Predicting histopathology markers of endometrial carcinoma with a quantitative image analysis approach based on spherical harmonics in multiparametric MRI.

PURPOSE: Identifying optimal machine learning pipelines for computer-aided diagnosis is key for the development of robust, reproducible, and clinically relevant imaging biomarkers for endometrial carcinoma. The purpose of this study was to introduce the mathematical development of image descriptors computed from spherical harmonics (SPHARM) decompositions as well as the associated machine learning pipeline, and to evaluate their performance in predicting deep myometrial invasion (MI) and histopathological high-grade in preoperative multiparametric magnetic resonance imaging (MRI). PATIENTS AND METHODS: This retrospective study included 128 women with histopathology-confirmed endometrial carcinomas who underwent 1.5-T MRI before hysterectomy between January 2011 and July 2015. SPHARM descriptors of each tumor were computed on multiparametric MRI images (T2-weighted, diffusion-weighted, dynamic contrast-enhanced-MRI and apparent diffusion coefficient maps). Tensor-based logistic regression was used to classify two-dimensional SPHARM rotationally-invariant descriptors. Head-to-head comparisons with radiomics analyses were performed with DeLong tests with Bonferroni-Holm correction to compare diagnostic performances. RESULTS: With all MRI contrasts, SPHARM analysis resulted in area under the curve, sensitivity, specificity, and balanced accuracy values of 0.94 (95% confidence interval [CI]: 0.85, 1.00), 100% (95% CI: 100, 100), 74% (95% CI: 51, 92), 87% (95% CI: 78, 98), respectively, for predicting deep MI. For predicting high-grade tumor histology, the corresponding values for the same diagnostic metrics were 0.81 (95% CI: 0.64, 0.90), 93% (95% CI: 67, 100), 63% (95% CI: 45, 79) and 78% (95% CI: 64, 86). The corresponding values achieved via radiomics were 0.92 (95% CI: 0.82, 0.95), 82% (95% CI: 65, 93), 80% (95% CI: 51, 94), 81% (95% CI: 70, 91) for deep MI and 0.72 (95% CI: 0.58, 0.83), 93% (95% CI: 65, 100), 55% (95% CI: 41, 69), 74% (95% CI: 52, 88) for high-grade histology. The diagnostic performance of the SPHARM analysis was not significantly different (P = 0.62) from that of radiomics for predicting deep MI but was significantly higher (P = 0.044) for predicting high-grade histology. CONCLUSION: The proposed SPHARM analysis yields similar or higher diagnostic performance than radiomics in identifying deep MI and high-grade status in histology-proven endometrial carcinoma.

Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.

Background Stratifying high-risk histopathologic features in endometrial carcinoma is important for treatment planning. Radiomics analysis at preoperative MRI holds potential to identify high-risk phenotypes. Purpose To evaluate the performance of multiparametric MRI three-dimensional radiomics-based machine learning models for differentiating low- from high-risk histopathologic markers-deep myometrial invasion (MI), lymphovascular space invasion (LVSI), and high-grade status-and advanced-stage endometrial carcinoma. Materials and Methods This dual-center retrospective study included women with histologically proven endometrial carcinoma who underwent 1.5-T MRI before hysterectomy between January 2011 and July 2015. Exclusion criteria were tumor diameter less than 1 cm, missing MRI sequences or histopathology reports, neoadjuvant therapy, and malignant neoplasms other than endometrial carcinoma. Three-dimensional radiomics features were extracted after tumor segmentation at MRI (T2-weighted, diffusion-weighted, and dynamic contrast-enhanced MRI). Predictive features were selected in the training set with use of random forest (RF) models for each end point, and trained RF models were applied to the external test set. Five board-certified radiologists conducted MRI-based staging and deep MI assessment in the training set. Areas under the receiver operating characteristic curve (AUCs) were reported with balanced accuracies, and radiologists' readings were compared with radiomics with use of McNemar tests. Results In total, 157 women were included: 94 at the first institution (training set; mean age, 66 years ± 11 [SD]) and 63 at the second institution (test set; 67 years ± 12). RF models dichotomizing deep MI, LVSI, high grade, and International Federation of Gynecology and Obstetrics (FIGO) stage led to AUCs of 0.81 (95% CI: 0.68, 0.88), 0.80 (95% CI: 0.67, 0.93), 0.74 (95% CI: 0.61, 0.86), and 0.84 (95% CI: 0.72, 0.92), respectively, in the test set. In the training set, radiomics provided increased performance compared with radiologists' readings for identifying deep MI (balanced accuracy, 86% vs 79%; P = .03), while no evidence of a difference was observed in performance for advanced FIGO stage (80% vs 78%; P = .27). Conclusion Three-dimensional radiomics can stratify patients by using preoperative MRI according to high-risk histopathologic end points in endometrial carcinoma and provide nonsignificantly different or higher performance than radiologists in identifying advanced stage and deep myometrial invasion, respectively. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Kido and Nishio in this issue.

