Diagnosis of cirrhosis by spiral computed tomography: a case-control study with feature analysis and assessment of interobserver agreement

Liver Anatomy 2.0 Quiz: Test Your Knowledge

The liver is one the largest organs in the abdomen and the most frequent site of metastases for gastrointestinal tumors. Surgery on this complex and highly vascularized organ can be associated with high morbidity even in experienced hands. A thorough understanding of liver anatomy is key to approaching liver surgery with confidence and preventing complications. The aim of this quiz is to provide an active learning tool for a comprehensive understanding of liver anatomy and its integration into clinical practice.

Detecting liver cirrhosis in computed tomography scans using clinically-inspired and radiomic features

Hepatic cirrhosis is an increasing cause of mortality in developed countries-it is the pathological sequela of chronic liver diseases, and the final liver fibrosis stage. Since cirrhosis evolves from the asymptomatic phase, it is of paramount importance to detect it as quickly as possible, because entering the symptomatic phase commonly leads to hospitalization and can be fatal. Understanding the state of the liver based on the abdominal computed tomography (CT) scans is tedious, user-dependent and lacks reproducibility. We tackle these issues and propose an end-to-end and reproducible approach for detecting cirrhosis from CT. It benefits from the introduced clinically-inspired features that reflect the patient's characteristics which are often investigated by experienced radiologists during the screening process. Such features are coupled with the radiomic ones extracted from the liver, and from the suggested region of interest which captures the liver's boundary. The rigorous experiments, performed over two heterogeneous clinical datasets (two cohorts of 241 and 32 patients) revealed that extracting radiomic features from the liver's rectified contour is pivotal to enhance the classification abilities of the supervised learners. Also, capturing clinically-inspired image features significantly improved the performance of such models, and the proposed features were consistently selected as the important ones. Finally, we showed that selecting the most discriminative features leads to the Pareto-optimal models with enhanced feature-level interpretability, as the number of features was dramatically reduced (280×) from thousands to tens.

Quantitative liver surface nodularity score based on imaging for assessment of early cirrhosis in patients with chronic liver disease: A protocol for systematic review and meta-analysis

BACKGROUND

Early stage of cirrhosis is of great value in the diagnosis and management in patients with chronic liver disease (CLD). Recent studies have shown that quantitative liver surface nodularity (LSN) score based on imaging techniques can be used to predict the early cirrhosis stage noninvasively, with varied diagnostic accuracy and limited sample size. Hence, this study will evaluate the diagnostic accuracy of LSN in the prediction of early cirrhosis.

METHODS

We will conduct a comprehensive search in PubMed, Web of Science, Cochrane Library, and Chinese biomedical databases to identify eligible studies. The literature screening, data extraction, data analysis, and quality assessment will then be carried out. The summary receiver-operating-characteristic (ROC) and pooled sensitivity, specificity will be calculated to summarize the diagnostic performance of LSN using a random-effect model. A meta-regression analysis will be performed to investigate the underlying cause of the heterogeneity.

RESULTS

This study will evaluate the diagnostic accuracy of LSN score in the identification of early cirrhosis, which may further determine whether this method can be used as an alternative in the assessment of CLD patients.

CONCLUSIONS

This study will help to determine the diagnostic accuracy and summarize the recent evidence on this issue.

STUDY REGISTRATION

INPLASY2020100096.

Using qualitative descriptors of chronic liver disease on MRI: A practice prone to error

PURPOSE

Assess accuracy of qualitative descriptors for chronic liver disease (CLD) in radiology reports compared to histopathological staging.

METHODS

Database search for patients with hepatitis B/C (HBV/HCV) CLD, abdominal MRI during 2009-2016, and liver biopsy within 6 months of MRI or prior biopsy showing cirrhosis. Reports reviewed for mention of CLD and associated descriptors. Findings stratified into categories: normal/no mention of CLD; changes of CLD without qualitative descriptor; mild/early; moderate; severe/advanced and cirrhosis. Descriptive ranges categorized to the lesser degree. Percent concordance/discordance of descriptors and Scheuer stage (F0-F4), false positive (FP), false negative (FN) and sensitivity/specificity calculated.

