Imaging-guided prognostic score-based approach to assess the benefits of combotherapy versus monotherapy with immune checkpoint inhibitors in metastatic MSI-H colorectal cancer patients.

BACKGROUND: This retrospective study determined survival responses to immune checkpoint inhibitors (ICIs), comparing mono- (mono) and combo-immunotherapy (combo) in patients with microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC) by analyzing quantitative imaging data and clinical factors. METHODS: One hundred fifty patients were included from two centers and divided into training (n = 105) and validation (n = 45) cohorts. Radiologists manually annotated chest-abdomen-pelvis computed tomography and calculated tumor burden. Progression-free survival (PFS) was assessed, and variables were selected through Recursive Feature Elimination. Cutoff values were determined using maximally selected rank statistics to binarize features, forming a risk score with hazard ratio-derived weights. RESULTS: In total, 2258 lesions were annotated with excellent reproducibility. Key variables in the training cohort included: total tumor volume (cutoff: 73 cm3), lesion count (cutoff: 20), age (cutoff: 60) and the presence of peritoneal carcinomatosis. Their respective weights were 1.13, 0.96, 0.91, and 0.38, resulting in a risk score cutoff of 1.36. Low-score patients showed similar overall survival and PFS regardless of treatment, while those with a high-score had significantly worse survivals with mono vs combo (P = 0.004 and P = 0.0001). In the validation set, low-score patients exhibited no significant difference in overall survival and PFS with mono or combo. However, patients with a high-score had worse PFS with mono (P = 0.046). CONCLUSIONS: A score based on total tumor volume, lesion count, the presence of peritoneal carcinomatosis, and age can guide MSI-H mCRC treatment decisions, allowing oncologists to identify suitable candidates for mono and combo ICI therapies.

Screening HIV Patients at Risk for NAFLD Using MRI-PDFF and Transient Elastography: A European Multicenter Prospective Study.

BACKGROUND & AIMS: Nonalcoholic fatty liver disease (NAFLD) is a growing concern in the aging population with human immunodeficiency virus (HIV). Screening for NAFLD is recommended in patients with metabolic risk factors or unexplained transaminitis. This study aimed to prospectively assess the prevalence and associated factors of liver steatosis and advanced fibrosis (AF) in HIV-monoinfected patients at risk of NAFLD. METHODS: We conducted a multicenter study in HIV-monoinfected patients, nonexcessive drinkers with metabolic syndrome, and/or persistently elevated liver enzymes, and/or clinical lipodystrophy. All participants had magnetic resonance imaging proton density fat fraction (MRI-PDFF), Fibroscan/controlled attenuation parameter (CAP), and cytokine and genetic analysis. RESULTS: From March 2014 to November 2015, we enrolled 442 participants and analyzed 402: male (85%); median age, 55 years (interquartile range [IQR], 50-61 years); body mass index, 27.0 kg/m2 (IQR, 23.6-28.7 kg/m2); metabolic syndrome (67%); and CD4 cell count, 630/mm3 (IQR, 510-832/mm3). Overall 257 of 402 (64%) had NAFLD (MRI-PDFF ≥5%). Among them, 11.3% had a liver stiffness ≥9.6 kPa, suggestive of AF. Multivariable analysis identified 7 factors of steatosis: high CD4-cell count (odds ratio [OR], 4.04; 95% confidence interval [CI], 1.92-8.51), high leptin level (OR, 2.12; 95% CI, 1.14-3.93), non-CC PNPLA3s738409 genetic polymorphism (OR, 1.92; 95% CI, 1.11-3.33), low high-density lipoprotein (OR, 1.83; 95% CI, 1.03-3.27), high triglycerides (OR, 1.48; 95% CI, 1.18-1.84), elevated alanine transaminase (OR, 1.23; 95% CI, 1.16-1.31), and hyper ferritinemia (OR, 1.05; 95% CI, 1.03-1.07). Two factors were associated with AF: high body mass index (OR, 1.23 ; 95% CI, 1.07-1.42 ; P = .005, and elevated aspartate aminotransferase (OR, 1.03; 95% CI, 1.01-1.05; P = .001). Using MRI-PDFF as a reference, CAP (best cutoff, 280 dB/m) had good accuracy (area under the receiver operating characteristic curve = 0.86; 95% CI, 0.82-0.90) for the diagnosis of moderate to severe steatosis. CONCLUSIONS: In a large cohort of HIV-moninfected patients at risk of NAFLD, steatosis is present in two-thirds of cases, and around 10% have AF. The CAP technique is accurate for screening steatosis in this population.

