4.6 Article

Predicting histologic differentiation of solitary hepatocellular carcinoma up to 5 cm on gadoxetate disodium-enhanced MRI

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INSIGHTS INTO IMAGING
卷 14, 期 1, 页码 -

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SPRINGER
DOI: 10.1186/s13244-022-01354-w

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Carcinoma (Hepatocellular); Histologic differentiation; Gadolinium ethoxybenzyl DTPA; Magnetic resonance imaging

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This study aimed to establish a preoperative score using gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI) and clinical indicators to predict histologic differentiation of solitary hepatocellular carcinoma (HCC) measuring up to 5 cm. The predictive score, incorporating two EOB-MRI features and serum alpha-fetoprotein (AFP) level, achieved high accuracy in predicting poorly differentiated (PD) HCC in the preoperative setting. The proposed score can be a useful tool for clinical decision-making.
Background To establish a preoperative score based on gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI) and clinical indicators for predicting histologic differentiation of solitary HCC up to 5 cm. Methods From July 2015 to January 2022, consecutive patients with surgically proven solitary HCC measuring <= 5 cm at preoperative EOB-MRI were retrospectively enrolled. All MR images were independently evaluated by two radiologists who were blinded to all clinical and pathologic information. Univariate and multivariate logistic regression analyses were performed to identify significant clinicoradiological features associated with poorly differentiated (PD) HCC, which were then incorporated into the predictive score. The predictive score was validated in an independent validation set by area under the receiver operating characteristic curve (AUC), sensitivity, specificity, and accuracy. Results A total of 182 patients were included, 42 (23%) with PD HCC. According to the multivariate analysis, marked hepatobiliary phase hypointensity (odds ratio [OR], 9.98), LR-M category (OR, 5.60), and serum alpha-fetoprotein (AFP) level > 400 ng/mL (OR, 3.58) were incorporated into the predictive model; the predictive score achieved an AUC of 0.802 and 0.830 on the training and validation sets, respectively. The sensitivity, specificity, and accuracy of the predictive score were 66.7%, 85.7%, and 81.3%, respectively, on the training set and 66.7%, 81.0%, and 77.8%, respectively, on the validation set. Conclusion The proposed score integrating two EOB-MRI features and AFP level can accurately predict PD HCC in the preoperative setting.

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