385 related articles for article (PubMed ID: 32248822)
1. 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]
2. 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]
3. Additional value of metabolic parameters to PET/CT-based radiomics nomogram in predicting lymphovascular invasion and outcome in lung adenocarcinoma.
Nie P; Yang G; Wang N; Yan L; Miao W; Duan Y; Wang Y; Gong A; Zhao Y; Wu J; Zhang C; Wang M; Cui J; Yu M; Li D; Sun Y; Wang Y; Wang Z
Eur J Nucl Med Mol Imaging; 2021 Jan; 48(1):217-230. PubMed ID: 32451603
[TBL] [Abstract][Full Text] [Related]
4. Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma.
Li Y; Yu M; Wang G; Yang L; Ma C; Wang M; Yue M; Cong M; Ren J; Shi G
Front Oncol; 2021; 11():644165. PubMed ID: 34055613
[TBL] [Abstract][Full Text] [Related]
5. Intratumoral and peritumoral radiomics nomograms for the preoperative prediction of lymphovascular invasion and overall survival in non-small cell lung cancer.
Chen Q; Shao J; Xue T; Peng H; Li M; Duan S; Feng F
Eur Radiol; 2023 Feb; 33(2):947-958. PubMed ID: 36064979
[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. Preoperative prediction of lymphovascular invasion in patients with T1 breast invasive ductal carcinoma based on radiomics nomogram using grayscale ultrasound.
Xu ML; Zeng SE; Li F; Cui XW; Liu GF
Front Oncol; 2022; 12():1071677. PubMed ID: 36568215
[TBL] [Abstract][Full Text] [Related]
8. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer.
Li J; Yin H; Wang Y; Zhang H; Ma F; Li H; Qu J
Eur Radiol; 2023 Apr; 33(4):2746-2756. PubMed ID: 36512039
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer.
Wu J; Zhou Y; Xu C; Yang C; Liu B; Zhao L; Song J; Wang W; Yang Y; Liu N
BMC Cancer; 2024 Feb; 24(1):170. PubMed ID: 38310283
[TBL] [Abstract][Full Text] [Related]
11. Development of an Intratumoral and Peritumoral Radiomics Nomogram Using Digital Breast Tomosynthesis for Preoperative Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
Xu M; Yang H; Sun J; Hao H; Li X; Liu G
Acad Radiol; 2024 May; 31(5):1748-1761. PubMed ID: 38097466
[TBL] [Abstract][Full Text] [Related]
12. A radiomics signature derived from CT imaging to predict MSI status and immunotherapy outcomes in gastric cancer: a multi-cohort study.
Zhan PC; Yang S; Liu X; Zhang YY; Wang R; Wang JX; Qiu QY; Gao Y; Lv DB; Li LM; Luo CL; Hu ZW; Li Z; Lyu PJ; Liang P; Gao JB
BMC Cancer; 2024 Apr; 24(1):404. PubMed ID: 38561648
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. 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]
15. 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]
16. Radiomics in Gastric Cancer: First Clinical Investigation to Predict Lymph Vascular Invasion and Survival Outcome Using
Yang L; Chu W; Li M; Xu P; Wang M; Peng M; Wang K; Zhang L
Front Oncol; 2022; 12():836098. PubMed ID: 35433451
[TBL] [Abstract][Full Text] [Related]
17. Comparison of MRI and CT-Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer.
Li J; Zhang HL; Yin HK; Zhang HK; Wang Y; Xu SN; Ma F; Gao JB; Li HL; Qu JR
J Magn Reson Imaging; 2023 Sep; 58(3):907-923. PubMed ID: 36527425
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Multi-Phase CT-Based Radiomics Nomogram for Discrimination Between Pancreatic Serous Cystic Neoplasm From Mucinous Cystic Neoplasm.
Gao J; Han F; Wang X; Duan S; Zhang J
Front Oncol; 2021; 11():699812. PubMed ID: 34926238
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
