374 related articles for article (PubMed ID: 33741266)
1. MRI-based traditional radiomics and computer-vision nomogram for predicting lymphovascular space invasion in endometrial carcinoma.
Long L; Sun J; Jiang L; Hu Y; Li L; Tan Y; Cao M; Lan X; Zhang J
Diagn Interv Imaging; 2021; 102(7-8):455-462. PubMed ID: 33741266
[TBL] [Abstract][Full Text] [Related]
2. Multiparametric MRI-Based Radiomics Nomogram for Predicting Lymphovascular Space Invasion in Endometrial Carcinoma.
Luo Y; Mei D; Gong J; Zuo M; Guo X
J Magn Reson Imaging; 2020 Oct; 52(4):1257-1262. PubMed ID: 32315482
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A Multicenter Study on Preoperative Assessment of Lymphovascular Space Invasion in Early-Stage Cervical Cancer Based on Multimodal MR Radiomics.
Wu Y; Wang S; Chen Y; Liao Y; Yin X; Li T; Wang R; Luo X; Xu W; Zhou J; Wang S; Bu J; Zhang X
J Magn Reson Imaging; 2023 Nov; 58(5):1638-1648. PubMed ID: 36929220
[TBL] [Abstract][Full Text] [Related]
5. MRI-based radiomics nomogram for the preoperative prediction of deep myometrial invasion of FIGO stage I endometrial carcinoma.
Zhao M; Wen F; Shi J; Song J; Zhao J; Song Q; Lai Q; Luo Y; Yu T; Jiang X; Jiang W; Dong Y
Med Phys; 2022 Oct; 49(10):6505-6516. PubMed ID: 35758644
[TBL] [Abstract][Full Text] [Related]
6. Radiomics feature as a preoperative predictive of lymphovascular invasion in early-stage endometrial cancer: A multicenter study.
Liu XF; Yan BC; Li Y; Ma FH; Qiang JW
Front Oncol; 2022; 12():966529. PubMed ID: 36059674
[TBL] [Abstract][Full Text] [Related]
7. Preoperative prediction of lymphovascular space invasion in endometrioid adenocarcinoma: an MRI-based radiomics nomogram with consideration of the peritumoral region.
Yan B; Jia Y; Li Z; Ding C; Lu J; Liu J; Zhang Y
Acta Radiol; 2023 Sep; 64(9):2636-2645. PubMed ID: 37312525
[TBL] [Abstract][Full Text] [Related]
8. MR-Based Radiomics Nomogram of Cervical Cancer in Prediction of the Lymph-Vascular Space Invasion preoperatively.
Li Z; Li H; Wang S; Dong D; Yin F; Chen A; Wang S; Zhao G; Fang M; Tian J; Wu S; Wang H
J Magn Reson Imaging; 2019 May; 49(5):1420-1426. PubMed ID: 30362652
[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. Preoperative Assessment of MRI-Invisible Early-Stage Endometrial Cancer With MRI-Based Radiomics Analysis.
Jiang X; Song J; Zhang A; Cheng W; Duan S; Liu X; Chen T
J Magn Reson Imaging; 2023 Jul; 58(1):247-255. PubMed ID: 36259352
[TBL] [Abstract][Full Text] [Related]
11. A radiomics nomogram may improve the prediction of IDH genotype for astrocytoma before surgery.
Tan Y; Zhang ST; Wei JW; Dong D; Wang XC; Yang GQ; Tian J; Zhang H
Eur Radiol; 2019 Jul; 29(7):3325-3337. PubMed ID: 30972543
[TBL] [Abstract][Full Text] [Related]
12. Prediction of Lymphovascular Space Invision in Endometrial Cancer based on Multi-parameter MRI Radiomics Model.
Wang JJ; Zhang XH; Guo XH; Ying Y; Wang X; Luan ZH; Lv WQ; Wang PF
Curr Med Imaging; 2024 Mar; ():. PubMed ID: 38529651
[TBL] [Abstract][Full Text] [Related]
13. Nomograms of Combining Apparent Diffusion Coefficient Value and Radiomics for Preoperative Risk Evaluation in Endometrial Carcinoma.
Zhang K; Zhang Y; Fang X; Fang M; Shi B; Dong J; Qian L
Front Oncol; 2021; 11():705456. PubMed ID: 34386425
[TBL] [Abstract][Full Text] [Related]
14. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes.
Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB
Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020
[TBL] [Abstract][Full Text] [Related]
15. A clinical-radiomics model incorporating T2-weighted and diffusion-weighted magnetic resonance images predicts the existence of lymphovascular invasion / perineural invasion in patients with colorectal cancer.
Zhang K; Ren Y; Xu S; Lu W; Xie S; Qu J; Wang X; Shen B; Pang P; Cai X; Sun J
Med Phys; 2021 Sep; 48(9):4872-4882. PubMed ID: 34042185
[TBL] [Abstract][Full Text] [Related]
16. Evaluating Tumor-Infiltrating Lymphocytes in Breast Cancer Using Preoperative MRI-Based Radiomics.
Bian T; Wu Z; Lin Q; Mao Y; Wang H; Chen J; Chen Q; Fu G; Cui C; Su X
J Magn Reson Imaging; 2022 Mar; 55(3):772-784. PubMed ID: 34453461
[TBL] [Abstract][Full Text] [Related]
17. [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]
18. A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors.
Xu X; Wang H; Du P; Zhang F; Li S; Zhang Z; Yuan J; Liang Z; Zhang X; Guo Y; Liu Y; Lu H
J Magn Reson Imaging; 2019 Dec; 50(6):1893-1904. PubMed ID: 30980695
[TBL] [Abstract][Full Text] [Related]
19. Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.
Lefebvre TL; Ueno Y; Dohan A; Chatterjee A; Vallières M; Winter-Reinhold E; Saif S; Levesque IR; Zeng XZ; Forghani R; Seuntjens J; Soyer P; Savadjiev P; Reinhold C
Radiology; 2022 Nov; 305(2):375-386. PubMed ID: 35819326
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]