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For: Song W, Yu X, Guo D, Liu H, Tang Z, Liu X, Zhou J, Zhang H, Liu Y. MRI-Based Radiomics: Associations With the Recurrence-Free Survival of Patients With Hepatocellular Carcinoma Treated With Conventional Transcatheter Arterial Chemoembolization.J Magn Reson Imaging. 2020;52:461-473. [PMID: 31675174 DOI: 10.1002/jmri.26977] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Guo Z, Zhong N, Xu X, Zhang Y, Luo X, Zhu H, Zhang X, Wu D, Qiu Y, Tu F. Prediction of Hepatocellular Carcinoma Response to Transcatheter Arterial Chemoembolization: A Real-World Study Based on Non-Contrast Computed Tomography Radiomics and General Image Features. J Hepatocell Carcinoma 2021;8:773-82. [PMID: 34277508 DOI: 10.2147/JHC.S316117] [Reference Citation Analysis]
2 Wang L, Ma X, Feng B, Wang S, Liang M, Li D, Wang S, Zhao X. Multi-Sequence MR-Based Radiomics Signature for Predicting Early Recurrence in Solitary Hepatocellular Carcinoma ≤5 cm. Front Oncol 2022;12:899404. [PMID: 35756618 DOI: 10.3389/fonc.2022.899404] [Reference Citation Analysis]
3 Cannella R, Cammà C, Matteini F, Celsa C, Giuffrida P, Enea M, Comelli A, Stefano A, Cammà C, Midiri M, Lagalla R, Brancatelli G, Vernuccio F. Radiomics Analysis on Gadoxetate Disodium-Enhanced MRI Predicts Response to Transarterial Embolization in Patients with HCC. Diagnostics 2022;12:1308. [DOI: 10.3390/diagnostics12061308] [Reference Citation Analysis]
4 Tipaldi MA, Ronconi E, Lucertini E, Krokidis M, Zerunian M, Polidori T, Begini P, Marignani M, Mazzuca F, Caruso D, Rossi M, Laghi A. Hepatocellular Carcinoma Drug-Eluting Bead Transarterial Chemoembolization (DEB-TACE): Outcome Analysis Using a Model Based On Pre-Treatment CT Texture Features. Diagnostics (Basel) 2021;11:956. [PMID: 34073545 DOI: 10.3390/diagnostics11060956] [Reference Citation Analysis]
5 Yao W, Yang S, Ge Y, Fan W, Xiang L, Wan Y, Gu K, Zhao Y, Zha R, Bu J. Computed Tomography Radiomics-Based Prediction of Microvascular Invasion in Hepatocellular Carcinoma. Front Med (Lausanne) 2022;9:819670. [PMID: 35402463 DOI: 10.3389/fmed.2022.819670] [Reference Citation Analysis]
6 Borhani AA, Catania R, Velichko YS, Hectors S, Taouli B, Lewis S. Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response. Abdom Radiol (NY) 2021;46:3674-85. [PMID: 33891149 DOI: 10.1007/s00261-021-03085-w] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 8.0] [Reference Citation Analysis]
7 Fang S, Lai L, Zhu J, Zheng L, Xu Y, Chen W, Wu F, Wu X, Chen M, Weng Q, Ji J, Zhao Z, Tu J. A Radiomics Signature-Based Nomogram to Predict the Progression-Free Survival of Patients With Hepatocellular Carcinoma After Transcatheter Arterial Chemoembolization Plus Radiofrequency Ablation. Front Mol Biosci 2021;8:662366. [PMID: 34532340 DOI: 10.3389/fmolb.2021.662366] [Reference Citation Analysis]
8 Kuang Y, Li R, Jia P, Ye W, Zhou R, Zhu R, Wang J, Lin S, Pang P, Ji W. MRI-Based Radiomics: Nomograms predicting the short-term response after transcatheter arterial chemoembolization (TACE) in hepatocellular carcinoma patients with diameter less than 5 cm. Abdom Radiol (NY) 2021;46:3772-89. [PMID: 33713159 DOI: 10.1007/s00261-021-02992-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
9 Maruyama H, Yamaguchi T, Nagamatsu H, Shiina S. AI-Based Radiological Imaging for HCC: Current Status and Future of Ultrasound. Diagnostics (Basel) 2021;11:292. [PMID: 33673229 DOI: 10.3390/diagnostics11020292] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
10 Huang H, Ruan SM, Xian MF, Li MD, Cheng MQ, Li W, Huang Y, Xie XY, Lu MD, Kuang M, Wang W, Hu HT, Chen LD. Contrast-enhanced ultrasound-based ultrasomics score: a potential biomarker for predicting early recurrence of hepatocellular carcinoma after resection or ablation. Br J Radiol 2021;:20210748. [PMID: 34797687 DOI: 10.1259/bjr.20210748] [Reference Citation Analysis]
11 Zhao Y, Wang N, Wu J, Zhang Q, Lin T, Yao Y, Chen Z, Wang M, Sheng L, Liu J, Song Q, Wang F, An X, Guo Y, Li X, Wu T, Liu AL. Radiomics Analysis Based on Contrast-Enhanced MRI for Prediction of Therapeutic Response to Transarterial Chemoembolization in Hepatocellular Carcinoma. Front Oncol. 2021;11:582788. [PMID: 33868988 DOI: 10.3389/fonc.2021.582788] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
12 Meng XP, Wang YC, Ju S, Lu CQ, Zhong BY, Ni CF, Zhang Q, Yu Q, Xu J, Ji J, Zhang XM, Tang TY, Yang G, Zhao Z. Radiomics Analysis on Multiphase Contrast-Enhanced CT: A Survival Prediction Tool in Patients With Hepatocellular Carcinoma Undergoing Transarterial Chemoembolization. Front Oncol 2020;10:1196. [PMID: 32850345 DOI: 10.3389/fonc.2020.01196] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 4.5] [Reference Citation Analysis]
