These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

323 related articles for article (PubMed ID: 33187676)

  • 1. A radiomics study to predict invasive pulmonary adenocarcinoma appearing as pure ground-glass nodules.
    Cai J; Liu H; Yuan H; Wu Y; Xu Q; Lv Y; Li J; Fu J; Ye J
    Clin Radiol; 2021 Feb; 76(2):143-151. PubMed ID: 33187676
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Radiomics for lung adenocarcinoma manifesting as pure ground-glass nodules: invasive prediction.
    Sun Y; Li C; Jin L; Gao P; Zhao W; Ma W; Tan M; Wu W; Duan S; Shan Y; Li M
    Eur Radiol; 2020 Jul; 30(7):3650-3659. PubMed ID: 32162003
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predicting invasion in early-stage ground-glass opacity pulmonary adenocarcinoma: a radiomics-based machine learning approach.
    Bin J; Wu M; Huang M; Liao Y; Yang Y; Shi X; Tao S
    BMC Med Imaging; 2024 Sep; 24(1):240. PubMed ID: 39272029
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Histogram analysis combined with morphological characteristics to discriminate adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma appearing as pure ground-glass nodule.
    Zhang T; Pu XH; Yuan M; Zhong Y; Li H; Wu JF; Yu TF
    Eur J Radiol; 2019 Apr; 113():238-244. PubMed ID: 30927953
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Computed tomography radiomics-based distinction of invasive adenocarcinoma from minimally invasive adenocarcinoma manifesting as pure ground-glass nodules with bubble-like signs.
    Jiang Y; Xiong Z; Zhao W; Zhang J; Guo Y; Li G; Li Z
    Gen Thorac Cardiovasc Surg; 2022 Oct; 70(10):880-890. PubMed ID: 35301662
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The predictive value of CT-based radiomics in differentiating indolent from invasive lung adenocarcinoma in patients with pulmonary nodules.
    She Y; Zhang L; Zhu H; Dai C; Xie D; Xie H; Zhang W; Zhao L; Zou L; Fei K; Sun X; Chen C
    Eur Radiol; 2018 Dec; 28(12):5121-5128. PubMed ID: 29869172
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Multi-classification model incorporating radiomics and clinic-radiological features for predicting invasiveness and differentiation of pulmonary adenocarcinoma nodules.
    Sun H; Zhang C; Ouyang A; Dai Z; Song P; Yao J
    Biomed Eng Online; 2023 Nov; 22(1):112. PubMed ID: 38037082
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Prediction of the Invasiveness of Ground-Glass Nodules in Lung Adenocarcinoma by Radiomics Analysis Using High-Resolution Computed Tomography Imaging.
    Zhang T; Li X; Liu J
    Cancer Control; 2022; 29():10732748221089408. PubMed ID: 35848489
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Marginal radiomics features as imaging biomarkers for pathological invasion in lung adenocarcinoma.
    Cho HH; Lee G; Lee HY; Park H
    Eur Radiol; 2020 May; 30(5):2984-2994. PubMed ID: 31965255
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Computer-aided diagnosis of ground-glass opacity pulmonary nodules using radiomic features analysis.
    Gong J; Liu J; Hao W; Nie S; Wang S; Peng W
    Phys Med Biol; 2019 Jul; 64(13):135015. PubMed ID: 31167172
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Differentiating the Invasiveness of Lung Adenocarcinoma Manifesting as Ground Glass Nodules: Combination of Dual-energy CT Parameters and Quantitative-semantic Features.
    Chen M; Ding L; Deng S; Li J; Li X; Jian M; Xu Y; Chen Z; Yan C
    Acad Radiol; 2024 Jul; 31(7):2962-2972. PubMed ID: 38508939
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A triple-classification for the evaluation of lung nodules manifesting as pure ground-glass sign: a CT-based radiomic analysis.
    Yu Z; Xu C; Zhang Y; Ji F
    BMC Med Imaging; 2022 Jul; 22(1):133. PubMed ID: 35896975
    [TBL] [Abstract][Full Text] [Related]  

  • 15. CT-based radiomics and machine learning to predict spread through air space in lung adenocarcinoma.
    Jiang C; Luo Y; Yuan J; You S; Chen Z; Wu M; Wang G; Gong J
    Eur Radiol; 2020 Jul; 30(7):4050-4057. PubMed ID: 32112116
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics signature on CECT as a predictive factor for invasiveness of lung adenocarcinoma manifesting as subcentimeter ground glass nodules.
    Chen W; Li M; Mao D; Ge X; Wang J; Tan M; Ma W; Huang X; Lu J; Li C; Hua Y; Wu H
    Sci Rep; 2021 Feb; 11(1):3633. PubMed ID: 33574448
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of solid and micropapillary components in lung invasive adenocarcinoma: radiomics analysis from high-spatial-resolution CT data with 1024 matrix.
    Ninomiya K; Yanagawa M; Tsubamoto M; Sato Y; Suzuki Y; Hata A; Kikuchi N; Yoshida Y; Yamagata K; Doi S; Ogawa R; Tokuda Y; Kido S; Tomiyama N
    Jpn J Radiol; 2024 Jun; 42(6):590-598. PubMed ID: 38413550
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. HRCT texture analysis for pure or part-solid ground-glass nodules: distinguishability of adenocarcinoma in situ or minimally invasive adenocarcinoma from invasive adenocarcinoma.
    Yagi T; Yamazaki M; Ohashi R; Ogawa R; Ishikawa H; Yoshimura N; Tsuchida M; Ajioka Y; Aoyama H
    Jpn J Radiol; 2018 Feb; 36(2):113-121. PubMed ID: 29273964
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomic-Based Quantitative CT Analysis of Pure Ground-Glass Nodules to Predict the Invasiveness of Lung Adenocarcinoma.
    Xu F; Zhu W; Shen Y; Wang J; Xu R; Qutesh C; Song L; Gan Y; Pu C; Hu H
    Front Oncol; 2020; 10():872. PubMed ID: 32850301
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 17.