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.
298 related articles for article (PubMed ID: 31799873)
1. MRI Radiomics Analysis for Predicting the Pathologic Classification and TNM Staging of Thymic Epithelial Tumors: A Pilot Study. Xiao G; Rong WC; Hu YC; Shi ZQ; Yang Y; Ren JL; Cui GB AJR Am J Roentgenol; 2020 Feb; 214(2):328-340. PubMed ID: 31799873 [No Abstract] [Full Text] [Related]
2. Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging. Shen Q; Shan Y; Xu W; Hu G; Chen W; Feng Z; Pang P; Ding Z; Cai W Eur Radiol; 2021 Jan; 31(1):423-435. PubMed ID: 32757051 [TBL] [Abstract][Full Text] [Related]
3. MR imaging of thymomas: a combined radiomics nomogram to predict histologic subtypes. Xiao G; Hu YC; Ren JL; Qin P; Han JC; Qu XY; Rong WC; Yan WQ; Tian Q; Han Y; Wang WP; Wang SM; Ma J; Wang W; Cui GB Eur Radiol; 2021 Jan; 31(1):447-457. PubMed ID: 32700020 [TBL] [Abstract][Full Text] [Related]
4. Development and validation of a deep learning radiomics nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. Chen X; Feng B; Xu K; Chen Y; Duan X; Jin Z; Li K; Li R; Long W; Liu X Eur Radiol; 2023 Oct; 33(10):6804-6816. PubMed ID: 37148352 [TBL] [Abstract][Full Text] [Related]
5. A nomogram for predicting recurrence after complete resection for thymic epithelial tumors based on the TNM classification: A multi-institutional retrospective analysis. Yun JK; Lee GD; Kim HR; Kim DK; Zo JI; Shim YM; Kang CH; Kim YT; Paik HC; Chung KY; J Surg Oncol; 2019 Jun; 119(8):1161-1169. PubMed ID: 30919992 [TBL] [Abstract][Full Text] [Related]
6. A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography. Chen X; Feng B; Li C; Duan X; Chen Y; Li Z; Liu Z; Zhang C; Long W Oncol Rep; 2020 Apr; 43(4):1256-1266. PubMed ID: 32323834 [TBL] [Abstract][Full Text] [Related]
8. Computed tomography radiomics for the prediction of thymic epithelial tumor histology, TNM stage and myasthenia gravis. Blüthgen C; Patella M; Euler A; Baessler B; Martini K; von Spiczak J; Schneiter D; Opitz I; Frauenfelder T PLoS One; 2021; 16(12):e0261401. PubMed ID: 34928978 [TBL] [Abstract][Full Text] [Related]
9. Development and validation of a CT-texture analysis nomogram for preoperatively differentiating thymic epithelial tumor histologic subtypes. Ren C; Li M; Zhang Y; Zhang S Cancer Imaging; 2020 Dec; 20(1):86. PubMed ID: 33308325 [TBL] [Abstract][Full Text] [Related]
10. Computed tomography radiomic feature analysis of thymic epithelial tumors: Differentiation of thymic epithelial tumors from thymic cysts and prediction of histological subtypes. Zhao W; Ozawa Y; Hara M; Okuda K; Hiwatashi A Jpn J Radiol; 2024 Apr; 42(4):367-373. PubMed ID: 38010596 [TBL] [Abstract][Full Text] [Related]
11. Assessment of the ITMIG Statement on the WHO Histological Classification and of the Eighth TNM Staging of Thymic Epithelial Tumors of a Series of 188 Thymic Epithelial Tumors. Meurgey A; Girard N; Merveilleux du Vignaux C; Maury JM; Tronc F; Thivolet-Bejui F; Chalabreysse L J Thorac Oncol; 2017 Oct; 12(10):1571-1581. PubMed ID: 28694035 [TBL] [Abstract][Full Text] [Related]
12. Deep learning-based radiomic nomogram to predict risk categorization of thymic epithelial tumors: A multicenter study. Zhou H; Bai HX; Jiao Z; Cui B; Wu J; Zheng H; Yang H; Liao W Eur J Radiol; 2023 Nov; 168():111136. PubMed ID: 37832194 [TBL] [Abstract][Full Text] [Related]
13. CT Radiomic Features for Predicting Resectability and TNM Staging in Thymic Epithelial Tumors. Araujo-Filho JAB; Mayoral M; Zheng J; Tan KS; Gibbs P; Shepherd AF; Rimner A; Simone CB; Riely G; Huang J; Ginsberg MS Ann Thorac Surg; 2022 Mar; 113(3):957-965. PubMed ID: 33844992 [TBL] [Abstract][Full Text] [Related]
14. Optimizing the radiomics-machine-learning model based on non-contrast enhanced CT for the simplified risk categorization of thymic epithelial tumors: A large cohort retrospective study. Feng XL; Wang SZ; Chen HH; Huang YX; Xin YK; Zhang T; Cheng DL; Mao L; Li XL; Liu CX; Hu YC; Wang W; Cui GB; Nan HY Lung Cancer; 2022 Apr; 166():150-160. PubMed ID: 35287067 [TBL] [Abstract][Full Text] [Related]
15. Machine-learning-based computed tomography radiomic analysis for histologic subtype classification of thymic epithelial tumours. Hu J; Zhao Y; Li M; Liu Y; Wang F; Weng Q; You R; Cao D Eur J Radiol; 2020 May; 126():108929. PubMed ID: 32169748 [TBL] [Abstract][Full Text] [Related]
16. Is (18)F-FDG PET useful in predicting the WHO grade of malignancy in thymic epithelial tumors? A meta-analysis. Treglia G; Sadeghi R; Giovanella L; Cafarotti S; Filosso P; Lococo F Lung Cancer; 2014 Oct; 86(1):5-13. PubMed ID: 25175317 [TBL] [Abstract][Full Text] [Related]
17. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study. Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729 [TBL] [Abstract][Full Text] [Related]
18. Intravoxel incoherent motion diffusion-weighted MR imaging parameters predict pathological classification in thymic epithelial tumors. Li GF; Duan SJ; Yan LF; Wang W; Jing Y; Yan WQ; Sun Q; Wang SM; Nan HY; Xu TY; Zheng DD; Hu YC; Cui GB Oncotarget; 2017 Jul; 8(27):44579-44592. PubMed ID: 28574817 [TBL] [Abstract][Full Text] [Related]
19. Radiomics nomogram for predicting the malignant potential of gastrointestinal stromal tumours preoperatively. Chen T; Ning Z; Xu L; Feng X; Han S; Roth HR; Xiong W; Zhao X; Hu Y; Liu H; Yu J; Zhang Y; Li Y; Xu Y; Mori K; Li G Eur Radiol; 2019 Mar; 29(3):1074-1082. PubMed ID: 30116959 [TBL] [Abstract][Full Text] [Related]
20. Predicting pathological subtypes and stages of thymic epithelial tumors using DWI: value of combining ADC and texture parameters. Li B; Xin YK; Xiao G; Li GF; Duan SJ; Han Y; Feng XL; Yan WQ; Rong WC; Wang SM; Hu YC; Cui GB Eur Radiol; 2019 Oct; 29(10):5330-5340. PubMed ID: 30877464 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]