258 related articles for article (PubMed ID: 36995415)
1. 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]
2. 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]
3. 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]
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 radiomics nomogram for predicting early recurrence in patients with high-grade serous ovarian cancer.
Chen HZ; Wang XR; Zhao FM; Chen XJ; Li XS; Ning G; Guo YK
Eur J Radiol; 2021 Dec; 145():110018. PubMed ID: 34773830
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma.
Sun MX; Zhao MJ; Zhao LH; Jiang HR; Duan YX; Li G
Radiat Oncol; 2023 Apr; 18(1):67. PubMed ID: 37041545
[TBL] [Abstract][Full Text] [Related]
8. Radiomics Analysis of PET and CT Components of
Wang X; Lu Z
Front Oncol; 2021; 11():638124. PubMed ID: 33928029
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Intra- and peritumoral radiomics for predicting early recurrence in patients with high-grade serous ovarian cancer.
Wu Y; Jiang W; Fu L; Ren M; Ai H; Wang X
Abdom Radiol (NY); 2023 Feb; 48(2):733-743. PubMed ID: 36445408
[TBL] [Abstract][Full Text] [Related]
12. MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols.
Wang T; Wang H; Wang Y; Liu X; Ling L; Zhang G; Yang G; Zhang H
J Ovarian Res; 2022 Jan; 15(1):6. PubMed ID: 35022079
[TBL] [Abstract][Full Text] [Related]
13. MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma.
Zhao L; Gong J; Xi Y; Xu M; Li C; Kang X; Yin Y; Qin W; Yin H; Shi M
Eur Radiol; 2020 Jan; 30(1):537-546. PubMed ID: 31372781
[TBL] [Abstract][Full Text] [Related]
14. Development and validation of an ultrasound‑based radiomics nomogram to predict lymph node status in patients with high-grade serous ovarian cancer: a retrospective analysis.
Qi Y; Liu J; Wang X; Zhang Y; Li Z; Qi X; Huang Y
J Ovarian Res; 2024 Feb; 17(1):48. PubMed ID: 38389075
[TBL] [Abstract][Full Text] [Related]
15. Preoperative Assessment for High-Risk Endometrial Cancer by Developing an MRI- and Clinical-Based Radiomics Nomogram: A Multicenter Study.
Yan BC; Li Y; Ma FH; Feng F; Sun MH; Lin GW; Zhang GF; Qiang JW
J Magn Reson Imaging; 2020 Dec; 52(6):1872-1882. PubMed ID: 32681608
[TBL] [Abstract][Full Text] [Related]
16. Development of a prediction model for gross residual in high-grade serous ovarian cancer by combining preoperative assessments of abdominal and pelvic metastases and multiparametric MRI.
Lu J; Cai S; Wang F; Wu PY; Pan X; Qiang J; Li H; Zeng M
Acad Radiol; 2023 Sep; 30(9):1823-1831. PubMed ID: 36587996
[TBL] [Abstract][Full Text] [Related]
17. Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer.
Zhang S; Song M; Zhao Y; Xu S; Sun Q; Zhai G; Liang D; Wu G; Li ZC
Eur J Radiol; 2020 Oct; 131():109219. PubMed ID: 32905953
[TBL] [Abstract][Full Text] [Related]
18. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
[TBL] [Abstract][Full Text] [Related]
19. Radiomics nomogram outperforms size criteria in discriminating lymph node metastasis in resectable esophageal squamous cell carcinoma.
Tan X; Ma Z; Yan L; Ye W; Liu Z; Liang C
Eur Radiol; 2019 Jan; 29(1):392-400. PubMed ID: 29922924
[TBL] [Abstract][Full Text] [Related]
20. Preoperative prediction of perineural invasion of rectal cancer based on a magnetic resonance imaging radiomics model: A dual-center study.
Liu Y; Sun BJ; Zhang C; Li B; Yu XX; Du Y
World J Gastroenterol; 2024 Apr; 30(16):2233-2248. PubMed ID: 38690027
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]