Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

392 related articles for article (PubMed ID: 32396042)

  • 1. Preoperative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas.
    Kim H; Goo JM; Lee KH; Kim YT; Park CM
    Radiology; 2020 Jul; 296(1):216-224. PubMed ID: 32396042
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopathological features: a retrospective dual-institutional study.
    Lee T; Lee KH; Lee JH; Park S; Kim YT; Goo JM; Kim H
    Eur Radiol; 2024 May; 34(5):3431-3443. PubMed ID: 37861801
    [TBL] [Abstract][Full Text] [Related]  

  • 3. CT-defined Visceral Pleural Invasion in T1 Lung Adenocarcinoma: Lack of Relationship to Disease-Free Survival.
    Kim H; Goo JM; Kim YT; Park CM
    Radiology; 2019 Sep; 292(3):741-749. PubMed ID: 31361207
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.
    Feng B; Chen X; Chen Y; Lu S; Liu K; Li K; Liu Z; Hao Y; Li Z; Zhu Z; Yao N; Liang G; Zhang J; Long W; Liu X
    Eur Radiol; 2020 Dec; 30(12):6497-6507. PubMed ID: 32594210
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Computed Tomography-based Prognostication in Lung Adenocarcinomas through Histopathological Feature Learning: A Retrospective Multicenter Study.
    Lee KH; Lee JH; Park S; Jeon YK; Chung DH; Kim YT; Goo JM; Kim H
    Ann Am Thorac Soc; 2023 Jul; 20(7):1020-1028. PubMed ID: 37075305
    [No Abstract]   [Full Text] [Related]  

  • 6. Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma.
    Nam JG; Park S; Park CM; Jeon YK; Chung DH; Goo JM; Kim YT; Kim H
    Radiology; 2022 Nov; 305(2):441-451. PubMed ID: 35787198
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A quantitative imaging biomarker for predicting disease-free-survival-associated histologic subgroups in lung adenocarcinoma.
    Lu L; Wang D; Wang L; E L; Guo P; Li Z; Xiang J; Yang H; Li H; Yin S; Schwartz LH; Xie C; Zhao B
    Eur Radiol; 2020 Jul; 30(7):3614-3623. PubMed ID: 32086583
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Central Tumor Location at Chest CT Is an Adverse Prognostic Factor for Disease-Free Survival of Node-Negative Early-Stage Lung Adenocarcinomas.
    Choi H; Kim H; Park CM; Kim YT; Goo JM
    Radiology; 2021 May; 299(2):438-447. PubMed ID: 33620290
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning combined with radiomics may optimize the prediction in differentiating high-grade lung adenocarcinomas in ground glass opacity lesions on CT scans.
    Wang X; Zhang L; Yang X; Tang L; Zhao J; Chen G; Li X; Yan S; Li S; Yang Y; Kang Y; Li Q; Wu N
    Eur J Radiol; 2020 Aug; 129():109150. PubMed ID: 32604042
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Elastic Registration-driven Deep Learning for Longitudinal Assessment of Systemic Sclerosis Interstitial Lung Disease at CT.
    Chassagnon G; Vakalopoulou M; Régent A; Sahasrabudhe M; Marini R; Hoang-Thi TN; Dinh-Xuan AT; Dunogué B; Mouthon L; Paragios N; Revel MP
    Radiology; 2021 Jan; 298(1):189-198. PubMed ID: 33078999
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.
    Hosny A; Parmar C; Coroller TP; Grossmann P; Zeleznik R; Kumar A; Bussink J; Gillies RJ; Mak RH; Aerts HJWL
    PLoS Med; 2018 Nov; 15(11):e1002711. PubMed ID: 30500819
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A combination of preoperative CT findings and postoperative serum CEA levels improves recurrence prediction for stage I lung adenocarcinoma.
    Yamazaki M; Ishikawa H; Kunii R; Tasaki A; Sato S; Ikeda Y; Yoshimura N; Hashimoto T; Tsuchida M; Aoyama H
    Eur J Radiol; 2015 Jan; 84(1):178-184. PubMed ID: 25455413
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Lung Adenocarcinoma: CT Features Associated with Spread through Air Spaces.
    Kim SK; Kim TJ; Chung MJ; Kim TS; Lee KS; Zo JI; Shim YM
    Radiology; 2018 Dec; 289(3):831-840. PubMed ID: 30179108
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Consolidation-to-tumor ratio and tumor disappearance ratio are not independent prognostic factors for the patients with resected lung adenocarcinomas.
    Kim H; Goo JM; Kim YT; Park CM
    Lung Cancer; 2019 Nov; 137():123-128. PubMed ID: 31568889
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computer-aided Quantification of Pulmonary Fibrosis in Patients with Lung Cancer: Relationship to Disease-free Survival.
    Iwasawa T; Okudela K; Takemura T; Fukuda T; Matsushita S; Baba T; Ogura T; Tajiri M; Yoshizawa A
    Radiology; 2019 Aug; 292(2):489-498. PubMed ID: 31161974
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Predicting Invasiveness of Lung Adenocarcinoma at Chest CT with Deep Learning Ternary Classification Models.
    Pan Z; Hu G; Zhu Z; Tan W; Han W; Zhou Z; Song W; Yu Y; Song L; Jin Z
    Radiology; 2024 Apr; 311(1):e232057. PubMed ID: 38591974
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Outcome prediction in resectable lung adenocarcinoma patients: value of CT radiomics.
    Choe J; Lee SM; Do KH; Kim S; Choi S; Lee JG; Seo JB
    Eur Radiol; 2020 Sep; 30(9):4952-4963. PubMed ID: 32356158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Development of a novel combined nomogram integrating deep-learning-assisted CT texture and clinical-radiological features to predict the invasiveness of clinical stage IA part-solid lung adenocarcinoma: a multicentre study.
    Zuo Z; Zeng W; Peng K; Mao Y; Wu Y; Zhou Y; Qi W
    Clin Radiol; 2023 Oct; 78(10):e698-e706. PubMed ID: 37487842
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Extended application of a CT-based artificial intelligence prognostication model in patients with primary lung cancer undergoing stereotactic ablative radiotherapy.
    Kim H; Lee JH; Kim HJ; Park CM; Wu HG; Goo JM
    Radiother Oncol; 2021 Dec; 165():166-173. PubMed ID: 34748856
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 20.