136 related articles for article (PubMed ID: 34304383)
1. Performance of quantitative CT texture analysis in differentiation of gastric tumors.
Zeydanli T; Kilic HK
Jpn J Radiol; 2022 Jan; 40(1):56-65. PubMed ID: 34304383
[TBL] [Abstract][Full Text] [Related]
2. Texture-based classification of different gastric tumors at contrast-enhanced CT.
Ba-Ssalamah A; Muin D; Schernthaner R; Kulinna-Cosentini C; Bastati N; Stift J; Gore R; Mayerhoefer ME
Eur J Radiol; 2013 Oct; 82(10):e537-43. PubMed ID: 23910996
[TBL] [Abstract][Full Text] [Related]
3. Tumor Heterogeneity in Human Epidermal Growth Factor Receptor 2 (HER2)-Positive Advanced Gastric Cancer Assessed by CT Texture Analysis: Association with Survival after Trastuzumab Treatment.
Yoon SH; Kim YH; Lee YJ; Park J; Kim JW; Lee HS; Kim B
PLoS One; 2016; 11(8):e0161278. PubMed ID: 27517841
[TBL] [Abstract][Full Text] [Related]
4. [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]
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. Can texture features improve the differentiation of infiltrative lung adenocarcinoma appearing as ground glass nodules in contrast-enhanced CT?
Gao C; Xiang P; Ye J; Pang P; Wang S; Xu M
Eur J Radiol; 2019 Aug; 117():126-131. PubMed ID: 31307637
[TBL] [Abstract][Full Text] [Related]
8. [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]
9. Could texture features from preoperative CT image be used for predicting occult peritoneal carcinomatosis in patients with advanced gastric cancer?
Kim HY; Kim YH; Yun G; Chang W; Lee YJ; Kim B
PLoS One; 2018; 13(3):e0194755. PubMed ID: 29596522
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. [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]
12. Application of preoperative CT texture analysis in papillary gastric adenocarcinoma.
Xu M; Qiao X; Li L; Liu S; Zhou Z
BMC Cancer; 2022 Nov; 22(1):1161. PubMed ID: 36357844
[TBL] [Abstract][Full Text] [Related]
13. Preoperative CT texture analysis of gastric cancer: correlations with postoperative TNM staging.
Liu S; Shi H; Ji C; Zheng H; Pan X; Guan W; Chen L; Sun Y; Tang L; Guan Y; Li W; Ge Y; He J; Liu S; Zhou Z
Clin Radiol; 2018 Aug; 73(8):756.e1-756.e9. PubMed ID: 29625746
[TBL] [Abstract][Full Text] [Related]
14. Differentiation of large (≥ 5 cm) gastrointestinal stromal tumors from benign subepithelial tumors in the stomach: radiologists' performance using CT.
Choi YR; Kim SH; Kim SA; Shin CI; Kim HJ; Kim SH; Han JK; Choi BI
Eur J Radiol; 2014 Feb; 83(2):250-60. PubMed ID: 24325848
[TBL] [Abstract][Full Text] [Related]
15. Role of CT texture analysis for predicting peritoneal metastases in patients with gastric cancer.
Masci GM; Ciccarelli F; Mattei FI; Grasso D; Accarpio F; Catalano C; Laghi A; Sammartino P; Iafrate F
Radiol Med; 2022 Mar; 127(3):251-258. PubMed ID: 35066804
[TBL] [Abstract][Full Text] [Related]
16. [The value of (18)F-FDG PET-CT imaging in predicting the malignant potential of GIST].
Li SX; Tang MD; Lin DY; Liu DJ; Lyu QH; Zhang JP; Cai ZH
Zhonghua Zhong Liu Za Zhi; 2017 Nov; 39(11):821-827. PubMed ID: 29151288
[No Abstract] [Full Text] [Related]
17. CT texture analysis can be a potential tool to differentiate gastrointestinal stromal tumors without KIT exon 11 mutation.
Xu F; Ma X; Wang Y; Tian Y; Tang W; Wang M; Wei R; Zhao X
Eur J Radiol; 2018 Oct; 107():90-97. PubMed ID: 30292279
[TBL] [Abstract][Full Text] [Related]
18. Two-dimensional Texture Analysis Based on CT Images to Differentiate Pancreatic Lymphoma and Pancreatic Adenocarcinoma: A Preliminary Study.
Huang Z; Li M; He D; Wei Y; Yu H; Wang Y; Yuan F; Song B
Acad Radiol; 2019 Aug; 26(8):e189-e195. PubMed ID: 30193819
[TBL] [Abstract][Full Text] [Related]
19. Gastroduodenal glomus tumors: differentiation from other subepithelial lesions based on dynamic contrast-enhanced CT findings.
Hur BY; Kim SH; Choi JY; Rha SE; Lee MW; Kim SY; Han JK; Choi BI
AJR Am J Roentgenol; 2011 Dec; 197(6):1351-9. PubMed ID: 22109289
[TBL] [Abstract][Full Text] [Related]
20. Hypovascular pancreas head adenocarcinoma: CT texture analysis for assessment of resection margin status and high-risk features.
Kulkarni A; Carrion-Martinez I; Jiang NN; Puttagunta S; Ruo L; Meyers BM; Aziz T; van der Pol CB
Eur Radiol; 2020 May; 30(5):2853-2860. PubMed ID: 31953662
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
