Machine Learning-Based CEMRI Radiomics Integrating LI-RADS Features Achieves Optimal Evaluation of Hepatocellular Carcinoma Differentiation

References

• Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–249. doi:10.3322/caac.21660
   PubMed Web of Science ®Google Scholar
• Forner A, Reig M, Bruix J. Hepatocellular carcinoma. Lancet Lond Engl. 2018;391(10127):1301–1314. doi:10.1016/S0140-6736(18)30010-2
   PubMed Web of Science ®Google Scholar
• Shinkawa H, Tanaka S, Kabata D, et al. The prognostic impact of tumor differentiation on recurrence and survival after resection of hepatocellular carcinoma is dependent on tumor size. Liver Cancer. 2021;10(5):461–472. doi:10.1159/000517992
   PubMed Web of Science ®Google Scholar
• Zhou L, Rui JA, Zhou WX, et al. Edmondson-Steiner grade: a crucial predictor of recurrence and survival in hepatocellular carcinoma without microvascular invasio. Pathol Res Pract. 2017;213(7):824–830. doi:10.1016/j.prp.2017.03.002
   PubMed Web of Science ®Google Scholar
• Kleiner DE. Hepatocellular carcinoma: liver biopsy in the balance. Hepatology. 2018;68(1):13–15. doi:10.1002/hep.29831
   PubMed Web of Science ®Google Scholar
• Gong XQ, Tao YY, Wu Y, et al. Progress of MRI radiomics in hepatocellular carcinoma. Front Oncol. 2021;11:698373. doi:10.3389/fonc.2021.698373
   PubMedGoogle Scholar
• Vietti Violi N, Lewis S, Liao J, et al. Gadoxetate-enhanced abbreviated MRI is highly accurate for hepatocellular carcinoma screening. Eur Radiol. 2020;30(11):6003–6013. doi:10.1007/s00330-020-07014-1
   PubMed Web of Science ®Google Scholar
• Kong C, Zhao Z, Chen W, et al. Prediction of tumor response via a pretreatment MRI radiomics-based nomogram in HCC treated with TACE. Eur Radiol. 2021;31(10):7500–7511. doi:10.1007/s00330-021-07910-0
   PubMed Web of Science ®Google Scholar
• Swanson K, Wu E, Zhang A, et al. From patterns to patients: advances in clinical machine learning for cancer diagnosis, prognosis, and treatment. Cell. 2023;186(8):1772–1791. doi:10.1016/j.cell.2023.01.035
   PubMed Web of Science ®Google Scholar
• Moura Cunha G, Chernyak V, Fowler KJ, et al. Up-to-date role of CT/MRI LI-RADS in hepatocellular carcinoma. J Hepatocell Carcinoma. 2021;8:513–527. doi:10.2147/JHC.S268288
   PubMed Web of Science ®Google Scholar
• Loy LM, Low HM, Choi JY, et al. Variant hepatocellular carcinoma subtypes according to the 2019 WHO classification: an imaging-focused review. Am J Roentgenol. 2022;219(2):212–223. doi:10.2214/AJR.21.26982
   PubMed Web of Science ®Google Scholar
• Li H, Wu Z, Chen J, et al. External radiotherapy combined with sorafenib has better efficiency in unresectable hepatocellular carcinoma: a systematic review and meta-analysis. Clin Exp Med. 2023;23(5):1537–1549. doi:10.1007/s10238-022-00972-4
   PubMed Web of Science ®Google Scholar
• Su K, Shen Q, Tong J, et al. Construction and validation of a nomogram for HBV-related hepatocellular carcinoma: a large, multicenter study. Ann Hepatol. 2023;28(4):101109. doi:10.1016/j.aohep.2023.101109
   PubMed Web of Science ®Google Scholar
• Su K, Huang W, Xu K, et al. Evaluation of lactate dehydrogenase and alkaline phosphatase as predictive biomarkers in the prognosis of hepatocellular carcinoma and development of a new nomogram. J Hepatocell Carcinoma. 2023;10:69–79. doi:10.2147/JHC.S398632
