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For: Chapiro J, Duran R, Lin M, Schernthaner RE, Wang Z, Gorodetski B, Geschwind JF. Identifying Staging Markers for Hepatocellular Carcinoma before Transarterial Chemoembolization: Comparison of Three-dimensional Quantitative versus Non-three-dimensional Imaging Markers. Radiology 2015;275:438-47. [PMID: 25531387 DOI: 10.1148/radiol.14141180] [Cited by in Crossref: 26] [Cited by in F6Publishing: 25] [Article Influence: 3.3] [Reference Citation Analysis]
Number Citing Articles
1 Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Marshall K, Lin M, Gebauer B, Chapiro J, Salem R, Geschwind JF. Renal Cell Carcinoma Metastatic to the Liver: Early Response Assessment after Intraarterial Therapy Using 3D Quantitative Tumor Enhancement Analysis. Transl Oncol 2016;9:377-83. [PMID: 27641641 DOI: 10.1016/j.tranon.2016.07.005] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
2 van Breugel JMM, Geschwind JF, Mirpour S, Savic LJ, Zhang X, Duran R, Lin M, Miszczuk M, Liapi E, Chapiro J. Theranostic application of lipiodol for transarterial chemoembolization in a VX2 rabbit liver tumor model. Theranostics 2019;9:3674-86. [PMID: 31281506 DOI: 10.7150/thno.32943] [Cited by in Crossref: 10] [Cited by in F6Publishing: 9] [Article Influence: 3.3] [Reference Citation Analysis]
3 Letzen BS, Malpani R, Miszczuk M, de Ruiter QMB, Petty CW, Rexha I, Nezami N, Laage-Gaupp F, Lin M, Schlachter TR, Chapiro J. Lipiodol as an intra-procedural imaging biomarker for liver tumor response to transarterial chemoembolization: Post-hoc analysis of a prospective clinical trial. Clin Imaging 2021;78:194-200. [PMID: 34022765 DOI: 10.1016/j.clinimag.2021.05.007] [Reference Citation Analysis]
4 Vorontsov E, Tang A, Roy D, Pal CJ, Kadoury S. Metastatic liver tumour segmentation with a neural network-guided 3D deformable model. Med Biol Eng Comput 2017;55:127-39. [DOI: 10.1007/s11517-016-1495-8] [Cited by in Crossref: 13] [Cited by in F6Publishing: 10] [Article Influence: 2.2] [Reference Citation Analysis]
5 Fleckenstein FN, Schernthaner RE, Duran R, Sohn JH, Sahu S, Zhao Y, Hamm B, Gebauer B, Lin M, Geschwind JF, Chapiro J. 3D Quantitative tumour burden analysis in patients with hepatocellular carcinoma before TACE: comparing single-lesion vs. multi-lesion imaging biomarkers as predictors of patient survival. Eur Radiol 2016;26:3243-52. [PMID: 26762942 DOI: 10.1007/s00330-015-4168-3] [Cited by in Crossref: 15] [Cited by in F6Publishing: 15] [Article Influence: 2.5] [Reference Citation Analysis]
6 Zheng T, Jiang H, Wei Y, Huang Z, Chen J, Duan T, Song B. Imaging evaluation of sorafenib for treatment of advanced hepatocellular carcinoma. Chin J Cancer Res 2018;30:382-94. [PMID: 30046232 DOI: 10.21147/j.issn.1000-9604.2018.03.10] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 Najmi Varzaneh F, Pandey A, Aliyari Ghasabeh M, Shao N, Khoshpouri P, Pandey P, Zarghampour M, Fouladi D, Liddell R, Anders RA, Kamel IR. Prediction of post-TACE necrosis of hepatocellular carcinoma usingvolumetric enhancement on MRI and volumetric oil deposition on CT, with pathological correlation. Eur Radiol. 2018;28:3032-3040. [PMID: 29383518 DOI: 10.1007/s00330-017-5198-9] [Cited by in Crossref: 16] [Cited by in F6Publishing: 11] [Article Influence: 4.0] [Reference Citation Analysis]
8 Savic LJ, Chapiro J, Funai E, Bousabarah K, Schobert IT, Isufi E, Geschwind JH, Stark S, He P, Rudek MA, Perez Lozada JC, Ayyagari R, Pollak J, Schlachter T. Prospective study of Lipiodol distribution as an imaging marker for doxorubicin pharmacokinetics during conventional transarterial chemoembolization of liver malignancies. Eur Radiol 2021;31:3002-14. [PMID: 33063185 DOI: 10.1007/s00330-020-07380-w] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
