369 related articles for article (PubMed ID: 37465108)
1. 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]
2. 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]
3. 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]
4. 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]
5. A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer.
Luo HS; Huang SF; Xu HY; Li XY; Wu SX; Wu DH
Radiat Oncol; 2020 Oct; 15(1):249. PubMed ID: 33121507
[TBL] [Abstract][Full Text] [Related]
6. Computed tomography-based radiomics analysis to predict lymphovascular invasion in esophageal squamous cell carcinoma.
Peng H; Yang Q; Xue T; Chen Q; Li M; Duan S; Cai B; Feng F
Br J Radiol; 2022 Feb; 95(1130):20210918. PubMed ID: 34908477
[TBL] [Abstract][Full Text] [Related]
7. Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
Du Y; Cai M; Zha H; Chen B; Gu J; Zhang M; Liu W; Liu X; Liu X; Zong M; Li C
Eur Radiol; 2024 Jan; 34(1):136-148. PubMed ID: 37518678
[TBL] [Abstract][Full Text] [Related]
8. CT radiomics in the identification of preoperative understaging in patients with clinical stage T1-2N0 esophageal squamous cell carcinoma.
Zhao B; Yan S; Jia ZY; Zhu HT; Shi YJ; Li XT; Qu JR; Sun YS
Quant Imaging Med Surg; 2023 Dec; 13(12):7996-8008. PubMed ID: 38106287
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Radiomics models based on CT at different phases predicting lymph node metastasis of esophageal squamous cell carcinoma (GASTO-1089).
Peng G; Zhan Y; Wu Y; Zeng C; Wang S; Guo L; Liu W; Luo L; Wang R; Huang K; Huang B; Chen J; Chen C
Front Oncol; 2022; 12():988859. PubMed ID: 36387160
[TBL] [Abstract][Full Text] [Related]
11. Preoperative Prediction of Perineural Invasion in Oesophageal Squamous Cell Carcinoma Based on CT Radiomics Nomogram: A Multicenter Study.
Zhou H; Zhou J; Qin C; Tian Q; Zhou S; Qin Y; Wu Y; Shi J; Feng F
Acad Radiol; 2024 Apr; 31(4):1355-1366. PubMed ID: 37949700
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. Development and Validation of a Radiomics Nomogram Model for Predicting Postoperative Recurrence in Patients With Esophageal Squamous Cell Cancer Who Achieved pCR After Neoadjuvant Chemoradiotherapy Followed by Surgery.
Qiu Q; Duan J; Deng H; Han Z; Gu J; Yue NJ; Yin Y
Front Oncol; 2020; 10():1398. PubMed ID: 32850451
[No Abstract] [Full Text] [Related]
15. A radiomics nomogram for predicting postoperative recurrence in esophageal squamous cell carcinoma.
Tong Y; Chen J; Sun J; Luo T; Duan S; Li K; Zhou K; Zeng J; Lu F
Front Oncol; 2023; 13():1162238. PubMed ID: 37901318
[TBL] [Abstract][Full Text] [Related]
16. Machine learning based on clinico-biological features integrated
Ren C; Zhang J; Qi M; Zhang J; Zhang Y; Song S; Sun Y; Cheng J
Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1538-1549. PubMed ID: 33057772
[TBL] [Abstract][Full Text] [Related]
17. Computed tomography-based radiomics nomogram for the preoperative prediction of perineural invasion in colorectal cancer: a multicentre study.
Chen Q; Cui Y; Xue T; Peng H; Li M; Zhu X; Duan S; Gu H; Feng F
Abdom Radiol (NY); 2022 Sep; 47(9):3251-3263. PubMed ID: 35960308
[TBL] [Abstract][Full Text] [Related]
18. Application of a combined radiomics nomogram based on CE-CT in the preoperative prediction of thymomas risk categorization.
Dong W; Xiong S; Lei P; Wang X; Liu H; Liu Y; Zou H; Fan B; Qiu Y
Front Oncol; 2022; 12():944005. PubMed ID: 36081562
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Development of a CT radiomics nomogram for preoperative prediction of Ki-67 index in pancreatic ductal adenocarcinoma: a two-center retrospective study.
Li Q; Song Z; Li X; Zhang D; Yu J; Li Z; Huang J; Su K; Liu Q; Zhang X; Tang Z
Eur Radiol; 2024 May; 34(5):2934-2943. PubMed ID: 37938382
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]