13 . INTERVENTION – Risikostratifizierung nach TACE mit Radiomics-Nomogramm. Rofo 2022;194:825-825. [DOI: 10.1055/a-1312-1922] [Reference Citation Analysis]
14 Zhang H, Guo D, Liu H, He X, Qiao X, Liu X, Liu Y, Zhou J, Zhou Z, Liu X, Fang Z. MRI-Based Radiomics Models to Discriminate Hepatocellular Carcinoma and Non-Hepatocellular Carcinoma in LR-M According to LI-RADS Version 2018. Diagnostics 2022;12:1043. [DOI: 10.3390/diagnostics12051043] [Reference Citation Analysis]
15 Gong XQ, Tao YY, Wu YK, Liu N, Yu X, Wang R, Zheng J, Liu N, Huang XH, Li JD, Yang G, Wei XQ, Yang L, Zhang XM. Progress of MRI Radiomics in Hepatocellular Carcinoma. Front Oncol 2021;11:698373. [PMID: 34616673 DOI: 10.3389/fonc.2021.698373] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
16 Luo J, Huang Z, Wang M, Li T, Huang J. Prognostic role of multiparameter MRI and radiomics in progression of advanced unresectable hepatocellular carcinoma following combined transcatheter arterial chemoembolization and lenvatinib therapy. BMC Gastroenterol 2022;22:108. [PMID: 35260095 DOI: 10.1186/s12876-022-02129-9] [Reference Citation Analysis]
17 Kahraman AS. Editorial for “ MRI ‐based Radiomics: Potential Abilities for Individual Preoperative Predictions of the Recurrence‐Free Survival of Patients With Hepatocellular Carcinoma Treated With Conventional Transcatheter Arterial Chemoembolization”. J Magn Reson Imaging 2020;52:474-5. [DOI: 10.1002/jmri.27258] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
18 Zhao Y, Wu J, Zhang Q, Hua Z, Qi W, Wang N, Lin T, Sheng L, Cui D, Liu J, Song Q, Li X, Wu T, Guo Y, Cui J, Liu A. Radiomics Analysis Based on Multiparametric MRI for Predicting Early Recurrence in Hepatocellular Carcinoma After Partial Hepatectomy. J Magn Reson Imaging. 2020;. [PMID: 33217114 DOI: 10.1002/jmri.27424] [Cited by in Crossref: 3] [Cited by in F6Publishing: 7] [Article Influence: 1.5] [Reference Citation Analysis]
19 Feng B, Ma XH, Wang S, Cai W, Liu XB, Zhao XM. Application of artificial intelligence in preoperative imaging of hepatocellular carcinoma: Current status and future perspectives. World J Gastroenterol 2021; 27(32): 5341-5350 [PMID: 34539136 DOI: 10.3748/wjg.v27.i32.5341] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
20 Wei Y, Gong J, He X, Liu B, Liu T, Yang S, Zhou Z, Liang L, Zhan S, Xia Z, Duan G, Lin B, Han Q, Li S, Qin W, Pickhardt PJ, Deng D. An MRI-Based Radiomic Model for Individualized Prediction of Hepatocellular Carcinoma in Patients With Hepatitis B Virus-Related Cirrhosis. Front Oncol 2022;12:800787. [DOI: 10.3389/fonc.2022.800787] [Reference Citation Analysis]
21 Yan M, Wang W. A radiomics model of predicting tumor volume change of patients with stage III non-small cell lung cancer after radiotherapy. Sci Prog 2021;104:36850421997295. [PMID: 33687294 DOI: 10.1177/0036850421997295] [Reference Citation Analysis]
22 Chong H, Gong Y, Pan X, Liu A, Chen L, Yang C, Zeng M. Peritumoral Dilation Radiomics of Gadoxetate Disodium-Enhanced MRI Excellently Predicts Early Recurrence of Hepatocellular Carcinoma without Macrovascular Invasion After Hepatectomy. J Hepatocell Carcinoma 2021;8:545-63. [PMID: 34136422 DOI: 10.2147/JHC.S309570] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
23 Reginelli A, Nardone V, Giacobbe G, Belfiore MP, Grassi R, Schettino F, Del Canto M, Grassi R, Cappabianca S. Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review. Diagnostics (Basel) 2021;11:1796. [PMID: 34679494 DOI: 10.3390/diagnostics11101796] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
24 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] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
25 Wang L, Zhang L, Jiang B, Zhao K, Zhang Y, Xie X. Clinical application of deep learning and radiomics in hepatic disease imaging: a systematic scoping review. Br J Radiol 2022;95:20211136. [PMID: 35816550 DOI: 10.1259/bjr.20211136] [Reference Citation Analysis]
26 Sartoris R, Gregory J, Dioguardi Burgio M, Ronot M, Vilgrain V. HCC advances in diagnosis and prognosis: Digital and Imaging. Liver Int 2021;41 Suppl 1:73-7. [PMID: 34155790 DOI: 10.1111/liv.14865] [Reference Citation Analysis]
27 Masokano IB, Liu W, Xie S, Marcellin DFH, Pei Y, Li W. The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges. Cancer Imaging 2020;20:67. [PMID: 32962762 DOI: 10.1186/s40644-020-00341-y] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]