These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
188 related articles for article (PubMed ID: 37064158)
1. Automatic tumor segmentation and metachronous single-organ metastasis prediction of nasopharyngeal carcinoma patients based on multi-sequence magnetic resonance imaging. Huang Y; Zhu Y; Yang Q; Luo Y; Zhang P; Yang X; Ren J; Ren Y; Lang J; Xu G Front Oncol; 2023; 13():953893. PubMed ID: 37064158 [TBL] [Abstract][Full Text] [Related]
2. 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 Jul; 42(7):709-719. PubMed ID: 38409300 [TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and validation of a prediction model for malignant sinonasal tumors based on MR radiomics and machine learning. Wang Y; Han Q; Wen B; Yang B; Zhang C; Song Y; Zhang L; Xian J Eur Radiol; 2024 Aug; ():. PubMed ID: 39210161 [TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. 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]
8. The Effect of Magnetic Resonance Imaging Based Radiomics Models in Discriminating stage I-II and III-IVa Nasopharyngeal Carcinoma. Li Q; Yu Q; Gong B; Ning Y; Chen X; Gu J; Lv F; Peng J; Luo T Diagnostics (Basel); 2023 Jan; 13(2):. PubMed ID: 36673110 [TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. 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]
12. Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma. Mao J; Fang J; Duan X; Yang Z; Cao M; Zhang F; Lu L; Zhang X; Wu X; Ding Y; Shen J Eur Radiol; 2019 Aug; 29(8):4105-4113. PubMed ID: 30617473 [TBL] [Abstract][Full Text] [Related]
13. Applying multisequence MRI radiomics of the primary tumor and lymph node to predict HPV-related p16 status in patients with oropharyngeal squamous cell carcinoma. Li Q; Xu T; Gong J; Xiang S; Shen C; Zhou X; Hu C; Wu B; Lu X Quant Imaging Med Surg; 2023 Apr; 13(4):2234-2247. PubMed ID: 37064405 [TBL] [Abstract][Full Text] [Related]
14. 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]
15. Radiomics based on pretreatment MRI for predicting distant metastasis of nasopharyngeal carcinoma: A preliminary study. Jiang T; Tan Y; Nan S; Wang F; Chen W; Wei Y; Liu T; Qin W; Lu F; Jiang F; Jiang H Front Oncol; 2022; 12():975881. PubMed ID: 36016603 [TBL] [Abstract][Full Text] [Related]
16. The contrast-enhanced MRI can be substituted by unenhanced MRI in identifying and automatically segmenting primary nasopharyngeal carcinoma with the aid of deep learning models: An exploratory study in large-scale population of endemic area. Deng Y; Li C; Lv X; Xia W; Shen L; Jing B; Li B; Guo X; Sun Y; Xie C; Ke L Comput Methods Programs Biomed; 2022 Apr; 217():106702. PubMed ID: 35228147 [TBL] [Abstract][Full Text] [Related]
17. A transformer-based multi-task deep learning model for simultaneous T-stage identification and segmentation of nasopharyngeal carcinoma. Yang K; Dong X; Tang F; Ye F; Chen B; Liang S; Zhang Y; Xu Y Front Oncol; 2024; 14():1377366. PubMed ID: 38947898 [TBL] [Abstract][Full Text] [Related]
18. Diagnostic efficiency of multi-modal MRI based deep learning with Sobel operator in differentiating benign and malignant breast mass lesions-a retrospective study. Tang W; Zhang M; Xu C; Shao Y; Tang J; Gong S; Dong H; Sheng M PeerJ Comput Sci; 2023; 9():e1460. PubMed ID: 37547396 [TBL] [Abstract][Full Text] [Related]
19. Whole-Tumor Histogram and Texture Imaging Features on Magnetic Resonance Imaging Combined With Epstein-Barr Virus Status to Predict Disease Progression in Patients With Nasopharyngeal Carcinoma. Li Q; Wang T; Huang Y; Li Q; Liu P; Grimm R; Fu C; Zhang Y; Gu Y Front Oncol; 2021; 11():610804. PubMed ID: 33767984 [No Abstract] [Full Text] [Related]
20. MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma. Zhang L; Wu X; Liu J; Zhang B; Mo X; Chen Q; Fang J; Wang F; Li M; Chen Z; Liu S; Chen L; You J; Jin Z; Tang B; Dong D; Zhang S J Magn Reson Imaging; 2021 Jan; 53(1):167-178. PubMed ID: 32776391 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]