226 related articles for article (PubMed ID: 30643066)
1. [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]
2. [Predicting response to non-small cell lung cancer immunotherapy using pre-treatment contrast-enhanced CT texture-based classification].
Shen LL; Tao GY; Fu HC; Liu XM; Ye XD; Ye JD
Zhonghua Zhong Liu Za Zhi; 2021 May; 43(5):541-545. PubMed ID: 34034473
[No Abstract] [Full Text] [Related]
3. 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]
4. 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]
5. [The value of CT radiomics in the prediction of EGFR mutation in lung cancer].
Yu YX; Wang XM; Shi C; Hu S; Hu CH
Zhonghua Yi Xue Za Zhi; 2020 Mar; 100(9):690-695. PubMed ID: 32187913
[No Abstract] [Full Text] [Related]
6. Pre-Immunotherapy Contrast-Enhanced CT Texture-Based Classification: A Useful Approach to Non-Small Cell Lung Cancer Immunotherapy Efficacy Prediction.
Shen L; Fu H; Tao G; Liu X; Yuan Z; Ye X
Front Oncol; 2021; 11():591106. PubMed ID: 33968716
[No Abstract] [Full Text] [Related]
7. 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]
8. 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]
9. Improved window adaptive gray level co-occurrence matrix for extraction and analysis of texture characteristics of pulmonary nodules.
Chen H; Li W; Zhu Y
Comput Methods Programs Biomed; 2021 Sep; 208():106263. PubMed ID: 34265545
[TBL] [Abstract][Full Text] [Related]
10. Radiomics nomogram for the prediction of Ki-67 index in advanced non-small cell lung cancer based on dual-phase enhanced computed tomography.
Sun H; Zhou P; Chen G; Dai Z; Song P; Yao J
J Cancer Res Clin Oncol; 2023 Sep; 149(11):9301-9315. PubMed ID: 37204513
[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. 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]
13. 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]
14. Radiomics signatures based on contrast-enhanced CT for preoperative prediction of the Ki-67 proliferation state in gastrointestinal stromal tumors.
Liu M; Bian J
Jpn J Radiol; 2023 Jul; 41(7):741-751. PubMed ID: 36652141
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. CT Radiomics Model for Predicting the Ki-67 Index of Lung Cancer： An Exploratory Study.
Fu Q; Liu SL; Hao DP; Hu YB; Liu XJ; Zhang Z; Wang WH; Tang XY; Zhang CY; Liu SH
Front Oncol; 2021; 11():743490. PubMed ID: 34707991
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. CT Image-Based Texture Analysis to Predict Microvascular Invasion in Primary Hepatocellular Carcinoma.
Li Y; Xu X; Weng S; Yan C; Chen J; Ye R
J Digit Imaging; 2020 Dec; 33(6):1365-1375. PubMed ID: 32968880
[TBL] [Abstract][Full Text] [Related]
19. Radiomics signature: a biomarker for the preoperative discrimination of lung invasive adenocarcinoma manifesting as a ground-glass nodule.
Fan L; Fang M; Li Z; Tu W; Wang S; Chen W; Tian J; Dong D; Liu S
Eur Radiol; 2019 Feb; 29(2):889-897. PubMed ID: 29967956
[TBL] [Abstract][Full Text] [Related]
20. CT Radiomics Signature of Tumor and Peritumoral Lung Parenchyma to Predict Nonsmall Cell Lung Cancer Postsurgical Recurrence Risk.
Akinci D'Antonoli T; Farchione A; Lenkowicz J; Chiappetta M; Cicchetti G; Martino A; Ottavianelli A; Manfredi R; Margaritora S; Bonomo L; Valentini V; Larici AR
Acad Radiol; 2020 Apr; 27(4):497-507. PubMed ID: 31285150
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
