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.
198 related articles for article (PubMed ID: 34307164)
21. 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]
22. Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation. Golia Pernicka JS; Gagniere J; Chakraborty J; Yamashita R; Nardo L; Creasy JM; Petkovska I; Do RRK; Bates DDB; Paroder V; Gonen M; Weiser MR; Simpson AL; Gollub MJ Abdom Radiol (NY); 2019 Nov; 44(11):3755-3763. PubMed ID: 31250180 [TBL] [Abstract][Full Text] [Related]
23. Preoperative Prediction of Extramural Venous Invasion in Rectal Cancer: Comparison of the Diagnostic Efficacy of Radiomics Models and Quantitative Dynamic Contrast-Enhanced Magnetic Resonance Imaging. Yu X; Song W; Guo D; Liu H; Zhang H; He X; Song J; Zhou J; Liu X Front Oncol; 2020; 10():459. PubMed ID: 32328461 [No Abstract] [Full Text] [Related]
24. A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics. Jiang Z; Xie W; Zhou X; Pan W; Jiang S; Zhang X; Zhang M; Zhang Z; Lu Y; Wang D Insights Imaging; 2023 Jun; 14(1):104. PubMed ID: 37286810 [TBL] [Abstract][Full Text] [Related]
25. Efficiency of CT radiomics model in assessing the microsatellite instability of colorectal cancer liver metastasis. Wang Y; Ma L; Guo H; Wang X; Ye Z; Fan S; Gao B; Yin XP Curr Med Imaging; 2023 Aug; ():. PubMed ID: 37622558 [TBL] [Abstract][Full Text] [Related]
26. Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2. Chen T; Li M; Gu Y; Zhang Y; Yang S; Wei C; Wu J; Li X; Zhao W; Shen J J Magn Reson Imaging; 2019 Mar; 49(3):875-884. PubMed ID: 30230108 [TBL] [Abstract][Full Text] [Related]
27. Non-Invasive Prediction of Survival Time of Midline Glioma Patients Using Machine Learning on Multiparametric MRI Radiomics Features. Deng DB; Liao YT; Zhou JF; Cheng LN; He P; Wu SN; Wang WS; Zhou Q Front Neurol; 2022; 13():866274. PubMed ID: 35585843 [TBL] [Abstract][Full Text] [Related]
28. [Preoperative evaluation of histologic grade in invasive breast cancer with T2W-MRI based radiomics signature]. Huang Y; Cheng Z; Huang X; Liang C; Liang C; Liu Z Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Mar; 44(3):285-289. PubMed ID: 30971521 [TBL] [Abstract][Full Text] [Related]
29. Radiomics features based on internal and marginal areas of the tumor for the preoperative prediction of microsatellite instability status in colorectal cancer. Ma Y; Lin C; Liu S; Wei Y; Ji C; Shi F; Lin F; Zhou Z Front Oncol; 2022; 12():1020349. PubMed ID: 36276101 [TBL] [Abstract][Full Text] [Related]
30. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics. Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770 [TBL] [Abstract][Full Text] [Related]
31. An MRI-based multi-objective radiomics model predicts lymph node status in patients with rectal cancer. Li J; Zhou Y; Wang X; Zhou M; Chen X; Luan K Abdom Radiol (NY); 2021 May; 46(5):1816-1824. PubMed ID: 33241428 [TBL] [Abstract][Full Text] [Related]
32. Invasive ductal breast cancer: preoperative predict Ki-67 index based on radiomics of ADC maps. Zhang Y; Zhu Y; Zhang K; Liu Y; Cui J; Tao J; Wang Y; Wang S Radiol Med; 2020 Feb; 125(2):109-116. PubMed ID: 31696388 [TBL] [Abstract][Full Text] [Related]
33. Multiparametric MRI-based radiomics signature for preoperative estimation of tumor-stroma ratio in rectal cancer. Cai C; Hu T; Gong J; Huang D; Liu F; Fu C; Tong T Eur Radiol; 2021 May; 31(5):3326-3335. PubMed ID: 33180166 [TBL] [Abstract][Full Text] [Related]
34. [Radiomics nomogram of MR: a prediction of cervical lymph node metastasis in laryngeal cancer]. Jia CL; Cao Y; Song Q; Zhang WB; Li JJ; Wu XX; Yu PY; Mou YK; Mao N; Song XC Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Dec; 55(12):1154-1161. PubMed ID: 33342131 [No Abstract] [Full Text] [Related]
35. Nonenhanced MRI-based radiomics model for preoperative prediction of nonperfused volume ratio for high-intensity focused ultrasound ablation of uterine leiomyomas. Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F Int J Hyperthermia; 2021; 38(1):1349-1358. PubMed ID: 34486913 [TBL] [Abstract][Full Text] [Related]
36. MRI-based traditional radiomics and computer-vision nomogram for predicting lymphovascular space invasion in endometrial carcinoma. Long L; Sun J; Jiang L; Hu Y; Li L; Tan Y; Cao M; Lan X; Zhang J Diagn Interv Imaging; 2021; 102(7-8):455-462. PubMed ID: 33741266 [TBL] [Abstract][Full Text] [Related]
37. Rectal wall MRI radiomics in prostate cancer patients: prediction of and correlation with early rectal toxicity. Abdollahi H; Mahdavi SR; Mofid B; Bakhshandeh M; Razzaghdoust A; Saadipoor A; Tanha K Int J Radiat Biol; 2018 Sep; 94(9):829-837. PubMed ID: 29969358 [TBL] [Abstract][Full Text] [Related]
38. A Novel Multimodal Radiomics Model for Preoperative Prediction of Lymphovascular Invasion in Rectal Cancer. Zhang Y; He K; Guo Y; Liu X; Yang Q; Zhang C; Xie Y; Mu S; Guo Y; Fu Y; Zhang H Front Oncol; 2020; 10():457. PubMed ID: 32328460 [No Abstract] [Full Text] [Related]
39. Machine Learning-Based Integration of Prognostic Magnetic Resonance Imaging Biomarkers for Myometrial Invasion Stratification in Endometrial Cancer. Rodríguez-Ortega A; Alegre A; Lago V; Carot-Sierra JM; Ten-Esteve A; Montoliu G; Domingo S; Alberich-Bayarri Á; Martí-Bonmatí L J Magn Reson Imaging; 2021 Sep; 54(3):987-995. PubMed ID: 33793008 [TBL] [Abstract][Full Text] [Related]
40. Multiparametric MRI-based Radiomics approaches on predicting response to neoadjuvant chemoradiotherapy (nCRT) in patients with rectal cancer. Cheng Y; Luo Y; Hu Y; Zhang Z; Wang X; Yu Q; Liu G; Cui E; Yu T; Jiang X Abdom Radiol (NY); 2021 Nov; 46(11):5072-5085. PubMed ID: 34302510 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]