156 related articles for article (PubMed ID: 36484309)
1. An Integrated Clinical-MR Radiomics Model to Estimate Survival Time in Patients With Endometrial Cancer.
Li X; Marcus D; Russell J; Aboagye EO; Ellis LB; Sheeka A; Park WE; Bharwani N; Ghaem-Maghami S; Rockall AG
J Magn Reson Imaging; 2023 Jun; 57(6):1922-1933. PubMed ID: 36484309
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Weibull parametric model for survival analysis in women with endometrial cancer using clinical and T2-weighted MRI radiomic features.
Li X; Marcus D; Russell J; Aboagye EO; Ellis LB; Sheeka A; Park WE; Bharwani N; Ghaem-Maghami S; Rockall AG
BMC Med Res Methodol; 2024 May; 24(1):107. PubMed ID: 38724889
[TBL] [Abstract][Full Text] [Related]
4. Whole-Volume Tumor MRI Radiomics for Prognostic Modeling in Endometrial Cancer.
Fasmer KE; Hodneland E; Dybvik JA; Wagner-Larsen K; Trovik J; Salvesen Ø; Krakstad C; Haldorsen IHS
J Magn Reson Imaging; 2021 Mar; 53(3):928-937. PubMed ID: 33200420
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Elaboration of Multiparametric MRI-Based Radiomics Signature for the Preoperative Quantitative Identification of the Histological Grade in Patients With Non-Small-Cell Lung Cancer.
Tang X; Bai G; Wang H; Guo F; Yin H
J Magn Reson Imaging; 2022 Aug; 56(2):579-589. PubMed ID: 35040525
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. 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]
9. Machine Learning-Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer.
Rodríguez-Ortega A; Alegre A; Lago V; Carot-Sierra JM; Ten-Esteve A; Montoliu G; Domingo S; Alberich-Bayarri Á; Martí-Bonmatí L
J Magn Reson Imaging; 2021 Sep; 54(3):987-995. PubMed ID: 33793008
[TBL] [Abstract][Full Text] [Related]
10. Preoperative Radiomics Approach to Evaluating Tumor-Infiltrating CD8
Bian Y; Liu C; Li Q; Meng Y; Liu F; Zhang H; Fang X; Li J; Yu J; Feng X; Ma C; Zhao Z; Wang L; Xu J; Shao C; Lu J
J Magn Reson Imaging; 2022 Mar; 55(3):803-814. PubMed ID: 34355834
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions.
Zhang Q; Peng Y; Liu W; Bai J; Zheng J; Yang X; Zhou L
J Magn Reson Imaging; 2020 Aug; 52(2):596-607. PubMed ID: 32061014
[TBL] [Abstract][Full Text] [Related]
13. Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.
Yan R; Hao D; Li J; Liu J; Hou F; Chen H; Duan L; Huang C; Wang H; Yu T
J Magn Reson Imaging; 2021 Jun; 53(6):1683-1696. PubMed ID: 33604955
[TBL] [Abstract][Full Text] [Related]
14. Prediction of Deep Myometrial Infiltration, Clinical Risk Category, Histological Type, and Lymphovascular Space Invasion in Women with Endometrial Cancer Based on Clinical and T2-Weighted MRI Radiomic Features.
Li X; Dessi M; Marcus D; Russell J; Aboagye EO; Ellis LB; Sheeka A; Park WE; Bharwani N; Ghaem-Maghami S; Rockall AG
Cancers (Basel); 2023 Apr; 15(8):. PubMed ID: 37190137
[TBL] [Abstract][Full Text] [Related]
15. MRI-based radiomics model for distinguishing endometrial carcinoma from benign mimics: A multicenter study.
Chen X; Wang X; Gan M; Li L; Chen F; Pan J; Hou Z; Yan Z; Wang C
Eur J Radiol; 2022 Jan; 146():110072. PubMed ID: 34861530
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. Preoperative prediction of sentinel lymph node metastasis in breast cancer by radiomic signatures from dynamic contrast-enhanced MRI.
Liu C; Ding J; Spuhler K; Gao Y; Serrano Sosa M; Moriarty M; Hussain S; He X; Liang C; Huang C
J Magn Reson Imaging; 2019 Jan; 49(1):131-140. PubMed ID: 30171822
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. MRI-based radiomic signatures for pretreatment prognostication in cervical cancer.
Wagner-Larsen KS; Hodneland E; Fasmer KE; Lura N; Woie K; Bertelsen BI; Salvesen Ø; Halle MK; Smit N; Krakstad C; Haldorsen IS
Cancer Med; 2023 Oct; 12(20):20251-20265. PubMed ID: 37840437
[TBL] [Abstract][Full Text] [Related]
20. Developing and validating a multivariable prediction model to improve the diagnostic accuracy in determination of cervical versus endometrial origin of uterine adenocarcinomas: A prospective MR study combining diffusion-weighted imaging and spectroscopy.
Lin G; Lin YC; Wu RC; Yang LY; Lu HY; Tsai SY; Huang YT; Huang YL; Lu KY; Ng KK; Yen TC; Chao A; Lai CH; Hong JH
J Magn Reson Imaging; 2018 Jun; 47(6):1654-1666. PubMed ID: 29178414
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
