149 related articles for article (PubMed ID: 37746305)
1. Predicting the risk of distant metastasis in patients with locally advanced rectal cancer using model based on pre-treatment T2WI-based radiomic features plus postoperative pathological stage.
Wang C; Chen J; Zheng N; Zheng K; Zhou L; Zhang Q; Zhang W
Front Oncol; 2023; 13():1109588. PubMed ID: 37746305
[TBL] [Abstract][Full Text] [Related]
2. Development and validation of an MRI-based radiomic nomogram to distinguish between good and poor responders in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiotherapy.
Wang J; Liu X; Hu B; Gao Y; Chen J; Li J
Abdom Radiol (NY); 2021 May; 46(5):1805-1815. PubMed ID: 33151359
[TBL] [Abstract][Full Text] [Related]
3. Deep learning radiomics-based prediction of distant metastasis in patients with locally advanced rectal cancer after neoadjuvant chemoradiotherapy: A multicentre study.
Liu X; Zhang D; Liu Z; Li Z; Xie P; Sun K; Wei W; Dai W; Tang Z; Ding Y; Cai G; Tong T; Meng X; Tian J
EBioMedicine; 2021 Jul; 69():103442. PubMed ID: 34157487
[TBL] [Abstract][Full Text] [Related]
4. Prediction of distant metastasis in esophageal cancer using a radiomics-clinical model.
Zhu C; Mu F; Wang S; Qiu Q; Wang S; Wang L
Eur J Med Res; 2022 Dec; 27(1):272. PubMed ID: 36463269
[TBL] [Abstract][Full Text] [Related]
5. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
Qiu Q; Duan J; Deng H; Han Z; Gu J; Yue NJ; Yin Y
Front Oncol; 2020; 10():1398. PubMed ID: 32850451
[No Abstract] [Full Text] [Related]
6. Development and Validation of a Radiomic Nomogram for Predicting the Prognosis of Kidney Renal Clear Cell Carcinoma.
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
Front Oncol; 2021; 11():613668. PubMed ID: 34295804
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of Lymph Node Metastasis in Advanced Gastric Cancer Using Magnetic Resonance Imaging-Based Radiomics.
Chen W; Wang S; Dong D; Gao X; Zhou K; Li J; Lv B; Li H; Wu X; Fang M; Tian J; Xu M
Front Oncol; 2019; 9():1265. PubMed ID: 31824847
[No Abstract] [Full Text] [Related]
8. MRI-Based Radiomic Models Outperform Radiologists in Predicting Pathological Complete Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer.
Wen L; Liu J; Hu P; Bi F; Liu S; Jian L; Zhu S; Nie S; Cao F; Lu Q; Yu X; Liu K
Acad Radiol; 2023 Sep; 30 Suppl 1():S176-S184. PubMed ID: 36739228
[TBL] [Abstract][Full Text] [Related]
9. Noninvasive prediction of residual disease for advanced high-grade serous ovarian carcinoma by MRI-based radiomic-clinical nomogram.
Li H; Zhang R; Li R; Xia W; Chen X; Zhang J; Cai S; Li Y; Zhao S; Qiang J; Peng W; Gu Y; Gao X
Eur Radiol; 2021 Oct; 31(10):7855-7864. PubMed ID: 33864139
[TBL] [Abstract][Full Text] [Related]
10. Radiomics of rectal cancer for predicting distant metastasis and overall survival.
Li M; Zhu YZ; Zhang YC; Yue YF; Yu HP; Song B
World J Gastroenterol; 2020 Sep; 26(33):5008-5021. PubMed ID: 32952346
[TBL] [Abstract][Full Text] [Related]
11. Radiomic Nomogram Improves Preoperative T Category Accuracy in Locally Advanced Laryngeal Carcinoma.
Wang F; Zhang B; Wu X; Liu L; Fang J; Chen Q; Li M; Chen Z; Li Y; Dong D; Tian J; Zhang S
Front Oncol; 2019; 9():1064. PubMed ID: 31681598
[TBL] [Abstract][Full Text] [Related]
12. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
Wang S; Feng C; Dong D; Li H; Zhou J; Ye Y; Liu Z; Tian J; Wang Y
Med Phys; 2020 Oct; 47(10):4862-4871. PubMed ID: 32592224
[TBL] [Abstract][Full Text] [Related]
13. Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer.
Meng Y; Zhang Y; Dong D; Li C; Liang X; Zhang C; Wan L; Zhao X; Xu K; Zhou C; Tian J; Zhang H
J Magn Reson Imaging; 2018 Feb; ():. PubMed ID: 29437271
[TBL] [Abstract][Full Text] [Related]
14. Pre-Treatment Computed Tomography Radiomics for Predicting the Response to Neoadjuvant Chemoradiation in Locally Advanced Rectal Cancer: A Retrospective Study.
Mao Y; Pei Q; Fu Y; Liu H; Chen C; Li H; Gong G; Yin H; Pang P; Lin H; Xu B; Zai H; Yi X; Chen BT
Front Oncol; 2022; 12():850774. PubMed ID: 35619922
[TBL] [Abstract][Full Text] [Related]
15. MRI radiomics nomogram integrating postoperative adjuvant treatments in recurrence risk prediction for patients with early-stage cervical cancer.
Ai Y; Zhu X; Zhang Y; Li W; Li H; Zhao Z; Zhang J; Ning B; Li C; Zheng Q; Zhang J; Jin J; Li Y; Xie C; Jin X
Radiother Oncol; 2024 May; 197():110328. PubMed ID: 38761884
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Development of a Novel, Multi-Parametric, MRI-Based Radiomic Nomogram for Differentiating Between Clinically Significant and Insignificant Prostate Cancer.
Zhang Y; Chen W; Yue X; Shen J; Gao C; Pang P; Cui F; Xu M
Front Oncol; 2020; 10():888. PubMed ID: 32695660
[No Abstract] [Full Text] [Related]
18. [A prediction model of pathological complete response in patients with locally advanced rectal cancer after PD-1 antibody combined with total neoadjuvant chemoradiotherapy based on MRI radiomics].
Zhang XY; Zhu HT; Li XT; Li YJ; Li ZW; Wang WH; Wu AW; Sun YS; Zhang L
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Mar; 25(3):228-234. PubMed ID: 35340172
[No Abstract] [Full Text] [Related]
19. Radiomic signature-based nomogram to predict disease-free survival in stage II and III colon cancer.
Yao X; Sun C; Xiong F; Zhang X; Cheng J; Wang C; Ye Y; Hong N; Wang L; Liu Z; Meng X; Wang Y; Tian J
Eur J Radiol; 2020 Oct; 131():109205. PubMed ID: 32871292
[TBL] [Abstract][Full Text] [Related]
20. MRI-based radiomics to predict neoadjuvant chemoradiotherapy outcomes in locally advanced rectal cancer: A multicenter study.
Xiang Y; Li S; Wang H; Song M; Hu K; Wang F; Wang Z; Niu Z; Liu J; Cai Y; Li Y; Zhu X; Geng J; Zhang Y; Teng H; Wang W
Clin Transl Radiat Oncol; 2023 Jan; 38():175-182. PubMed ID: 36471751
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]