9 Borde T, Nezami N, Gaupp FL, Savic LJ, Taddei T, Jaffe A, Strazzabosco M, Lin M, Duran R, Georgiades C, Hong K, Chapiro J. Optimization of the BCLC Staging System for Locoregional Therapy for Hepatocellular Carcinoma by Using Quantitative Tumor Burden Imaging Biomarkers at MRI. Radiology 2022;:212426. [PMID: 35412368 DOI: 10.1148/radiol.212426] [Reference Citation Analysis]
10 Shaghaghi M, AliyariG Hasabeh M, Ameli S, Ghadimi M, Hazhirkarzar B, Rezvani Habibabadi R, Tang H, Khoshpouri P, Wu Q, Pandey A, Pandey P, Baghdadi A, Kamel IR. Role of tumor margin and ADC change in defining the need for additional treatments after the first TACE in patients with unresectable HCC. Eur J Radiol 2020;133:109389. [PMID: 33166831 DOI: 10.1016/j.ejrad.2020.109389] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
11 Dageforde LA, Fowler KJ, Chapman WC. Liver transplantation for hepatocellular carcinoma: current update on treatment and allocation. Curr Opin Organ Transplant 2017;22:128-34. [PMID: 27926548 DOI: 10.1097/MOT.0000000000000385] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.4] [Reference Citation Analysis]
12 Tegel BR, Huber S, Savic LJ, Lin M, Gebauer B, Pollak J, Chapiro J. Quantification of contrast-uptake as imaging biomarker for disease progression of renal cell carcinoma after tumor ablation. Acta Radiol 2020;61:1708-16. [PMID: 32216452 DOI: 10.1177/0284185120909964] [Reference Citation Analysis]
13 Zhang F, Dvornek N, Yang J, Chapiro J, Duncan J. Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Trans Med Imaging 2020;39:3331-42. [PMID: 32356739 DOI: 10.1109/TMI.2020.2990625] [Reference Citation Analysis]
14 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]
15 Miszczuk MA, Chapiro J, Geschwind JH, Thakur V, Nezami N, Laage-Gaupp F, Kulon M, van Breugel JMM, Fereydooni A, Lin M, Savic LJ, Tegel B, Wahlin T, Funai E, Schlachter T. Lipiodol as an Imaging Biomarker of Tumor Response After Conventional Transarterial Chemoembolization: Prospective Clinical Validation in Patients with Primary and Secondary Liver Cancer. Transl Oncol 2020;13:100742. [PMID: 32092672 DOI: 10.1016/j.tranon.2020.01.003] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 3.5] [Reference Citation Analysis]
16 Liu C, Smolka S, Papademetris X, Minh DD, Gan G, Deng Y, Lin M, Chapiro J, Wang X, Georgiades C, Hong K. Predicting Infiltrative Hepatocellular Carcinoma Patient Outcome Post-TACE: MR Bias Field Correction Effect on 3D-quantitative Image Analysis. J Clin Transl Hepatol 2020;8:292-8. [PMID: 33083252 DOI: 10.14218/JCTH.2020.00054] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
17 Moawad AW, Fuentes D, Khalaf AM, Blair KJ, Szklaruk J, Qayyum A, Hazle JD, Elsayes KM. Feasibility of Automated Volumetric Assessment of Large Hepatocellular Carcinomas' Responses to Transarterial Chemoembolization. Front Oncol 2020;10:572. [PMID: 32457831 DOI: 10.3389/fonc.2020.00572] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
18 Lüdemann W, Kahn J, Pustelnik D, Hardt J, Böning G, Jonczyk M, Amthauer H, Gebauer B, Hamm B, Wieners G. Yttrium-90 radioembolization for unresectable hepatocellular carcinoma: predictive modeling strategies to anticipate tumor response and improve patient selection. Eur Radiol 2022. [PMID: 35230518 DOI: 10.1007/s00330-022-08585-x] [Reference Citation Analysis]
19 Chen T, Ning Z, Xu L, Feng X, Han S, Roth HR, Xiong W, Zhao X, Hu Y, Liu H, Yu J, Zhang Y, Li Y, Xu Y, Mori K, Li G. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively. Eur Radiol. 2019;29:1074-1082. [PMID: 30116959 DOI: 10.1007/s00330-018-5629-2] [Cited by in Crossref: 21] [Cited by in F6Publishing: 23] [Article Influence: 5.3] [Reference Citation Analysis]
