BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 36104679)

  • 1. 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]  

  • 2. 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]  

  • 3. 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]  

  • 4. Diagnosis of triple negative breast cancer based on radiomics signatures extracted from preoperative contrast-enhanced chest computed tomography.
    Feng Q; Hu Q; Liu Y; Yang T; Yin Z
    BMC Cancer; 2020 Jun; 20(1):579. PubMed ID: 32571245
    [TBL] [Abstract][Full Text] [Related]  

  • 5. [The value of CT radiomics in the prediction of EGFR mutation in lung cancer].
    Yu YX; Wang XM; Shi C; Hu S; Hu CH
    Zhonghua Yi Xue Za Zhi; 2020 Mar; 100(9):690-695. PubMed ID: 32187913
    [No Abstract]   [Full Text] [Related]  

  • 6. Diagnostic Value of Radiomics Analysis in Contrast-Enhanced Spectral Mammography for Identifying Triple-Negative Breast Cancer.
    Zhang Y; Liu F; Zhang H; Ma H; Sun J; Zhang R; Song L; Shi H
    Front Oncol; 2021; 11():773196. PubMed ID: 35004294
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Utilizing grayscale ultrasound-based radiomics nomogram for preoperative identification of triple negative breast cancer.
    Xu M; Zeng S; Li F; Liu G
    Radiol Med; 2024 Jan; 129(1):29-37. PubMed ID: 37919521
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Mammography-based radiomics for predicting the risk of breast cancer recurrence: a multicenter study.
    Mao N; Yin P; Zhang H; Zhang K; Song X; Xing D; Chu T
    Br J Radiol; 2021 Nov; 94(1127):20210348. PubMed ID: 34520235
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Contrast-Enhanced Mammography and Radiomics Analysis for Noninvasive Breast Cancer Characterization: Initial Results.
    Marino MA; Pinker K; Leithner D; Sung J; Avendano D; Morris EA; Jochelson M
    Mol Imaging Biol; 2020 Jun; 22(3):780-787. PubMed ID: 31463822
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluating the HER-2 status of breast cancer using mammography radiomics features.
    Zhou J; Tan H; Bai Y; Li J; Lu Q; Chen R; Zhang M; Feng Q; Wang M
    Eur J Radiol; 2019 Dec; 121():108718. PubMed ID: 31711023
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Contrast-Enhanced Mammography Radiomics Analysis for Preoperative Prediction of Breast Cancer Molecular Subtypes.
    Zhu S; Wang S; Guo S; Wu R; Zhang J; Kong M; Pan L; Gu Y; Yu S
    Acad Radiol; 2023 Dec; ():. PubMed ID: 38142176
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.
    Ma M; Gan L; Liu Y; Jiang Y; Xin L; Liu Y; Qin N; Cheng Y; Liu Q; Xu L; Zhang Y; Wang X; Zhang X; Ye J; Wang X
    Eur J Radiol; 2022 Jan; 146():110095. PubMed ID: 34890936
    [TBL] [Abstract][Full Text] [Related]  

  • 14. [Value of the application of enhanced CT radiomics and machine learning in preoperative prediction of microvascular invasion in hepatocellular carcinoma].
    Yu YX; Hu CH; Wang XM; Fan YF; Hu MJ; Shi C; Hu S; Zhu M; Zhang Y
    Zhonghua Yi Xue Za Zhi; 2021 May; 101(17):1239-1245. PubMed ID: 34865392
    [No Abstract]   [Full Text] [Related]  

  • 15. Predicting the Level of Tumor-Infiltrating Lymphocytes in Patients With Breast Cancer: Usefulness of Mammographic Radiomics Features.
    Yu H; Meng X; Chen H; Liu J; Gao W; Du L; Chen Y; Wang Y; Liu X; Liu B; Fan J; Ma G
    Front Oncol; 2021; 11():628577. PubMed ID: 33777776
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Preoperative prediction of histologic grade in invasive breast cancer by using contrast-enhanced spectral mammography-based radiomics.
    Mao N; Jiao Z; Duan S; Xu C; Xie H
    J Xray Sci Technol; 2021; 29(5):763-772. PubMed ID: 34151880
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Preoperative prediction of extrathyroidal extension: radiomics signature based on multimodal ultrasound to papillary thyroid carcinoma.
    Wan F; He W; Zhang W; Zhang Y; Zhang H; Guang Y
    BMC Med Imaging; 2023 Jul; 23(1):96. PubMed ID: 37474935
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Multiparametric MR-based feature fusion radiomics combined with ADC maps-based tumor proliferative burden in distinguishing TNBC versus non-TNBC.
    Zhang W; Liang F; Zhao Y; Li J; He C; Zhao Y; Lai S; Xu Y; Ding W; Wei X; Jiang X; Yang R; Zhen X
    Phys Med Biol; 2024 Feb; 69(5):. PubMed ID: 38306970
    [No Abstract]   [Full Text] [Related]  

  • 20. Mammography-based radiomics nomogram: a potential biomarker to predict axillary lymph node metastasis in breast cancer.
    Tan H; Wu Y; Bao F; Zhou J; Wan J; Tian J; Lin Y; Wang M
    Br J Radiol; 2020 Jul; 93(1111):20191019. PubMed ID: 32401540
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.