143 related articles for article (PubMed ID: 36412264)
1. MRI Radiomics Signature of Pediatric Medulloblastoma Improves Risk Stratification Beyond Clinical and Conventional MR Imaging Features.
Zheng H; Li J; Liu H; Ting G; Yin Q; Li R; Liu M; Zhang Y; Duan S; Li Y; Wang D
J Magn Reson Imaging; 2023 Jul; 58(1):236-246. PubMed ID: 36412264
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Clinical-MRI radiomics enables the prediction of preoperative cerebral spinal fluid dissemination in children with medulloblastoma.
Zheng H; Li J; Liu H; Wu C; Gui T; Liu M; Zhang Y; Duan S; Li Y; Wang D
World J Surg Oncol; 2021 Apr; 19(1):134. PubMed ID: 33888125
[TBL] [Abstract][Full Text] [Related]
4. Radiomics signature for the prediction of progression-free survival and radiotherapeutic benefits in pediatric medulloblastoma.
Liu ZM; Zhang H; Ge M; Hao XL; An X; Tian YJ
Childs Nerv Syst; 2022 Jun; 38(6):1085-1094. PubMed ID: 35394210
[TBL] [Abstract][Full Text] [Related]
5. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
[TBL] [Abstract][Full Text] [Related]
6. Incremental prognostic value and underlying biological pathways of radiomics patterns in medulloblastoma.
Yan J; Zhang S; Li KK; Wang W; Li K; Duan W; Yuan B; Wang L; Liu L; Zhan Y; Pei D; Zhao H; Sun T; Sun C; Wang W; Liu Z; Hong X; Wang X; Guo Y; Li W; Cheng J; Liu X; Ng HK; Li Z; Zhang Z
EBioMedicine; 2020 Nov; 61():103093. PubMed ID: 33096488
[TBL] [Abstract][Full Text] [Related]
7. Risk Stratification and Overall Survival Prediction in Advanced Gastric Cancer Patients Based on Whole-Volume MRI Radiomics.
Chen W; Gao C; Hu C; Zheng Y; Wang L; Chen H; Jiang H
J Magn Reson Imaging; 2023 Oct; 58(4):1161-1174. PubMed ID: 36722356
[TBL] [Abstract][Full Text] [Related]
8. Radiomics Profiling Identifies the Incremental Value of MRI Features beyond Key Molecular Biomarkers for the Risk Stratification of High-Grade Gliomas.
Yang G; Sha Y; Wang X; Tan Y; Zhang H
Contrast Media Mol Imaging; 2022; 2022():8952357. PubMed ID: 35386727
[TBL] [Abstract][Full Text] [Related]
9. Radiomics Analysis Based on Magnetic Resonance Imaging for Preoperative Overall Survival Prediction in Isocitrate Dehydrogenase Wild-Type Glioblastoma.
Wang S; Xiao F; Sun W; Yang C; Ma C; Huang Y; Xu D; Li L; Chen J; Li H; Xu H
Front Neurosci; 2021; 15():791776. PubMed ID: 35153659
[TBL] [Abstract][Full Text] [Related]
10. Multiparametric MRI-Based Radiomic Signature for Preoperative Evaluation of Overall Survival in Intrahepatic Cholangiocarcinoma After Partial Hepatectomy.
Yang Y; Zou X; Zhou W; Yuan G; Hu D; Kuang D; Shen Y; Xie Q; Zhang Q; Hu X; Li Z
J Magn Reson Imaging; 2022 Sep; 56(3):739-751. PubMed ID: 35049076
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Automatic image segmentation and online survival prediction model of medulloblastoma based on machine learning.
Zhou L; Ji Q; Peng H; Chen F; Zheng Y; Jiao Z; Gong J; Li W
Eur Radiol; 2023 Nov; ():. PubMed ID: 37994966
[TBL] [Abstract][Full Text] [Related]
13. MRI-Based Radiomics Signature for the Preoperative Prediction of Extracapsular Extension of Prostate Cancer.
Ma S; Xie H; Wang H; Han C; Yang J; Lin Z; Li Y; He Q; Wang R; Cui Y; Zhang X; Wang X
J Magn Reson Imaging; 2019 Dec; 50(6):1914-1925. PubMed ID: 31062459
[TBL] [Abstract][Full Text] [Related]
14. Radiomics nomogram for differentiating between benign and malignant soft-tissue masses of the extremities.
Wang H; Nie P; Wang Y; Xu W; Duan S; Chen H; Hao D; Liu J
J Magn Reson Imaging; 2020 Jan; 51(1):155-163. PubMed ID: 31169956
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Development and Validation of Noninvasive MRI-Based Signature for Preoperative Prediction of Early Recurrence in Perihilar Cholangiocarcinoma.
Zhao J; Zhang W; Zhu YY; Zheng HY; Xu L; Zhang J; Liu SY; Li FY; Song B
J Magn Reson Imaging; 2022 Mar; 55(3):787-802. PubMed ID: 34296802
[TBL] [Abstract][Full Text] [Related]
17. Radiomics Nomogram Building From Multiparametric MRI to Predict Grade in Patients With Glioma: A Cohort Study.
Wang Q; Li Q; Mi R; Ye H; Zhang H; Chen B; Li Y; Huang G; Xia J
J Magn Reson Imaging; 2019 Mar; 49(3):825-833. PubMed ID: 30260592
[TBL] [Abstract][Full Text] [Related]
18. MRI-Based Radiomics Nomogram for Preoperative Differentiation Between Ocular Adnexal Lymphoma and Idiopathic Orbital Inflammation.
Yang L; Zhang H; Xie X; Jiang S; Zhang H; Cao X; Hou Y; He X; Wang J; Zhang T; Zhao F
J Magn Reson Imaging; 2023 May; 57(5):1594-1604. PubMed ID: 36053805
[TBL] [Abstract][Full Text] [Related]
19. Radiomics signature extracted from diffusion-weighted magnetic resonance imaging predicts outcomes in osteosarcoma.
Zhao S; Su Y; Duan J; Qiu Q; Ge X; Wang A; Yin Y
J Bone Oncol; 2019 Dec; 19():100263. PubMed ID: 31667064
[TBL] [Abstract][Full Text] [Related]
20. MRI-Based Radiomics: Associations With the Recurrence-Free Survival of Patients With Hepatocellular Carcinoma Treated With Conventional Transcatheter Arterial Chemoembolization.
Song W; Yu X; Guo D; Liu H; Tang Z; Liu X; Zhou J; Zhang H; Liu Y; Liu X
J Magn Reson Imaging; 2020 Aug; 52(2):461-473. PubMed ID: 31675174
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
