V. Carlota Andreu-Arasa's research while affiliated with Boston University and other places

Publications (18)

Article
A normal variant is defined as an incidental, often asymptomatic, imaging finding that mimics a true pathologic condition. Given the complex anatomy and wide variety of normal variants in the oral and maxillofacial region, a thorough understanding of commonly encountered normal variants in this region is essential to avoid misinterpretation and unn...
Article
Conventional two-material dual-energy CT (DECT) decomposition is insufficient to model bone marrow, which contains three materials [bone minerals, red marrow (water), yellow marrow (fat)]. We explore an image-domain three-material decomposition DECT technique accounting for bone minerals in a bone-water-fat phantom. Three-material decomposition fat...
Article
Full-text available
Background This study aimed to assess the utility of deep learning analysis using pretreatment FDG-PET images to predict local treatment outcome in oropharyngeal squamous cell carcinoma (OPSCC) patients. Methods One hundred fifty-four OPSCC patients who received pretreatment FDG-PET were included and divided into training ( n = 102) and test ( n =...
Article
Objectives The purpose of this study was to investigate computed tomography (CT) texture features of mucosal thickening of maxillary sinus mucosa to differentiate odontogenic maxillary sinusitis (OMS) from non-odontogenic maxillary sinusitis (NOMS).Methods Eighteen OMS patients and age- and gender-matched 18 NOMS patients who underwent sinus CT wer...
Article
Aim: To investigate the value of machine learning-based multiparametric analysis using 2-[18F]-fluoro-2-deoxy-d-glucose positron-emission tomography (FDG-PET) images to predict treatment outcome in patients with oral cavity squamous cell carcinoma (OCSCC). Materials and methods: Ninety-nine patients with OCSCC who received pretreatment integrate...
Article
Objectives Cervical lymph nodes with internal cystic changes are seen with several pathologies, including papillary thyroid carcinoma (PTC), tuberculosis (TB), and HPV-positive oropharyngeal squamous cell carcinoma (HPV + OPSCC). Differentiating these lymph nodes is difficult in the absence of a known primary tumor or reliable medical history. In t...
Article
Objective Diagnosis of otosclerosis on temporal bone CT images is often difficult because the imaging findings are frequently subtle. Our aim was to assess the utility of deep learning analysis in diagnosing otosclerosis on temporal bone CT images.MethodsA total of 198 temporal bone CT images were divided into the training set (n = 140) and the tes...
Article
Purpose: Cervical lymph nodes with cystic changes are an important finding seen with several pathologies including papillary thyroid carcinoma (PTC), tuberculosis (TB) and HPV-positive oropharyngeal squamous cell carcinoma (HPV + OPSCC). In the absence of known primary tumor or conclusive medical history, differentiating among these nodes is diffi...
Article
Purpose: Osteoradionecrosis (ORN) is a serious complication after radiotherapy (RT), even in the era of intensity modulated radiation therapy (IMRT). The purpose of this study was to evaluate whether 18F-FDG PET/CT can predict ORN associated with periodontal disease in patients with oropharyngeal or oral cavity squamous cell carcinoma (OP/OC SCC)...
Article
Objective To assess the utility of deep learning analysis using 18F-fluorodeoxyglucose (FDG) uptake by positron emission tomography (PET/CT) to predict disease-free survival (DFS) in patients with oral cavity squamous cell carcinoma (OCSCC).Methods One hundred thirteen patients with OCSCC who received pretreatment FDG-PET/CT were included. They wer...
Article
Purpose To characterize the CT imaging features of head and neck amyloidosis and correlate with extent of disease and clinical outcomes. Materials and Methods This retrospective study included 80 patients with head and neck amyloidosis who underwent soft tissue neck CT imaging between November 2003 and April 2018. The CT imaging features including...
Article
Purpose To assess the diagnostic accuracy of imaging-based deep learning analysis to differentiate between human papillomavirus (HPV) positive and negative oropharyngeal squamous cell carcinomas (OPSCCs) using FDG-PET images. Methods One hundred and twenty patients with OPSCC who underwent pretreatment FDG-PET/CT were included and divided into the...
Article
Purpose: Cystic and cystic-appearing odontogenic lesions of the jaw may appear similar on CT imaging. Accurate diagnosis is often difficult although the relationship of the lesion to the tooth root or crown may offer a clue to the etiology. The purpose of this study was to evaluate CT texture analysis as an aid in differentiating cystic and cystic...
Article
Many systemic diseases or conditions can affect the maxillofacial bones; however, they are often overlooked or incidentally found at routine brain or head and neck imaging performed for other reasons. Early identification of some conditions may significantly affect patient care and alter outcomes. Early recognition of nonneoplastic hematologic diso...
Article
Many bone dysplasias, some common and others rare, may involve the temporal bone causing conductive, sensorineural, or mixed hearing loss, vestibular dysfunction, or skull base foraminal narrowing, potentially affecting quality of life. Some conditions may affect only the temporal bone, whereas others may be more generalized, involving different re...
Article
Many systemic diseases or conditions can affect the maxillofacial bones; however, they are often overlooked or incidentally found at routine brain or head and neck imaging performed for other reasons. Early identification of some conditions may significantly affect patient care and alter outcomes. Early recognition of nonneoplastic hematologic diso...
Article
Full-text available
Background and purpose: The accurate prediction of prognosis and failure is crucial for optimizing treatment strategies for patients with cancer. The purpose of this study was to assess the performance of pretreatment CT texture analysis for the prediction of treatment failure in primary head and neck squamous cell carcinoma treated with chemoradi...