From Dose Reduction to Contrast Maximization: Can Deep Learning Amplify the Impact of Contrast Media on Brain Magnetic Resonance Image Quality? A Reader Study.

OBJECTIVES: The aim of this study was to evaluate a deep learning method designed to increase the contrast-to-noise ratio in contrast-enhanced gradient echo T1-weighted brain magnetic resonance imaging (MRI) acquisitions. The processed images are quantitatively evaluated in terms of lesion detection performance. MATERIALS AND METHODS: A total of 250 multiparametric brain MRIs, acquired between November 2019 and March 2021 at Gustave Roussy Cancer Campus (Villejuif, France), were considered for inclusion in this retrospective monocentric study. Independent training (107 cases; age, 55 ± 14 years; 58 women) and test (79 cases; age, 59 ± 14 years; 41 women) samples were defined. Patients had glioma, brain metastasis, meningioma, or no enhancing lesion. Gradient echo and turbo spin echo with variable flip angles postcontrast T1 sequences were acquired in all cases. For the cases that formed the training sample, "low-dose" postcontrast gradient echo T1 images using 0.025 mmol/kg injections of contrast agent were also acquired. A deep neural network was trained to synthetically enhance the low-dose T1 acquisitions, taking standard-dose T1 MRI as reference. Once trained, the contrast enhancement network was used to process the test gradient echo T1 images. A read was then performed by 2 experienced neuroradiologists to evaluate the original and processed T1 MRI sequences in terms of contrast enhancement and lesion detection performance, taking the turbo spin echo sequences as reference. RESULTS: The processed images were superior to the original gradient echo and reference turbo spin echo T1 sequences in terms of contrast-to-noise ratio (44.5 vs 9.1 and 16.8; P < 0.001), lesion-to-brain ratio (1.66 vs 1.31 and 1.44; P < 0.001), and contrast enhancement percentage (112.4% vs 85.6% and 92.2%; P < 0.001) for cases with enhancing lesions. The overall image quality of processed T1 was preferred by both readers (graded 3.4/4 on average vs 2.7/4; P < 0.001). Finally, the proposed processing improved the average sensitivity of gradient echo T1 MRI from 88% to 96% for lesions larger than 10 mm ( P = 0.008), whereas no difference was found in terms of the false detection rate (0.02 per case in both cases; P > 0.99). The same effect was observed when considering all lesions larger than 5 mm: sensitivity increased from 70% to 85% ( P < 0.001), whereas false detection rates remained similar (0.04 vs 0.06 per case; P = 0.48). With all lesions included regardless of their size, sensitivities were 59% and 75% for original and processed T1 images, respectively ( P < 0.001), and the corresponding false detection rates were 0.05 and 0.14 per case, respectively ( P = 0.06). CONCLUSION: The proposed deep learning method successfully amplified the beneficial effects of contrast agent injection on gradient echo T1 image quality, contrast level, and lesion detection performance. In particular, the sensitivity of the MRI sequence was improved by up to 16%, whereas the false detection rate remained similar.

Evaluating the Impact of Peer Review on the Completeness of Reporting in Imaging Diagnostic Test Accuracy Research.