20 Shao M, Niu Z, He L, Fang Z, He J, Xie Z, Cheng G, Wang J. Building Radiomics Models Based on Triple-Phase CT Images Combining Clinical Features for Discriminating the Risk Rating in Gastrointestinal Stromal Tumors. Front Oncol 2021;11:737302. [PMID: 34950578 DOI: 10.3389/fonc.2021.737302] [Reference Citation Analysis]
21 Pandey A, Pandey P, Ghasabeh MA, Zarghampour M, Khoshpouri P, Ameli S, Luo Y, Kamel IR. Baseline Volumetric Multiparametric MRI: Can It Be Used to Predict Survival in Patients with Unresectable Intrahepatic Cholangiocarcinoma Undergoing Transcatheter Arterial Chemoembolization? Radiology 2018;289:843-53. [DOI: 10.1148/radiol.2018180450] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.5] [Reference Citation Analysis]
22 Luedemann WM, Geisel D, Gebauer B, Schnapauff D, Chapiro J, Wieners G, Steffen I, Kahn J. Comparing HCC arterial tumour vascularisation on baseline imaging and after lipiodol cTACE: how do estimations of enhancing tumour volumes differ on contrast-enhanced MR and CT? Eur Radiol 2020;30:1601-8. [PMID: 31811428 DOI: 10.1007/s00330-019-06430-2] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
23 Doemel LA, Chapiro J, Laage Gaupp F, Savic LJ, Kucukkaya AS, Petukhova A, Tefera J, Zeevi T, Lin M, Schlachter T, Jaffe A, Strazzabosco M, Patel T, Stein SM. Reliable prediction of survival in advanced-stage hepatocellular carcinoma treated with sorafenib: comparing 1D and 3D quantitative tumor response criteria on MRI. Eur Radiol 2021;31:2737-46. [PMID: 33123796 DOI: 10.1007/s00330-020-07381-9] [Reference Citation Analysis]
24 Xiao X, Zhao J, Qiang Y, Chong J, Yang X, Kazihise NG, Chen B, Li S. Radiomics-guided GAN for Segmentation of Liver Tumor Without Contrast Agents. In: Shen D, Liu T, Peters TM, Staib LH, Essert C, Zhou S, Yap P, Khan A, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Cham: Springer International Publishing; 2019. pp. 237-45. [DOI: 10.1007/978-3-030-32245-8_27] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Article Influence: 1.3] [Reference Citation Analysis]
25 Lewis H, Ghasabeh M, Khoshpouri P, Kamel I, Pawlik T. Functional hepatic imaging as a biomarker of primary and secondary tumor response to loco-regional therapies. Surgical Oncology 2017;26:411-22. [DOI: 10.1016/j.suronc.2017.08.004] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
26 Reiner CS, Gordic S, Puippe G, Morsbach F, Wurnig M, Schaefer N, Veit-Haibach P, Pfammatter T, Alkadhi H. Histogram Analysis of CT Perfusion of Hepatocellular Carcinoma for Predicting Response to Transarterial Radioembolization: Value of Tumor Heterogeneity Assessment. Cardiovasc Intervent Radiol. 2016;39:400-408. [PMID: 26216725 DOI: 10.1007/s00270-015-1185-1] [Cited by in Crossref: 20] [Cited by in F6Publishing: 22] [Article Influence: 2.9] [Reference Citation Analysis]
27 Ghani MA, Fereydooni A, Chen E, Letzen B, Laage-Gaupp F, Nezami N, Deng Y, Gan G, Thakur V, Lin M, Papademetris X, Schernthaner RE, Huber S, Chapiro J, Hong K, Georgiades C. Identifying enhancement-based staging markers on baseline MRI in patients with colorectal cancer liver metastases undergoing intra-arterial tumor therapy. Eur Radiol 2021. [PMID: 34061209 DOI: 10.1007/s00330-021-08058-7] [Reference Citation Analysis]
28 Zhang D, Chen B, Chong J, Li S. Weakly-Supervised teacher-Student network for liver tumor segmentation from non-enhanced images. Med Image Anal 2021;70:102005. [PMID: 33676099 DOI: 10.1016/j.media.2021.102005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Cano-Espinosa C, Gonzalez G, Washko GR, Cazorla M, Estepar RSJ. Biomarker Localization From Deep Learning Regression Networks. IEEE Trans Med Imaging 2020;39:2121-32. [PMID: 31940523 DOI: 10.1109/TMI.2020.2965486] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]