156 related articles for article (PubMed ID: 38343212)
1. 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]
2. Nomogram based on clinical characteristics and radiological features for the preoperative prediction of spread through air spaces in patients with clinical stage IA non-small cell lung cancer: a multicenter study.
Wang Y; Lyu D; Zhang D; Hu L; Wu J; Tu W; Xiao Y; Fan L; Liu S
Diagn Interv Radiol; 2023 Nov; 29(6):771-785. PubMed ID: 37724737
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. 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]
5. Preoperative nomogram for predicting spread through air spaces in clinical-stage IA non-small cell lung cancer using
Wang Y; Lyu D; Cheng C; Zhou T; Tu W; Xiao Y; Zuo C; Fan L; Liu S
J Cancer Res Clin Oncol; 2024 Apr; 150(4):185. PubMed ID: 38598007
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
Li H; Chen XL; Liu H; Lu T; Li ZL
Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
[TBL] [Abstract][Full Text] [Related]
10. Radiomics nomograms of tumors and peritumoral regions for the preoperative prediction of spread through air spaces in lung adenocarcinoma.
Zhuo Y; Feng M; Yang S; Zhou L; Ge D; Lu S; Liu L; Shan F; Zhang Z
Transl Oncol; 2020 Oct; 13(10):100820. PubMed ID: 32622312
[TBL] [Abstract][Full Text] [Related]
11. A combined predictive model based on radiomics features and clinical factors for disease progression in early-stage non-small cell lung cancer treated with stereotactic ablative radiotherapy.
Yang H; Wang L; Shao G; Dong B; Wang F; Wei Y; Li P; Chen H; Chen W; Zheng Y; He Y; Zhao Y; Du X; Sun X; Wang Z; Wang Y; Zhou X; Lai X; Feng W; Shen L; Qiu G; Ji Y; Chen J; Jiang Y; Liu J; Zeng J; Wang C; Zhao Q; Yang X; Hu X; Ma H; Chen Q; Chen M; Jiang H; Xu Y
Front Oncol; 2022; 12():967360. PubMed ID: 35982975
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. Preoperative Prediction of Axillary Lymph Node Metastasis in Breast Cancer Based on Intratumoral and Peritumoral DCE-MRI Radiomics Nomogram.
Liu Y; Li X; Zhu L; Zhao Z; Wang T; Zhang X; Cai B; Li L; Ma M; Ma X; Ming J
Contrast Media Mol Imaging; 2022; 2022():6729473. PubMed ID: 36051932
[TBL] [Abstract][Full Text] [Related]
14. Preoperative CT-based peritumoral and tumoral radiomic features prediction for tumor spread through air spaces in clinical stage I lung adenocarcinoma.
Liao G; Huang L; Wu S; Zhang P; Xie D; Yao L; Zhang Z; Yao S; Shanshan L; Wang S; Wang G; Wing-Chi Chan L; Zhou H
Lung Cancer; 2022 Jan; 163():87-95. PubMed ID: 34942493
[TBL] [Abstract][Full Text] [Related]
15. A CT-Based Radiomics Nomogram Combined with Clinic-Radiological Characteristics for Preoperative Prediction of the Novel IASLC Grading of Invasive Pulmonary Adenocarcinoma.
Yang Z; Cai Y; Chen Y; Ai Z; Chen F; Wang H; Han Q; Feng Q; Xiang Z
Acad Radiol; 2023 Sep; 30(9):1946-1961. PubMed ID: 36567145
[TBL] [Abstract][Full Text] [Related]
16. Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue.
Zheng G; Hou J; Shu Z; Peng J; Han L; Yuan Z; He X; Gong X
BMC Med Imaging; 2024 Jan; 24(1):22. PubMed ID: 38245712
[TBL] [Abstract][Full Text] [Related]
17. A nomogram based on CT intratumoral and peritumoral radiomics features preoperatively predicts poorly differentiated invasive pulmonary adenocarcinoma manifesting as subsolid or solid lesions: a double-center study.
Yang Z; Dong H; Fu C; Zhang Z; Hong Y; Shan K; Ma C; Chen X; Xu J; Pang Z; Hou M; Zhang X; Zhu W; Liu L; Li W; Sun J; Zhao F
Front Oncol; 2024; 14():1289555. PubMed ID: 38313797
[TBL] [Abstract][Full Text] [Related]
18. Computed tomography-based radiomics nomogram model for predicting adherent perinephric fat.
Ma T; Cong L; Xu J; Huang C; Ma Q; Hua Q; Li X; Huang Z; Wang X; Chen Y
J Cancer Res Ther; 2022 Apr; 18(2):336-344. PubMed ID: 35645098
[TBL] [Abstract][Full Text] [Related]
19. Preoperative CT-based radiomics combined with tumour spread through air spaces can accurately predict early recurrence of stage I lung adenocarcinoma: a multicentre retrospective cohort study.
Wang Y; Ding Y; Liu X; Li X; Jia X; Li J; Zhang H; Song Z; Xu M; Ren J; Sun D
Cancer Imaging; 2023 Sep; 23(1):83. PubMed ID: 37679806
[TBL] [Abstract][Full Text] [Related]
20. The Value of CT-Based Radiomics for Predicting Spread Through Air Spaces in Stage IA Lung Adenocarcinoma.
Han X; Fan J; Zheng Y; Ding C; Zhang X; Zhang K; Wang N; Jia X; Li Y; Liu J; Zheng J; Shi H
Front Oncol; 2022; 12():757389. PubMed ID: 35880159
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]