305 related articles for article (PubMed ID: 35090572)
1. Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment.
Bao D; Liu Z; Geng Y; Li L; Xu H; Zhang Y; Hu L; Zhao X; Zhao Y; Luo D
Cancer Imaging; 2022 Jan; 22(1):10. PubMed ID: 35090572
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. MRI-Based Back Propagation Neural Network Model as a Powerful Tool for Predicting the Response to Induction Chemotherapy in Locoregionally Advanced Nasopharyngeal Carcinoma.
Liao H; Chen X; Lu S; Jin G; Pei W; Li Y; Wei Y; Huang X; Wang C; Liang X; Bao H; Liu L; Su D
J Magn Reson Imaging; 2022 Aug; 56(2):547-559. PubMed ID: 34970824
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Development and validation of an MRI-based radiomic model for predicting overall survival in nasopharyngeal carcinoma patients with local residual tumors after intensity-modulated radiotherapy.
Jiang S; Han L; Liang L; Long L
BMC Med Imaging; 2022 Oct; 22(1):174. PubMed ID: 36195860
[TBL] [Abstract][Full Text] [Related]
7. Intra- and peritumoral MRI radiomics assisted in predicting radiochemotherapy response in metastatic cervical lymph nodes of nasopharyngeal cancer.
Xu H; Wang A; Zhang C; Ren J; Zhou P; Liu J
BMC Med Imaging; 2023 May; 23(1):66. PubMed ID: 37254101
[TBL] [Abstract][Full Text] [Related]
8. Differences in Radiomics Signatures Between Patients with Early and Advanced T-Stage Nasopharyngeal Carcinoma Facilitate Prognostication.
Wu S; Li H; Dong A; Tian L; Ruan G; Liu L; Shao Y
J Magn Reson Imaging; 2021 Sep; 54(3):854-865. PubMed ID: 33830573
[TBL] [Abstract][Full Text] [Related]
9. A nomogram model based on pre-treatment and post-treatment MR imaging radiomics signatures: application to predict progression-free survival for nasopharyngeal carcinoma.
Sun MX; Zhao MJ; Zhao LH; Jiang HR; Duan YX; Li G
Radiat Oncol; 2023 Apr; 18(1):67. PubMed ID: 37041545
[TBL] [Abstract][Full Text] [Related]
10. Radiomic analysis of MRI for prediction of response to induction chemotherapy in nasopharyngeal carcinoma patients.
Wang A; Xu H; Zhang C; Ren J; Liu J; Zhou P
Clin Radiol; 2023 Sep; 78(9):e644-e653. PubMed ID: 37331848
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. MRI-based radiomics nomogram may predict the response to induction chemotherapy and survival in locally advanced nasopharyngeal carcinoma.
Zhao L; Gong J; Xi Y; Xu M; Li C; Kang X; Yin Y; Qin W; Yin H; Shi M
Eur Radiol; 2020 Jan; 30(1):537-546. PubMed ID: 31372781
[TBL] [Abstract][Full Text] [Related]
13. Cervical spine osteoradionecrosis or bone metastasis after radiotherapy for nasopharyngeal carcinoma? The MRI-based radiomics for characterization.
Zhong X; Li L; Jiang H; Yin J; Lu B; Han W; Li J; Zhang J
BMC Med Imaging; 2020 Sep; 20(1):104. PubMed ID: 32873238
[TBL] [Abstract][Full Text] [Related]
14. Radiomics Features of Multiparametric MRI as Novel Prognostic Factors in Advanced Nasopharyngeal Carcinoma.
Zhang B; Tian J; Dong D; Gu D; Dong Y; Zhang L; Lian Z; Liu J; Luo X; Pei S; Mo X; Huang W; Ouyang F; Guo B; Liang L; Chen W; Liang C; Zhang S
Clin Cancer Res; 2017 Aug; 23(15):4259-4269. PubMed ID: 28280088
[No Abstract] [Full Text] [Related]
15. Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study.
Zhang L; Dong D; Li H; Tian J; Ouyang F; Mo X; Zhang B; Luo X; Lian Z; Pei S; Dong Y; Huang W; Liang C; Liu J; Zhang S
EBioMedicine; 2019 Feb; 40():327-335. PubMed ID: 30642750
[TBL] [Abstract][Full Text] [Related]
16. Prediction of Changes in Tumor Regression during Radiotherapy for Nasopharyngeal Carcinoma by Using the Computed Tomography-Based Radiomics.
Yang Y; Wu J; Mai W; Li H
Contrast Media Mol Imaging; 2022; 2022():3417480. PubMed ID: 36226269
[TBL] [Abstract][Full Text] [Related]
17. Pretreatment MRI-Derived Radiomics May Evaluate the Response of Different Induction Chemotherapy Regimens in Locally advanced Nasopharyngeal Carcinoma.
Zhang L; Ye Z; Ruan L; Jiang M
Acad Radiol; 2020 Dec; 27(12):1655-1664. PubMed ID: 33004261
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. A multidimensional nomogram combining overall stage, dose volume histogram parameters and radiomics to predict progression-free survival in patients with locoregionally advanced nasopharyngeal carcinoma.
Yang K; Tian J; Zhang B; Li M; Xie W; Zou Y; Tan Q; Liu L; Zhu J; Shou A; Li G
Oral Oncol; 2019 Nov; 98():85-91. PubMed ID: 31569054
[TBL] [Abstract][Full Text] [Related]
20. Radiomics on multi-modalities MR sequences can subtype patients with non-metastatic nasopharyngeal carcinoma (NPC) into distinct survival subgroups.
Zhuo EH; Zhang WJ; Li HJ; Zhang GY; Jing BZ; Zhou J; Cui CY; Chen MY; Sun Y; Liu LZ; Cai HM
Eur Radiol; 2019 Oct; 29(10):5590-5599. PubMed ID: 30874880
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]