328 related articles for article (PubMed ID: 36064979)
1. 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]
2. Radiomics nomogram integrating intratumoural and peritumoural features to predict lymph node metastasis and prognosis in clinical stage IA non-small cell lung cancer: a two-centre study.
Chen QL; Li MM; Xue T; Peng H; Shi J; Li YY; Duan SF; Feng F
Clin Radiol; 2023 May; 78(5):e359-e367. PubMed ID: 36858926
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. Nomogram using intratumoral and peritumoral radiomics for the preoperative prediction of visceral pleural invasion in clinical stage IA lung adenocarcinoma.
Wang Y; Lyu D; Hu S; Ma Y; Duan S; Geng Y; Zhou T; Tu W; Xiao Y; Fan L; Liu S
J Cardiothorac Surg; 2024 May; 19(1):307. PubMed ID: 38822379
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. Multiparametric MRI-based radiomics nomogram for preoperative prediction of lymphovascular invasion and clinical outcomes in patients with breast invasive ductal carcinoma.
Zhang J; Wang G; Ren J; Yang Z; Li D; Cui Y; Yang X
Eur Radiol; 2022 Jun; 32(6):4079-4089. PubMed ID: 35050415
[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. 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]
9. T2WI-based MRI radiomics for the prediction of preoperative extranodal extension and prognosis in resectable rectal cancer.
Li H; Chai L; Pu H; Yin LL; Li M; Zhang X; Liu YS; Pang MH; Lu T
Insights Imaging; 2024 Feb; 15(1):57. PubMed ID: 38411722
[TBL] [Abstract][Full Text] [Related]
10. Preoperative CT Radiomics Nomogram for Predicting Microvascular Invasion in Stage I Non-Small Cell Lung Cancer.
Deng L; Tang HZ; Luo YW; Feng F; Wu JY; Li Q; Qiang JW
Acad Radiol; 2024 Jan; 31(1):46-57. PubMed ID: 37331866
[TBL] [Abstract][Full Text] [Related]
11. CT-based radiomics for predicting brain metastases as the first failure in patients with curatively resected locally advanced non-small cell lung cancer.
Sun F; Chen Y; Chen X; Sun X; Xing L
Eur J Radiol; 2021 Jan; 134():109411. PubMed ID: 33246270
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Intra- and Peritumoral Based Radiomics for Assessment of Lymphovascular Invasion in Invasive Breast Cancer.
Jiang W; Meng R; Cheng Y; Wang H; Han T; Qu N; Yu T; Hou Y; Xu S
J Magn Reson Imaging; 2024 Feb; 59(2):613-625. PubMed ID: 37199241
[TBL] [Abstract][Full Text] [Related]
14. CT-Based Intratumoral and Peritumoral Radiomics Nomograms for the Preoperative Prediction of Spread Through Air Spaces in Clinical Stage IA Non-small Cell Lung Cancer.
Wang Y; Lyu D; Hu L; Wu J; Duan S; Zhou T; Tu W; Xiao Y; Fan L; Liu S
J Imaging Inform Med; 2024 Apr; 37(2):520-535. PubMed ID: 38343212
[TBL] [Abstract][Full Text] [Related]
15. Prediction of programmed death-1 expression status in non-small cell lung cancer based on intratumoural and peritumoral computed tomography (CT) radiomics nomogram.
Tian Q; Jia JY; Qin C; Zhou H; Zhou SY; Qin YH; Wu YY; Shi J; Duan SF; Feng F
Clin Radiol; 2024 May; ():. PubMed ID: 38876960
[TBL] [Abstract][Full Text] [Related]
16. MRI-based multiregional radiomics for preoperative prediction of tumor deposit and prognosis in resectable rectal cancer: a bicenter study.
Li H; Chen XL; Liu H; Liu YS; Li ZL; Pang MH; Pu H
Eur Radiol; 2023 Nov; 33(11):7561-7572. PubMed ID: 37160427
[TBL] [Abstract][Full Text] [Related]
17. Integrative nomogram of intratumoral, peritumoral, and lymph node radiomic features for prediction of lymph node metastasis in cT1N0M0 lung adenocarcinomas.
Das SK; Fang KW; Xu L; Li B; Zhang X; Yang HF
Sci Rep; 2021 May; 11(1):10829. PubMed ID: 34031529
[TBL] [Abstract][Full Text] [Related]
18. Prediction and verification of survival in patients with non-small-cell lung cancer based on an integrated radiomics nomogram.
Li R; Peng H; Xue T; Li J; Ge Y; Wang G; Feng F
Clin Radiol; 2022 Mar; 77(3):e222-e230. PubMed ID: 34974912
[TBL] [Abstract][Full Text] [Related]
19. Sublobar Resection in Stage IA Non-Small Cell Lung Cancer: Role of Preoperative CT Features in Predicting Pathologic Lymphovascular Invasion and Postoperative Recurrence.
Choe J; Kim MY; Yun JK; Lee GD; Kim YH; Choi S; Kim DK
AJR Am J Roentgenol; 2021 Oct; 217(4):871-881. PubMed ID: 33978462
[No Abstract] [Full Text] [Related]
20. Computed tomography-based radiomics nomogram for the pre-operative prediction of BRAF mutation and clinical outcomes in patients with colorectal cancer: a double-center study.
Li M; Xu G; Zhou H; Chen Q; Fan Q; Shi J; Duan S; Cui Y; Feng F
Br J Radiol; 2023 Aug; 96(1148):20230019. PubMed ID: 37195006
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