BACKGROUND: Despite the nearly ubiquitous reported use of peer review among reputable medical journals, there is limited evidence to support the use of peer review to improve the quality of biomedical research and in particular, imaging diagnostic test accuracy (DTA) research. PURPOSE: To evaluate whether peer review of DTA studies published by imaging journals is associated with changes in completeness of reporting, transparency for risk of bias assessment, and spin. STUDY TYPE: Retrospective cross-sectional study. STUDY SAMPLE: Cross-sectional study of articles published in Journal of Magnetic Resonance Imaging (JMRI), Canadian Association of Radiologists Journal (CARJ), and European Radiology (EuRad) before March 31, 2020. ASSESSMENT: Initial submitted and final versions of manuscripts were evaluated for completeness of reporting using the Standards for Reporting Diagnostic Accuracy Studies (STARD) 2015 and STARD for Abstracts guidelines, transparency of reporting for risk of bias assessment based on Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), and actual and potential spin using modified published criteria. STATISTICAL TESTS: Two-tailed paired t-tests and paired Wilcoxon signed-rank tests were used for comparisons. A P value <0.05 was considered to be statistically significant. RESULTS: We included 84 diagnostic accuracy studies accepted by three journals between 2014 and 2020 (JMRI = 30, CARJ = 23, and EuRad = 31) of the 692 which were screened. Completeness of reporting according to STARD 2015 increased significantly between initial submissions and final accepted versions (average reported items: 16.67 vs. 17.47, change of 0.80 [95% confidence interval 0.25-1.17]). No significant difference was found for the reporting of STARD for Abstracts (5.28 vs. 5.25, change of -0.03 [-0.15 to 0.11], P = 0.74), QUADAS-2 (6.08 vs. 6.11, change of 0.03 [-1.00 to 0.50], P = 0.92), actual "spin" (2.36 vs. 2.40, change of 0.04 [0.00 to 1.00], P = 0.39) or potential "spin" (2.93 vs. 2.81, change of -0.12 [-1.00 to 0.00], P = 0.23) practices. CONCLUSION: Peer review is associated with a marginal improvement in completeness of reporting in published imaging DTA studies, but not with improvement in transparency for risk of bias assessment or reduction in spin. LEVEL OF EVIDENCE: 3 TECHNICAL EFFICACY STAGE: 1.

Can Deep Learning Replace Gadolinium in Neuro-Oncology?: A Reader Study.

MATERIALS AND METHODS: This monocentric retrospective study leveraged 200 multiparametric brain MRIs acquired between November 2019 and February 2020 at Gustave Roussy Cancer Campus (Villejuif, France). A total of 145 patients were included: 107 formed the training sample (55 ± 14 years, 58 women) and 38 the separate test sample (62 ± 12 years, 22 women). Patients had glioma, brain metastases, meningioma, or no enhancing lesion. T1, T2-FLAIR, diffusion-weighted imaging, low-dose, and standard-dose postcontrast T1 sequences were acquired. A deep network was trained to process the precontrast and low-dose sequences to predict "virtual" surrogate images for contrast-enhanced T1. Once trained, the deep learning method was evaluated on the test sample. The discrepancies between the predicted virtual images and the standard-dose MRIs were qualitatively and quantitatively evaluated using both automated voxel-wise metrics and a reader study, where 2 radiologists graded image qualities and marked all visible enhancing lesions. RESULTS: The automated analysis of the test brain MRIs computed a structural similarity index of 87.1% ± 4.8% between the predicted virtual sequences and the reference contrast-enhanced T1 MRIs, a peak signal-to-noise ratio of 31.6 ± 2.0 dB, and an area under the curve of 96.4% ± 3.1%. At Youden's operating point, the voxel-wise sensitivity (SE) and specificity were 96.4% and 94.8%, respectively. The reader study found that virtual images were preferred to standard-dose MRI in terms of image quality (P = 0.008). A total of 91 reference lesions were identified in the 38 test T1 sequences enhanced with full dose of contrast agent. On average across readers, the brain lesion SE of the virtual images was 83% for lesions larger than 10 mm (n = 42), and the associated false detection rate was 0.08 lesion/patient. The corresponding positive predictive value of detected lesions was 92%, and the F1 score was 88%. Lesion detection performance, however, dropped when smaller lesions were included: average SE was 67% for lesions larger than 5 mm (n = 74), and 56% with all lesions included regardless of their size. The false detection rate remained below 0.50 lesion/patient in all cases, and the positive predictive value remained above 73%. The composite F1 score was 63% at worst. CONCLUSIONS: The proposed deep learning method for virtual contrast-enhanced T1 brain MRI prediction showed very high quantitative performance when evaluated with standard voxel-wise metrics. The reader study demonstrated that, for lesions larger than 10 mm, good detection performance could be maintained despite a 4-fold division in contrast agent usage, unveiling a promising avenue for reducing the gadolinium exposure of returning patients. Small lesions proved, however, difficult to handle for the deep network, showing that full-dose injections remain essential for accurate first-line diagnosis in neuro-oncology.

Letter to the Editor from Colle et al.

