137 related articles for article (PubMed ID: 37525139)
1. Network Evolution Model-based prediction of tumor mutation burden from radiomic-clinical features in endometrial cancers.
Tan Q; Wang Q; Jin S; Zhou F; Zou X
BMC Cancer; 2023 Jul; 23(1):712. PubMed ID: 37525139
[TBL] [Abstract][Full Text] [Related]
2. Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.
Veeraraghavan H; Friedman CF; DeLair DF; Ninčević J; Himoto Y; Bruni SG; Cappello G; Petkovska I; Nougaret S; Nikolovski I; Zehir A; Abu-Rustum NR; Aghajanian C; Zamarin D; Cadoo KA; Diaz LA; Leitao MM; Makker V; Soslow RA; Mueller JJ; Weigelt B; Lakhman Y
Sci Rep; 2020 Oct; 10(1):17769. PubMed ID: 33082371
[TBL] [Abstract][Full Text] [Related]
3. Genotype prediction of ATRX mutation in lower-grade gliomas using an MRI radiomics signature.
Li Y; Liu X; Qian Z; Sun Z; Xu K; Wang K; Fan X; Zhang Z; Li S; Wang Y; Jiang T
Eur Radiol; 2018 Jul; 28(7):2960-2968. PubMed ID: 29404769
[TBL] [Abstract][Full Text] [Related]
4. Radiogenomic analysis of PTEN mutation in glioblastoma using preoperative multi-parametric magnetic resonance imaging.
Li Y; Liang Y; Sun Z; Xu K; Fan X; Li S; Zhang Z; Jiang T; Liu X; Wang Y
Neuroradiology; 2019 Nov; 61(11):1229-1237. PubMed ID: 31218383
[TBL] [Abstract][Full Text] [Related]
5. Radiomic assessment as a method for predicting tumor mutation burden (TMB) of bladder cancer patients: a feasibility study.
Tang X; Qian WL; Yan WF; Pang T; Gong YL; Yang ZG
BMC Cancer; 2021 Jul; 21(1):823. PubMed ID: 34271855
[TBL] [Abstract][Full Text] [Related]
6. Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [
Nakajo M; Jinguji M; Tani A; Kikuno H; Hirahara D; Togami S; Kobayashi H; Yoshiura T
Mol Imaging Biol; 2021 Oct; 23(5):756-765. PubMed ID: 33763816
[TBL] [Abstract][Full Text] [Related]
7. MRI features predict p53 status in lower-grade gliomas via a machine-learning approach.
Li Y; Qian Z; Xu K; Wang K; Fan X; Li S; Jiang T; Liu X; Wang Y
Neuroimage Clin; 2018; 17():306-311. PubMed ID: 29527478
[TBL] [Abstract][Full Text] [Related]
8. Whole-Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer.
Fasmer KE; Hodneland E; Dybvik JA; Wagner-Larsen K; Trovik J; Salvesen Ø; Krakstad C; Haldorsen IHS
J Magn Reson Imaging; 2021 Mar; 53(3):928-937. PubMed ID: 33200420
[TBL] [Abstract][Full Text] [Related]
9. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
[TBL] [Abstract][Full Text] [Related]
10. MRI Radiomic Features to Predict IDH1 Mutation Status in Gliomas: A Machine Learning Approach using Gradient Tree Boosting.
Sakai Y; Yang C; Kihira S; Tsankova N; Khan F; Hormigo A; Lai A; Cloughesy T; Nael K
Int J Mol Sci; 2020 Oct; 21(21):. PubMed ID: 33121211
[TBL] [Abstract][Full Text] [Related]
11. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction.
Choi YS; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Jain R; Lee SK
Eur Radiol; 2020 Jul; 30(7):3834-3842. PubMed ID: 32162004
[TBL] [Abstract][Full Text] [Related]
12. Preoperative assessment of high-grade endometrial cancer using a radiomic signature and clinical indicators.
Zheng T; Pan J; Du D; Liang X; Yi H; Du J; Wu S; Liu L; Shi G
Future Oncol; 2023 Mar; 19(8):587-601. PubMed ID: 37097730
[TBL] [Abstract][Full Text] [Related]
13. MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study.
Chen X; Wang X; Gan M; Li L; Chen F; Pan J; Hou Z; Yan Z; Wang C
Eur J Radiol; 2022 Jan; 146():110072. PubMed ID: 34861530
[TBL] [Abstract][Full Text] [Related]
14. Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low-Grade Gliomas Using Multiparametric MR Radiomic Features.
Ren Y; Zhang X; Rui W; Pang H; Qiu T; Wang J; Xie Q; Jin T; Zhang H; Chen H; Zhang Y; Lu H; Yao Z; Zhang J; Feng X
J Magn Reson Imaging; 2019 Mar; 49(3):808-817. PubMed ID: 30194745
[TBL] [Abstract][Full Text] [Related]
15. Radiogenomic analysis of vascular endothelial growth factor in patients with diffuse gliomas.
Sun Z; Li Y; Wang Y; Fan X; Xu K; Wang K; Li S; Zhang Z; Jiang T; Liu X
Cancer Imaging; 2019 Oct; 19(1):68. PubMed ID: 31639060
[TBL] [Abstract][Full Text] [Related]
16. Quantitative integration of radiomic and genomic data improves survival prediction of low-grade glioma patients.
Ma C; Yao Z; Zhang Q; Zou X
Math Biosci Eng; 2020 Dec; 18(1):727-744. PubMed ID: 33525116
[TBL] [Abstract][Full Text] [Related]
17. Integrated analysis of tumor mutation burden and immune infiltrates in endometrial cancer.
Zhou H; Chen L; Lei Y; Li T; Li H; Cheng X
Curr Probl Cancer; 2021 Apr; 45(2):100660. PubMed ID: 33012523
[TBL] [Abstract][Full Text] [Related]
18. Machine Learning-Based Multiparametric Magnetic Resonance Imaging Radiomics for Prediction of H3K27M Mutation in Midline Gliomas.
Kandemirli SG; Kocak B; Naganawa S; Ozturk K; Yip SSF; Chopra S; Rivetti L; Aldine AS; Jones K; Cayci Z; Moritani T; Sato TS
World Neurosurg; 2021 Jul; 151():e78-e85. PubMed ID: 33819703
[TBL] [Abstract][Full Text] [Related]
19. Prediction of response after chemoradiation for esophageal cancer using a combination of dosimetry and CT radiomics.
Jin X; Zheng X; Chen D; Jin J; Zhu G; Deng X; Han C; Gong C; Zhou Y; Liu C; Xie C
Eur Radiol; 2019 Nov; 29(11):6080-6088. PubMed ID: 31028447
[TBL] [Abstract][Full Text] [Related]
20. Radiomic signature as a predictive factor for lymph node metastasis in early-stage cervical cancer.
Kan Y; Dong D; Zhang Y; Jiang W; Zhao N; Han L; Fang M; Zang Y; Hu C; Tian J; Li C; Luo Y
J Magn Reson Imaging; 2019 Jan; 49(1):304-310. PubMed ID: 30102438
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]