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Editorial
. 2024 Jan;59(1):120-121.
doi: 10.1002/jmri.28775. Epub 2023 May 11.

Editorial for "Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma"

Affiliations
Editorial

Editorial for "Deep Learning Radiomics Model of Dynamic Contrast-Enhanced MRI for Evaluating Vessels Encapsulating Tumor Clusters and Prognosis in Hepatocellular Carcinoma"

Victoria Chernyak. J Magn Reson Imaging. 2024 Jan.
No abstract available

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References

    1. Ding T, Xu J, Zhang Y, et al. Endothelium-coated tumor clusters are associated with poor prognosis and micrometastasis of hepatocellular carcinoma after resection. Cancer 2011;117(21):4878-4889.
    1. Lee S, Kim YY, Shin J, et al. Percentages of hepatocellular carcinoma in LI-RADS categories with CT and MRI: A systematic review and meta-analysis. Radiology 2023;307(1):e220646.
    1. Marrero JA, Kulik LM, Sirlin CB, et al. Diagnosis, staging, and management of hepatocellular carcinoma: 2018 practice guidance by the American Association for the Study of Liver Diseases. Hepatology 2018;68(2):723-750.
    1. Dong X, Yang J, Zhang B, et al. Deep learning radiomics model of dynamic contrast-enhanced MRI for evaluating vessels encapsulating tumor clusters and prognosis in hepatocellular carcinoma. J Magn Reson Imaging 2024;59(1):108-119.
    1. Fang JH, Xu L, Shang LR, et al. Vessels that encapsulate tumor clusters (VETC) pattern is a predictor of sorafenib benefit in patients with hepatocellular carcinoma. Hepatology 2019;70(3):824-839.

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