In their article, Fucà et al highlight that early tumor shrinkage and depth of response predict the prognosis of patients with metastatic colorectal cancer (mCRC) microsatellite instability (MSI-H)/deficient mismatch repair (dMMR) treated by immune checkpoint inhibitors (ICI). We are surprised that no cases of pseudoprogression (PSPD) were reported in their study. PSPDs were described under ICI in patients treated for MSI/dMMR mCRC. In a cohort of 123 patients treated with anti-PD1±antiCTL-4 for MSI/dMMR mCRC, we reported 12 patients with PSPD, representing 10% of the cohort. Of 12 patients with PSPD, 8 secondary achieved an objective response and were alive and free of progression at the data lock. Conversely, in Fucà's article, no PSDP was observed and the patients with primary radiological progression (21.7%) had a poor overall survival. These differences between the two series could be probably explained by the following points. First, Fucà et al use RECIST 1.1 criteria for radiological evaluation. Second, the first imaging was done after 8-9 weeks of treatment in Fucà's article, which may be late to detect PSPD. In conclusion, if the first evaluation is made during the first 3 months of treatment, using iRECIST criteria seems mandatory to avoid stopping treatment prematurely, especially in patients receiving anti-PD1 alone.

Why did European Radiology reject my radiomic biomarker paper? How to correctly evaluate imaging biomarkers in a clinical setting.

This review explains in simple terms, accessible to the non-statistician, general principles regarding the correct research methods to develop and then evaluate imaging biomarkers in a clinical setting, including radiomic biomarkers. The distinction between diagnostic and prognostic biomarkers is made and emphasis placed on the need to assess clinical utility within the context of a multivariable model. Such models should not be restricted to imaging biomarkers and must include relevant disease and patient characteristics likely to be clinically useful. Biomarker utility is based on whether its addition to the basic clinical model improves diagnosis or prediction. Approaches to both model development and evaluation are explained and the need for adequate amounts of representative data stressed so as to avoid underpowering and overfitting. Advice is provided regarding how to report the research correctly. KEY POINTS: • Imaging biomarker research is common but methodological errors are encountered frequently that may mean the research is not clinically useful. • The clinical utility of imaging biomarkers is best assessed by their additive effect on multivariable models based on clinical factors known to be important. • The data used to develop such models should be sufficient for the number of variables investigated and the model should be evaluated, preferably using data unrelated to development.

The Activity of Crizotinib in Chemo-Refractory MET-Amplified Esophageal and Gastric Adenocarcinomas: Results from the AcSé-Crizotinib Program.

BACKGROUND: The AcSé-crizotinib program provides extensive screening of crizotinib-targeted genomic alteration in several malignancies. We here report the results in patients with esogastric MET-amplified adenocarcinomas. OBJECTIVE: The objective of the study was to evaluate the efficacy and tolerability of crizotinib in patients with pretreated esogastric MET-amplified adenocarcinoma who have no alternative treatment options. PATIENTS AND METHODS: MET expression was evaluated by fluorescence in situ hybridization in tumor samples with immunohistochemistry scores ≥ 2+. Patients with chemo-refractory tumors showing ≥ 6 MET copies were eligible for crizotinib 250 mg twice daily. The primary efficacy outcome was the objective response rate after two cycles of crizotinib. RESULTS: MET was prospectively analyzed in 570 esogastric adenocarcinomas. Amplifications were found in 35/570 adenocarcinomas (29/523 gastric and 6/47 esophageal). Nine patients were treated with crizotinib. The objective response rate after two cycles was 33.3% (95% CI 7.5-70), the best overall response rate was 55.6% (95% CI 21.2-86.3), with median progression-free survival of 3.2 months (95% CI 1.0-5.4), and overall survival of 8.1 months (95% CI 1.7-24.6). Safety was consistent with that previously reported for crizotinib. CONCLUSIONS: Large-scale screening for MET-amplified esogastric adenocarcinomas is feasible. MET amplification was observed in 5.5% of gastric and 12.8% of esophageal adenocarcinomas. Crizotinib shows encouraging results in selected patients. Thus, c-MET inhibition for MET-amplified tumors deserves further evaluation. TRIAL REGISTRATION NUMBER: NCT02034981. DATE OF REGISTRATION: 14 January 2014.

Improved detection of subchondral erosions in the sacroiliac joints with T1-weighted fat-suppressed MRI.