RESULTS

309 patients, median age 54 (24-74). 91% had HCV (282/309), 7% HBV and 2% both HBV/HCV. Biopsy showed 19% without CLD/F0; 8% F1, 15% F2, 15% F3 and 43% F4. 188 MRI reports (61%) stated CLD was present; however, 16 had no fibrosis on histopathology (9% FP). 39% (121/309) did not mention or stated no CLD; however, 78 had CLD on histopathology (64% FN). 59% of FN were early fibrosis (F1 or F2), 27% F3 and 11% F4. Overall sensitivity and specificity was 69% and 73%, respectively. 77% (145/188) of MRI reports used a descriptive qualifier when describing CLD. 10% were concordant with exact histopathology staging. Of discordant reports, 90% identified CLD but under-called severity.

CONCLUSION

Abdominal radiologists can detect CLD on MRI but degree of CLD is often under-called compared to histopathology suggesting radiologists should refrain from qualitative descriptors in assessing CLD on MRI and reaffirms the need for quantitative imaging.

The many faces of cirrhosis

There are many different imaging features of cirrhosis, some of which are less commonly recognized. It is important that the radiologist is familiar with these features as cirrhosis can be first discovered on imaging performed for other indications, thus alerting the clinician for the need to screen for complications of cirrhosis and referral for potential treatment. This article reviews the various imaging findings of cirrhosis seen on cross-sectional imaging of the abdomen and pelvis.

Feasibility and reproducibility of liver surface nodularity quantification for the assessment of liver cirrhosis using CT and MRI

Purpose

To assess intra-observer, inter-observer and inter-modality (CT vs. MRI) reproducibility of liver surface nodularity (LSN) scores measured with software used for detection of liver fibrosis.

Methods

This IRB-approved retrospective study included patients with both abdominal CT and MRI within 6 months of histopathologic sampling. Two independent observers used post-processing software to quantify LSN scores on axial non-contrast CT (NCT), axial contrast-enhanced CT (CECT), axial T2-weighted (T2W) HASTE, and axial and coronal post-gadoxetic acid T1-weighted (T1W) images obtained during the hepatobiliary phase (HBP). Ten slices were used to acquire the LSN scores. Intra-observer, inter-observer, and inter-modality (CT vs. MRI) reproducibility were assessed with intraclass correlation coefficient (ICC) and coefficients of variability (CV). Accuracy for detection of cirrhosis was evaluated for each technique.

Results

26 patients (M/F 19/7, mean age 57 years), including 7 with cirrhosis (26.9%), were assessed. Technical failure occurred with NCT (1/23, 4.3%) and T2 HASTE (8/28, 28.6%). Intra-observer reproducibility was excellent for NCT, CECT, axial and coronal T1W HBP [ICC ≥ 0.92, CV ≤ 8%]. Inter-observer reproducibility was also excellent for NCT and CECT (ICC ≥ 0.95, CV ≤ 7.3%) and for coronal T1W HBP (ICC = 0.84, CV = 5.6%). There was fair to moderate agreement between CT and MRI (ICC 0.20–0.44). There were significant differences in mean LSN scores between non-cirrhotic and cirrhotic patients with NCT (2.6 vs. 4.2, p = 0.04) and T1W HBP (3.7 vs. 4.6; p = 0.01) images, with AUCs of 0.81 and 0.82, respectively.

Conclusions

LSN measurement is highly reproducible with NCT and post-contrast T1W HBP on MRI, with different results obtained between CT and MRI.

