A predictive model integrating deep and radiomics features based on gadobenate dimeglumine-enhanced MRI for postoperative early recurrence of hepatocellular carcinoma

Purpose Hepatocellular carcinoma (HCC) is the most common liver cancer worldwide, and early recurrence of HCC after curative hepatic resection is indicative of poor prognoses. We aim to develop a predictive model for postoperative early recurrence of HCC based on deep and radiomics features from mul...

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Bibliographic Details
Published in:	Radiologia medica Vol. 127; no. 3; pp. 259 - 271
Main Authors:	Gao, Wenyu, Wang, Wentao, Song, Danjun, Yang, Chun, Zhu, Kai, Zeng, Mengsu, Rao, Sheng-xiang, Wang, Manning
Format:	Journal Article
Language:	English
Published:	Milan Springer Milan 01-03-2022 Springer Nature B.V
Subjects:	Abdominal Radiology Algorithms Carcinoma, Hepatocellular - diagnostic imaging Carcinoma, Hepatocellular - pathology Carcinoma, Hepatocellular - surgery Diagnostic Radiology Feature extraction Humans Imaging Interventional Radiology Liver cancer Liver Neoplasms - diagnostic imaging Liver Neoplasms - pathology Liver Neoplasms - surgery Machine learning Magnetic resonance imaging Magnetic Resonance Imaging - methods Medicine Medicine & Public Health Meglumine - analogs & derivatives Neuroradiology Organometallic Compounds Prediction models Radiology Radiomics Retrospective Studies Training Ultrasound Deep learning Reoccurrence Hepatocellular carcinoma Gadoxetic acid-enhanced MRI Radiomics
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