   PubMed Web of Science ®Google Scholar
• Li H, Su K, Jiang Y, et al. Construction and validation of TACE therapeutic efficacy by ALR score and nomogram: a large, multicenter study. J Hepatocell Carcinoma. 2023;10:1009–1017. doi:10.2147/JHC.S414926
   PubMed Web of Science ®Google Scholar
• Castaldo A, De Lucia DR, Pontillo G, et al. State of the art in artificial intelligence and radiomics in hepatocellular carcinoma. Diagnostics. 2021;11(7):1194. doi:10.3390/diagnostics11071194
   Web of Science ®Google Scholar
• Han YE, Cho Y, Kim MJ, et al. Hepatocellular carcinoma pathologic grade prediction using radiomics and machine learning models of gadoxetic acid-enhanced MRI: a two-center study. Abdom Radiol. 2022;48(1):244–256. doi:10.1007/s00261-022-03679-y
   PubMed Web of Science ®Google Scholar
• Ameli S, Venkatesh BA, Shaghaghi M, et al. Role of MRI-derived radiomics features in determining degree of tumor differentiation of hepatocellular carcinoma. Diagnostics. 2022;12(10):2386. doi:10.3390/diagnostics12102386
   Web of Science ®Google Scholar
• Mao Y, Wang J, Zhu Y, et al. Gd-EOB-DTPA-enhanced MRI radiomic features for predicting histological grade of hepatocellular carcinoma. Hepatobiliary Surg Nutr. 2022;11(1):13–24. doi:10.21037/hbsn-19-870
   PubMed Web of Science ®Google Scholar
• Brancato V, Garbino N, Salvatore M, et al. MRI-based radiomic features help identify lesions and predict histopathological grade of hepatocellular carcinoma. Diagnostics. 2022;12(5):1085. doi:10.3390/diagnostics12051085
   Web of Science ®Google Scholar
• Yang X, Yuan C, Zhang Y, et al. Magnetic resonance radiomics signatures for predicting poorly differentiated hepatocellular carcinoma: a SQUIRE-compliant study. Medicine. 2021;100:19..
   Web of Science ®Google Scholar
• Usta S, Kayaalp C. Tumor diameter for hepatocellular carcinoma: why should size matter? J Gastrointest Cancer. 2020;51(4):1114–1117. doi:10.1007/s12029-020-00483-z
   PubMed Web of Science ®Google Scholar
• Huang K, Dong Z, Cai H, et al. Imaging biomarkers for well and moderate hepatocellular carcinoma: preoperative magnetic resonance image and histopathological correlation. BMC Cancer. 2019;19(1):364. doi:10.1186/s12885-019-5574-8
   PubMedGoogle Scholar
• Kovac JD, Ivanovic A, Milovanovic T, et al. An overview of hepatocellular carcinoma with atypical enhancement pattern: spectrum of magnetic resonance imaging findings with pathologic correlation. Radiol Oncol. 2021;55(2):130–143. doi:10.2478/raon-2021-0004
   PubMed Web of Science ®Google Scholar
• Liu HF, Zhang YZZ, Wang Q, et al. A nomogram model integrating LI-RADS features and radiomics based on contrast-enhanced magnetic resonance imaging for predicting microvascular invasion in hepatocellular carcinoma falling the Milan criteria. Transl Oncol. 2023;27:101597. doi:10.1016/j.tranon.2022.101597
   PubMed Web of Science ®Google Scholar
• Xu L, Li L, Wang P, et al. Novel prognostic nomograms for hepatocellular carcinoma patients with microvascular invasion: experience from a single center. Gut Liver. 2019;13(6):669–682. doi:10.5009/gnl18489
   PubMed Web of Science ®Google Scholar