| For: | Yao S, Ye Z, Wei Y, Jiang HY, Song B. Radiomics in hepatocellular carcinoma: A state-of-the-art review. World J Gastrointest Oncol 2021; 13(11): 1599-1615 [PMID: 34853638 DOI: 10.4251/wjgo.v13.i11.1599] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v13/i11/1599.htm |
| Number | Citing Articles |
| 1 |
Yutaka Endo, Laura Alaimo, Giovanni Catalano, Odysseas P. Chatzipanagiotou, Timothy M. Pawlik. Application of artificial intelligence to hepatobiliary cancer clinical outcomes research. Artificial Intelligence Surgery 2024; 4(2) doi: 10.20517/ais.2024.09
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| 2 |
Dong Li, Haoyu Wang, Fei Gao, Xifeng Fu, Junfeng Han. Artificial intelligence for enhancing decision-making in multidisciplinary tumor boards for HCC in China. Hepatoma Research 2025; doi: 10.20517/2394-5079.2025.67
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| 3 |
桂鹏 孙. Recent Advances in Multimodal Medical Imaging Fusion Strategies for Precision Diagnosis and Prognostic Prediction of Hepatocellular Carcinoma. Advances in Clinical Medicine 2025; 15(12) doi: 10.12677/acm.2025.15123694
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| 4 |
Mina S Makary, Arpit M Nagar, Cody Criss. Hepatocellular carcinoma: State of the art diagnostic imaging. World Journal of Radiology 2023; 15(3): 56-68 doi: 10.4329/wjr.v15.i3.56
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| 5 |
Machine Learning Based Diagnostic Paradigm in Viral and Non-Viral Hepatocellular Carcinoma. IEEE Access 2024; 12 doi: 10.1109/ACCESS.2024.3369491
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| 6 |
Giulia Grazzini, Giuditta Chiti, Giulia Zantonelli, Benedetta Matteuzzi, Silvia Pradella, Vittorio Miele. Imaging in Hepatocellular Carcinoma: What's New?. Seminars in Ultrasound, CT and MRI 2023; 44(3) doi: 10.1053/j.sult.2023.03.002
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| 7 |
Nana Peng, Sherlot J. Song, Vicki Wing-Ki Hui, Jimmy Che-To Lai, Grace Lai-Hung Wong, Vincent Wai-Sun Wong, Terry Cheuk-Fung Yip. Foundations of Artificial Intelligence in Hepatology: What a Clinician Needs to Know?. Journal of Clinical and Experimental Hepatology 2026; 16(1) doi: 10.1016/j.jceh.2025.103183
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| 8 |
Na-Ning Kan, Chun-Yen Yu, Yu-Fan Cheng, Chien-Chin Hsu, Chao-Long Chen, Hsien-Wen Hsu, Ching-Chun Weng, Leo Leung-Chit Tsang, Yi-Hsuan Chuang, Po-Hsun Huang, Wei-Xiong Lim, Chen-Pei Chen, Chien-Chang Liao, Hsin-You Ou. Combined Hounsfield units of hepatocellular carcinoma on computed tomography and PET as a noninvasive predictor of early recurrence after living donor liver transplantation: Time-to-recurrence survival analysis. European Journal of Radiology 2024; 177 doi: 10.1016/j.ejrad.2024.111551
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| 9 |
Evangelos Chartampilas, Vasileios Rafailidis, Vivian Georgopoulou, Georgios Kalarakis, Adam Hatzidakis, Panos Prassopoulos. Current Imaging Diagnosis of Hepatocellular Carcinoma. Cancers 2022; 14(16) doi: 10.3390/cancers14163997
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| 10 |
E. P. Perrone, P. Lucatelli, B. Rocco, P. Ferrari, I. Spinelli, M. Forlino, M. Mazzotta, A. De Santis. Radiomic analysis of pretreatment imaging in hepatocellular carcinoma (HCC) undergoing transarterial chemoembolization (TACE): treatment response and survival. Endoscopy 2023; 55(S 02) doi: 10.1055/s-0043-1765439
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| 11 |
Salvatore Claudio Fanni, Gabriele Di Maria, Gayane Aghakhanyan, Lorenzo Braccischi, Ciro Celsa, Roberto Cannella, Giuseppe Cabibbo, Marco Enea, Roberto Francischello, Gianluca Masi, Domenica Matranga, Mariarosaria Marseglia, Cristina Mosconi, Anna Pecorelli, Francesca Salani, Bernardo Stefanini, Caterina Vivaldi, Calogero Cammà, Fabio Piscaglia, Riccardo Lencioni, Dania Cioni. Reproducibility of segmentation and radiomic features in contrast-enhanced CT images of early, intermediate and advanced HCC patients: a multicenter study. European Journal of Radiology 2026; 201 doi: 10.1016/j.ejrad.2026.112889
