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Evaluation and Prognostication of Gd‐EOB‐DTPA MRI and CT in Patients With Macrotrabecular‐Massive Hepatocellular Carcinoma
Background Macrotrabecular‐massive hepatocellular carcinoma (MTM‐HCC) is highly aggressive. Comparing the diagnosis ability of CT and gadoxetate disodium (Gd‐EOB‐DTPA) MRI for MTM‐HCC are lacking. Purpose To compare the performance of Gd‐EOB‐DTPA MRI and CT for differentiating MTM‐HCC from non‐MTM‐H...
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Published in: | Journal of magnetic resonance imaging 2024-06, Vol.59 (6), p.2071-2081 |
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Main Authors: | , , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Background
Macrotrabecular‐massive hepatocellular carcinoma (MTM‐HCC) is highly aggressive. Comparing the diagnosis ability of CT and gadoxetate disodium (Gd‐EOB‐DTPA) MRI for MTM‐HCC are lacking.
Purpose
To compare the performance of Gd‐EOB‐DTPA MRI and CT for differentiating MTM‐HCC from non‐MTM‐HCC, and determine the prognostic indicator.
Study Type
Retrospective.
Subjects
Post‐surgery HCC patients, divided into the training (N = 272) and external validation (N = 44) cohorts.
Field Strength/Sequence
3.0 T, T1‐weighted imaging, in‐opp phase, and T1‐weighted volumetric interpolated breath‐hold examination/liver acquisition with volume acceleration; enhanced CT.
Assessment
Three radiologists evaluated clinical characteristics (sex, age, liver disease, liver function, blood routine, alpha‐fetoprotein [AFP] and prothrombin time international normalization ratio [PT‐INR]) and imaging features (tumor length, intratumor fat, hemorrhage, arterial phase peritumoral enhancement, intratumor necrosis or ischemia, capsule, and peritumoral hepatobiliary phase [HBP] hypointensity). Compared the performance of CT and MRI for diagnosing MTM‐HCC. Follow‐up occurred every 3–6 months, and nomogram demonstrated the probability of MTM‐HCC.
Statistical Tests
Fisher test, t‐test or Wilcoxon rank‐sum test, area under the curve (AUC), 95% confidence interval (CI), multivariable logistic regression, Kaplan–Meier curve, and Cox proportional hazards. Significance level: P |
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ISSN: | 1053-1807 1522-2586 1522-2586 |
DOI: | 10.1002/jmri.29052 |