscopy (CE), small bowel subepithelial lesions (SBSL) are difficult to distinguish from innocent mucosal protrusions. The SPICE score (smooth, protruding lesions index on CE) and a score that assesses the SBSL protrusion angle were developed. The aim of the study was to determine if a composite score is superior to the proposed models. Methods: all CE between 01/2010 and 12/2020 were included in the study if a smooth, round protruding lesion was identified. Both scores and a composite score (SPICE > 2 and angle < 90°) were calculated after video review. Mucosal protrusions were defined as SBSL if they had a histological/imaging diagnosis and innocent protrusions if otherwise. All patients without at least one appointment and an additional diagnostic exam after CE were excluded. Results: a total of 34 CE were included; 64.7 % were males, aged 65.4 ± 14.7 years. The most common indication for CE was anemia (52.9 %). SBSL was identified in 17 cases, with lipomas (14.7 %) being the most frequent diagnosis. Both the SPICE (AUROC 0.90, p < 0.001) and protrusion angle scores (AUROC 0.74, p = 0.019) accurately distinguished SBSL from innocent protrusions. Applying a 90° cut-off, the protrusion angle had a sensitivity of 52.9 % and specificity of 88.2 %. Applying a cut-off of > 2 points, the SPICE score has a sensitivity of 64.7 % and specificity of 94.2 %. The composite score had a sensitivity, specificity, positive and negative predictive value of 47.0 %, 100 %, 100 % and 65.4 %. Conclusion: we propose that additional follow-up investigation should always be undertaken in cases where both a SPICE > 2 and angle of < 90° are obtained, as the likelihood of SBSL is high.
... The SPICE Score ranges between 0 and 4 and a score > 2 is usually considered as suggestive of a true SEM [5] . The second score is the mucosal protrusion angle (MPA), where the authors suggest that an angle > 90 °, is more likely to be a bulge while an angle < 90 °was suggestive of an underlying SEM [6] . The MPA was defined as the angle between the protruding lesion and surrounding mucosa and was calculated by putting a protractor on the screen. ...
... In the MPA study ( n = 34; SEM = 25), the authors demonstrated that an angle < 90 °had a high sensitivity (92.0%) and specificity (88.9%) for distinguishing between true SEM from bulges ( p = 0.0 0 01) [6] . In the study by Afecto et al., the specificity for the MPA was 52.9% with a sensitivity of 88.2% [12] . ...
Article
Aims The primary aim of this study was to assess the reliability, intra- and inter-observer variation of the SPICE, Mucosal protrusion angle (MPA) and SHYUNG scores in differentiating a subepithelial mass (SEM) from a bulge. Methods This retrospective multicentre study analysed the 3 scores, radiological studies, enteroscopy and/or surgical findings. Results 100 patients with a potential SEM (mean age 57.6years) were recruited with 75 patients having pathology. In patients with a SEM the mean SPICE score was 2.04 (95% CI 1.82–2.26) as compared to 1.16 (95% CI 0.81–1.51) without any pathology (AUC 0.74, p<0.001), with a fair intra-observer agreement (Kappa 0.3, p<0.001) and slight inter-observer agreement (Kappa 0.14, p<0.05). SPICE had a 37.3% sensitivity and 92.0% specificity in distinguishing between a SEM and bulge, whereas MPA<90˚ had 58.7% and 76.0% respectively, with poor intra-observer(p = 0.05) and interobserver agreement (p = 0.64). The SHYUNG demonstrated a moderate intra-observer (Kappa 0.44, p<0.001) and slight inter-observer reliability (Kappa 0.18, p<0.001). The sensitivity of an elevated SHYUNG score (≥4) in identifying a SEM was 18.7% with a specificity of 92.0% (AUC 0.71, p = 0.002). Conclusions Though these scores are easy to use, they have, at best, slight to moderate intra and inter-observer agreement. Their overall diagnostic performances are limited.
... Lesions in the duodenum and proximal jejunum are easily missed because of the rapid transit of the capsule through these areas. Sometimes transient bulges in the small bowel lumen may appear to be submucosal masses [70][71][72][73]. The main disadvantage of VCE is that it does not permit tissue sampling. ...