IL28B rs12979860 polymorphism and zinc supplementation affect treatment outcome and liver fibrosis after direct-acting antiviral hepatitis C therapy.

BACKGROUND: Impact of interleukin 28B (IL28B) rs12979860 polymorphism on response to direct-acting antivirals agents in HCV genotype 4-infected patients is under investigation. Zinc may have an advantage in improvement of liver damage and treatment outcome. We aimed to evaluate IL28B polymorphism and zinc administration impact on patient response to treatment and amelioration of liver fibrosis. RESULTS: Three hundred patients on anti-HCV treatments were equally categorized into patients treated with dual therapy (sofosbuvir/ribavirin) for 24 weeks, triple therapy (sofosbuvir/ribavirin+pegylated interferon-alpha) for 12 weeks, dual therapy plus oral zinc and with triple therapy plus oral zinc. All patients were genotyped for IL28B. Sustained virologic response (SVR) was achieved in 100% of patients with CC genotypes while 15.5% of CT/TT carriers did not attain SVR. After treatment, patients with CC genotype showed improvement in liver-related parameters compared with CT/TT genotypes. Zinc supplementation was associated with improved SVR in CT/TT genotypes and liver parameters in both CC and CT/TT genotypes. Hepatic fibrosis was improved in higher percent of CC genotype (16.7%) compared with CT/TT genotypes (5.8%). Interestingly with zinc administration, improved fibrosis increased to 60.9% in CC genotype vs. 15.4% in CT/TT genotypes. CONCLUSION: Absolute SVR rates in patients with IL28B CC genotype support their selection for shorter treatment duration and therefore associated with high economic value. IL28B polymorphism is associated with improvement of hepatic functions and fibrosis after antiviral treatments. Zinc is powerful supplement not only to increase SVR in non-responders but also to improve hepatic functions and fibrosis.

Extracellular Matrix Proteins Substantiate IL-28B T allele Effect on Histological Outcome of Chronic Hepatitis C.

INTRODUCTION AND AIM: The correlation between interleukin-28B (IL-28B) polymorphisms and chronic hepatitis C (CHC) progression is debatable. Here, we aimed to evaluate the relation between IL-28B C/T genotypes and the development of cirrhotic liver. Extracellular matrix (ECM) proteins, FibroScan and model for end-stage liver disease (MELD) were used to substantiate the severity of liver disease. MATERIAL AND METHODS: IL-28B rs12979860, liver stiffness and ECM proteins were assessed in 272 CHC patients. RESULTS: Cirrhosis percentage increased to 10%, 52% and 96% with the increasing number of T alleles (CC, CT and TT, respectively). Also, elevated ECM proteins levels were correlated with the increasing number of T alleles. Interestingly, among cirrhotic patients, liver stiffness, MELD and ECM proteins were significantly (P < 0.0001) higher in patients with TT more than CT genotype. FibroScan, hyaluronic acid, Laminin, Collagen IV and the N-terminal pro-peptide of collagen type III have high accuracy to differentiate liver status in CC from TT genotype. Area under receiver-operating characteristic curve (95% CI) were 1.0 (1.0-1.0), 0.97 (0.96- 1.0), 0.93 (0.85-1.0), 0.98 (0.97-1.0) and 0.93 (0.91-0.97), respectively. CONCLUSION: This study suggests that IL-28B T allele affects the natural course of CHC type 4 and also suggests that carriage of the IL-28B C allele protects from unfavorable clinical outcomes in CHC as coexistence of C allele with T allele reduced cirrhosis severity.