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| 12 |
Cagatay Neftali Tulu, Turgay Ibrikci. The potential of radiomics features in the detection of hepatocellular carcinoma (HCC) in 2D liver MRI images by using machine learning methods. Signal, Image and Video Processing 2025; 19(7) doi: 10.1007/s11760-025-04162-z
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| 13 |
Dalia Fahmy, Ahmed Alksas, Ahmed Elnakib, Ali Mahmoud, Heba Kandil, Ashraf Khalil, Mohammed Ghazal, Eric van Bogaert, Sohail Contractor, Ayman El-Baz. The Role of Radiomics and AI Technologies in the Segmentation, Detection, and Management of Hepatocellular Carcinoma. Cancers 2022; 14(24) doi: 10.3390/cancers14246123
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| 14 |
Yu-Bo Zhang, Zhi-Qiang Chen, Yang Bu, Peng Lei, Wei Yang, Wei Zhang. Construction of a 2.5D Deep Learning Model for Predicting Early Postoperative Recurrence of Hepatocellular Carcinoma Using Multi-View and Multi-Phase CT Images. Journal of Hepatocellular Carcinoma 2024; doi: 10.2147/JHC.S493478
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| 15 |
Natalia Salinas Parra, Heather M. Ross, Adnan Khan, Marisa Wu, Risa Goldberg, Lokesh Shah, Sarah Mukhtar, Jacob Beiriger, Alexis Gerber, Dina Halegoua-DeMarzio. Advancements in the Diagnosis of Hepatocellular Carcinoma. International Journal of Translational Medicine 2023; 3(1) doi: 10.3390/ijtm3010005
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| 16 |
Xianyu Chen, Yongsheng Tang, Donghao Wu, Ruixi Li, Zhiqun Lin, Xuhui Zhou, Hezhen Wang, Hang Zhai, Junming Xu, Xianjie Shi, Guangquan Zhang. From imaging to clinical outcome: dual-region CT radiomics predicting FOXM1 expression and prognosis in hepatocellular carcinoma. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1278467
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| 17 |
Gianvito Candita, Sara Rossi, Karolina Cwiklinska, Salvatore Claudio Fanni, Dania Cioni, Riccardo Lencioni, Emanuele Neri. Imaging Diagnosis of Hepatocellular Carcinoma: A State-of-the-Art Review. Diagnostics 2023; 13(4) doi: 10.3390/diagnostics13040625
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| 18 |
Patrick Jeltsch, Killian Monnin, Mario Jreige, Lucia Fernandes-Mendes, Raphaël Girardet, Clarisse Dromain, Jonas Richiardi, Naik Vietti-Violi. Magnetic Resonance Imaging Liver Segmentation Protocol Enables More Consistent and Robust Annotations, Paving the Way for Advanced Computer-Assisted Analysis. Diagnostics 2024; 14(24) doi: 10.3390/diagnostics14242785
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| 19 |
You-Chang Yang, Xiao-Yu Wei, Xiao-Qiang Tang, Ruo-Han Yin, Ming Zhang, Shao-Feng Duan, Chang-Jie Pan. Exploring value of CT coronary imaging combined with machine-learning methods to predict myocardial ischemia. Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 2022; 30(4) doi: 10.3233/XST-221160
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| 20 |
Ayoob Dinar Abdullah, Behzad Amanpour-Gharaei, Mohssen Nassiri Toosi, Sina Delazar, Hamidraza Saligheh Rad, Arvin Arian. Comparing Texture Analysis of Apparent Diffusion Coefficient MRI in Hepatocellular Adenoma and Hepatocellular Carcinoma. Cureus 2024; doi: 10.7759/cureus.51443
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| 21 |
Khyati Sethia, Petr Strakos, Milan Jaros, Jan Kubicek, Jan Roman, Marek Penhaker, Lubomir Riha. Advances in liver, liver lesion, hepatic vasculature, and biliary segmentation: a comprehensive review of traditional and deep learning approaches. Artificial Intelligence Review 2025; 58(10) doi: 10.1007/s10462-025-11310-x