Article
Full-text available
A retrospective study in patients who underwent video capsule endoscopy (VCE) between 2006 and 2016 was conducted in the Clinic for gastroenterology and Hepatology, University Clinical Center of Serbia. A total of 245 patients underwent VCE. In 198 patients the indication was obscure gastrointestinal bleeding (OGIB), with 92 patients having overt and the other 106 occult bleeding. The remaining 47 patients underwent VCE due to suspected small bowel (SB) disease (i.e., Von Hippel–Lindau syndrome, familial adenomatous polyposis, Peutz Jeghers syndrome, Crohn’s disease, prolonged diarrhea, abdominal pain, congenital lymphangiectasia, protein-losing enteropathy, tumors, refractory celiac disease, etc.). VCE identified a source of bleeding in 38.9% of patients (in the obscure overt group in 48.9% of patients, and in the obscure occult group in 30.2% of patients). The most common findings were angiodysplasias, tumors, Meckel’s diverticulum and Crohn’s disease. In the smaller group of patients with an indication other than OGIB, 38.3% of patients had positive VCE findings. The most common indication is OGIB, and the best candidates are patients with overt bleeding; patients with IBD should be evaluated in this setting.
... Regarding the distinction between innocent bulging (not clinically relevant) and submucosal masses (clinically relevant) detected at SBCE, three different scores (known as smooth, protruding lesions index on capsule endoscopy [SPICE-score], Shyung score, and protruding angle score) have been proposed [85][86][87]. The SPICE score is the only one for which a clinical validation has been performed [ 88 ] and some studies are available. ...
Article
Full-text available
Background Enteroscopy plays an important role in the management of small bowel bleeding. However, current guidelines are not specifically designed for small bowel bleeding and recommendations from different international societies do not always align. Consequently, there is heterogeneity in the definitions of clinical entities, clinical practice policies, and adherence to guidelines among clinicians. This represents an obstacle to providing the best patient care and to obtain homogeneous data for clinical research. Aims The aims of the study were to establish a consensus on the definitions of bleeding entities and on the role of enteroscopy in the management of small bowel bleeding using a Delphi process. Methods A core group of eight experts in enteroscopy identified five main topics of small bowel bleeding management and drafted statements on each topic. An expert panel of nine gastroenterologists participated in three rounds of the Delphi process, together with the core group. Results A total of 33 statements were approved after three rounds of Delphi voting. Conclusion This Delphi consensus proposes clear definitions and a unifying strategy to standardize the management of small bowel bleeding. Furthermore, it provides a useful guide in daily practice for both clinical and technical issues of enteroscopy.
... Malignancy is more frequent in SBTs, with the most common histological diagnoses being adenocarcinoma, neuroendocrine tumors, gastrointestinal stromal tumors (GISTs) and lymphoma [3]. SBTs are characterized by a lengthy silence-period, nonspecific symptoms and a high degree of malignancy [1,4]. Therefore, studies that focus on the prognosis of SBTs are largely restricted. ...
Article
Full-text available
Background This study aims to explore a deep learning (DL) algorithm for developing a prognostic model and perform survival analyses in SBT patients. Methods The demographic and clinical features of patients with SBTs were extracted from the Surveillance, Epidemiology and End Results (SEER) database. We randomly split the samples into the training set and the validation set at 7:3. Cox proportional hazards (Cox-PH) analysis and the DeepSurv algorithm were used to develop models. The performance of the Cox-PH and DeepSurv models was evaluated using receiver operating characteristic curves, calibration curves, C-statistics and decision-curve analysis (DCA). A Kaplan–Meier (K–M) survival analysis was performed for further explanation on prognostic effect of the Cox-PH model. Results The multivariate analysis demonstrated that seven variables were associated with cancer-specific survival (CSS) (all p < 0.05). The DeepSurv model showed better performance than the Cox-PH model (C-index: 0.871 vs. 0.866). The calibration curves and DCA revealed that the two models had good discrimination and calibration. Moreover, patients with ileac malignancy and N2 stage disease were not responding to surgery according to the K–M analysis. Conclusions This study reported a DeepSurv model that performed well in CSS in SBT patients. It might offer insights into future research to explore more DL algorithms in cohort studies.
... Twenty-five of 34 patients had a pathologic diagnosis of a tumor. In comparison with SPICE criteria, an angle lesser than 90 degrees had the same specificity but a higher sensitivity (92 % vs 32 %) in their series [108]. In this study, the final diagnostic assessment of patients diagnosed as IB, and the length of follow-up were unclear. ...