Evaluating Diagnostic Accuracy of Noninvasive Tests in Assessment of Significant Liver Fibrosis in Chronic Hepatitis C Egyptian Patients.

Stage of liver fibrosis is critical for treatment decision and prediction of outcomes in chronic hepatitis C (CHC) patients. We evaluated the diagnostic accuracy of transient elastography (TE)-FibroScan and noninvasive serum markers tests in the assessment of liver fibrosis in CHC patients, in reference to liver biopsy. One-hundred treatment-naive CHC patients were subjected to liver biopsy, TE-FibroScan, and eight serum biomarkers tests; AST/ALT ratio (AAR), AST to platelet ratio index (APRI), age-platelet index (AP index), fibrosis quotient (FibroQ), fibrosis 4 index (FIB-4), cirrhosis discriminant score (CDS), King score, and Goteborg University Cirrhosis Index (GUCI). Receiver operating characteristic curves were constructed to compare the diagnostic accuracy of these noninvasive methods in predicting significant fibrosis in CHC patients. TE-FibroScan predicted significant fibrosis at cutoff value 8.5 kPa with area under the receiver operating characteristic (AUROC) 0.90, sensitivity 83%, specificity 91.5%, positive predictive value (PPV) 91.2%, and negative predictive value (NPV) 84.4%. Serum biomarkers tests showed that AP index and FibroQ had the highest diagnostic accuracy in predicting significant liver fibrosis at cutoff 4.5 and 2.7, AUROC was 0.8 and 0.8 with sensitivity 73.6% and 73.6%, specificity 70.2% and 68.1%, PPV 71.1% and 69.8%, and NPV 72.9% and 72.3%, respectively. Combined AP index and FibroQ had AUROC 0.83 with sensitivity 73.6%, specificity 80.9%, PPV 79.6%, and NPV 75.7% for predicting significant liver fibrosis. APRI, FIB-4, CDS, King score, and GUCI had intermediate accuracy in predicting significant liver fibrosis with AUROC 0.68, 0.78, 0.74, 0.74, and 0.67, respectively, while AAR had low accuracy in predicting significant liver fibrosis. TE-FibroScan is the most accurate noninvasive alternative to liver biopsy. AP index and FibroQ, either as individual tests or combined, have good accuracy in predicting significant liver fibrosis, and are better combined for higher specificity.

Enhanced liver fibrosis test using ELISA assay accurately discriminates advanced stage of liver fibrosis as determined by transient elastography fibroscan in treatment naïve chronic HCV patients.

