116 related articles for article (PubMed ID: 38129227)
1. Habitat Radiomics Based on MRI for Predicting Platinum Resistance in Patients with High-Grade Serous Ovarian Carcinoma: A Multicenter Study.
Bi Q; Miao K; Xu N; Hu F; Yang J; Shi W; Lei Y; Wu Y; Song Y; Ai C; Li H; Qiang J
Acad Radiol; 2023 Dec; ():. PubMed ID: 38129227
[TBL] [Abstract][Full Text] [Related]
2. Prediction of platinum resistance for advanced high-grade serous ovarian carcinoma using MRI-based radiomics nomogram.
Li H; Cai S; Deng L; Xiao Z; Guo Q; Qiang J; Gong J; Gu Y; Liu Z
Eur Radiol; 2023 Aug; 33(8):5298-5308. PubMed ID: 36995415
[TBL] [Abstract][Full Text] [Related]
3. Different multiparametric MRI-based radiomics models for differentiating stage IA endometrial cancer from benign endometrial lesions: A multicenter study.
Bi Q; Wang Y; Deng Y; Liu Y; Pan Y; Song Y; Wu Y; Wu K
Front Oncol; 2022; 12():939930. PubMed ID: 35992858
[TBL] [Abstract][Full Text] [Related]
4. [Prediction of platinum-based chemotherapy sensitivity for epithelial ovarian cancer by multi-sequence MRI-based radiomic nomogram].
Mao MM; Li HM; Shi J; Qiu QS; Feng F
Zhonghua Yi Xue Za Zhi; 2022 Jan; 102(3):201-208. PubMed ID: 35042289
[No Abstract] [Full Text] [Related]
5. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
6. Preoperative prediction of miliary changes in the small bowel mesentery in advanced high-grade serous ovarian cancer using MRI radiomics nomogram.
Guo Q; Lin Z; Lu J; Li R; Wu L; Deng L; Qiang J; Wu X; Gu Y; Li H
Abdom Radiol (NY); 2023 Mar; 48(3):1119-1130. PubMed ID: 36651979
[TBL] [Abstract][Full Text] [Related]
7. Multicenter clinical radiomics-integrated model based on [
Zhang L; Pan H; Liu Z; Gao J; Xu X; Wang L; Wang J; Tang Y; Cao X; Kan Y; Wen Z; Chen J; Huang D; Chen S; Li Y
Eur Radiol; 2023 Feb; 33(2):872-883. PubMed ID: 35984514
[TBL] [Abstract][Full Text] [Related]
8. Development of a MRI-Based Radiomics Nomogram for Prediction of Response of Patients With Muscle-Invasive Bladder Cancer to Neoadjuvant Chemotherapy.
Zhang X; Wang Y; Zhang J; Zhang L; Wang S; Chen Y
Front Oncol; 2022; 12():878499. PubMed ID: 35646654
[TBL] [Abstract][Full Text] [Related]
9. Multiparametric magnetic resonance imaging-based radiomics nomogram for predicting tumor grade in endometrial cancer.
Yue X; He X; He S; Wu J; Fan W; Zhang H; Wang C
Front Oncol; 2023; 13():1081134. PubMed ID: 36895487
[TBL] [Abstract][Full Text] [Related]
10. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
[TBL] [Abstract][Full Text] [Related]
11. Deep learning-based radiomics model from pretreatment ADC to predict biochemical recurrence in advanced prostate cancer.
Wang H; Wang K; Zhang Y; Chen Y; Zhang X; Wang X
Front Oncol; 2024; 14():1342104. PubMed ID: 38476369
[TBL] [Abstract][Full Text] [Related]
12. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C
Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146
[TBL] [Abstract][Full Text] [Related]
13. A Nomogram Combining MRI Multisequence Radiomics and Clinical Factors for Predicting Recurrence of High-Grade Serous Ovarian Carcinoma.
Li C; Wang H; Chen Y; Fang M; Zhu C; Gao Y; Li J; Dong J; Wu X
J Oncol; 2022; 2022():1716268. PubMed ID: 35571486
[TBL] [Abstract][Full Text] [Related]
14. Development of MRI-Based Radiomics Model to Predict the Risk of Recurrence in Patients With Advanced High-Grade Serous Ovarian Carcinoma.
Li HM; Gong J; Li RM; Xiao ZB; Qiang JW; Peng WJ; Gu YJ
AJR Am J Roentgenol; 2021 Sep; 217(3):664-675. PubMed ID: 34259544
[No Abstract] [Full Text] [Related]
15. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
Front Oncol; 2021; 11():740776. PubMed ID: 34790570
[TBL] [Abstract][Full Text] [Related]
16. Nomograms of Combining MRI Multisequences Radiomics and Clinical Factors for Differentiating High-Grade From Low-Grade Serous Ovarian Carcinoma.
Li C; Wang H; Chen Y; Zhu C; Gao Y; Wang X; Dong J; Wu X
Front Oncol; 2022; 12():816982. PubMed ID: 35747838
[TBL] [Abstract][Full Text] [Related]
17. Development and Internal Validation of a Preoperative Prediction Model for Sentinel Lymph Node Status in Breast Cancer: Combining Radiomics Signature and Clinical Factors.
Wang C; Chen X; Luo H; Liu Y; Meng R; Wang M; Liu S; Xu G; Ren J; Zhou P
Front Oncol; 2021; 11():754843. PubMed ID: 34820327
[TBL] [Abstract][Full Text] [Related]
18. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
Zhang Y; Peng J; Liu J; Ma Y; Shu Z
Front Oncol; 2022; 12():828904. PubMed ID: 35480114
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
