138 related articles for article (PubMed ID: 37124887)
1. Can visceral fat parameters based on computed tomography be used to predict occult peritoneal metastasis in gastric cancer?
Li LM; Feng LY; Liu CC; Huang WP; Yu Y; Cheng PY; Gao JB
World J Gastroenterol; 2023 Apr; 29(15):2310-2321. PubMed ID: 37124887
[TBL] [Abstract][Full Text] [Related]
2. Noninvasive Prediction of Occult Peritoneal Metastasis in Gastric Cancer Using Deep Learning.
Jiang Y; Liang X; Wang W; Chen C; Yuan Q; Zhang X; Li N; Chen H; Yu J; Xie Y; Xu Y; Zhou Z; Li G; Li R
JAMA Netw Open; 2021 Jan; 4(1):e2032269. PubMed ID: 33399858
[TBL] [Abstract][Full Text] [Related]
3. Radiomics analysis using contrast-enhanced CT for preoperative prediction of occult peritoneal metastasis in advanced gastric cancer.
Liu S; He J; Liu S; Ji C; Guan W; Chen L; Guan Y; Yang X; Zhou Z
Eur Radiol; 2020 Jan; 30(1):239-246. PubMed ID: 31385045
[TBL] [Abstract][Full Text] [Related]
4. Comparison of clinical-computed tomography model with 2D and 3D radiomics models to predict occult peritoneal metastases in advanced gastric cancer.
Huang J; Chen Y; Zhang Y; Xie J; Liang Y; Yuan W; Zhou T; Gao R; Wen R; Xia Y; Long L
Abdom Radiol (NY); 2022 Jan; 47(1):66-75. PubMed ID: 34636930
[TBL] [Abstract][Full Text] [Related]
5. Gastric cancer: development and validation of a CT-based model to predict peritoneal metastasis.
Kim M; Jeong WK; Lim S; Sohn TS; Bae JM; Sohn IS
Acta Radiol; 2020 Jun; 61(6):732-742. PubMed ID: 31653185
[TBL] [Abstract][Full Text] [Related]
6. Development and validation of an individualized nomogram to identify occult peritoneal metastasis in patients with advanced gastric cancer.
Dong D; Tang L; Li ZY; Fang MJ; Gao JB; Shan XH; Ying XJ; Sun YS; Fu J; Wang XX; Li LM; Li ZH; Zhang DF; Zhang Y; Li ZM; Shan F; Bu ZD; Tian J; Ji JF
Ann Oncol; 2019 Mar; 30(3):431-438. PubMed ID: 30689702
[TBL] [Abstract][Full Text] [Related]
7. Practical nomogram based on comprehensive CT texture analysis to preoperatively predict peritoneal occult metastasis of gastric cancer patients.
Chen S; Zhang H; Wei H; Tong Y; Chen X
Front Oncol; 2022; 12():882584. PubMed ID: 36531010
[TBL] [Abstract][Full Text] [Related]
8. Prediction of occult peritoneal metastases or positive cytology using CT in gastric cancer.
Liu P; Ding P; Wu H; Wu J; Yang P; Tian Y; Guo H; Zhao Q
Eur Radiol; 2023 Dec; 33(12):9275-9285. PubMed ID: 37414883
[TBL] [Abstract][Full Text] [Related]
9. Retrospective imaging studies of gastric cancer: Study protocol clinical trial (SPIRIT Compliant).
Huang Z; Liu D; Chen X; Yu P; Wu J; Song B; Hu J; Wu B
Medicine (Baltimore); 2020 Feb; 99(8):e19157. PubMed ID: 32080093
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Construction of a nomogram model for predicting peritoneal metastasis in gastric cancer: focused on cardiophrenic angle lymph node features.
Gu X; Li Y; Shi G; Yang L; Feng H; Yang Y; Zhang Z
Abdom Radiol (NY); 2023 Apr; 48(4):1227-1236. PubMed ID: 36807997
[TBL] [Abstract][Full Text] [Related]
12. Clinical significance of computed tomography-detected ascites in gastric cancer patients with peritoneal metastases.
Kim SH; Choi YH; Kim JW; Oh S; Lee S; Kim BG; Lee KL
Medicine (Baltimore); 2018 Feb; 97(8):e9343. PubMed ID: 29465550
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. [Value of multidetector-row CT in the preoperative prediction of peritoneal metastasis from gastric cancer: a single-center and large-scale study].
Yan C; Zhu ZG; Yan M; Chen KM; Chen J; Xiang M; Chen MM; Liu BY; Yin HR; Lin YZ
Zhonghua Wei Chang Wai Ke Za Zhi; 2010 Feb; 13(2):106-10. PubMed ID: 20186619
[TBL] [Abstract][Full Text] [Related]
15. Visceral adiposity and inflammatory bowel disease.
Rowan CR; McManus J; Boland K; O'Toole A
Int J Colorectal Dis; 2021 Nov; 36(11):2305-2319. PubMed ID: 34104989
[TBL] [Abstract][Full Text] [Related]
16. Imaging peritoneal metastasis of gastric cancer with
Honma Y; Terauchi T; Tateishi U; Kano D; Nagashima K; Shoji H; Iwasa S; Takashima A; Kato K; Hamaguchi T; Boku N; Shimada Y; Yamada Y
Br J Radiol; 2018 Sep; 91(1089):20180259. PubMed ID: 29916721
[TBL] [Abstract][Full Text] [Related]
17. Accuracy of endoscopic ultrasonography in diagnosing ascites and predicting peritoneal metastases in gastric cancer patients.
Lee YT; Ng EK; Hung LC; Chung SC; Ching JY; Chan WY; Chu WC; Sung JJ
Gut; 2005 Nov; 54(11):1541-5. PubMed ID: 15955787
[TBL] [Abstract][Full Text] [Related]
18. Significance of CT attenuation and F-18 fluorodeoxyglucose uptake of visceral adipose tissue for predicting survival in gastric cancer patients after curative surgical resection.
Lee JW; Son MW; Chung IK; Cho YS; Lee MS; Lee SM
Gastric Cancer; 2020 Mar; 23(2):273-284. PubMed ID: 31485803
[TBL] [Abstract][Full Text] [Related]
19. A Nomogram Based on Clinicopathologic Features and Preoperative Hematology Parameters to Predict Occult Peritoneal Metastasis of Gastric Cancer: A Single-Center Retrospective Study.
Yang C; Yang Y; Huang X; Li H; Cheng H; Tong S; Zheng Y
Dis Markers; 2020; 2020():1418978. PubMed ID: 33376558
[TBL] [Abstract][Full Text] [Related]
20. A nomogram for predicting postoperative complications based on tumor spectral CT parameters and visceral fat area in gastric cancer patients.
Tan X; Yang X; Hu S; Chen X; Sun Z
Eur J Radiol; 2023 Oct; 167():111072. PubMed ID: 37666073
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]