173 related articles for article (PubMed ID: 37833730)
1. Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer.
Gao H; Ji K; Bao L; Chen H; Lin C; Feng M; Tao L; Wang M
World J Surg Oncol; 2023 Oct; 21(1):320. PubMed ID: 37833730
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. 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]
4. [Establishment of risk evaluation model of peritoneal metastasis in gastric cancer and its predictive value].
Zhao J; Zhou R; Zhang Q; Shu P; Li H; Wang X; Shen Z; Liu F; Chen W; Qin J; Sun Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2017 Jan; 20(1):47-52. PubMed ID: 28105619
[TBL] [Abstract][Full Text] [Related]
5. [Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion].
Liu SH; Hou XY; Zhang XX; Liu GW; Xin FJ; Wang JG; Zhang DL; Wang DS; Lu Y
Zhonghua Wei Chang Wai Ke Za Zhi; 2020 Nov; 23(11):1059-1066. PubMed ID: 33212554
[No 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. 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]
8. [A nomogram for predicting lymph node metastasis in early gastric cancer].
Cui H; Cao B; Deng H; Liu GB; Liang WQ; Xie TY; Ye L; Zhang QP; Wang N; Liu FD; Wei B
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Jan; 25(1):40-47. PubMed ID: 35067033
[No Abstract] [Full Text] [Related]
9. Novel CT based clinical nomogram comparable to radiomics model for identification of occult peritoneal metastasis in advanced gastric cancer.
Wang L; Lv P; Xue Z; Chen L; Zheng B; Lin G; Lin W; Chen J; Xie J; Duan Q; Lu J
Eur J Surg Oncol; 2022 Oct; 48(10):2166-2173. PubMed ID: 35817631
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. [Establishment of a nomogram model for predicting lymph node metastasis in patients with cN0 gastric cancer based on combination of preoperative C-reactive protein/albumin ratio].
Liu Q; Peng J; Jiang HG; Wang WB; Dai J; Zhou FX
Zhonghua Zhong Liu Za Zhi; 2019 Aug; 41(8):599-603. PubMed ID: 31434451
[No Abstract] [Full Text] [Related]
12. Development and validation of nomogram of peritoneal metastasis in gastric cancer based on simplified clinicopathological features and serum tumor markers.
Yang J; Su H; Chen T; Chen X; Chen H; Li G; Yu J
BMC Cancer; 2023 Jan; 23(1):64. PubMed ID: 36653759
[TBL] [Abstract][Full Text] [Related]
13. [Establishment of nomogram model to predict peritoneal metastasis in colon cancer patients without distant metastasis by preoperative imaging examination].
Wang X; Chi P; Lin H; Lu X; Huang Y; Xu Z; Huang S; Sun Y; Ye D
Zhonghua Wei Chang Wai Ke Za Zhi; 2017 Dec; 20(12):1387-1392. PubMed ID: 29280122
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. [Establishment and validation of a nomogram to predict overall survival of patients with gastric neuroendocrine neoplasms].
Wang YL; Guo Y; Zhang RH; Chen LH; Yang YJ; Wang W; Chen J; Zhou ZW
Zhonghua Wei Chang Wai Ke Za Zhi; 2021 Oct; 24(10):883-888. PubMed ID: 34674463
[No Abstract] [Full Text] [Related]
18. [Factors affecting survival prognosis of advanced gastric cancer and establishment of a nomogram predictive model].
Zhang L; Liu X; Lin H; Wang J; Zhang Q
Nan Fang Yi Ke Da Xue Xue Bao; 2021 Apr; 41(4):621-627. PubMed ID: 33963725
[TBL] [Abstract][Full Text] [Related]
19. Family history of malignant tumor is a predictor of gastric cancer prognosis: Incorporation into a nomogram.
Wang F; Fan L; Zhao Q; Liu Y; Zhang Z; Wang D; Zhao X; Li Y; Tan B
Medicine (Baltimore); 2022 Sep; 101(35):e30141. PubMed ID: 36107576
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]