BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

230 related articles for article (PubMed ID: 31463822)

  • 1. 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]  

  • 2. Radiomic Signatures Derived from Diffusion-Weighted Imaging for the Assessment of Breast Cancer Receptor Status and Molecular Subtypes.
    Leithner D; Bernard-Davila B; Martinez DF; Horvat JV; Jochelson MS; Marino MA; Avendano D; Ochoa-Albiztegui RE; Sutton EJ; Morris EA; Thakur SB; Pinker K
    Mol Imaging Biol; 2020 Apr; 22(2):453-461. PubMed ID: 31209778
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomic signatures with contrast-enhanced magnetic resonance imaging for the assessment of breast cancer receptor status and molecular subtypes: initial results.
    Leithner D; Horvat JV; Marino MA; Bernard-Davila B; Jochelson MS; Ochoa-Albiztegui RE; Martinez DF; Morris EA; Thakur S; Pinker K
    Breast Cancer Res; 2019 Sep; 21(1):106. PubMed ID: 31514736
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Radiomics for Tumor Characterization in Breast Cancer Patients: A Feasibility Study Comparing Contrast-Enhanced Mammography and Magnetic Resonance Imaging.
    Marino MA; Leithner D; Sung J; Avendano D; Morris EA; Pinker K; Jochelson MS
    Diagnostics (Basel); 2020 Jul; 10(7):. PubMed ID: 32708512
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A multicentric study of radiomics and artificial intelligence analysis on contrast-enhanced mammography to identify different histotypes of breast cancer.
    Petrillo A; Fusco R; Petrosino T; Vallone P; Granata V; Rubulotta MR; Pariante P; Raiano N; Scognamiglio G; Fanizzi A; Massafra R; Lafranceschina M; La Forgia D; Greco L; Ferranti FR; De Soccio V; Vidiri A; Botta F; Dominelli V; Cassano E; Sorgente E; Pecori B; Cerciello V; Boldrini L
    Radiol Med; 2024 Jun; 129(6):864-878. PubMed ID: 38755477
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [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]  

  • 7. 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]  

  • 8. Computer-aided diagnosis of contrast-enhanced spectral mammography: A feasibility study.
    Patel BK; Ranjbar S; Wu T; Pockaj BA; Li J; Zhang N; Lobbes M; Zhang B; Mitchell JR
    Eur J Radiol; 2018 Jan; 98():207-213. PubMed ID: 29279165
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
    Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
    Breast Cancer Res; 2017 May; 19(1):57. PubMed ID: 28521821
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI.
    Ni M; Zhou X; Liu J; Yu H; Gao Y; Zhang X; Li Z
    BMC Cancer; 2020 Nov; 20(1):1073. PubMed ID: 33167903
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Breast Cancer Molecular Subtype Prediction by Mammographic Radiomic Features.
    Ma W; Zhao Y; Ji Y; Guo X; Jian X; Liu P; Wu S
    Acad Radiol; 2019 Feb; 26(2):196-201. PubMed ID: 29526548
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Lesion attention guided neural network for contrast-enhanced mammography-based biomarker status prediction in breast cancer.
    Qian N; Jiang W; Wu X; Zhang N; Yu H; Guo Y
    Comput Methods Programs Biomed; 2024 Jun; 250():108194. PubMed ID: 38678959
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and Validation of MRI Radiomics Models to Differentiate HER2-Zero, -Low, and -Positive Breast Cancer.
    Peng Y; Zhang X; Qiu Y; Li B; Yang Z; Huang J; Lin J; Zheng C; Hu L; Shen J
    AJR Am J Roentgenol; 2024 Apr; 222(4):e2330603. PubMed ID: 38265001
    [No Abstract]   [Full Text] [Related]  

  • 14. HER2-positive breast cancer patients: correlation between mammographic and pathological findings.
    Radenkovic S; Konjevic G; Isakovic A; Stevanovic P; Gopcevic K; Jurisic V
    Radiat Prot Dosimetry; 2014 Nov; 162(1-2):125-8. PubMed ID: 25063784
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of breast cancer molecular subtypes using radiomics signatures of synthetic mammography from digital breast tomosynthesis.
    Son J; Lee SE; Kim EK; Kim S
    Sci Rep; 2020 Dec; 10(1):21566. PubMed ID: 33299040
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A rapid volume of interest-based approach of radiomics analysis of breast MRI for tumor decoding and phenotyping of breast cancer.
    Demircioglu A; Grueneisen J; Ingenwerth M; Hoffmann O; Pinker-Domenig K; Morris E; Haubold J; Forsting M; Nensa F; Umutlu L
    PLoS One; 2020; 15(6):e0234871. PubMed ID: 32589681
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. MR and mammographic imaging features of HER2-positive breast cancers according to hormone receptor status: a retrospective comparative study.
    Song SE; Bae MS; Chang JM; Cho N; Ryu HS; Moon WK
    Acta Radiol; 2017 Jul; 58(7):792-799. PubMed ID: 27754920
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The volumetric-tumour histogram-based analysis of intravoxel incoherent motion and non-Gaussian diffusion MRI: association with prognostic factors in HER2-positive breast cancer.
    You C; Li J; Zhi W; Chen Y; Yang W; Gu Y; Peng W
    J Transl Med; 2019 Jul; 17(1):182. PubMed ID: 31262334
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI.
    Chang RF; Chen HH; Chang YC; Huang CS; Chen JH; Lo CM
    Magn Reson Imaging; 2016 Jul; 34(6):809-819. PubMed ID: 26968141
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.