973 related articles for article (PubMed ID: 30847586)
1. A radiomics nomogram based on multiparametric MRI might stratify glioblastoma patients according to survival.
Zhang X; Lu H; Tian Q; Feng N; Yin L; Xu X; Du P; Liu Y
Eur Radiol; 2019 Oct; 29(10):5528-5538. PubMed ID: 30847586
[TBL] [Abstract][Full Text] [Related]
2. A Multiparametric MRI-Based Radiomics Nomogram for Preoperative Prediction of Survival Stratification in Glioblastoma Patients With Standard Treatment.
Jia X; Zhai Y; Song D; Wang Y; Wei S; Yang F; Wei X
Front Oncol; 2022; 12():758622. PubMed ID: 35251957
[TBL] [Abstract][Full Text] [Related]
3. Multiple Survival Outcome Prediction of Glioblastoma Patients Based on Multiparametric MRI.
Wang B; Zhang S; Wu X; Li Y; Yan Y; Liu L; Xiang J; Li D; Yan T
Front Oncol; 2021; 11():778627. PubMed ID: 34900728
[TBL] [Abstract][Full Text] [Related]
4. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. A radiomics-clinical nomogram for preoperative prediction of IDH1 mutation in primary glioblastoma multiforme.
Su X; Sun H; Chen N; Roberts N; Yang X; Wang W; Li J; Huang X; Gong Q; Yue Q
Clin Radiol; 2020 Dec; 75(12):963.e7-963.e15. PubMed ID: 32921406
[TBL] [Abstract][Full Text] [Related]
7. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
[TBL] [Abstract][Full Text] [Related]
8. The Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
Xu Y; He X; Li Y; Pang P; Shu Z; Gong X
J Magn Reson Imaging; 2021 Aug; 54(2):571-583. PubMed ID: 33559302
[TBL] [Abstract][Full Text] [Related]
9. Development and Validation of an MRI-Based Radiomics Signature for the Preoperative Prediction of Lymph Node Metastasis in Bladder Cancer.
Wu S; Zheng J; Li Y; Wu Z; Shi S; Huang M; Yu H; Dong W; Huang J; Lin T
EBioMedicine; 2018 Aug; 34():76-84. PubMed ID: 30078735
[TBL] [Abstract][Full Text] [Related]
10. A Radiomics nomogram for predicting bone metastasis in newly diagnosed prostate cancer patients.
Zhang W; Mao N; Wang Y; Xie H; Duan S; Zhang X; Wang B
Eur J Radiol; 2020 Jul; 128():109020. PubMed ID: 32371181
[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. A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme.
Lao J; Chen Y; Li ZC; Li Q; Zhang J; Liu J; Zhai G
Sci Rep; 2017 Sep; 7(1):10353. PubMed ID: 28871110
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Deep Learning Radiomics for the Assessment of Telomerase Reverse Transcriptase Promoter Mutation Status in Patients With Glioblastoma Using Multiparametric MRI.
Zhang H; Zhang H; Zhang Y; Zhou B; Wu L; Lei Y; Huang B
J Magn Reson Imaging; 2023 Nov; 58(5):1441-1451. PubMed ID: 36896953
[TBL] [Abstract][Full Text] [Related]
15. A nomogram strategy for identifying the subclassification of IDH mutation and ATRX expression loss in lower-grade gliomas.
Wu S; Zhang X; Rui W; Sheng Y; Yu Y; Zhang Y; Yao Z; Qiu T; Ren Y
Eur Radiol; 2022 May; 32(5):3187-3198. PubMed ID: 35133485
[TBL] [Abstract][Full Text] [Related]
16. An Improvement of Survival Stratification in Glioblastoma Patients via Combining Subregional Radiomics Signatures.
Yang Y; Han Y; Hu X; Wang W; Cui G; Guo L; Zhang X
Front Neurosci; 2021; 15():683452. PubMed ID: 34054424
[TBL] [Abstract][Full Text] [Related]
17. Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma.
Pan ZQ; Zhang SJ; Wang XL; Jiao YX; Qiu JJ
Behav Neurol; 2020; 2020():1712604. PubMed ID: 33163122
[TBL] [Abstract][Full Text] [Related]
18. Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.
Cui Y; Yang X; Shi Z; Yang Z; Du X; Zhao Z; Cheng X
Eur Radiol; 2019 Mar; 29(3):1211-1220. PubMed ID: 30128616
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Multiregional radiomics features from multiparametric MRI for prediction of MGMT methylation status in glioblastoma multiforme: A multicentre study.
Li ZC; Bai H; Sun Q; Li Q; Liu L; Zou Y; Chen Y; Liang C; Zheng H
Eur Radiol; 2018 Sep; 28(9):3640-3650. PubMed ID: 29564594
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]