Citations

... When scanning the database, there is no need to repeat the established conditions, which reduces the memory consumption and effectively improves the operation efficiency. e essence of classical association classification algorithm is to adopt confidence degree, support degree, and rule item so that it can consider both confidence degree and support degree comprehensively [11]. In this study, an association classification algorithm was used and pruned by statistical measurement technology to obtain more accurate association rules and improve the accuracy of the association classifier. ...
... Deep learning has also been applied to positron emission tomography (PET) and computed tomography (CT) images from patients with OSCC. For example, a deep learning model predicted disease-free survival in patients with OSCC based on PET images, yielding accuracy, sensitivity, and specificity of 80% (Fujima et al. 2020). Another study tested the performance of a deep learning model to predict disease-free survival based on CT images and reported an accuracy of 84% and a specificity of 89.7% but a sensitivity of only 66.9% (Ariji et al. 2020). ...
... It is extremely rare for laryngeal cancer patients to present the findings described in this study, and these imaging features are useful for differentiation. Although the imaging findings of laryngeal amyloidosis are relatively similar to those of laryngeal sarcoidosis in that laryngeal amyloidosis shows a low density; however, imaging features such as more localized lesions, calcification, and a somewhat higher frequency of glottis involvement [28] may facilitate differentiation from laryngeal sarcoidosis. Laryngeal tuberculosis is similar to laryngeal sarcoidosis in that it tends to have bilateral involvement; however, it also shows a heterogeneous enhancement effect, relatively strong enhancement, less edematous appearance, more irregular margin, involvement of the vocal cords, and involvement of the pre-epiglottic and paraglottic spaces [29][30][31]. ...
... In all slices with the tumor FDG uptake, a specific slice that included the largest tumor area (i.e., the largest number of pixels) was selected in axial and coronal planes and further analyzed. All selected images were converted from the DICOM to Joint Photographic Experts Group (JPEG) picture data; the grayscale level was set so that the pixel with non-FDG uptake (i.e., SUV = 0) becomes black (lower limit) and the pixel with its SUV of 30 becomes white (upper limit) [16]. These processes are illustrated in Fig. 1. ...
... Masafumi Odaad et al. 22 have applied texture and statistical feature extraction methods for the detection and classification of various cysts in dental images. In this work, the authors differentiated dentigerous cysts and odontogenic keratocysts using feature extraction methods as histogram features, gray level co-occurrence matrix feature, gray-level run length (GLRL) features, gray-level gradient matrix (GLGM) features, and law's texture features. ...
... Some patients develop a mixed hearing loss due to extension of the disease to the cochlear endosteum and spiral ligament 6 that releases proteolytic enzymes into the inner ear. 5,7 Isolated sensorineural hearing loss is exceptional. [8][9][10] Approximately one-third of patients with otosclerosis demonstrated a clinical progression of the sensorineural component of hearing loss, 11 and the incidence of vertigo also increased with the duration of hearing loss. ...
... The diagnosis of bone pathologies is still based on radiographic interpretation and hard tissue biopsy evaluations by a specialist [381]. Treatment timing and appropriate management approaches have increased with advances in technology [382]. In this chapter, the discussion is limited to the most common pathologies associated with the jaws, focusing on the difficulty of diagnosis and the type of treatment. ...
... Among the 26 selected papers (Table 2), the largest number were from the USA [41][42][43][44][45][46][47][48][49][50][51] and Korea [52][53][54][55], whereas the rest of them were from Switzerland [56,57], the Netherlands [58,59], Italy [19,60], Canada [61], Japan [62,63], Taiwan [64,65] and China [45]. Fourteen articles [19,41,[43][44][45][46][47]49,52,53,55,57,58,62] had the oropharynx as the anatomic area of interest and seven articles [42,48,54,56,[59][60][61] analysed the head and neck district with sections dedicated to the oropharynx. ...