Quantitative detection of cirrhosis: towards the development of computer-assisted detection method

There are distinct morphologic features of cirrhosis on CT examinations; however, such impressions may be subtle or subjective. The purpose of this study is to build a computer-aided diagnosis (CAD) method to help radiologists with this diagnosis. One hundred sixty-seven abdominal CT examinations were randomly divided into training (n = 88) and validation (n = 79) sets. Livers were analyzed for morphological markers of cirrhosis and logistic regression models were created. Using the area under curve (AUC) for model performance, the best model had 0.89 for the training set and 0.85 for the validation set. For radiology reports, sensitivity of reporting cirrhosis was 0.45 and specificity 0.99. Using the predictive model adjunctively, radiologists' sensitivity increased to 0.63 and specificity slightly decreased to 0.97. This study demonstrates that quantifying morphological features in livers may be utilized for diagnosing cirrhosis and for developing a CAD method for it.

Clinically severe portal hypertension: role of multi-detector row CT features in diagnosis

BACKGROUND AND AIM

To explore the CT signs which permit estimation of clinically severe portal hypertension (PH) [≥ 12 of hepatic vein pressure gradient (HVPG)].

METHODS

One-hundred and seven consecutive patients who underwent HVPG measurement in the PH group and 52 controls were included. The diameters of main portal vein (øMPV), superior mesenteric vein (øSMV), splenic vein (øSV), and left gastric vein, øMPV/øSV, øSMV/øSV, as well as estimated spleen volumes were evaluated on the CT scan. The grade of varix and ascites were also evaluated semi-quantitatively. We explored the statistically significant CT features related to severe PH and performed a logistic regression analysis for an estimation model for severe PH.

RESULTS

øMPV/øSV and øSMV/øSV tended to gradually increase as the PH became severer, and the difference between severe and not severe groups was statistically significant (p = 0.015 and 0.038, respectively). According to the regression analysis, øSMV/øSV and the grade of esophageal varix and ascites were finally included as related variables for predicting severe PH. The odds ratio (OR) of øSMV/øSV was 4.596, and large esophageal varix (OR 4.135) and mild (OR 3.051) and large amount of ascites (OR 21.781) were statistically significantly related to severe PH.

CONCLUSION

Changing diameters of portal system, the grades of esophageal varices and ascites on multi-detector row computed tomography might be indicative features for clinically severe PH.

Imaging appearance in acute liver failure: correlation with clinical and pathology findings

BACKGROUND AND AIM

Acute liver failure (ALF) is characterized by sudden liver injury without underlying chronic liver disease. Excluding underlying cirrhosis in these patients is often difficult and liver biopsy may be impractical. We review the imaging appearance of acute hepatic failure in patients who underwent transplant and correlate these findings with clinical, laboratory and pathology parameters.

METHODS

This is a retrospective review of 47 patients without known chronic liver disease who presented to three institutions between 2002 and 2010 with ALF, 46 of which underwent subsequent orthotopic liver transplantation. Pre-transplant ultrasound, computed tomography and magnetic resonance imaging scans were reviewed for parenchymal homogeneity, surface nodularity and evidence of portal hypertension. Explant histopathology, laboratory values and time intervals between symptom onset to initial imaging and transplant were correlated with imaging findings.

RESULTS

The majority of patients with ALF had abnormal radiographic findings. Ascites was seen in 65% of patients. Splenomegaly, collateral vessel formation and hepatofugal flow in the portal vein were present in 28, 15 and 9% of patients, respectively. Nodular liver surface was noted in 23% of patients, more commonly in patients who had been ill for more than 7 days. Liver surface nodularity correlated with massive hepatic necrosis on histology and wrinkled capsule on visual inspection of explanted liver specimen.

CONCLUSION

Imaging findings in ALF was variable and can resemble cirrhosis. Assessment for underlying cirrhosis in the setting of liver failure should not be based on imaging findings.

Development of a quantitative method for the diagnosis of cirrhosis

OBJECTIVE

To develop a novel non-invasive, quantitative approach utilizing computed tomography scans to predict cirrhosis.