Article
Full-text available
Capsule endoscopy (CE) emerged out of the pressing clinical need to image the small bowel (SB) in cases of midgut bleeding and provide an overall comfortable and reliable gastrointestinal (GI) diagnosis 1. Since its wider adoption in clinical practice, significant progress has been made in several areas including software development, hardware features and clinical indications, while innovative applications of CE never cease to appear 2 3. Currently, several manufacturers provide endoscopic capsules with more or less similar technological features 4. Although there is engaging and continuous academic and industry-fueled R&D, promising furtherment of CE technology 4 5, the current status of clinical CE remains that of by and large an imaging modality. Clinical relevance of CE images is cornerstone in the decision-making process for medical management. In one of the larger to date SB CE studies, 4,206 abnormal images were detected in 3,280 patients 6. Thus, CE leads to the identification of a large amount of potential pathology, some of which are pertinent (or relevant) while some (probably the majority) are not. Soon artificial intelligence (AI) is likely to carry out several roles currently performed by humans; in fact, we are witnessing only the first stages of a transition in the clinical adoption of AI-based solutions in several aspects of gastroenterology including CE 7. Until then though, human-based decision-making profoundly impacts patient care and – although not suggested in the updated European Society of Gastrointestinal Endoscopy (ESGE) European curriculum 8 9 – it should be an integral part of CE training. Frequently, interpretation of CE images by experts or at least experienced readers differs. In a tandem CE reading study, expert review of discordant cases revealed a 50 % (13/25 discordant results) error rate by experienced readers, corresponding (in 5/13 cases) to ‘over-classification’ of an irrelevant abnormality 10. Another comparative study showed an ‘over-classification’ of such irrelevant abnormalities in ~10 % of CE readings 11. One thing which has been for a while on the table – in relation to optimizing and/or standardizing CE reporting and subsequent decision-making – is the need for reproducible scoring systems and for a reliable common language among clinicians responsible for further patient’s management. Over the years, several of these scoring systems were developed while others appear in the wake of software and hardware improvements aiming to replace and/or complement their predecessors. This review presents a comprehensive account of the currently available classification/scoring systems in clinical CE spanning from predicting the bleeding potential of identified SB lesions (with emphasis on vascular lesions), and the individual rebleeding risk; scoring systems for the prediction of SB lesions in patients with obscure gastrointestinal bleeding (OGlB), having the potential to improve patient selection and rationalize the use of enteroscopy, with better allocation of resources, optimized diagnostic workflow and tailored treatment. This review also includes scores for reporting the inflammatory burden, the cleansing level that underscores confidence in CE reporting and the mass or bulge question in CE. Essentially, the aim is to become a main text for reference when scoring is required and facilitate the inclusion of -through readiness of access- one of the other in the final report.
Article
Small-bowel tumors represent a rare entity comprising 0.6% of all new cancer cases in the US, and only 3% of all gastrointestinal neoplasms. They are a heterogenous group of neoplasms comprising of about forty different histological subtypes with the most common being adenocarcinoma, neuroendocrine tumors, stromal tumors and lymphomas. Their incidence has been reportedly increasing over recent years, partly owing to the advances and developments in the diagnostic modalities. Small-bowel capsule endoscopy, device assisted enteroscopy and dedicated small-bowel cross-sectional imaging are complimentary tools, supplementing each other in the diagnostic process. Therapeutic management of small-bowel tumors largely depends on the histological type and staging at diagnosis. The aim of the present review article is to discuss relevant advances in the diagnosis and management of small-bowel tumors.
Article
Aim: To compare the effectiveness and diagnostic accuracy of computed tomography enteroclysis (CTE), double-balloon endoscopy (DBE), and CTE with DBE (CTE/DBE) for detecting submucosal tumors (SMTs) in the small intestine. Methods: The clinical data of 42 patients with pathologically confirmed small bowel SMTs seen at Renmin Hospital of Wuhan University between March 2012 and October 2020 were retrospectively analyzed. The value of CTE and DBE for detecting small bowel SMTs was then compared. Results: No remarkable difference was found with regard to the sensitivity, positive and negative predictive values, as well as diagnostic accuracy rate between DBE and CTE, but the specificity of CTE was significantly higher than that of DBE (50.0% versus 25.0%, P = 0.001). Additionally, CTE/DBE also presented a higher sensitivity than CTE (97.4% versus 84.2%, P = 0.031). However, CTE/DBE and CTE were not greatly different in the positive predictive values and diagnostic accuracy rates. Conclusion: These findings suggest that CTE was better at detecting small bowel SMTs than DBE. Additionally, the combination of CTE and DBE is more beneficial for detecting SMTs in the small intestine.
Chapter
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Developments in capsule endoscopy presented in this chapter.
