118 related articles for article (PubMed ID: 37377070)
1. Prediction model based on radiomics and clinical features for preoperative lymphovascular invasion in gastric cancer patients.
Wang P; Chen K; Han Y; Zhao M; Abiyasi N; Peng H; Yan S; Shang J; Shang N; Meng W
Future Oncol; 2023 Jul; 19(23):1613-1626. PubMed ID: 37377070
[No Abstract] [Full Text] [Related]
2. Radiomics analysis of contrast-enhanced CT predicts lymphovascular invasion and disease outcome in gastric cancer: a preliminary study.
Chen X; Yang Z; Yang J; Liao Y; Pang P; Fan W; Chen X
Cancer Imaging; 2020 Apr; 20(1):24. PubMed ID: 32248822
[TBL] [Abstract][Full Text] [Related]
3. Prognostic aspects of lymphovascular invasion in localized gastric cancer: new insights into the radiomics and deep transfer learning from contrast-enhanced CT imaging.
Li Q; Feng QX; Qi L; Liu C; Zhang J; Yang G; Zhang YD; Liu XS
Abdom Radiol (NY); 2022 Feb; 47(2):496-507. PubMed ID: 34766197
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. 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]
6. Machine learning analysis for the noninvasive prediction of lymphovascular invasion in gastric cancer using PET/CT and enhanced CT-based radiomics and clinical variables.
Fan L; Li J; Zhang H; Yin H; Zhang R; Zhang J; Chen X
Abdom Radiol (NY); 2022 Apr; 47(4):1209-1222. PubMed ID: 35089370
[TBL] [Abstract][Full Text] [Related]
7. Intratumoral and peritumoral radiomics analysis for preoperative Lauren classification in gastric cancer.
Wang XX; Ding Y; Wang SW; Dong D; Li HL; Chen J; Hu H; Lu C; Tian J; Shan XH
Cancer Imaging; 2020 Nov; 20(1):83. PubMed ID: 33228815
[TBL] [Abstract][Full Text] [Related]
8. Can lymphovascular invasion be predicted by preoperative multiphasic dynamic CT in patients with advanced gastric cancer?
Ma Z; Liang C; Huang Y; He L; Liang C; Chen X; Huang X; Xiong Y; Liu Z
Eur Radiol; 2017 Aug; 27(8):3383-3391. PubMed ID: 27999983
[TBL] [Abstract][Full Text] [Related]
9. Development and validation of a multiphase CT radiomics nomogram for the preoperative prediction of lymphovascular invasion in patients with gastric cancer.
Guo Q; Sun Q; Bian X; Wang M; Dong H; Yin H; Dai X; Fan G; Chen G
Clin Radiol; 2023 Aug; 78(8):e552-e559. PubMed ID: 37117048
[TBL] [Abstract][Full Text] [Related]
10. Radiomics Analysis to Predict Lymphovascular Invasion of Gastric Cancer Based on Iodine-Based Material Decomposition Images and Virtual Monoenergetic Images.
Shi C; Yan J; Yu Y; Hu C
J Comput Assist Tomogr; 2024 Mar-Apr 01; 48(2):175-183. PubMed ID: 38110306
[TBL] [Abstract][Full Text] [Related]
11. Preoperative prediction of lymphovascular and perineural invasion in gastric cancer using spectral computed tomography imaging and machine learning.
Ge HT; Chen JW; Wang LL; Zou TX; Zheng B; Liu YF; Xue YJ; Lin WW
World J Gastroenterol; 2024 Feb; 30(6):542-555. PubMed ID: 38463023
[TBL] [Abstract][Full Text] [Related]
12. Contrast-enhanced CT based radiomics in the preoperative prediction of perineural invasion for patients with gastric cancer.
Zheng H; Zheng Q; Jiang M; Han C; Yi J; Ai Y; Xie C; Jin X
Eur J Radiol; 2022 Sep; 154():110393. PubMed ID: 35679700
[TBL] [Abstract][Full Text] [Related]
13. Preoperative prediction of perineural invasion and lymphovascular invasion with CT radiomics in gastric cancer.
He Y; Yang M; Hou R; Ai S; Nie T; Chen J; Hu H; Guo X; Liu Y; Yuan Z
Eur J Radiol Open; 2024 Jun; 12():100550. PubMed ID: 38314183
[TBL] [Abstract][Full Text] [Related]
14. Deep learning-based radiomics model can predict extranodal soft tissue metastasis in gastric cancer.
Liu S; Deng J; Dong D; Fang M; Ye Z; Hu Y; Li H; Zhong L; Cao R; Zhao X; Shang W; Li G; Liang H; Tian J
Med Phys; 2024 Jan; 51(1):267-277. PubMed ID: 37573524
[TBL] [Abstract][Full Text] [Related]
15. Preoperative prediction of lymphovascular invasion in invasive breast cancer with dynamic contrast-enhanced-MRI-based radiomics.
Liu Z; Feng B; Li C; Chen Y; Chen Q; Li X; Guan J; Chen X; Cui E; Li R; Li Z; Long W
J Magn Reson Imaging; 2019 Sep; 50(3):847-857. PubMed ID: 30773770
[TBL] [Abstract][Full Text] [Related]
16. A radiomics nomogram based on contrast-enhanced CT for preoperative prediction of Lymphovascular invasion in esophageal squamous cell carcinoma.
Wang Y; Bai G; Huang W; Zhang H; Chen W
Front Oncol; 2023; 13():1208756. PubMed ID: 37465108
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Machine Learning-Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer.
Li Q; Qi L; Feng QX; Liu C; Sun SW; Zhang J; Yang G; Ge YQ; Zhang YD; Liu XS
Clin Transl Gastroenterol; 2019 Oct; 10(10):e00079. PubMed ID: 31577560
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. 2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-Center Study.
Meng L; Dong D; Chen X; Fang M; Wang R; Li J; Liu Z; Tian J
IEEE J Biomed Health Inform; 2021 Mar; 25(3):755-763. PubMed ID: 32750940
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]