150 related articles for article (PubMed ID: 37563940)
1. Simple Scoring Model Based on Enhanced CT in Preoperative Prediction of Biological Risk of Gastrointestinal Stromal Tumor.
Wang Y; Bai G; Zhang H; Chen W
Technol Cancer Res Treat; 2023; 22():15330338231194502. PubMed ID: 37563940
[No Abstract] [Full Text] [Related]
2. [Performance of the Combined Model Based on Both Clinicopathological and CT Texture Features in Predicting Liver Metastasis of High-risk Gastrointestinal Stromal Tumors].
Zheng J; Wang X; Xia Y; Jiang HT
Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2022 Feb; 44(1):53-59. PubMed ID: 35300765
[TBL] [Abstract][Full Text] [Related]
3. Predictive features of CT for risk stratifications in patients with primary gastrointestinal stromal tumour.
Zhou C; Duan X; Zhang X; Hu H; Wang D; Shen J
Eur Radiol; 2016 Sep; 26(9):3086-93. PubMed ID: 26699371
[TBL] [Abstract][Full Text] [Related]
4. [Clinical significance of the deep learning algorithm based on contrast-enhanced CT in the differential diagnosis of gastric gastrointestinal stromal tumors with a diameter ≤ 5 cm].
Gu JY; Shi HT; Yang LX; Shen YQ; Wang ZX; Feng Q; Wang M; Cao H
Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Sep; 24(9):796-803. PubMed ID: 34530561
[No Abstract] [Full Text] [Related]
5. 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]
6. [Correlation between the CT features and malignancy risk of small (≤5 cm) gastric stromal tumors].
Wang J; Xu JL; Hu HJ
Zhonghua Zhong Liu Za Zhi; 2017 Mar; 39(3):184-189. PubMed ID: 28316216
[No Abstract] [Full Text] [Related]
7. Relationship between multi-slice computed tomography features and pathological risk stratification assessment in gastric gastrointestinal stromal tumors.
Wang TT; Liu WW; Liu XH; Gao RJ; Zhu CY; Wang Q; Zhao LP; Fan XM; Li J
World J Gastrointest Oncol; 2023 Jun; 15(6):1073-1085. PubMed ID: 37389110
[TBL] [Abstract][Full Text] [Related]
8. Gastric sub-epithelial tumors: identification of gastrointestinal stromal tumors using CT with a practical scoring method.
Liu M; Liu L; Jin E
Gastric Cancer; 2019 Jul; 22(4):769-777. PubMed ID: 30535637
[TBL] [Abstract][Full Text] [Related]
9. Value of radiomics model based on enhanced computed tomography in risk grade prediction of gastrointestinal stromal tumors.
Chu H; Pang P; He J; Zhang D; Zhang M; Qiu Y; Li X; Lei P; Fan B; Xu R
Sci Rep; 2021 Jun; 11(1):12009. PubMed ID: 34103619
[TBL] [Abstract][Full Text] [Related]
10. Preoperative CT feature of incomplete overlying enhancing mucosa as a high-risk predictor in gastrointestinal stromal tumors of the stomach.
Peng G; Huang B; Yang X; Pang M; Li N
Eur Radiol; 2021 May; 31(5):3276-3285. PubMed ID: 33125563
[TBL] [Abstract][Full Text] [Related]
11. A scoring model for radiologic diagnosis of gastric leiomyomas (GLMs) with contrast-enhanced computed tomography (CE-CT): Differential diagnosis from gastrointestinal stromal tumors (GISTs).
Xu JX; Ding QL; Lu YF; Fan SF; Rao QP; Yu RS
Eur J Radiol; 2021 Jan; 134():109395. PubMed ID: 33310552
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Radiomics study for differentiating gastric cancer from gastric stromal tumor based on contrast-enhanced CT images.
Sun ZQ; Hu SD; Li J; Wang T; Duan SF; Wang J
J Xray Sci Technol; 2019; 27(6):1021-1031. PubMed ID: 31640109
[TBL] [Abstract][Full Text] [Related]
14. A CT-based nomogram for predicting the malignant potential of primary gastric gastrointestinal stromal tumors preoperatively.
Li C; Fu W; Huang L; Chen Y; Xiang P; Guan J; Sun C
Abdom Radiol (NY); 2021 Jul; 46(7):3075-3085. PubMed ID: 33713161
[TBL] [Abstract][Full Text] [Related]
15. Building contrast-enhanced CT-based models for preoperatively predicting malignant potential and Ki67 expression of small intestine gastrointestinal stromal tumors (GISTs).
Zhu MP; Ding QL; Xu JX; Jiang CY; Wang J; Wang C; Yu RS
Abdom Radiol (NY); 2022 Sep; 47(9):3161-3173. PubMed ID: 33765174
[TBL] [Abstract][Full Text] [Related]
16. A CT-based nomogram established for differentiating gastrointestinal heterotopic pancreas from gastrointestinal stromal tumor: compared with a machine-learning model.
Feng N; Chen HY; Wang XJ; Lu YF; Zhou JP; Zhou QM; Wang XB; Yu JN; Yu RS; Xu JX
BMC Med Imaging; 2023 Sep; 23(1):131. PubMed ID: 37715139
[TBL] [Abstract][Full Text] [Related]
17. Comparison of Computed Tomography Features of Gastric and Small Bowel Gastrointestinal Stromal Tumors With Different Risk Grades.
Tang B; Feng QX; Liu XS
J Comput Assist Tomogr; 2022 Mar-Apr 01; 46(2):175-182. PubMed ID: 35297574
[TBL] [Abstract][Full Text] [Related]
18. [Value of CT imaging in the differentiation of gastric leiomyomas from gastric stromal tumors].
Weng JW; Wang J; Li F; Xu JL; Hu HJ
Zhonghua Zhong Liu Za Zhi; 2017 Feb; 39(2):139-144. PubMed ID: 28219211
[No Abstract] [Full Text] [Related]
19. Prediction of Ki-67 expression in gastrointestinal stromal tumors using radiomics of plain and multiphase contrast-enhanced CT.
Liu Y; He C; Fang W; Peng L; Shi F; Xia Y; Zhou Q; Zhang R; Li C
Eur Radiol; 2023 Nov; 33(11):7609-7617. PubMed ID: 37266658
[TBL] [Abstract][Full Text] [Related]
20. Gastrointestinal stromal tumors: relationship between preoperative CT features and pathologic risk stratification.
Grazzini G; Guerri S; Cozzi D; Danti G; Gasperoni S; Pradella S; Miele V
Tumori; 2021 Dec; 107(6):556-563. PubMed ID: 33620027
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]