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Wireless capsule endoscopy has been introduced as an innovative, non-invasive diagnostic technique for evaluation of the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the output of this technique is an 8 hours video, whose analysis by the expert physician is very time consuming. Thus, a computer assisted diagnosis tool to help the physicians to evaluate CE exams faster and more accurately is an important technical challenge and an excellent economical opportunity. The set of features proposed in this paper to code textural information is based on statistical modeling of second order textural measures extracted from co-occurrence matrices. To cope with both joint and marginal non-Gaussianity of second order textural measures, higher order moments are used. These statistical moments are taken from the two-dimensional color-scale feature space, where two different scales are considered. Second and higher order moments of textural measures are computed from the co-occurrence matrices computed from images synthesized by the inverse wavelet transform of the wavelet transform containing only the selected scales for the three color channels. The dimensionality of the data is reduced by using Principal Component Analysis. The proposed textural features are then used as the input of a classifier based on artificial neural networks. Classification performances of 93.1% specificity and 93.9% sensitivity are achieved on real data. These promising results open the path towards a deeper study regarding the applicability of this algorithm in computer aided diagnosis systems to assist physicians in their clinical practice.
Article
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Submucosal malignant masses (SMMs) and innocent bulges look similar on small-bowel capsule endoscopy (SBCE). In a previous observational study, 4 criteria associated with innocent bulges were recognized. To devise and validate an index based on these criteria (smooth, protruding lesion index on capsule endoscopy [SPICE]) to discriminate SMMs from innocent bulges. Single-center, prospective study. General hospital in Busto Arsizio, Italy. This study involved 25 of 424 consecutive SBCEs performed on as many patients having SBCE findings of smooth, round, protruding lesions. Patients' evaluation up to the final diagnosis. At study entry, a short video clip of the lesion was obtained and deidentified for blind SPICE calculation. SPICE accuracy, using the final diagnosis of each patient as the criterion standard. Six patients had SMMs (4 GI stromal tumors, 2 neuroendocrine tumors), and 19 had innocent bulges. SPICE scores ranged from 0 to 4; they discriminated SMMs from innocent bulges (P = .002). A SPICE value >2 had 83.3% sensitivity and 89.4% specificity, and the area under the curve was 0.90 (95% confidence interval, 0.72-0.98; P < .001) for the detection of SMMs. Single-center study; small sample size; no invasive ascertainment in 36% of patients. SPICE is easy to calculate and useful for distinguishing SMMs from innocent bulges. An index >2 is predictive of SMM.
Article
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Capsule endoscopy is a highly sensitive method for the detection of small bowel lesions. False-positive findings are important confounding factors. This study reports on a scoring system for evaluating the role of capsule endoscopy in small bowel tumors. Ten men and two women (age, 23-79 years) with suspected small bowel tumors were included from 120 patients referred for capsule endoscopy between March 2004 and March 2008. The indications were gastrointestinal bleeding (n = 9), melanoma workup (n = 1), physical checkup (n = 1), and iron deficiency anemia (n = 1). The proposed tumor score was composed of five components: bleeding, mucosal disruption, an irregular surface, color, and white villi. These can be scored for probability of mass lesions seen at capsule endoscopy. Small bowel mass lesions were probably present in those with a score of >or= 4, and a score of <or= 2 indicated a low probability of a small bowel mass lesion. Capsule endoscopy showed probable small bowel mass lesions in six patients, and a low lesion probability in the other six. Capsule endoscopy showed that new lesions were not detected by esophagogastroduodenoscopy or colonoscopy. All six patients with probable small bowel tumors were found to have pathological findings upon capsule endoscopy: two with lymphangioma, and one each with ileal ectopic pancreas, with melanoma metastasis, gastrointestinal lymphoma, and gastrointestinal stromal tumor. Capsule endoscopy may detect small bowel tumors more reliably by using the scoring system outlined. It should be considered in suspected cases of small bowel tumor.
Article
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Until recently, diagnosis and management of small-bowel tumors were delayed by the difficulty of access to the small bowel and the poor diagnostic capabilities of the available diagnostic techniques. An array of new methods has recently been developed, increasing the possibility of detecting these tumors at an earlier stage. Capsule endoscopy (CE) appears to be an ideal tool to recognize the presence of neoplastic lesions along this organ, since it is non-invasive and enables the entire small bowel to be visualized. High-quality images of the small-bowel mucosa may be captured and small and flat lesions recognized, without exposure to radiation. Recent studies on a large population of patients undergoing CE have reported small-bowel tumor frequency only slightly above that reported in previous surgical series (range, 1.6%-2.4%) and have also confirmed that the main clinical indication to CE in patients with small-bowel tumors is obscure gastrointestinal (GI) bleeding. The majority of tumors identified by CE are malignant; many were unsuspected and not found by other methods. However, it remains difficult to identify pathology and tumor type based on the lesion's endoscopic appearance. Despite its limitations, CE provides crucial information leading in most cases to changes in subsequent patient management. Whether the use of CE in combination with other new diagnostic (MRI or multidetector CT enterography) and therapeutic (Push-and-pull enteroscopy) techniques will lead to earlier diagnosis and treatment of these neoplasms, ultimately resulting in a survival advantage and in cost savings, remains to be determined through carefully-designed studies.
