BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

345 related articles for article (PubMed ID: 31201034)

  • 1. Value of TSCT Features for Differentiating Preinvasive and Minimally Invasive Adenocarcinoma From Invasive Adenocarcinoma Presenting as Subsolid Nodules Smaller Than 3 cm.
    Wang H; Weng Q; Hui J; Fang S; Wu X; Mao W; Chen M; Zheng L; Wang Z; Zhao Z; Zhou L; Tu J; Xu M; Huang Y; Ji J
    Acad Radiol; 2020 Mar; 27(3):395-403. PubMed ID: 31201034
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Imaging features of TSCT predict the classification of pulmonary preinvasive lesion, minimally and invasive adenocarcinoma presented as ground glass nodules.
    Liu Y; Sun H; Zhou F; Su C; Gao G; Ren S; Zhou C; Zhang Z; Shi J
    Lung Cancer; 2017 Jun; 108():192-197. PubMed ID: 28625634
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Thin-slice computed tomography enables to classify pulmonary subsolid nodules into pre-invasive lesion/minimally invasive adenocarcinoma and invasive adenocarcinoma: a retrospective study.
    Li M; Zhu L; Lv Y; Shen L; Han Y; Ye B
    Sci Rep; 2023 Apr; 13(1):6999. PubMed ID: 37117233
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Analysis of CT morphologic features and attenuation for differentiating among transient lesions, atypical adenomatous hyperplasia, adenocarcinoma in situ, minimally invasive and invasive adenocarcinoma presenting as pure ground-glass nodules.
    Qi L; Xue K; Li C; He W; Mao D; Xiao L; Hua Y; Li M
    Sci Rep; 2019 Oct; 9(1):14586. PubMed ID: 31601919
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomic signature based on CT imaging to distinguish invasive adenocarcinoma from minimally invasive adenocarcinoma in pure ground-glass nodules with pleural contact.
    Jiang Y; Che S; Ma S; Liu X; Guo Y; Liu A; Li G; Li Z
    Cancer Imaging; 2021 Jan; 21(1):1. PubMed ID: 33407884
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Morphological factors differentiating between early lung adenocarcinomas appearing as pure ground-glass nodules measuring ≤10 mm on thin-section computed tomography.
    Xiang W; Xing Y; Jiang S; Chen G; Mao H; Labh K; Jia X; Sun X
    Cancer Imaging; 2014 Nov; 14(1):33. PubMed ID: 25608623
    [TBL] [Abstract][Full Text] [Related]  

  • 7. HRCT morphological characteristics distinguishing minimally invasive pulmonary adenocarcinoma from invasive pulmonary adenocarcinoma appearing as subsolid nodules with a diameter of ≤3 cm.
    Yue X; Liu S; Liu S; Yang G; Li Z; Wang B; Zhou Q
    Clin Radiol; 2018 Apr; 73(4):411.e7-411.e15. PubMed ID: 29273229
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictors of Invasive Adenocarcinomas among Pure Ground-Glass Nodules Less Than 2 cm in Diameter.
    Hsu WC; Huang PC; Pan KT; Chuang WY; Wu CY; Wong HF; Yang CT; Wan YL
    Cancers (Basel); 2021 Aug; 13(16):. PubMed ID: 34439100
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Qualitative and quantitative imaging features of pulmonary subsolid nodules: differentiating invasive adenocarcinoma from minimally invasive adenocarcinoma and preinvasive lesions.
    Qi L; Lu W; Yang L; Tang W; Zhao S; Huang Y; Wu N; Wang J
    J Thorac Dis; 2019 Nov; 11(11):4835-4846. PubMed ID: 31903274
    [TBL] [Abstract][Full Text] [Related]  

  • 10. High resolution CT in differentiating minimally invasive component in early lung adenocarcinoma.
    Zhang Y; Qiang JW; Ye JD; Ye XD; Zhang J
    Lung Cancer; 2014 Jun; 84(3):236-41. PubMed ID: 24679953
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Whole-Lesion Computed Tomography-Based Entropy Parameters for the Differentiation of Minimally Invasive and Invasive Adenocarcinomas Appearing as Pulmonary Subsolid Nodules.
    Chen X; Feng B; Chen Y; Hao Y; Duan X; Cui E; Liu Z; Zhang C; Long W
    J Comput Assist Tomogr; 2019; 43(5):817-824. PubMed ID: 31343995
    [TBL] [Abstract][Full Text] [Related]  

  • 12. HRCT features distinguishing pre-invasive from invasive pulmonary adenocarcinomas appearing as ground-glass nodules.
    Zhang Y; Shen Y; Qiang JW; Ye JD; Zhang J; Zhao RY
    Eur Radiol; 2016 Sep; 26(9):2921-8. PubMed ID: 26662263
    [TBL] [Abstract][Full Text] [Related]  

  • 13. CT features and quantitative analysis of subsolid nodule lung adenocarcinoma for pathological classification prediction.
    Li X; Zhang W; Yu Y; Zhang G; Zhou L; Wu Z; Liu B
    BMC Cancer; 2020 Jan; 20(1):60. PubMed ID: 31992239
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT Characteristics for Predicting Invasiveness in Pulmonary Pure Ground-Glass Nodules.
    Chu ZG; Li WJ; Fu BJ; Lv FJ
    AJR Am J Roentgenol; 2020 Aug; 215(2):351-358. PubMed ID: 32348187
    [No Abstract]   [Full Text] [Related]  

  • 15. Computed Tomography Findings for Predicting Invasiveness of Lung Adenocarcinomas Manifesting as Pure Ground-Glass Nodules.
    Park J; Doo KW; Sung YE; Jung JI; Chang S
    Can Assoc Radiol J; 2023 Feb; 74(1):137-146. PubMed ID: 35840350
    [No Abstract]   [Full Text] [Related]  

  • 16. CT quantitative parameters to predict the invasiveness of lung pure ground-glass nodules (pGGNs).
    Han L; Zhang P; Wang Y; Gao Z; Wang H; Li X; Ye Z
    Clin Radiol; 2018 May; 73(5):504.e1-504.e7. PubMed ID: 29397913
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-based differentiation of invasive adenocarcinomas from preinvasive or minimally invasive lesions among pulmonary subsolid nodules.
    Park S; Park G; Lee SM; Kim W; Park H; Jung K; Seo JB
    Eur Radiol; 2021 Aug; 31(8):6239-6247. PubMed ID: 33555355
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Value of CT Features on Differential Diagnosis of Pulmonary Subsolid Nodules and Degree of invasion Prediction in Pulmonary Adenocarcinoma].
    Guo F; Li X; Wang X; Zheng W; Wang Q; Song W; Yu T; Fan Y; Wang Y
    Zhongguo Fei Ai Za Zhi; 2018 Jun; 21(6):451-457. PubMed ID: 29945703
    [TBL] [Abstract][Full Text] [Related]  

  • 19. [Differential diagnosis of the MDCT features between lung adenocarcinoma preinvasive lesions and minimally invasive adenocarcinoma appearing as ground-glass nodules].
    Liu J; Li W; Huang Y; Mu D; Yu H; Li S
    Zhonghua Zhong Liu Za Zhi; 2015 Aug; 37(8):611-6. PubMed ID: 26714603
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiological prediction of tumor invasiveness of lung adenocarcinoma on thin-section CT.
    Yanagawa M; Johkoh T; Noguchi M; Morii E; Shintani Y; Okumura M; Hata A; Fujiwara M; Honda O; Tomiyama N
    Medicine (Baltimore); 2017 Mar; 96(11):e6331. PubMed ID: 28296757
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 18.