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Cited by in F6Publishing
For: Chockalingam A, Duran R, Sohn JH, Schernthaner R, Chapiro J, Lee H, Sahu S, Nguyen S, Geschwind JF, Lin M. Radiologic-pathologic analysis of quantitative 3D tumour enhancement on contrast-enhanced MR imaging: a study of ROI placement. Eur Radiol 2016;26:103-13. [PMID: 25994198 DOI: 10.1007/s00330-015-3812-2] [Cited by in Crossref: 19] [Cited by in F6Publishing: 20] [Article Influence: 2.7] [Reference Citation Analysis]
Number Citing Articles
1 Li D, Wang X. Application value of diffusional kurtosis imaging (DKI) in evaluating microstructural changes in the spinal cord of patients with early cervical spondylotic myelopathy. Clinical Neurology and Neurosurgery 2017;156:71-6. [DOI: 10.1016/j.clineuro.2017.03.015] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 1.2] [Reference Citation Analysis]
2 King MJ, Tong A, Dane B, Huang C, Zhan C, Shanbhogue K. Response assessment of hepatocellular carcinoma treated with yttrium-90 radioembolization: inter-reader variability, comparison with 3D quantitative approach, and role in the prediction of clinical outcomes. European Journal of Radiology 2020;133:109351. [DOI: 10.1016/j.ejrad.2020.109351] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Rexha I, Laage-Gaupp F, Chapiro J, Miszczuk MA, van Breugel JMM, Lin M, Konstantinidis M, Duran R, Gebauer B, Georgiades C, Hong K, Nezami N. Role of 3D quantitative tumor analysis for predicting overall survival after conventional chemoembolization of intrahepatic cholangiocarcinoma. Sci Rep 2021;11:9337. [PMID: 33927226 DOI: 10.1038/s41598-021-88426-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 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]
5 Abajian A, Murali N, Savic LJ, Laage-Gaupp FM, Nezami N, Duncan JS, Schlachter T, Lin M, Geschwind JF, Chapiro J. Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept. J Vasc Interv Radiol. 2018;29:850-857.e1. [PMID: 29548875 DOI: 10.1016/j.jvir.2018.01.769] [Cited by in Crossref: 56] [Cited by in F6Publishing: 54] [Article Influence: 14.0] [Reference Citation Analysis]
6 Stark S, Wang C, Savic LJ, Letzen B, Schobert I, Miszczuk M, Murali N, Oestmann P, Gebauer B, Lin M, Duncan J, Schlachter T, Chapiro J. Automated feature quantification of Lipiodol as imaging biomarker to predict therapeutic efficacy of conventional transarterial chemoembolization of liver cancer. Sci Rep 2020;10:18026. [PMID: 33093524 DOI: 10.1038/s41598-020-75120-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
7 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]
8 Nawka MT, Sedlacik J, Frölich A, Bester M, Fiehler J, Buhk JH. Multiparametric MRI of intracranial aneurysms treated with the Woven EndoBridge (WEB): a case of Faraday's cage? J Neurointerv Surg 2018;10:988-94. [PMID: 29440326 DOI: 10.1136/neurintsurg-2017-013625] [Cited by in Crossref: 12] [Cited by in F6Publishing: 7] [Article Influence: 3.0] [Reference Citation Analysis]
9 Smolka S, Chapiro J, Manzano W, Treilhard J, Reiner E, Deng Y, Zhao Y, Hamm B, Duncan JS, Gebauer B, Lin M, Geschwind JF. The impact of antiangiogenic therapy combined with Transarterial Chemoembolization on enhancement based quantitative tumor response assessment in patients with hepatocellular carcinoma. Clin Imaging 2017;46:1-7. [PMID: 28668723 DOI: 10.1016/j.clinimag.2017.05.007] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 0.6] [Reference Citation Analysis]
10 Stroehl YW, Letzen BS, van Breugel JM, Geschwind JF, Chapiro J. Intra-arterial therapies for liver cancer: assessing tumor response. Expert Rev Anticancer Ther 2017;17:119-27. [PMID: 27983883 DOI: 10.1080/14737140.2017.1273775] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 1.3] [Reference Citation Analysis]
11 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]
12 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]
13 Zaid M, Widmann L, Dai A, Sun K, Zhang J, Zhao J, Hurd MW, Varadhachary GR, Wolff RA, Maitra A, Katz MHG, Herman JM, Wang H, Knopp MV, Williams TM, Bhosale P, Tamm EP, Koay EJ. Predictive Modeling for Voxel-Based Quantification of Imaging-Based Subtypes of Pancreatic Ductal Adenocarcinoma (PDAC): A Multi-Institutional Study. Cancers (Basel) 2020;12:E3656. [PMID: 33291471 DOI: 10.3390/cancers12123656] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
14 Young S, Taylor AJ, Sanghvi T. Post Locoregional Therapy Treatment Imaging in Hepatocellular Carcinoma Patients: A Literature-based Review. J Clin Transl Hepatol 2018;6:189-97. [PMID: 29951364 DOI: 10.14218/JCTH.2017.00059] [Cited by in Crossref: 11] [Cited by in F6Publishing: 3] [Article Influence: 2.8] [Reference Citation Analysis]
15 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]
16 Ghosn M, Derbel H, Kharrat R, Oubaya N, Mulé S, Chalaye J, Regnault H, Amaddeo G, Itti E, Luciani A, Kobeiter H, Tacher V. Prediction of overall survival in patients with hepatocellular carcinoma treated with Y-90 radioembolization by imaging response criteria. Diagn Interv Imaging 2021;102:35-44. [PMID: 33012693 DOI: 10.1016/j.diii.2020.09.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
17 Zhao Y, Duran R, Bai W, Sahu S, Wang W, Kabus S, Lin M, Han G, Geschwind JF. Which Criteria Applied in Multi-Phasic CT Can Predict Early Tumor Response in Patients with Hepatocellular Carcinoma Treated Using Conventional TACE: RECIST, mRECIST, EASL or qEASL? Cardiovasc Intervent Radiol. 2018;41:433-442. [PMID: 29086058 DOI: 10.1007/s00270-017-1829-4] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 2.0] [Reference Citation Analysis]
18 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]
19 Tacher V, Lin M, Duran R, Yarmohammadi H, Lee H, Chapiro J, Chao M, Wang Z, Frangakis C, Sohn JH. Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach. Radiology. 2016;278:275-284. [PMID: 26131913 DOI: 10.1148/radiol.2015142951] [Cited by in Crossref: 51] [Cited by in F6Publishing: 55] [Article Influence: 7.3] [Reference Citation Analysis]
20 Ding J, Xiao H, Deng W, Liu F, Zhu R, Ha R. Feasibility of quantitative and volumetric enhancement measurement to assess tumor response in patients with breast cancer after early neoadjuvant chemotherapy. J Int Med Res 2021;49:300060521991017. [PMID: 33682494 DOI: 10.1177/0300060521991017] [Reference Citation Analysis]
21 Sahu S, Schernthaner R, Ardon R, Chapiro J, Zhao Y, Sohn JH, Fleckenstein F, Lin M, Geschwind JF, Duran R. Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival? Radiology. 2017;283:883-894. [PMID: 27831830 DOI: 10.1148/radiol.2016160838] [Cited by in Crossref: 16] [Cited by in F6Publishing: 17] [Article Influence: 2.7] [Reference Citation Analysis]