OBJECTIVE: To compare the diagnostic performance of two different sets of magnetic resonance imaging (MRI) for the detection of subchondral erosions in the sacroiliac joints regarding the application of fat-water separation techniques when acquiring T1-weighted (T1w) images, using multi-detector computed tomography (MDCT) as the reference standard. METHODS: We retrospectively included 31 consecutive patients having or being suspected for axial spondyloarthritis (SpA) assessed using both MRI and MDCT. Three sets of images were independently assessed for the presence of erosions by two musculoskeletal radiologists (R1, R2): (1) MRI with standard T1w without fat suppression, (2) MRI with both T1w with and without fat suppression, and (3) MDCT. The diagnostic performance of both sets of MRIs was assessed using MDCT as the referent. RESULTS: The assessment of T1w images with fat suppression substantially increased sensitivity (76% vs. 63% R1; 70% vs. 60% R2), specificity (97% vs. 84% R1; 96% vs. 81% R2), positive predictive value (85% vs. 45% R1; 81% vs. 40% R2), and overall accuracy (94% vs. 80% R1; 92% vs. 77% R2) in the detection of erosions when compared to the assessment using T1w images without fat suppression. CONCLUSION: The assessment of T1w images with fat suppression substantially improves the diagnostic performance of MRI in the detection of erosions in the sacroiliac joints. KEY POINTS: • The presence of erosions in the sacroiliac joints may influence the decision on the diagnosis of axial spondyloarthritis. • T1w fat-suppressed MR imaging relatively increases the contrast between the joint space (high signal) and the adjacent subchondral bone (low signal), potentially improving the detection of erosions in the sacroiliac joints. • T1w fat-suppressed images improve the diagnostic performance of MRI in the detection of erosions in the sacroiliac joints compared to T1w without fat suppression, using MDCT as the reference.

Pseudoprogression in patients treated with immune checkpoint inhibitors for microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer.

BACKGROUND: The efficacy of immune checkpoint inhibitors (ICIs) in microsatellite instability-high/DNA mismatch repair (MSI/dMMR) metastatic colorectal cancer (mCRC) is well established. ICIs are responsible for pseudoprogression (PSPD) that complicates clinical decisions. We evaluated the PSPD frequency in patients with MSI/dMMR mCRC treated with ICIs. PATIENTS AND METHODS: Consecutive patients with MSI/dMMR mCRC treated with ICIs from February 2015 to December 2019 at Saint-Antoine Hospital were included. Imaging was retrospectively and centrally reviewed according to Response Evaluation Criteria in Solid Tumours, version 1.1 (RECIST 1.1) and immune RECIST (iRECIST). PSPD was defined as an unconfirmed disease progression by iRECIST. RESULTS: One hundred twenty-three patients with MSI/dMMR mCRC were included. Thirty-six patients (29%) had radiological PD according to RECIST 1.1 during the median follow-up of 22.3 months (95% confidence interval [CI], 1.5-62.2), including 22 in the first 3 months (the primary radiological PD). Twenty-nine patients continued ICIs beyond PD. Twelve patients experienced PSPD, representing 10% of the population and 52% of the primary radiological PD. The median time to PSPD was 5.7 weeks (95% CI, 4.1-11.4). No PSPD was observed after 3 months. The PSPD incidence was 14.8% in patients treated with anti-PD1 alone (n = 9/61) and 4.8% in case of anti-PD1 plus anti-CTLA-4 (n = 3/62). Eight patients with PSPD experienced an objective response. The 2-year progression-free survival and overall survival rates for patients with PSPD were 70.0% (95% CI, 32.9-89.2) and 75.0% (95% CI, 29.8-93.4), respectively. CONCLUSION: Patients with MSI/dMMR mCRC treated with ICIs experienced PSPDs. PSPD occurred within the first 3 months and represented most of the primary radiological PDs. The use of iRECIST criteria should be questioned after 3 months.

RECIST and iRECIST criteria for the evaluation of nivolumab plus ipilimumab in patients with microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer: the GERCOR NIPICOL phase II study.

