159 related articles for article (PubMed ID: 36041416)
1. Radiomics in Addition to Computed Tomography-Based Body Composition Nomogram May Improve the Prediction of Postoperative Complications in Gastric Cancer Patients.
Lan Q; Guan X; Lu S; Yuan W; Jiang Z; Lin H; Long L
Ann Nutr Metab; 2022; 78(6):316-327. PubMed ID: 36041416
[TBL] [Abstract][Full Text] [Related]
2. CT radiomics nomogram for the preoperative prediction of lymph node metastasis in gastric cancer.
Wang Y; Liu W; Yu Y; Liu JJ; Xue HD; Qi YF; Lei J; Yu JC; Jin ZY
Eur Radiol; 2020 Feb; 30(2):976-986. PubMed ID: 31468157
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Development and validation of a CT radiomics and clinical feature model to predict omental metastases for locally advanced gastric cancer.
Wu A; Wu C; Zeng Q; Cao Y; Shu X; Luo L; Feng Z; Tu Y; Jie Z; Zhu Y; Zhou F; Huang Y; Li Z
Sci Rep; 2023 May; 13(1):8442. PubMed ID: 37231100
[TBL] [Abstract][Full Text] [Related]
5. [The value of a nomogram based on clinical data and contrast enhanced CT radiomics in the preoperative prediction of Epstein-Barr virus-associated gastric carcinoma].
Geng L; Zong RL; Wang WT; Zhao HL; Huan YM; Liu ZX; Meng YK; Xu K
Zhonghua Yi Xue Za Zhi; 2022 Oct; 102(37):2956-2962. PubMed ID: 36207872
[No Abstract] [Full Text] [Related]
6. 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]
7. A Radiomics Nomogram Integrated With Clinic-Radiological Features for Preoperative Prediction of DNA Mismatch Repair Deficiency in Gastric Adenocarcinoma.
Tong Y; Li J; Chen J; Hu C; Xu Z; Duan S; Wang X; Yu R; Cheng X
Front Oncol; 2022; 12():865548. PubMed ID: 35912185
[TBL] [Abstract][Full Text] [Related]
8.
Xue XQ; Yu WJ; Shi X; Shao XL; Wang YT
Front Oncol; 2022; 12():911168. PubMed ID: 36003788
[TBL] [Abstract][Full Text] [Related]
9. Potential value of CT radiomics in the distinction of intestinal-type gastric adenocarcinomas.
Wang Y; Liu W; Yu Y; Han W; Liu JJ; Xue HD; Lei J; Jin ZY; Yu JC
Eur Radiol; 2020 May; 30(5):2934-2944. PubMed ID: 32020404
[TBL] [Abstract][Full Text] [Related]
10. Development and validation of a CT-based nomogram for preoperative prediction of clear cell renal cell carcinoma grades.
Zheng Z; Chen Z; Xie Y; Zhong Q; Xie W
Eur Radiol; 2021 Aug; 31(8):6078-6086. PubMed ID: 33515086
[TBL] [Abstract][Full Text] [Related]
11. The predictive potential of contrast-enhanced computed tomography based radiomics in the preoperative staging of cT4 gastric cancer.
Liu B; Zhang D; Wang H; Wang H; Zhang P; Zhang D; Zhang Q; Zhang J
Quant Imaging Med Surg; 2022 Nov; 12(11):5222-5238. PubMed ID: 36330185
[TBL] [Abstract][Full Text] [Related]
12. A radiomics nomogram analysis based on CT images and clinical features for preoperative Lauren classification in gastric cancer.
Nie T; Liu D; Ai S; He Y; Yang M; Chen J; Yuan Z; Liu Y
Jpn J Radiol; 2023 Apr; 41(4):401-408. PubMed ID: 36370327
[TBL] [Abstract][Full Text] [Related]
13. The value of CT-based radiomics nomogram in differential diagnosis of different histological types of gastric cancer.
Huang H; Xu F; Chen Q; Hu H; Qi F; Zhao J
Phys Eng Sci Med; 2022 Dec; 45(4):1063-1071. PubMed ID: 36063347
[TBL] [Abstract][Full Text] [Related]
14. Preoperative contrast-enhanced computed tomography-based radiomics model for overall survival prediction in hepatocellular carcinoma.
Deng PZ; Zhao BG; Huang XH; Xu TF; Chen ZJ; Wei QF; Liu XY; Guo YQ; Yuan SG; Liao WJ
World J Gastroenterol; 2022 Aug; 28(31):4376-4389. PubMed ID: 36159012
[TBL] [Abstract][Full Text] [Related]
15. Development and validation of a radiomics-based nomogram for the preoperative prediction of microsatellite instability in colorectal cancer.
Ying M; Pan J; Lu G; Zhou S; Fu J; Wang Q; Wang L; Hu B; Wei Y; Shen J
BMC Cancer; 2022 May; 22(1):524. PubMed ID: 35534797
[TBL] [Abstract][Full Text] [Related]
16. A CT-based deep learning radiomics nomogram for predicting the response to neoadjuvant chemotherapy in patients with locally advanced gastric cancer: A multicenter cohort study.
Cui Y; Zhang J; Li Z; Wei K; Lei Y; Ren J; Wu L; Shi Z; Meng X; Yang X; Gao X
EClinicalMedicine; 2022 Apr; 46():101348. PubMed ID: 35340629
[TBL] [Abstract][Full Text] [Related]
17. Computed Tomography-Based Radiomics Nomogram: Potential to Predict Local Recurrence of Gastric Cancer After Radical Resection.
Huang L; Feng B; Li Y; Liu Y; Chen Y; Chen Q; Li C; Huang W; Xue H; Li X; Zhou T; Li R; Long W; Feng ST
Front Oncol; 2021; 11():638362. PubMed ID: 34540653
[TBL] [Abstract][Full Text] [Related]
18. [The value of spectral CT-based radiomics in preoperative prediction of lymph node metastasis of advanced gastric cancer].
Wang R; Li J; Fang MJ; Dong D; Liang P; Gao JB
Zhonghua Yi Xue Za Zhi; 2020 Jun; 100(21):1617-1622. PubMed ID: 32486595
[No Abstract] [Full Text] [Related]
19. A CT-based radiomics nomogram for prediction of human epidermal growth factor receptor 2 status in patients with gastric cancer.
Li Y; Cheng Z; Gevaert O; He L; Huang Y; Chen X; Huang X; Wu X; Zhang W; Dong M; Huang J; Huang Y; Xia T; Liang C; Liu Z
Chin J Cancer Res; 2020 Feb; 32(1):62-71. PubMed ID: 32194306
[TBL] [Abstract][Full Text] [Related]
20. Nomogram Based on CT Radiomics Features Combined With Clinical Factors to Predict Ki-67 Expression in Hepatocellular Carcinoma.
Wu C; Chen J; Fan Y; Zhao M; He X; Wei Y; Ge W; Liu Y
Front Oncol; 2022; 12():943942. PubMed ID: 35875154
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]