BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

200 related articles for article (PubMed ID: 35641339)

  • 1. MRI-based radiomics for the diagnosis of triple-negative breast cancer: a meta-analysis.
    Sha YS; Chen JF
    Clin Radiol; 2022 Sep; 77(9):655-663. PubMed ID: 35641339
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Convolutional neural network-based artificial intelligence for the diagnosis of early esophageal cancer based on endoscopic images: A meta-analysis.
    Ma H; Wang L; Chen Y; Tian L
    Saudi J Gastroenterol; 2022; 28(5):332-340. PubMed ID: 35848703
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Systematic Review and Meta-analysis of the Malignant Ultrasound Features of Triple-Negative Breast Cancer.
    Tian L; Wang L; Qin Y; Cai J
    J Ultrasound Med; 2020 Oct; 39(10):2013-2025. PubMed ID: 32339328
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MRI-Based Radiomics Methods for Predicting Ki-67 Expression in Breast Cancer: A Systematic Review and Meta-analysis.
    Tabnak P; HajiEsmailPoor Z; Baradaran B; Pashazadeh F; Aghebati Maleki L
    Acad Radiol; 2024 Mar; 31(3):763-787. PubMed ID: 37925343
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnostic value of ultrasound elastography in triple negative breast cancer: A meta-analysis.
    Wang F; Wang H
    Medicine (Baltimore); 2023 Feb; 102(6):e32879. PubMed ID: 36820576
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Meta-analysis of machine learning models for the diagnosis of central precocious puberty based on clinical, hormonal (laboratory) and imaging data.
    Chen Y; Huang X; Tian L
    Front Endocrinol (Lausanne); 2024; 15():1353023. PubMed ID: 38590824
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Radiomics Analysis Based on Automatic Image Segmentation of DCE-MRI for Predicting Triple-Negative and Nontriple-Negative Breast Cancer.
    Ma M; Gan L; Jiang Y; Qin N; Li C; Zhang Y; Wang X
    Comput Math Methods Med; 2021; 2021():2140465. PubMed ID: 34422088
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictive value of triple negative breast cancer based on DCE-MRI multi-phase full-volume ROI clinical radiomics model.
    Qi X; Wang W; Pan S; Liu G; Xia L; Duan S; He Y
    Acta Radiol; 2024 Feb; 65(2):173-184. PubMed ID: 38017694
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Structural or/and functional MRI-based machine learning techniques for attention-deficit/hyperactivity disorder diagnosis: A systematic review and meta-analysis.
    Tian L; Zheng H; Zhang K; Qiu J; Song X; Li S; Zeng Z; Ran B; Deng X; Cai J
    J Affect Disord; 2024 Jun; 355():459-469. PubMed ID: 38580035
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diagnostic value of the vascular index measured by superb microvascular imaging for evaluating breast tumors: a meta-analysis.
    Luo J; Li T; Liu Y
    Med Ultrason; 2023 Dec; 25(4):415-422. PubMed ID: 37931014
    [TBL] [Abstract][Full Text] [Related]  

  • 11. The diagnostic performance of radiomics-based MRI in predicting microvascular invasion in hepatocellular carcinoma: A meta-analysis.
    Liang G; Yu W; Liu S; Zhang M; Xie M; Liu M; Liu W
    Front Oncol; 2022; 12():960944. PubMed ID: 36798691
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A meta-analysis of MRI radiomics-based diagnosis for BI-RADS 4 breast lesions.
    Lin J; Zheng H; Jia Q; Shi J; Wang S; Wang J; Ge M
    J Cancer Res Clin Oncol; 2024 May; 150(5):254. PubMed ID: 38748373
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A pilot study of radiomics technology based on X-ray mammography in patients with triple-negative breast cancer.
    Zhang HX; Sun ZQ; Cheng YG; Mao GQ
    J Xray Sci Technol; 2019; 27(3):485-492. PubMed ID: 31081797
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Diagnostic accuracy of S-Detect to breast cancer on ultrasonography: A meta-analysis (PRISMA).
    Wang X; Meng S
    Medicine (Baltimore); 2022 Aug; 101(34):e30359. PubMed ID: 36042648
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Application of mammography-based radiomics signature for preoperative prediction of triple-negative breast cancer.
    Ge S; Yixing Y; Jia D; Ling Y
    BMC Med Imaging; 2022 Sep; 22(1):166. PubMed ID: 36104679
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI radiomics for the preoperative evaluation of lymphovascular invasion in breast cancer: A meta-analysis.
    Ma Q; Li Z; Li W; Chen Q; Liu X; Feng W; Lei J
    Eur J Radiol; 2023 Nov; 168():111127. PubMed ID: 37801997
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning or radiomics based on CT for predicting the response of gastric cancer to neoadjuvant chemotherapy: a meta-analysis and systematic review.
    Bao Z; Du J; Zheng Y; Guo Q; Ji R
    Front Oncol; 2024; 14():1363812. PubMed ID: 38601765
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The value of serum Cyfra21-1 as a biomarker in the diagnosis of patients with non-small cell lung cancer: a meta-analysis.
    Cui C; Sun X; Zhang J; Han D; Gu J
    J Cancer Res Ther; 2014 Nov; 10 Suppl():C131-4. PubMed ID: 25450270
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Diagnostic performance of ADC values and MRI-based radiomics analysis for detecting lymph node metastasis in patients with cervical cancer: A systematic review and meta-analysis.
    Ren J; Li Y; Liu XY; Zhao J; He YL; Jin ZY; Xue HD
    Eur J Radiol; 2022 Nov; 156():110504. PubMed ID: 36108474
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic accuracy of shear wave elastography for endometrial cancer: A meta-analysis.
    Bian J; Li J; Liu Y
    Medicine (Baltimore); 2023 Jan; 102(4):e32700. PubMed ID: 36705368
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.