BACKGROUND: Immune checkpoint inhibitors (ICIs) are highly effective in patients with microsatellite instability/mismatch repair-deficient (MSI/dMMR) metastatic colorectal cancer (mCRC). Response Evaluation Criteria in Solid Tumors (RECIST) 1.1 criteria may underestimate response to ICIs due to the pseudoprogression phenomenon. The GERCOR NIPICOL phase II study aimed to evaluate the frequency of pseudoprogressions in patients with MSI/dMMR mCRC treated with nivolumab and ipilimumab. METHODS: Patients with MSI/dMMR mCRC previously treated with fluoropyrimidines, oxaliplatin, and irinotecan with/without targeted therapies received nivolumab 3 mg/kg plus ipilimumab 1 mg/kg every 3 weeks for four cycles then nivolumab 3 mg/kg every 2 weeks until progression or a maximum of 20 cycles. Computed tomography scan tumor assessments were done every 6 weeks for 24 weeks and then every 12 weeks. The primary endpoint was disease control rate at 12 weeks according to RECIST 1.1 and iRECIST by central review. RESULTS: Of 57 patients included between December 2017 and November 2018, 48.0% received ≥3 prior lines of chemotherapy, 18.0% had BRAFV600E mutation, and 56.0% had Lynch syndrome-related cancer. Seven patients (12.0%) discontinued treatment due to adverse events; one died due to a treatment-related adverse event. The disease control rate (DCR) at 12 weeks was 86.0% with RECIST 1.1% and 87.7% with iRECIST. Two pseudoprogressions (3.5%) were observed, at week 6 and at week 36, representing 18% of patients with disease progression per RECIST 1.1 criteria. With a median follow-up of 18.4 months, median progression-free survival (PFS) and overall survival (OS) were not reached. The 12-month PFS rate was 72.9% with RECIST 1.1% and 76.5% with iRECIST. The 12-month OS rate was 84%. Overall response rate was 59.7% with both criteria. RAS/BRAF status, sidedness, Lynch syndrome, and other baseline parameters were not associated with PFS. CONCLUSION: Pseudoprogression is rare in patients with MSI/dMMR mCRC treated with nivolumab and ipilimumab. This combined ICI therapy confirms impressive DCR and survival outcomes in these patients. TRIAL REGISTRATION NUMBER: NCT03350126.

MDCT arthrography assessment of the severity of cartilage damage and scapholunate dissociation in regard to specific-component tears of the scapholunate interosseous ligament.

PURPOSE: To evaluate the distribution and severity of cartilage damage and scapholunate dissociation assessed on multi-detector computer tomography (MDCT) arthrography in a sample of patients with scapholunate interosseous ligament (SLIL) injury, in regard to component-specific tears. METHODS: We retrospectively included 37 patients with SLIL tears and 34 patients without SLIL tears who served as controls, all patients had undergone MDCT arthrography. Morphology of SLIL dorsal and volar components was graded as: normal, partial, or complete tear. Cartilage damage was assessed in 14 distinct regions of the wrist using a semiquantitative modified scoring system. Staging of scapholunate advanced collapse (SLAC) for each patient was based on the distribution of cartilage damage seen on MDCT arthrography. Scapholunate dissociation was measured for each patient at the tenth of a millimeter. The Student's t-test (p) and the Wilcoxon Rank-Sum test (P) were used to compare the different groups. RESULTS: The cartilage damage scores obtained were greater in patients with complete SLIL dorsal component tear than in other patients (p = 0.0019 and P = 0.0018). Scapholunate dissociation was greater in these patients (p = 0.0003 and P = 0.0013). Scapholunate dissociation was also greater in patients with SLAC wrist (p = 0.0004 and P = 0.0012), with a cut-off value of 3.7 mm for diagnosing SLAC (sensitivity 83.3 % and specificity 89.5 %). CONCLUSION: MDCT arthrography assessment shows that the severity of cartilage damage and scapholunate dissociation is greater when the dorsal component of the SLIL is completely ruptured.

Closing the gender gap in academic radiology: reasons for hope?

This Editorial Comment refers to the article by Bernard C. et al, Gender gap in articles published in European Radiology and CardioVascular and Interventional Radiology: evolution between 2002 and 2016, European Radiology, doi: 10.1007/s00330-019-06390-7.

Diagnostic Accuracy of Noninvasive Markers of Steatosis, NASH, and Liver Fibrosis in HIV-Monoinfected Individuals at Risk of Nonalcoholic Fatty Liver Disease (NAFLD): Results From the ECHAM Study.

