Spectral CT: Preliminary Studies in the Liver Cirrhosis

Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Henan Province 450052, China.
Korean journal of radiology: official journal of the Korean Radiological Society (Impact Factor: 1.57). 07/2012; 13(4):434-42. DOI: 10.3348/kjr.2012.13.4.434
Source: PubMed


To investigate the value of spectral CT imaging in the diagnosis and classification of liver cirrhosis during the arterial phase (AP) and portal venous phase (PVP).
Thirty-eight patients with liver cirrhosis (Child-Pugh class A/B/C: n = 10/14/14), and 43 patients with healthy livers, participated in this study. The researchers used abdominal spectral CT imaging during AP and PVP. Iodine concentration, derived from the iodine-based material-decomposition image and the iodine concentration ratio (IC(ratio)) between AP and PVP, were obtained. Statistical analyses {two-sample t test, One-factor analysis of variance, and area under the receiver operating characteristic curve (A [z])} were performed.
The mean normalized iodine concentration (NIC) (0.5 ± 0.12) during PVP in the control group was significantly higher than that in the study group (0.4 ± 0.10 on average, 0.4 ± 0.08 for Class A, 0.4 ± 0.15 for Class B, and 0.4 ± 0.06 for Class C) (All p < 0.05). Within the cirrhotic liver group, the mean NIC for Class C during the AP (0.1 ± 0.05) was significantly higher than NICs for Classes A (0.1 ± 0.06) and B (0.1 ± 0.03) (Both p < 0.05). The IC(ratio) in the study group (0.4 ± 0.15), especially for Class C (0.5 ± 0.14), was higher than that in the control group (0.3 ± 0.15) (p < 0.05).The combination of NIC and IC(ratio) showed high sensitivity and specificity for differentiating healthy liver from cirrhotic liver, especially in Class C cirrhotic liver.
Spectral CT Provides a quantitative method with which to analyze the cirrhotic liver, and shows the potential value in the classification of liver cirrhosis.

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    • "This is vitally important in imaging liver fibrosis, which requires quantification of a number of different tissue types including healthy liver tissue, fibrotic liver tissue, blood, and contrast agent. Furthermore, DECT has been shown to be a quantitative method to analyze the cirrhotic liver with high sensitivity and specificity [28], demonstrating potential application to the fibrotic liver as well. Moreover, DECT does not bring additional dose to the patient, operating within the limits specified by the American College of Radiology guidelines for abdominal CT [27], and has even demonstrated performance at or above the standards set by conventional CT [29]. "
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    ABSTRACT: Assessing the severity of liver fibrosis has direct clinical implications for patient diagnosis and treatment. Liver biopsy, typically considered the gold standard, has limited clinical utility due to its invasiveness. Therefore, several imaging-based techniques for staging liver fibrosis have emerged, such as magnetic resonance elastography (MRE) and ultrasound elastography (USE), but they face challenges that include limited availability, high cost, poor patient compliance, low repeatability, and inaccuracy. Computed tomography (CT) can address many of these limitations, but is still hampered by inaccuracy in the presence of confounding factors, such as liver fat. Dual-energy CT (DECT), with its ability to discriminate between different tissue types, may offer a viable alternative to these methods. By combining the "multi-material decomposition" (MMD) algorithm with a biologically driven hypothesis we developed a method for assessing liver fibrosis from DECT images. On a twelve-patient cohort the method produced quantitative maps showing the spatial distribution of liver fibrosis, as well as a fibrosis score for each patient with statistically significant correlation with the severity of fibrosis across a wide range of disease severities. A preliminary comparison of the proposed algorithm against MRE showed good agreement between the two methods. Finally, the application of the algorithm to longitudinal DECT scans of the cohort produced highly repeatable results. We conclude that our algorithm can successfully stratify patients with liver fibrosis and can serve to supplement and augment current clinical practice and the role of DECT imaging in staging liver fibrosis.
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    ABSTRACT: Objective: To investigate the value of spectral CT for the discrimination of benign and malignant lung lesions through multi-parameter quantitative measurement. Methods: Eighty-one patients who had lung nodule or mass on X-ray or plain CT were scanned using spectral CT, generating iodine concentration, water concentration and 101 sets of monochromatic images. Iodine concentration, water concentration, spectrum energy curve and CT value at 40 keV were measured with spectral post-processing software. 70 eligible patients were divided into pneumonia group and tumor group. ANOVA analysis was used for the statistic analysis in two groups. Results: The iodine concentration in pneumonia group and tumor group were (1.47 ± 0.17) and (0.77 ± 0.19) g/L (E = 203.97, P < 0.05). The slope rates of spectrum energy curve in pneumonia group and tumor group were 1.65 ± 0.27 and 0.88 ± 0.22 (F = 161.59, P < 0.05). The CT values at 40 keV in pneumonia group and tumor group were (139.00 ± 16.25) and (83.29 ± 17.44) HU (F = 160.45, P < 0.05), there were significant differences in iodine concentration, slope rates and CT values at 40 keV between two groups. The water concentration in pneumonia group and tumor group were (1021.56 ± 11.68) and (1022.62 ± 8.56) g/L (F = 0.19, P > 0.05), there was no significant difference. Conclusion: Spectral CT technique has very important value for the discrimination of benign and malignant lung lesions.
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    No preview · Article · Nov 2013 · Clinical Radiology
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