BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Feng Z, Zhang L, Qi Z, Shen Q, Hu Z, Chen F. Identifying BAP1 Mutations in Clear-Cell Renal Cell Carcinoma by CT Radiomics: Preliminary Findings. Front Oncol 2020;10:279. [PMID: 32185138 DOI: 10.3389/fonc.2020.00279] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
Number Citing Articles
1 Lee M, Wei S, Anaokar J, Uzzo R, Kutikov A. Kidney cancer management 3.0: can artificial intelligence make us better? Curr Opin Urol 2021;31:409-15. [PMID: 33882560 DOI: 10.1097/MOU.0000000000000881] [Reference Citation Analysis]
2 Qi Y, Zhao T, Han M. The application of radiomics in predicting gene mutations in cancer. Eur Radiol. [DOI: 10.1007/s00330-021-08520-6] [Reference Citation Analysis]
3 Lin P, Lin YQ, Gao RZ, Wen R, Qin H, He Y, Yang H. Radiomic profiling of clear cell renal cell carcinoma reveals subtypes with distinct prognoses and molecular pathways. Transl Oncol 2021;14:101078. [PMID: 33862522 DOI: 10.1016/j.tranon.2021.101078] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
4 Khaleel S, Katims A, Cumarasamy S, Rosenzweig S, Attalla K, Hakimi AA, Mehrazin R. Radiogenomics in Clear Cell Renal Cell Carcinoma: A Review of the Current Status and Future Directions. Cancers 2022;14:2085. [DOI: 10.3390/cancers14092085] [Reference Citation Analysis]
5 Xie XJ, Liu SY, Chen JY, Zhao Y, Jiang J, Wu L, Zhang XW, Wu Y, Duan H, He B, Luo H, Han D. Development of unenhanced CT-based imaging signature for BAP1 mutation status prediction in malignant pleural mesothelioma: Consideration of 2D and 3D segmentation. Lung Cancer 2021;157:30-9. [PMID: 34052706 DOI: 10.1016/j.lungcan.2021.04.023] [Reference Citation Analysis]
6 Zeng H, Chen L, Wang M, Luo Y, Huang Y, Ma X. Integrative radiogenomics analysis for predicting molecular features and survival in clear cell renal cell carcinoma. Aging (Albany NY) 2021;13:9960-75. [PMID: 33795526 DOI: 10.18632/aging.202752] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
7 Xu Q, Zhu Q, Liu H, Chang L, Duan S, Dou W, Li S, Ye J. Differentiating Benign from Malignant Renal Tumors Using T2- and Diffusion-Weighted Images: A Comparison of Deep Learning and Radiomics Models Versus Assessment from Radiologists. J Magn Reson Imaging 2021. [PMID: 34462986 DOI: 10.1002/jmri.27900] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Kuusk T, Neves JB, Tran M, Bex A. Radiomics to better characterize small renal masses. World J Urol 2021;39:2861-8. [PMID: 33495866 DOI: 10.1007/s00345-021-03602-y] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Gao R, Qin H, Lin P, Ma C, Li C, Wen R, Huang J, Wan D, Wen D, Liang Y, Huang J, Li X, Wang X, Chen G, He Y, Yang H. Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma. Front Oncol 2021;11:613668. [PMID: 34295804 DOI: 10.3389/fonc.2021.613668] [Reference Citation Analysis]
10 Yan YC, Meng GX, Ding ZN, Liu YF, Chen ZQ, Yan LJ, Yang YF, Liu H, Yang CC, Dong ZR, Hong JG, Li T. Somatic mutation and expression of BAP1 in hepatocellular carcinoma: an indicator for ferroptosis and immune checkpoint inhibitor therapies. J Cancer 2022;13:88-101. [PMID: 34976173 DOI: 10.7150/jca.65574] [Reference Citation Analysis]