BACKGROUND: HIV-monoinfected individuals are at high risk of nonalcoholic fatty liver disease. Noninvasive tests of steatosis, nonalcoholic steatohepatitis (NASH), and fibrosis have been poorly assessed in this population. Using liver biopsy (LB) as a reference, we assessed the accuracy of noninvasive methods for their respective diagnosis: magnetic resonance imaging proton-density-fat-fraction (MRI-PDFF), FibroScan/controlled attenuation parameter (CAP), and biochemical tests. METHODS: We enrolled antiretroviral therapy-controlled participants with persistently elevated transaminases and/or metabolic syndrome, and/or lipodystrophy. All had hepatic MRI-PDFF, FibroScan/CAP, FibroTest/NashTest/SteatoTest, APRI, FIB-4, and nonalcoholic fatty liver disease-fibrosis score. A LB was indicated if suspected significant fibrosis (FibroScan ≥7.1 kPa and/or FibroTest ≥0.49). Performance was considered as good if area under a receiver operating characteristic curves (AUROCs) was >0.80. RESULTS: Among the 140 patients with suspected significant fibrosis out of the 402 eligible patients, 49 had had a LB: median age of 54 years (53-65), body mass index: 26 kg/m (24-30), steatosis in 37 (76%), NASH in 23 (47%), and fibrosis in 31 (63%) patients [F2: 7 (14%); F3: 6 (12%); and F4: 2 (4%)]. Regarding steatosis, MRI-PDFF had excellent and CAP good performances with AUROCs at 0.98 (95% confidence interval: 0.96 to 1.00) and 0.88 (0.76 to 0.99), respectively, whereas the AUROCs of SteatoTest was 0.68 (0.51 to 0.85). Regarding fibrosis (≥F2), APRI and FIB-4 had good performance with AUROCs at 0.86 (0.74 to 0.98) and 0.81 (0.67 to 0.95). By contrast, FibroScan and FibroTest had poor AUROCs [0.61 (0.43 to 0.79) and 0.61 (0.44 to 0.78)], with very low specificity. Regarding NASH, alanine aminotransferase ≥36 IU/L had good performance with AUROCs of 0.83 (0.71 to 0.94), whereas the NashTest had an AUROC of 0.60 (0.44 to 0.76). CONCLUSIONS: In HIV-monoinfected patients, MRI-PDFF and FibroScan/CAP are highly accurate for the diagnosis of steatosis. The alanine aminotransferase level and APRI should be considered for the detection of NASH and fibrosis.

Entropía, lengua vernácula y vehicular / Entropic, vernacular and vehicular

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MDCT arthrography assessment of scaphoid nonunion advanced collapse: distribution of cartilage damage and relationship with scaphoid nonunion features.

OBJECTIVES: Our primary aim was to evaluate the distribution and severity of cartilage damage in a sample of patients with scaphoid nonunion advanced collapse (SNAC), assessed on MDCT arthrography, with regard to two well-known SNAC staging systems. Secondarily, we wanted to see if the degree of cartilage damage varied with the location of the nonunion. METHODS: We retrospectively included 35 patients with a history of SNAC who had undergone MDCT arthrography. The location of the fracture was defined as the proximal, middle, or distal third of the scaphoid. Cartilage damage was assessed in 14 distinct regions of the wrist using a modified Whole-Organ Magnetic Resonance Imaging Score (WORMS) system. Staging of SNAC for each patient was based on the distribution of cartilage damage seen on MDCT arthrography. The one-way ANOVA test was used to evaluate whether global cartilage damage scores differed between patients with proximal vs middle and distal nonunion. RESULTS: The radial styloid-scaphoid (85.7%), the scaphoid-trapezium-trapezoid (60%), the scapho-capitate (57.1%), and the proximal radio-scaphoid joints (42.9%) were most commonly affected by degenerative cartilage damage. A substantial number of patients could not be classified according to the two SNAC staging systems. Patients with proximal nonunion exhibited a higher mean score of global cartilage damage than patients with middle or distal nonunion: 14.3 ± 9.5 (95% CI 9.8, 18.7) vs 8.6 ± 6.9 (95% CI 4.7, 12.4); p < 0.0001. CONCLUSION: The distribution of cartilage damage does not always follow the pattern of progressive osteoarthritis widely described in SNAC. Proximal scaphoid nonunion is related to greater severity of global cartilage damage.