198 related articles for article (PubMed ID: 37148481)
1. Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features.
Lin JX; Wang FH; Wang ZK; Wang JB; Zheng CH; Li P; Huang CM; Xie JW
Radiol Med; 2023 Jun; 128(6):644-654. PubMed ID: 37148481
[TBL] [Abstract][Full Text] [Related]
2. Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features.
Wang FH; Zheng HL; Li JT; Li P; Zheng CH; Chen QY; Huang CM; Xie JW
Radiol Med; 2022 Oct; 127(10):1085-1097. PubMed ID: 36057930
[TBL] [Abstract][Full Text] [Related]
3. Radiomics Nomogram Based on Contrast-enhanced CT to Predict the Malignant Potential of Gastrointestinal Stromal Tumor: A Two-center Study.
Song Y; Li J; Wang H; Liu B; Yuan C; Liu H; Zheng Z; Min F; Li Y
Acad Radiol; 2022 Jun; 29(6):806-816. PubMed ID: 34238656
[TBL] [Abstract][Full Text] [Related]
4. Predictive Value of a Radiomics Nomogram Model Based on Contrast-Enhanced Computed Tomography for KIT Exon 9 Gene Mutation in Gastrointestinal Stromal Tumors.
Wei Y; Lu Z; Ren Y
Technol Cancer Res Treat; 2023; 22():15330338231181260. PubMed ID: 37296525
[TBL] [Abstract][Full Text] [Related]
5. MRI Texture-Based Models for Predicting Mitotic Index and Risk Classification of Gastrointestinal Stromal Tumors.
Yang L; Zheng T; Dong Y; Wang Z; Liu D; Du J; Wu S; Shi Q; Liu L
J Magn Reson Imaging; 2021 Apr; 53(4):1054-1065. PubMed ID: 33037745
[TBL] [Abstract][Full Text] [Related]
6. Personalized CT-based radiomics nomogram preoperative predicting Ki-67 expression in gastrointestinal stromal tumors: a multicenter development and validation cohort.
Zhang QW; Gao YJ; Zhang RY; Zhou XX; Chen SL; Zhang Y; Liu Q; Xu JR; Ge ZZ
Clin Transl Med; 2020 Jan; 9(1):12. PubMed ID: 32006200
[TBL] [Abstract][Full Text] [Related]
7. Building CT Radiomics-Based Models for Preoperatively Predicting Malignant Potential and Mitotic Count of Gastrointestinal Stromal Tumors.
Wang C; Li H; Jiaerken Y; Huang P; Sun L; Dong F; Huang Y; Dong D; Tian J; Zhang M
Transl Oncol; 2019 Sep; 12(9):1229-1236. PubMed ID: 31280094
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a nomogram based on CT images and 3D texture analysis for preoperative prediction of the malignant potential in gastrointestinal stromal tumors.
Ren C; Wang S; Zhang S
Cancer Imaging; 2020 Jan; 20(1):5. PubMed ID: 31931874
[TBL] [Abstract][Full Text] [Related]
9. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
[TBL] [Abstract][Full Text] [Related]
10. A Clinical-Radiomic Nomogram Based on Unenhanced Computed Tomography for Predicting the Risk of Aldosterone-Producing Adenoma.
He K; Zhang ZT; Wang ZH; Wang Y; Wang YX; Zhang HZ; Dong YF; Xiao XL
Front Oncol; 2021; 11():634879. PubMed ID: 34307119
[TBL] [Abstract][Full Text] [Related]
11. Combined model based on enhanced CT texture features in liver metastasis prediction of high-risk gastrointestinal stromal tumors.
Zheng J; Xia Y; Xu A; Weng X; Wang X; Jiang H; Li Q; Li F
Abdom Radiol (NY); 2022 Jan; 47(1):85-93. PubMed ID: 34705087
[TBL] [Abstract][Full Text] [Related]
12. Preoperative prediction for lauren type of gastric cancer: A radiomics nomogram analysis based on CT images and clinical features.
Sun Z; Jin L; Zhang S; Duan S; Xing W; Hu S
J Xray Sci Technol; 2021; 29(4):675-686. PubMed ID: 34024809
[TBL] [Abstract][Full Text] [Related]
13. CT-based radiomic nomogram for preoperative prediction of DNA mismatch repair deficiency in gastric cancer.
Zeng Q; Zhu Y; Li L; Feng Z; Shu X; Wu A; Luo L; Cao Y; Tu Y; Xiong J; Zhou F; Li Z
Front Oncol; 2022; 12():883109. PubMed ID: 36185292
[TBL] [Abstract][Full Text] [Related]
14. CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study.
Gu D; Hu Y; Ding H; Wei J; Chen K; Liu H; Zeng M; Tian J
Eur Radiol; 2019 Dec; 29(12):6880-6890. PubMed ID: 31227882
[TBL] [Abstract][Full Text] [Related]
15. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
[TBL] [Abstract][Full Text] [Related]
16. Computed tomography-based radiomics model for discriminating the risk stratification of gastrointestinal stromal tumors.
Zhang L; Kang L; Li G; Zhang X; Ren J; Shi Z; Li J; Yu S
Radiol Med; 2020 May; 125(5):465-473. PubMed ID: 32048155
[TBL] [Abstract][Full Text] [Related]
17. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
18. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
[TBL] [Abstract][Full Text] [Related]
19. Preoperative computed tomography-guided disease-free survival prediction in gastric cancer: a multicenter radiomics study.
Wang S; Feng C; Dong D; Li H; Zhou J; Ye Y; Liu Z; Tian J; Wang Y
Med Phys; 2020 Oct; 47(10):4862-4871. PubMed ID: 32592224
[TBL] [Abstract][Full Text] [Related]
20. A Comprehensive Nomogram Combining CT Imaging with Clinical Features for Prediction of Lymph Node Metastasis in Stage I-IIIB Non-small Cell Lung Cancer.
Zheng X; Shao J; Zhou L; Wang L; Ge Y; Wang G; Feng F
Ther Innov Regul Sci; 2022 Jan; 56(1):155-167. PubMed ID: 34699046
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]