102 related articles for article (PubMed ID: 33978825)
1. Integrating multiparametric MRI radiomics features and the Vesical Imaging-Reporting and Data System (VI-RADS) for bladder cancer grading.
Zheng Z; Xu F; Gu Z; Yan Y; Xu T; Liu S; Yao X
Abdom Radiol (NY); 2021 Sep; 46(9):4311-4323. PubMed ID: 33978825
[TBL] [Abstract][Full Text] [Related]
2. Prediction of histopathologic grades of bladder cancer with radiomics based on MRI: Comparison with traditional MRI.
Li L; Zhang J; Zhe X; Tang M; Zhang L; Lei X; Zhang X
Urol Oncol; 2024 Jun; 42(6):176.e9-176.e20. PubMed ID: 38556403
[TBL] [Abstract][Full Text] [Related]
3. Multi-parametric MRI-based machine learning model for prediction of WHO grading in patients with meningiomas.
Zhao Z; Nie C; Zhao L; Xiao D; Zheng J; Zhang H; Yan P; Jiang X; Zhao H
Eur Radiol; 2024 Apr; 34(4):2468-2479. PubMed ID: 37812296
[TBL] [Abstract][Full Text] [Related]
4. Multiparametric MRI-Based Radiomics Signature with Machine Learning for Preoperative Prediction of Prognosis Stratification in Pediatric Medulloblastoma.
Luo Y; Zhuang Y; Zhang S; Wang J; Teng S; Zeng H
Acad Radiol; 2024 Apr; 31(4):1629-1642. PubMed ID: 37643930
[TBL] [Abstract][Full Text] [Related]
5. Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram.
Zhang R; Jia S; Zhai L; Wu F; Zhang S; Li F
BMC Med Imaging; 2024 Apr; 24(1):98. PubMed ID: 38678222
[TBL] [Abstract][Full Text] [Related]
6. Preoperative CT-based deep learning radiomics model to predict lymph node metastasis and patient prognosis in bladder cancer: a two-center study.
Sun R; Zhang M; Yang L; Yang S; Li N; Huang Y; Song H; Wang B; Huang C; Hou F; Wang H
Insights Imaging; 2024 Jan; 15(1):21. PubMed ID: 38270647
[TBL] [Abstract][Full Text] [Related]
7. Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue.
Zheng G; Hou J; Shu Z; Peng J; Han L; Yuan Z; He X; Gong X
BMC Med Imaging; 2024 Jan; 24(1):22. PubMed ID: 38245712
[TBL] [Abstract][Full Text] [Related]
8. A radiomics nomogram for predicting the meningioma grade based on enhanced
Duan C; Zhou X; Wang J; Li N; Liu F; Gao S; Liu X; Xu W
Br J Radiol; 2022 Sep; 95(1137):20220141. PubMed ID: 35816518
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Multiparametric MRI radiomics nomogram for predicting lymph-vascular space invasion in early-stage cervical cancer.
Xiao M; Li Y; Ma F; Zhang G; Qiang J
Br J Radiol; 2022 Jun; 95(1134):20211076. PubMed ID: 35312379
[TBL] [Abstract][Full Text] [Related]
11. An MRI-Based Radiomics Nomogram for Differentiation of Benign and Malignant Vertebral Compression Fracture.
Feng Q; Xu S; Gong X; Wang T; He X; Liao D; Han F
Acad Radiol; 2024 Feb; 31(2):605-616. PubMed ID: 37586940
[TBL] [Abstract][Full Text] [Related]
12. Nomograms based on multiparametric MRI radiomics integrated with clinical-radiological features for predicting the response to induction chemotherapy in nasopharyngeal carcinoma.
Chen Z; Wang Z; Liu S; Zhang S; Zhou Y; Zhang R; Yang W
Eur J Radiol; 2024 Jun; 175():111438. PubMed ID: 38613869
[TBL] [Abstract][Full Text] [Related]
13. Exploring the association of glioma tumor residuals from incongruent [
Li X; Cheng Y; Han X; Cui B; Li J; Yang H; Xu G; Lin Q; Xiao X; Tang J; Lu J
Eur J Nucl Med Mol Imaging; 2024 Feb; 51(3):779-796. PubMed ID: 37864593
[TBL] [Abstract][Full Text] [Related]
14. Development and Validation of MRI Radiomics Models to Differentiate HER2-Zero, -Low, and -Positive Breast Cancer.
Peng Y; Zhang X; Qiu Y; Li B; Yang Z; Huang J; Lin J; Zheng C; Hu L; Shen J
AJR Am J Roentgenol; 2024 Apr; 222(4):e2330603. PubMed ID: 38265001
[No Abstract] [Full Text] [Related]
15. MRI-based radiomics nomogram for distinguishing solitary fibrous tumor from schwannoma in the orbit: a two-center study.
Ren J; Yuan Y; Qi M; Tao X
Eur Radiol; 2024 Jan; 34(1):560-568. PubMed ID: 37532903
[TBL] [Abstract][Full Text] [Related]
16. Prediction of meningioma grade by constructing a clinical radiomics model nomogram based on magnetic resonance imaging.
Han T; Liu X; Long C; Xu Z; Geng Y; Zhang B; Deng L; Jing M; Zhou J
Magn Reson Imaging; 2023 Dec; 104():16-22. PubMed ID: 37734573
[TBL] [Abstract][Full Text] [Related]
17. Multi-institutional validation of a radiomics signature for identification of postoperative progression of soft tissue sarcoma.
Yu Y; Guo H; Zhang M; Hou F; Yang S; Huang C; Duan L; Wang H
Cancer Imaging; 2024 May; 24(1):59. PubMed ID: 38720384
[TBL] [Abstract][Full Text] [Related]
18. Prediction of Ki-67 expression in bladder cancer based on CT radiomics nomogram.
Feng S; Zhou D; Li Y; Yuan R; Kong J; Jiang F; Chen W; Zhang L; Gong M
Front Oncol; 2024; 14():1276526. PubMed ID: 38482209
[TBL] [Abstract][Full Text] [Related]
19. Systematic radiomics analysis based on multiparameter MRI to preoperatively predict the expression of Ki67 and histological grade in patients with bladder cancer.
Fan X; Yu H; Ni X; Chen G; Li T; Chen J; He M; Liu H; Wang H; Yin X
Br J Radiol; 2023 Apr; 96(1145):20221086. PubMed ID: 36883677
[TBL] [Abstract][Full Text] [Related]
20. Multiparametric MRI-based radiomics nomogram for identifying cervix-corpus junction cervical adenocarcinoma from endometrioid adenocarcinoma.
Fang Y; Wang K; Xiao M; Cheng J; Lin Z; Qiang J; Li Y
Abdom Radiol (NY); 2024 May; 49(5):1557-1568. PubMed ID: 38441631
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
