BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

199 related articles for article (PubMed ID: 36480027)

  • 1. Improving the efficiency of identifying malignant pulmonary nodules before surgery via a combination of artificial intelligence CT image recognition and serum autoantibodies.
    Ding Y; Zhang J; Zhuang W; Gao Z; Kuang K; Tian D; Deng C; Wu H; Chen R; Lu G; Chen G; Mendogni P; Migliore M; Kang MW; Kanzaki R; Tang Y; Yang J; Shi Q; Qiao G
    Eur Radiol; 2023 May; 33(5):3092-3102. PubMed ID: 36480027
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Preoperative diagnosis of malignant pulmonary nodules in lung cancer screening with a radiomics nomogram.
    Liu A; Wang Z; Yang Y; Wang J; Dai X; Wang L; Lu Y; Xue F
    Cancer Commun (Lond); 2020 Jan; 40(1):16-24. PubMed ID: 32125097
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Invasiveness assessment by artificial intelligence against intraoperative frozen section for pulmonary nodules ≤ 3 cm.
    Zhao ZR; Yu YH; Lin ZC; Ma DH; Lin YB; Hu J; Luo QQ; Li GF; Chen C; Yang YL; Yang JC; Lin YB; Long H
    J Cancer Res Clin Oncol; 2023 Aug; 149(10):7759-7765. PubMed ID: 37016100
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Diagnosis of Benign and Malignant Pulmonary Ground-Glass Nodules Using Computed Tomography Radiomics Parameters.
    Liang L; Zhang H; Lei H; Zhou H; Wu Y; Shen J
    Technol Cancer Res Treat; 2022; 21():15330338221119748. PubMed ID: 36259167
    [No Abstract]   [Full Text] [Related]  

  • 5. Validation of a Deep Learning Algorithm for the Detection of Malignant Pulmonary Nodules in Chest Radiographs.
    Yoo H; Kim KH; Singh R; Digumarthy SR; Kalra MK
    JAMA Netw Open; 2020 Sep; 3(9):e2017135. PubMed ID: 32970157
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic value of circulating genetically abnormal cells to support computed tomography for benign and malignant pulmonary nodules.
    Yang H; Chen H; Zhang G; Li H; Ni R; Yu Y; Zhang Y; Wu Y; Liu H
    BMC Cancer; 2022 Apr; 22(1):382. PubMed ID: 35397524
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Noninvasive diagnosis of pulmonary nodules using a circulating tsRNA-based nomogram.
    Wang Q; Song X; Zhao F; Chen Q; Xia W; Dong G; Xu L; Mao Q; Jiang F
    Cancer Sci; 2023 Dec; 114(12):4607-4621. PubMed ID: 37770420
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The diagnostic value of a seven-autoantibody panel and a nomogram with a scoring table for predicting the risk of non-small-cell lung cancer.
    Wang W; Zhuang R; Ma H; Fang L; Wang Z; Lv W; Hu J
    Cancer Sci; 2020 May; 111(5):1699-1710. PubMed ID: 32108977
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Establishment of a Predictive Model for Surgical Resection of Ground-Glass Nodules.
    Liu CL; Zhang F; Cai Q; Shen YY; Chen SQ
    J Am Coll Radiol; 2019 Apr; 16(4 Pt A):435-445. PubMed ID: 30466899
    [TBL] [Abstract][Full Text] [Related]  

  • 10. A predictive nomogram for two-year growth of CT-indeterminate small pulmonary nodules.
    Xue LM; Li Y; Zhang Y; Wang SC; Zhang RY; Ye JD; Yu H; Qiang JW
    Eur Radiol; 2022 Apr; 32(4):2672-2682. PubMed ID: 34677668
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Diagnostic value of artificial intelligence based on computed tomography (CT) density in benign and malignant pulmonary nodules: a retrospective investigation.
    Fan W; Liu H; Zhang Y; Chen X; Huang M; Xu B
    PeerJ; 2024; 12():e16577. PubMed ID: 38188164
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [Performance of Deep-learning-based Artificial Intelligence on Detection of Pulmonary Nodules in Chest CT].
    Li X; Guo F; Zhou Z; Zhang F; Wang Q; Peng Z; Su D; Fan Y; Wang Y
    Zhongguo Fei Ai Za Zhi; 2019 Jun; 22(6):336-340. PubMed ID: 31196366
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Artificial intelligence for detecting small FDG-positive lung nodules in digital PET/CT: impact of image reconstructions on diagnostic performance.
    Schwyzer M; Martini K; Benz DC; Burger IA; Ferraro DA; Kudura K; Treyer V; von Schulthess GK; Kaufmann PA; Huellner MW; Messerli M
    Eur Radiol; 2020 Apr; 30(4):2031-2040. PubMed ID: 31822970
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CT and CEA-based machine learning model for predicting malignant pulmonary nodules.
    Liu M; Zhou Z; Liu F; Wang M; Wang Y; Gao M; Sun H; Zhang X; Yang T; Ji L; Li J; Si Q; Dai L; Ouyang S
    Cancer Sci; 2022 Dec; 113(12):4363-4373. PubMed ID: 36056603
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Establishment and Verification of Benign and Malignant Prediction Model of 
Subcentimeter Pulmonary Ground Glass Nodules Based on HRCT].
    Chen Z; Wang G; Wu H; Wu M; Wu X; Xu M; Xie M
    Zhongguo Fei Ai Za Zhi; 2023 May; 26(5):377-385. PubMed ID: 37316447
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study.
    Wu G; Woodruff HC; Sanduleanu S; Refaee T; Jochems A; Leijenaar R; Gietema H; Shen J; Wang R; Xiong J; Bian J; Wu J; Lambin P
    Eur Radiol; 2020 May; 30(5):2680-2691. PubMed ID: 32006165
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Quantifying invasiveness of clinical stage IA lung adenocarcinoma with computed tomography texture features.
    Qiu ZB; Zhang C; Chu XP; Cai FY; Yang XN; Wu YL; Zhong WZ
    J Thorac Cardiovasc Surg; 2022 Mar; 163(3):805-815.e3. PubMed ID: 33541730
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Evaluation of Radiomics Models Based on Computed Tomography for Distinguishing Between Benign and Malignant Thyroid Nodules.
    Kong D; Zhang J; Shan W; Duan S; Guo L
    J Comput Assist Tomogr; 2022 Nov-Dec 01; 46(6):978-985. PubMed ID: 35759774
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer.
    Massion PP; Healey GF; Peek LJ; Fredericks L; Sewell HF; Murray A; Robertson JF
    J Thorac Oncol; 2017 Mar; 12(3):578-584. PubMed ID: 27615397
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.