229 related articles for article (PubMed ID: 31645497)
1. Radiomics in predicting tumor molecular marker P63 for non-small cell lung cancer.
Gu Q; Feng Z; Hu X; Ma M; Mustafa Jumbe M; Yan H; Liu P; Rong P
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Sep; 44(9):1055-1062. PubMed ID: 31645497
[TBL] [Abstract][Full Text] [Related]
2. Machine learning-based radiomics strategy for prediction of cell proliferation in non-small cell lung cancer.
Gu Q; Feng Z; Liang Q; Li M; Deng J; Ma M; Wang W; Liu J; Liu P; Rong P
Eur J Radiol; 2019 Sep; 118():32-37. PubMed ID: 31439255
[TBL] [Abstract][Full Text] [Related]
3. [Development of a radiomics signature to predict Ki-67 expression level in non-small cell lung cancer].
Gu Q; Feng Z; Liang Q; Li M; Wang W; Rong P
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2018 Nov; 43(11):1216-1222. PubMed ID: 30643066
[TBL] [Abstract][Full Text] [Related]
4. Radiomics study for predicting the expression of PD-L1 in non-small cell lung cancer based on CT images and clinicopathologic features.
Sun Z; Hu S; Ge Y; Wang J; Duan S; Song J; Hu C; Li Y
J Xray Sci Technol; 2020; 28(3):449-459. PubMed ID: 32176676
[TBL] [Abstract][Full Text] [Related]
5. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
[TBL] [Abstract][Full Text] [Related]
6. A Radiomics Signature in Preoperative Predicting Degree of Tumor Differentiation in Patients with Non-small Cell Lung Cancer.
Chen X; Fang M; Dong D; Wei X; Liu L; Xu X; Jiang X; Tian J; Liu Z
Acad Radiol; 2018 Dec; 25(12):1548-1555. PubMed ID: 29572049
[TBL] [Abstract][Full Text] [Related]
7. Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer.
Cong M; Yao H; Liu H; Huang L; Shi G
Medicine (Baltimore); 2020 May; 99(18):e20074. PubMed ID: 32358390
[TBL] [Abstract][Full Text] [Related]
8. Development of a predictive radiomics model for lymph node metastases in pre-surgical CT-based stage IA non-small cell lung cancer.
Cong M; Feng H; Ren JL; Xu Q; Cong L; Hou Z; Wang YY; Shi G
Lung Cancer; 2020 Jan; 139():73-79. PubMed ID: 31743889
[TBL] [Abstract][Full Text] [Related]
9. CT radiomics-based model for predicting TMB and immunotherapy response in non-small cell lung cancer.
Wang J; Wang J; Huang X; Zhou Y; Qi J; Sun X; Nie J; Hu Z; Wang S; Hong B; Wang H
BMC Med Imaging; 2024 Feb; 24(1):45. PubMed ID: 38360550
[TBL] [Abstract][Full Text] [Related]
10. CT-based radiomics signature to predict CD8+ tumor infiltrating lymphocytes in non-small-cell lung cancer.
Chen Y; Xu T; Jiang C; You S; Cheng Z; Gong J
Acta Radiol; 2023 Apr; 64(4):1390-1399. PubMed ID: 36120843
[TBL] [Abstract][Full Text] [Related]
11. CT-based radiomics signatures can predict the tumor response of non-small cell lung cancer patients treated with first-line chemotherapy and targeted therapy.
Yang F; Zhang J; Zhou L; Xia W; Zhang R; Wei H; Feng J; Zhao X; Jian J; Gao X; Yuan S
Eur Radiol; 2022 Mar; 32(3):1538-1547. PubMed ID: 34564744
[TBL] [Abstract][Full Text] [Related]
12. Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer.
Tao J; Lv R; Liang C; Fang J; Liu D; Lan X; Huang H; Zhang J
Acad Radiol; 2022 Feb; 29 Suppl 2():S62-S72. PubMed ID: 33402298
[TBL] [Abstract][Full Text] [Related]
13. CT-based radiomics signature: a potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma.
Zhou Y; He L; Huang Y; Chen S; Wu P; Ye W; Liu Z; Liang C
Abdom Radiol (NY); 2017 Jun; 42(6):1695-1704. PubMed ID: 28180924
[TBL] [Abstract][Full Text] [Related]
14. CT-based radiomics signature for differentiating Borrmann type IV gastric cancer from primary gastric lymphoma.
Ma Z; Fang M; Huang Y; He L; Chen X; Liang C; Huang X; Cheng Z; Dong D; Liang C; Xie J; Tian J; Liu Z
Eur J Radiol; 2017 Jun; 91():142-147. PubMed ID: 28629560
[TBL] [Abstract][Full Text] [Related]
15. [Application of CT-based radiomics in differentiating primary gastric lymphoma from Borrmann type IV gastric cancer].
Deng J; Tan Y; Gu Q; Rong P; Wang W; Liu S
Zhong Nan Da Xue Xue Bao Yi Xue Ban; 2019 Mar; 44(3):257-263. PubMed ID: 30971517
[TBL] [Abstract][Full Text] [Related]
16. Computed Tomography-Based Radiomic Features Could Potentially Predict Microsatellite Instability Status in Stage II Colorectal Cancer: A Preliminary Study.
Fan S; Li X; Cui X; Zheng L; Ren X; Ma W; Ye Z
Acad Radiol; 2019 Dec; 26(12):1633-1640. PubMed ID: 30929999
[TBL] [Abstract][Full Text] [Related]
17. Radiomics study for differentiating gastric cancer from gastric stromal tumor based on contrast-enhanced CT images.
Sun ZQ; Hu SD; Li J; Wang T; Duan SF; Wang J
J Xray Sci Technol; 2019; 27(6):1021-1031. PubMed ID: 31640109
[TBL] [Abstract][Full Text] [Related]
18. Radiomics Signatures of Computed Tomography Imaging for Predicting Risk Categorization and Clinical Stage of Thymomas.
Wang X; Sun W; Liang H; Mao X; Lu Z
Biomed Res Int; 2019; 2019():3616852. PubMed ID: 31275968
[TBL] [Abstract][Full Text] [Related]
19. Correlation between CT based radiomics features and gene expression data in non-small cell lung cancer.
Wang T; Gong J; Duan HH; Wang LJ; Ye XD; Nie SD
J Xray Sci Technol; 2019; 27(5):773-803. PubMed ID: 31450540
[TBL] [Abstract][Full Text] [Related]
20. Radiomics feature analysis and model research for predicting histopathological subtypes of non-small cell lung cancer on CT images: A multi-dataset study.
Song F; Song X; Feng Y; Fan G; Sun Y; Zhang P; Li J; Liu F; Zhang G
Med Phys; 2023 Jul; 50(7):4351-4365. PubMed ID: 36682051
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