MATERIALS AND METHODS

A total of 105 patients (54 cirrhosis and 51 normal) who had CT scans within 6 months of a liver biopsy or were identified through a Trauma registry were included in this study. Patients were randomly divided into the training set (n = 81) and the validation set (n = 24). Each liver was segmented in a semi-automated fashion from a computed tomography scan using Mimics software. The resulting liver surfaces were saved as a stereo lithography mesh into an Oracle database, and analyzed in MATLAB(®) for morphological markers of cirrhosis.

RESULTS

The best predictive model for diagnosing cirrhosis consisted of liver slice-bounding box slice ratio, the dimensions of the liver bounding box, liver slice area, slice perimeter, surface volume and adjusted surface area. With this model, we calculated an area under the receiver operating characteristic curve of 0.90 for the training set, and 0.91 for the validation set. For comparison, we calculated an area under the receiver operating characteristic curve of 0.70 for our dataset when we used the lab value based aspartate aminotransferase-platelet ratio index, another reported model for predicting cirrhosis. Last, by combining the aspartate aminotransferase-platelet ratio index and our model, we obtained an area under the receiving operating characteristic of 0.95.

CONCLUSION

This study shows "proof of concept" that quantitative image analysis of livers on computed tomography scans may be utilized to predict cirrhosis in the absence of a liver biopsy.

Radiologic mimics of cirrhosis

OBJECTIVE

The objective of this article is to provide a practical review of the conditions other than cirrhosis that can result in diffuse surface nodularity of the liver or portal hypertension.

CONCLUSION

Conditions that can mimic cirrhosis on imaging include pseudocirrhosis of treated breast cancer metastases to the liver, fulminant hepatic failure, miliary metastases, sarcoidosis, schistosomiasis, congenital hepatic fibrosis, idiopathic portal hypertension, early primary biliary cirrhosis, chronic Budd-Chiari syndrome, chronic portal vein thrombosis, and nodular regenerative hyperplasia.

Frequency and histopathologic basis of hepatic surface nodularity in patients with fulminant hepatic failure

PURPOSE

To determine the frequency and histopathologic basis of hepatic surface nodularity at imaging in patients with fulminant hepatic failure.

MATERIALS AND METHODS

The committee on human research approved this HIPAA-compliant study and waived written informed consent. Thirty-five consecutive patients [24 female [mean age, 38 years +/- 19 (standard deviation); range, 1-67 years] and 11 male [mean age, 29 years +/- 22; range, 2-61 years]] with a mean age of 35 years +/- 20 (range, 1-67 years) who underwent liver transplantation for fulminant hepatic failure at our institution during a 5-year period were retrospectively identified. Pretransplant ultrasonographic (n = 38; three patients each had two studies) and computed tomographic (n = 2) studies were retrospectively and independently reviewed for hepatic surface nodularity. Liver explant histopathologic findings (n = 33; slides unavailable in two patients) were reviewed for cirrhosis and for the combination of alternating foci of confluent regenerative nodules and necrosis. Differences among patients with nodular versus smooth liver surfaces in the proportion with the two histopathologic findings were compared with Fisher exact test. Differences in illness duration and maximum liver biochemical indices were compared with Mann-Whitney Rank Sum test.

RESULTS

Fifteen of 35 patients (43%) demonstrated hepatic surface nodularity at pretransplant imaging, none of whom had cirrhosis at histopathologic examination. One patient with a smooth liver surface had cirrhosis. Compared with those who had a smooth liver surface, patients with hepatic surface nodularity had a significantly greater proportion with the histopathologic finding of a combination of alternating foci of confluent regenerative nodules and necrosis (12 of 14 vs one of 19, P < .001), longer illness duration (31 days +/- 32 vs 13 days +/- 13, P = .029), and lower maximum liver biochemical indices.

CONCLUSION

Hepatic surface nodularity is commonly seen at imaging in fulminant hepatic failure and usually reflects a combination of alternating foci of confluent regenerative nodules and necrosis; this is important because an erroneous radiologic diagnosis of cirrhosis in this setting could adversely affect transplantation status.