121 related articles for article (PubMed ID: 38887926)
1. A pretreatment multiparametric MRI-based radiomics-clinical machine learning model for predicting radiation-induced temporal lobe injury in patients with nasopharyngeal carcinoma.
Wang L; Qiu T; Zhou J; Zhu Y; Sun B; Yang G; Huang S; Wu L; He X
Head Neck; 2024 Jun; ():. PubMed ID: 38887926
[TBL] [Abstract][Full Text] [Related]
2. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
[TBL] [Abstract][Full Text] [Related]
3. A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
Bao D; Zhao Y; Li L; Lin M; Zhu Z; Yuan M; Zhong H; Xu H; Zhao X; Luo D
Eur Radiol; 2022 Oct; 32(10):6910-6921. PubMed ID: 35639143
[TBL] [Abstract][Full Text] [Related]
4. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma.
Bin X; Zhu C; Tang Y; Li R; Ding Q; Xia W; Tang Y; Tang X; Yao D; Tang A
Clin Oncol (R Coll Radiol); 2022 Dec; 34(12):e482-e492. PubMed ID: 36008245
[TBL] [Abstract][Full Text] [Related]
5. MRI-based radiomics models for the early prediction of radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
Huang L; Yang Z; Zeng Z; Ren H; Jiang M; Hu Y; Xu Y; Zhang H; Ma K; Long L
Front Neurol; 2023; 14():1135978. PubMed ID: 37006478
[TBL] [Abstract][Full Text] [Related]
6. MRI-based radiomics models predict cystic brain radionecrosis of nasopharyngeal carcinoma after intensity modulated radiotherapy.
Hou J; He Y; Li H; Lu Q; Lin H; Zeng B; Xie C; Yu X
Front Neurol; 2024; 15():1344324. PubMed ID: 38872826
[TBL] [Abstract][Full Text] [Related]
7. MRI-based clinical radiomics nomogram may predict the early response after concurrent chemoradiotherapy in locally advanced nasopharyngeal carcinoma.
Wu M; Xu W; Fei Y; Li Y; Yuan J; Qiu L; Zhang Y; Chen G; Cheng Y; Cao Y; Sun X; Zhou S
Front Oncol; 2023; 13():1192953. PubMed ID: 37256173
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. [Preoperative prediction of HER-2 expression status in breast cancer based on MRI radiomics model].
Zhang Y; Huang H; Yin L; Wang ZX; Lu SY; Wang XX; Xiang LL; Zhang Q; Zhang JL; Shan XH
Zhonghua Zhong Liu Za Zhi; 2024 May; 46(5):428-437. PubMed ID: 38742356
[No Abstract] [Full Text] [Related]
10. Magnetic resonance imaging-based radiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy.
Bao D; Zhao Y; Liu Z; Xu H; Zhang Y; Yuan M; Li L; Lin M; Zhao X; Luo D
Head Neck; 2022 Dec; 44(12):2842-2853. PubMed ID: 36161397
[TBL] [Abstract][Full Text] [Related]
11. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C
Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146
[TBL] [Abstract][Full Text] [Related]
12. Glioma grading prediction using multiparametric magnetic resonance imaging-based radiomics combined with proton magnetic resonance spectroscopy and diffusion tensor imaging.
Lin K; Cidan W; Qi Y; Wang X
Med Phys; 2022 Jul; 49(7):4419-4429. PubMed ID: 35366379
[TBL] [Abstract][Full Text] [Related]
13. Comparison of preoperative CT- and MRI-based multiparametric radiomics in the prediction of lymph node metastasis in rectal cancer.
Niu Y; Yu X; Wen L; Bi F; Jian L; Liu S; Yang Y; Zhang Y; Lu Q
Front Oncol; 2023; 13():1230698. PubMed ID: 38074652
[TBL] [Abstract][Full Text] [Related]
14. Preoperative Prediction of Perineural Invasion Status of Rectal Cancer Based on Radiomics Nomogram of Multiparametric Magnetic Resonance Imaging.
Zhang Y; Peng J; Liu J; Ma Y; Shu Z
Front Oncol; 2022; 12():828904. PubMed ID: 35480114
[TBL] [Abstract][Full Text] [Related]
15. Application Value of Magnetic Resonance Radiomics and Clinical Nomograms in Evaluating the Sensitivity of Neoadjuvant Chemotherapy for Nasopharyngeal Carcinoma.
Hu C; Zheng D; Cao X; Pang P; Fang Y; Lu T; Chen Y
Front Oncol; 2021; 11():740776. PubMed ID: 34790570
[TBL] [Abstract][Full Text] [Related]
16. Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
Hu Q; Wang G; Song X; Wan J; Li M; Zhang F; Chen Q; Cao X; Li S; Wang Y
Cancers (Basel); 2022 Jun; 14(13):. PubMed ID: 35804973
[TBL] [Abstract][Full Text] [Related]
17. Preoperative Cervical Lymph Node Metastasis Prediction in Papillary Thyroid Carcinoma: A Noninvasive Clinical Multimodal Radiomics (CMR) Nomogram Analysis.
Hu W; Zhuang Y; Tang L; Chen H; Wang H; Wei R; Wang L; Ding Y; Xie X; Ge Y; Wu PY; Song B
J Oncol; 2023; 2023():3270137. PubMed ID: 36936372
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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]
20. Multiparametric MRI-based radiomics model for predicting human papillomavirus status in oropharyngeal squamous cell carcinoma: optimization using oversampling and machine learning techniques.
Sim Y; Kim M; Kim J; Lee SK; Han K; Sohn B
Eur Radiol; 2024 May; 34(5):3102-3112. PubMed ID: 37848774
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]