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| 22 |
George Cholankeril, Hashem B. El-Serag. Current Challenges and Future Direction in Surveillance for Hepatocellular Carcinoma in Patients with Nonalcoholic Fatty Liver Disease. Seminars in Liver Disease 2023; 43(01) doi: 10.1055/a-1957-8540
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| 23 |
Kirolos Eskandar. Artificial intelligence in hepatology: A comprehensive scoping review of clinical applications, challenges, and future directions. iLIVER 2025; 4(4) doi: 10.1016/j.iliver.2025.100205
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| 24 |
Sara Viganò, Pietro Andrea Bonaffini, Elisabetta De Bernardi, Andrea Corsi, Claudio Bandini, Eleonora Piccin, Clarissa Valle, Paolo Marra, Domenico Pinelli, Sandro Sironi. Radiomic analysis of contrast-enhanced CT for the prediction of microvascular invasion in hepatocellular carcinoma: literature analysis and practical challenges. BJR|Open 2026; 8(1) doi: 10.1093/bjro/tzaf032
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| 25 |
Meilong Wu, Zhiyong Du, Ying Xiao, Yan Wang, Jintao Yang, Zhike Li, Xini Liu, Shizhong Yang, Tailai An. CT-Based Radiomics for Non-Invasive Prediction of Ki-67 Expression in Hepatocellular Carcinoma. Journal of Hepatocellular Carcinoma 2026; doi: 10.2147/JHC.S552997
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| 26 |
Antonella Cammarota, Valentina Zanuso, Tiziana Pressiani, Nicola Personeni, Lorenza Rimassa. Assessment and Monitoring of Response to Systemic Treatment in Advanced Hepatocellular Carcinoma: Current Insights. Journal of Hepatocellular Carcinoma 2022; doi: 10.2147/JHC.S268293
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| 27 |
Krzysztof Bartnik, Mateusz Krzyziński, Tomasz Bartczak, Krzysztof Korzeniowski, Krzysztof Lamparski, Tadeusz Wróblewski, Michał Grąt, Wacław Hołówko, Katarzyna Mech, Joanna Lisowska, Magdalena Januszewicz, Przemysław Biecek. A novel radiomics approach for predicting TACE outcomes in hepatocellular carcinoma patients using deep learning for multi-organ segmentation. Scientific Reports 2024; 14(1) doi: 10.1038/s41598-024-65630-z
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| 28 |
Mahip Grewal, Taha Ahmed, Ammar Asrar Javed. Current state of radiomics in hepatobiliary and pancreatic malignancies. Artificial Intelligence Surgery 2023; 3(4) doi: 10.20517/ais.2023.28
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| 29 |
Lorenza Rimassa, Richard S. Finn, Bruno Sangro. Combination immunotherapy for hepatocellular carcinoma. Journal of Hepatology 2023; 79(2) doi: 10.1016/j.jhep.2023.03.003
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| 30 |
Anupama Jamwal, Shruti Jain. Radiomics-Based Classification of Hepatocellular Carcinoma Using an Empirical Curvelet–Ridgelet–Wavelet Transform Approach. 2026 International Conference on Intelligent Computing and Automation for Sustainable Solutions (ICASS) 2026; doi: 10.1109/ICASS69550.2026.11547445
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| 31 |
Benjamin M. Mervak, Jessica G. Fried, Ashish P. Wasnik. A Review of the Clinical Applications of Artificial Intelligence in Abdominal Imaging. Diagnostics 2023; 13(18) doi: 10.3390/diagnostics13182889
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| 32 |
Bellary Chiterki Anil, Jayasimha Sondekoppa Rajkumar, T. L. Divya, Samitha Khaiyum, Rakshitha Kiran P., Balakrishnan Ramadoss. A Radiomics-based Framework for Liver Cancer Analysis using Explainable Artificial Intelligence (XAI) Methods. Engineering, Technology & Applied Science Research 2025; 15(3) doi: 10.48084/etasr.10377
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| 33 |
Yu Rim Lee. A multidisciplinary approach with immunotherapies for advanced hepatocellular carcinoma. Journal of Liver Cancer 2023; 23(2) doi: 10.17998/jlc.2023.09.04
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