Evaluation of liver fibrosis stage is crucial in the assessment of chronic HCV patients, regarding decision to start treatment and during follow-up. Our aim was to assess the validity of the enhanced liver fibrosis (ELF) score in discrimination of advanced stage of liver fibrosis in naïve chronic HCV patients. We prospectively evaluated liver fibrosis stage in one hundred eighty-one naïve chronic HCV Egyptian patients by transient elastography (TE)-FibroScan. Patients were categorized into mild to moderate fibrosis (≤F2) group and advanced fibrosis (≥F3) group. The ELF score components, hyaluronic acid (HA), amino-terminal propeptide of type-III-procollagen (PIIINP) and tissue inhibitor of metalloproteinase type-1 (TIMP-1), were done using ELISA test. The mean values of ELF and its individual components significantly correlated with the hepatic fibrosis stage as measured by TE-FibroScan (P value 0.001). ELF cutoff value of 9.8 generated a sensitivity of 77.8%, specificity of 67.1%, area under the receiver operator characteristic curve (AUROC) of 0.76 with 95% confidence interval [CI] (0.68-0.83) for detecting advanced fibrosis (F ≥ 3). ELF panel is a good, reliable noninvasive test and showed comparable results to TE-FibroScan in detecting liver fibrosis stage in treatment naïve chronic HCV patients.

Serum Zinc Deficiency and its Relation to Liver Fibrosis in Chronic HCV: a Real-Life Egyptian Study.

Zinc is essential for the activation of approximately 300 metallo-enzymes. Serum and hepatic zinc is decreased in chronic liver disease patients, and zinc depletion has been suggested to accelerate liver fibrosis. The study was designed to assess Zinc status in chronic HCV Egyptian patients and its relationship to fibrosis stage diagnosed by FibroScan. This was a cross-sectional study on 297 Egyptian patients with naïve chronic HCV. All patients underwent laboratory tests (including assessment of serum Zinc) and liver stiffness measurement (LSM) by Transient Elastography (FibroScan®). The study included 170 (57.2%) females and 127 (42.8%) males with a mean age 52.4 ± 10.2 years. Most of the patients had zinc deficiency as the mean zinc level was 55.5 ± 30.7 µg/dl. The FibroScan scores showed that 97 patients had mild to moderate fibrosis (≤F2), while 200 patients had advanced to severe fibrosis (˃F2). Zinc level was significantly lower in patients with ˃F2 than those with ≤F2 (52 ± 30.7 vs 62.5 ± 29.7, p value: 0.005), as the zinc values decreased with the progression of liver fibrosis. Serum zinc level had a negative significant correlation with INR and negative significant correlation with FibroScan score but no correlation to bilirubin, ALT, AST, or albumin. Most of Egyptian chronic liver disease patients had zinc deficiency. Zinc level gets significantly lower with progression of fibrosis. Zinc supplementation is essential before and during antiviral therapy for HCV.

Local tumor progression patterns after radiofrequency ablation of colorectal cancer liver metastases.

PURPOSE: We aimed to evaluate patterns of local tumor progression (LTP) after radiofrequency ablation (RF ablation) of colorectal cancer liver metastases (CRCLM) and to highlight the percentage of LTP not attributable to lesion size or RF ablation procedure-related factors (heat sink or insufficient ablation margin). METHODS: CRCLM treated by RF ablation at a single tertiary care center from 2004-2012, with a minimum of six months of postprocedure follow-up, were included in this retrospective study. LTP morphology was classified as focal nodular (<90° of ablation margin), circumferential (>270°), or crescentic (90°-270°). Initial metastasis size, minimum ablation margin size, morphology of LTP, presence of a heat sink, and time to progression were recorded independently by two radiologists. RESULTS: Thirty-two of 127 RF ablation treated metastases (25%) with a mean size of 23 mm (standard deviation 12 mm) exhibited LTP. Fifteen of 32 LTPs (47%) were classified as focal nodular, with seven having no procedure-related factor to explain recurrence. Ten of 32 LTPs (31%) were circumferential, with four having no procedure-related factor to explain recurrence. Seven of 32 LTPs (22%) were crescentic, with two having no procedure-related factor to explain recurrence. Of the 13 lesions without any obvious procedure-related reason for LTP, six (46%) were <3 cm in size. CONCLUSION: Although LTP in RF ablation treated CRCLM can often be explained by procedure-related factors or size of the lesion, in this study up to six (5%) of the CRCLM we treated showed LTP without any reasonable cause.