Article
Background and aims: Small bowel submucosal lesions (SBSL) and innocent bulges may have an identical appearance and be difficult to distinguish on small bowel capsule endoscopy (SBCE). Recently, Pirelli et al. proposed a score, smooth, protruding lesion index on capsule endoscopy (SPICE), in order to differentiate between the two. We aimed to evaluate and validate SPICE as a differentiation method between innocent bulges and SBSLs. Methods: We evaluated all SBCEs performed in our department between January 2005 and September 2015, and selected the ones with a smooth, round, protruding lesion in the small bowel. Lesions with suspicious characteristics were excluded. A video clip of the region of interest was created and SPICE was assigned blindly and independently by two endoscopists. We determined the discriminative ability of SPICE using the definitive diagnosis of each patient as the standard criteria. Results: We included 30 SBCEs corresponding to 12 SBSLs (four gastrointestinal stromal tumors, two neuroendocrine tumors, four lipomas and two polypoid lymphangiectasias) and 18 innocent bulges. SPICE scores ranged from 0 to 4, allowing the distinction between SBSLs and innocent bulges (p < 0.001). SPICE > 2 had a 66.7% sensitivity, 100.0% specificity, 100.0% positive predictive value and 78.3% negative predictive value, and the area under the curve was 0.88 (95% CI, 0.73-1.00; p < 0.001) for the diagnosis of SBSL. Conclusions: Our data support SPICE, namely a score > 2, as a predictive method of SBSLs. Taking into account its simplicity, it may be very useful in the distinction between SBSLs and innocent bulges on SBCE.
Article
In summary, small-intestine tumors are a rare phenomenon, but they are being discovered more frequently with newer diagnostic techniques. Prior studies of the small bowel were limited, making the diagnosis difficult. With the advent of CE and deep enteroscopy, gastroenterologists are finding these tumors at an earlier stage, thereby offering better management options for these patients. Although the incidence of small-bowel tumors has increased, the survival rates have remained the same. This may be a lag-time bias but could be a future area of research in this emerging field.
Article
Computerised processing of medical images can ease the search of the representative features in the images. The endoscopic images possess rich information expressed by texture and regions affected by diseases, such as ulcer or coli, may have different texture features. In this paper schemes have been developed to extract features from the texture spectra in the chromatic and achromatic domains for a selected region of interest from each colour component histogram of images acquired by the M2A Swallowable Imaging Capsule. The implementation of neural network schemes and the concept of fusion of multiple classifiers have been also adopted in this paper. The preliminary test results support the feasibility of the proposed method.
Article
Previous studies have shown an increasing incidence of small bowel tumors in the United States. Our objective was to assess this increase by examining changes in histology-specific incidence, treatment, and survival. Patients with small bowel malignancies were identified from the National Cancer Data Base (NCDB, 1985-2005) and the Surveillance Epidemiology and End Results (SEER, 1973-2004) database. Age-adjusted incidence rates were calculated using SEER. Treatment and survival trends over time were examined using the National Cancer Data Base. Regression models were developed to assess survival over time. Sixty-seven thousand eight hundred forty-three patients were identified with small bowel malignancies: 37.4% carcinoid, 36.9% adenocarcinomas, 8.4% stromal tumors, and 17.3% lymphomas. From 1973 to 2004, the incidence of carcinoid tumors increased more than 4-fold (2.1 to 9.3 per million), whereas changes in adenocarcinomas, stromal tumors, and lymphomas were less pronounced. From 1985 to 2005, utilization of surgery increased significantly for carcinoid tumors from 78.8% to 87.4% (P < 0.0001). Adjuvant chemotherapy utilization for adenocarcinoma increased from 8.1% in 1985 to 23.8% in 2005 (P < 0.0001). Treatment over time was generally unchanged for lymphoma and stromal tumors. Five-year survival after resection remained unchanged over time for all histologic subtypes even after adjusting for changes in patient demographics, tumor characteristics, and treatment approaches. The overall incidence of small intestine malignancies has increased considerably, primarily because of carcinoid tumors which are now the most common small bowel cancer. With current treatments, survival has remained relatively unchanged over the last 20 years. Novel therapeutic options need to be investigated.