These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
152 related articles for article (PubMed ID: 38601586)
1. A nomogram model of spectral CT quantitative parameters and clinical characteristics predicting lymphovascular invasion of gastric cancer. Tong YX; Ye X; Chen YQ; You YR; Zhang HJ; Chen SX; Wang LL; Xue YJ; Chen LH Heliyon; 2024 Apr; 10(7):e29214. PubMed ID: 38601586 [TBL] [Abstract][Full Text] [Related]
2. 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]
3. Spectral CT for preoperative prediction of lymphovascular invasion in resectable gastric cancer: With external prospective validation. Li J; Wang Y; Wang R; Gao JB; Qu JR Front Oncol; 2022; 12():942425. PubMed ID: 36267965 [TBL] [Abstract][Full Text] [Related]
4. Combination of clinical and spectral-CT parameters for predicting lymphovascular and perineural invasion in gastric cancer. Ren T; Zhang W; Li S; Deng L; Xue C; Li Z; Liu S; Sun J; Zhou J Diagn Interv Imaging; 2022 Dec; 103(12):584-593. PubMed ID: 35934616 [TBL] [Abstract][Full Text] [Related]
5. Preoperative prediction of lymphovascular invasion of colorectal cancer by radiomics based on 18F-FDG PET-CT and clinical factors. Yang Y; Wei H; Fu F; Wei W; Wu Y; Bai Y; Li Q; Wang M Front Radiol; 2023; 3():1212382. PubMed ID: 37614530 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Risk factors of lymph node metastasis or lymphovascular invasion for superficial esophageal squamous cell carcinoma: A practical and effective predictive nomogram based on a cancer hospital data. Tao Y; Chen S; Yu J; Shen Q; Ruan R; Wang S Front Med (Lausanne); 2022; 9():1038097. PubMed ID: 36465939 [TBL] [Abstract][Full Text] [Related]
8. [Spectral CT multi-parameter imaging in preoperatively evaluation the status of lymphovascular and perineural invasion of gastric cancer]. Ren TZ; Deng LN; Li SL; Sun JC; Liu SW; Zhou JL Zhonghua Yi Xue Za Zhi; 2022 Jun; 102(23):1741-1746. PubMed ID: 35705477 [No Abstract] [Full Text] [Related]
9. Predictive value of spectral dual-detector computed tomography for Wang T; Fan Z; Yue Y; Lu X; Deng X; Hou Y Quant Imaging Med Surg; 2024 Aug; 14(8):5983-6001. PubMed ID: 39144026 [TBL] [Abstract][Full Text] [Related]
10. Spectral CT-based nomogram for preoperative prediction of perineural invasion in locally advanced gastric cancer: a prospective study. Li J; Xu S; Wang Y; Fang M; Ma F; Xu C; Li H Eur Radiol; 2023 Jul; 33(7):5172-5183. PubMed ID: 36826503 [TBL] [Abstract][Full Text] [Related]
11. 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]
12. [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]
13. A Nomogram for Predicting Lymphovascular Invasion in Superficial Esophageal Squamous Cell Carcinoma. Ruan R; Chen S; Tao Y; Yu J; Zhou D; Cui Z; Shen Q; Wang S Front Oncol; 2021; 11():663802. PubMed ID: 34041028 [TBL] [Abstract][Full Text] [Related]
14. Predicting lymphovascular invasion in N0 stage non-small cell lung cancer: A nomogram based on Dual-energy CT imaging and clinical findings. Deng L; Yang J; Zhang M; Zhu K; Zhang J; Ren W; Zhang Y; Jing M; Han T; Zhang B; Zhou J Eur J Radiol; 2024 Oct; 179():111650. PubMed ID: 39116778 [TBL] [Abstract][Full Text] [Related]
15. Machine learning model based on enhanced CT radiomics for the preoperative prediction of lymphovascular invasion in esophageal squamous cell carcinoma. Wang Y; Bai G; Huang M; Chen W Front Oncol; 2024; 14():1308317. PubMed ID: 38549935 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. 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]
19. Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer. Li J; Fang M; Wang R; Dong D; Tian J; Liang P; Liu J; Gao J Eur Radiol; 2018 Dec; 28(12):5241-5249. PubMed ID: 29869176 [TBL] [Abstract][Full Text] [Related]