148 related articles for article (PubMed ID: 38472373)
1. Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: a multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer.
Usuzaki T; Takahashi K; Inamori R; Morishita Y; Shizukuishi T; Takagi H; Ishikuro M; Obara T; Takase K
Neuroradiology; 2024 May; 66(5):761-773. PubMed ID: 38472373
[TBL] [Abstract][Full Text] [Related]
2. Fusion Radiomics Features from Conventional MRI Predict MGMT Promoter Methylation Status in Lower Grade Gliomas.
Jiang C; Kong Z; Liu S; Feng S; Zhang Y; Zhu R; Chen W; Wang Y; Lyu Y; You H; Zhao D; Wang R; Wang Y; Ma W; Feng F
Eur J Radiol; 2019 Dec; 121():108714. PubMed ID: 31704598
[TBL] [Abstract][Full Text] [Related]
3. Predicting MGMT Promoter Methylation in Diffuse Gliomas Using Deep Learning with Radiomics.
Chen S; Xu Y; Ye M; Li Y; Sun Y; Liang J; Lu J; Wang Z; Zhu Z; Zhang X; Zhang B
J Clin Med; 2022 Jun; 11(12):. PubMed ID: 35743511
[TBL] [Abstract][Full Text] [Related]
4. MRI-based radiomics as response predictor to radiochemotherapy for metastatic cervical lymph node in nasopharyngeal carcinoma.
Xu H; Liu J; Huang Y; Zhou P; Ren J
Br J Radiol; 2021 Jun; 94(1122):20201212. PubMed ID: 33882240
[TBL] [Abstract][Full Text] [Related]
5. Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status.
He J; Ren J; Niu G; Liu A; Wu Q; Xie S; Ma X; Li B; Wang P; Shen J; Wu J; Gao Y
BMC Med Imaging; 2022 Aug; 22(1):137. PubMed ID: 35931979
[TBL] [Abstract][Full Text] [Related]
6. Machine learning-based radiomic, clinical and semantic feature analysis for predicting overall survival and MGMT promoter methylation status in patients with glioblastoma.
Lu Y; Patel M; Natarajan K; Ughratdar I; Sanghera P; Jena R; Watts C; Sawlani V
Magn Reson Imaging; 2020 Dec; 74():161-170. PubMed ID: 32980505
[TBL] [Abstract][Full Text] [Related]
7. Noninvasive Assessment of O(6)-Methylguanine-DNA Methyltransferase Promoter Methylation Status in World Health Organization Grade II-IV Glioma Using Histogram Analysis of Inflow-Based Vascular-Space-Occupancy Combined with Structural Magnetic Resonance Imaging.
He W; Li X; Hua J; Liao S; Guo L; Xiao X; Liu X; Zhou J; Wang W; Xu Y; Wu Y
J Magn Reson Imaging; 2021 Jul; 54(1):227-236. PubMed ID: 33590929
[TBL] [Abstract][Full Text] [Related]
8. T2-FLAIR mismatch sign and machine learning-based multiparametric MRI radiomics in predicting IDH mutant 1p/19q non-co-deleted diffuse lower-grade gliomas.
Tang WT; Su CQ; Lin J; Xia ZW; Lu SS; Hong XN
Clin Radiol; 2024 May; 79(5):e750-e758. PubMed ID: 38360515
[TBL] [Abstract][Full Text] [Related]
9. Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.
Luo Z; Li J; Liao Y; Liu R; Shen X; Chen W
Front Oncol; 2022; 12():802234. PubMed ID: 35273911
[TBL] [Abstract][Full Text] [Related]
10. The application of radiomics machine learning models based on multimodal MRI with different sequence combinations in predicting cervical lymph node metastasis in oral tongue squamous cell carcinoma patients.
Liu S; Zhang A; Xiong J; Su X; Zhou Y; Li Y; Zhang Z; Li Z; Liu F
Head Neck; 2024 Mar; 46(3):513-527. PubMed ID: 38108536
[TBL] [Abstract][Full Text] [Related]
11. Noninvasive Evaluation of the Notch Signaling Pathway via Radiomic Signatures Based on Multiparametric MRI in Association With Biological Functions of Patients With Glioma: A Multi-institutional Study.
Shen N; Lv W; Li S; Liu D; Xie Y; Zhang J; Zhang J; Jiang J; Jiang R; Zhu W
J Magn Reson Imaging; 2023 Mar; 57(3):884-896. PubMed ID: 35929909
[TBL] [Abstract][Full Text] [Related]
12. Radiomics analysis of T1WI and T2WI magnetic resonance images to differentiate between IgG4-related ophthalmic disease and orbital MALT lymphoma.
Shao Y; Chen Y; Chen S; Wei R
BMC Ophthalmol; 2023 Jun; 23(1):288. PubMed ID: 37353736
[TBL] [Abstract][Full Text] [Related]
13. Prediction of malignant glioma grades using contrast-enhanced T1-weighted and T2-weighted magnetic resonance images based on a radiomic analysis.
Nakamoto T; Takahashi W; Haga A; Takahashi S; Kiryu S; Nawa K; Ohta T; Ozaki S; Nozawa Y; Tanaka S; Mukasa A; Nakagawa K
Sci Rep; 2019 Dec; 9(1):19411. PubMed ID: 31857632
[TBL] [Abstract][Full Text] [Related]
14. Magnetic resonance imaging based on radiomics for differentiating T1-category nasopharyngeal carcinoma from nasopharyngeal lymphoid hyperplasia: a multicenter study.
Cheng J; Su W; Wang Y; Zhan Y; Wang Y; Yan S; Yuan Y; Chen L; Wei Z; Zhang S; Gao X; Tang Z
Jpn J Radiol; 2024 Feb; ():. PubMed ID: 38409300
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. Development and external validation of a multiparametric MRI-based radiomics model for preoperative prediction of microsatellite instability status in rectal cancer: a retrospective multicenter study.
Li Z; Zhang J; Zhong Q; Feng Z; Shi Y; Xu L; Zhang R; Yu F; Lv B; Yang T; Huang C; Cui F; Chen F
Eur Radiol; 2023 Mar; 33(3):1835-1843. PubMed ID: 36282309
[TBL] [Abstract][Full Text] [Related]
17. Multicenter clinical radiomics-integrated model based on [
Zhang L; Pan H; Liu Z; Gao J; Xu X; Wang L; Wang J; Tang Y; Cao X; Kan Y; Wen Z; Chen J; Huang D; Chen S; Li Y
Eur Radiol; 2023 Feb; 33(2):872-883. PubMed ID: 35984514
[TBL] [Abstract][Full Text] [Related]
18. Predictive value of magnetic resonance imaging radiomics-based machine learning for disease progression in patients with high-grade glioma.
Li Z; Chen L; Song Y; Dai G; Duan L; Luo Y; Wang G; Xiao Q; Li G; Bai S
Quant Imaging Med Surg; 2023 Jan; 13(1):224-236. PubMed ID: 36620140
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. A multi-sequence and habitat-based MRI radiomics signature for preoperative prediction of MGMT promoter methylation in astrocytomas with prognostic implication.
Wei J; Yang G; Hao X; Gu D; Tan Y; Wang X; Dong D; Zhang S; Wang L; Zhang H; Tian J
Eur Radiol; 2019 Feb; 29(2):877-888. PubMed ID: 30039219
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]