429 related articles for article (PubMed ID: 32089742)
1. Association of MRI-derived radiomic biomarker with disease-free survival in patients with early-stage cervical cancer.
Fang J; Zhang B; Wang S; Jin Y; Wang F; Ding Y; Chen Q; Chen L; Li Y; Li M; Chen Z; Liu L; Liu Z; Tian J; Zhang S
Theranostics; 2020; 10(5):2284-2292. PubMed ID: 32089742
[TBL] [Abstract][Full Text] [Related]
2. Multiparametric magnetic resonance imaging-derived radiomics for the prediction of disease-free survival in early-stage squamous cervical cancer.
Zhou Y; Gu HL; Zhang XL; Tian ZF; Xu XQ; Tang WW
Eur Radiol; 2022 Apr; 32(4):2540-2551. PubMed ID: 34642807
[TBL] [Abstract][Full Text] [Related]
3. MRI radiomics combined with clinicopathologic features to predict disease-free survival in patients with early-stage cervical cancer.
Jiang X; Song J; Duan S; Cheng W; Chen T; Liu X
Br J Radiol; 2022 Aug; 95(1136):20211229. PubMed ID: 35604668
[TBL] [Abstract][Full Text] [Related]
4. An MRI-based radiomics signature and clinical characteristics for survival prediction in early-stage cervical cancer.
Zheng RR; Cai MT; Lan L; Huang XW; Yang YJ; Powell M; Lin F
Br J Radiol; 2022 Jan; 95(1129):20210838. PubMed ID: 34797703
[TBL] [Abstract][Full Text] [Related]
5. Development and Validation of a Preoperative Magnetic Resonance Imaging Radiomics-Based Signature to Predict Axillary Lymph Node Metastasis and Disease-Free Survival in Patients With Early-Stage Breast Cancer.
Yu Y; Tan Y; Xie C; Hu Q; Ouyang J; Chen Y; Gu Y; Li A; Lu N; He Z; Yang Y; Chen K; Ma J; Li C; Ma M; Li X; Zhang R; Zhong H; Ou Q; Zhang Y; He Y; Li G; Wu Z; Su F; Song E; Yao H
JAMA Netw Open; 2020 Dec; 3(12):e2028086. PubMed ID: 33289845
[TBL] [Abstract][Full Text] [Related]
6. Postoperative nomogram for the prediction of disease-free survival in lymph node-negative stage I-IIA cervical cancer patients treated with radical hysterectomy.
Gülseren V; Kocaer M; Çakır İ; Özdemir İA; Sancı M; Güngördük K
J Obstet Gynaecol; 2020 Jul; 40(5):699-704. PubMed ID: 31607197
[TBL] [Abstract][Full Text] [Related]
7. Radiomics nomogram for predicting disease-free survival after partial resection or radical cystectomy in patients with bladder cancer.
Cai Q; Huang Y; Ling J; Kong L; Lin Y; Chen Y; Cao W; Liao Y; Guo Y; Guan J; Wang H
Br J Radiol; 2024 Jan; 97(1153):201-209. PubMed ID: 38263836
[TBL] [Abstract][Full Text] [Related]
8. Predicting Disease-Free Survival With Multiparametric MRI-Derived Radiomic Signature in Cervical Cancer Patients Underwent CCRT.
Liu B; Sun Z; Xu ZL; Zhao HL; Wen DD; Li YA; Zhang F; Hou BX; Huan Y; Wei LC; Zheng MW
Front Oncol; 2021; 11():812993. PubMed ID: 35145910
[TBL] [Abstract][Full Text] [Related]
9. MRI-Based Radiomic Signature as a Prognostic Biomarker for HER2-Positive Invasive Breast Cancer Treated with NAC.
Li Q; Xiao Q; Li J; Duan S; Wang H; Gu Y
Cancer Manag Res; 2020; 12():10603-10613. PubMed ID: 33149669
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Radiomics Signature on Magnetic Resonance Imaging: Association with Disease-Free Survival in Patients with Invasive Breast Cancer.
Park H; Lim Y; Ko ES; Cho HH; Lee JE; Han BK; Ko EY; Choi JS; Park KW
Clin Cancer Res; 2018 Oct; 24(19):4705-4714. PubMed ID: 29914892
[No Abstract] [Full Text] [Related]
12. Pre-treatment MRI minimum apparent diffusion coefficient value is a potential prognostic imaging biomarker in cervical cancer patients treated with definitive chemoradiation.
Marconi DG; Fregnani JH; Rossini RR; Netto AK; Lucchesi FR; Tsunoda AT; Kamrava M
BMC Cancer; 2016 Jul; 16():556. PubMed ID: 27469349
[TBL] [Abstract][Full Text] [Related]
13. Prognostic value of lymphovascular space invasion in patients with early stage cervical cancer in Jilin, China: A retrospective study.
Yan W; Qiu S; Ding Y; Zhang Q; Si L; Lv S; Liu L
Medicine (Baltimore); 2019 Oct; 98(40):e17301. PubMed ID: 31577720
[TBL] [Abstract][Full Text] [Related]
14. MRI Radiomic Features: Association with Disease-Free Survival in Patients with Triple-Negative Breast Cancer.
Kim S; Kim MJ; Kim EK; Yoon JH; Park VY
Sci Rep; 2020 Feb; 10(1):3750. PubMed ID: 32111957
[TBL] [Abstract][Full Text] [Related]
15. MRI Radiomic Features: A Potential Biomarker for Progression-Free Survival Prediction of Patients With Locally Advanced Cervical Cancer Undergoing Surgery.
Cai M; Yao F; Ding J; Zheng R; Huang X; Yang Y; Lin F; Hu Z
Front Oncol; 2021; 11():749114. PubMed ID: 34970482
[TBL] [Abstract][Full Text] [Related]
16. Radiomics analysis of magnetic resonance imaging improves diagnostic performance of lymph node metastasis in patients with cervical cancer.
Wu Q; Wang S; Chen X; Wang Y; Dong L; Liu Z; Tian J; Wang M
Radiother Oncol; 2019 Sep; 138():141-148. PubMed ID: 31252296
[TBL] [Abstract][Full Text] [Related]
17. Prediction of lymphovascular space invasion using a combination of tenascin-C, cox-2, and PET/CT radiomics in patients with early-stage cervical squamous cell carcinoma.
Li X; Xu C; Yu Y; Guo Y; Sun H
BMC Cancer; 2021 Jul; 21(1):866. PubMed ID: 34320931
[TBL] [Abstract][Full Text] [Related]
18. Preoperative prediction of cervical cancer survival using a high-resolution MRI-based radiomics nomogram.
Li J; Zhou H; Lu X; Wang Y; Pang H; Cesar D; Liu A; Zhou P
BMC Med Imaging; 2023 Oct; 23(1):153. PubMed ID: 37821840
[TBL] [Abstract][Full Text] [Related]
19. Prediction of lymph node status in patients with early-stage cervical cancer based on radiomic features of magnetic resonance imaging (MRI) images.
Liu S; Zhou Y; Wang C; Shen J; Zheng Y
BMC Med Imaging; 2023 Aug; 23(1):101. PubMed ID: 37528338
[TBL] [Abstract][Full Text] [Related]
20. MRI-based radiomic signatures for pretreatment prognostication in cervical cancer.
Wagner-Larsen KS; Hodneland E; Fasmer KE; Lura N; Woie K; Bertelsen BI; Salvesen Ø; Halle MK; Smit N; Krakstad C; Haldorsen IS
Cancer Med; 2023 Oct; 12(20):20251-20265. PubMed ID: 37840437
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]