BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 31564982)

  • 1. Added value of histogram analysis of apparent diffusion coefficient maps for differentiating triple-negative breast cancer from other subtypes of breast cancer on standard MRI.
    Liu HL; Zong M; Wei H; Wang C; Lou JJ; Wang SQ; Zou QG; Jiang YN
    Cancer Manag Res; 2019; 11():8239-8247. PubMed ID: 31564982
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Triple-negative invasive breast cancer on dynamic contrast-enhanced and diffusion-weighted MR imaging: comparison with other breast cancer subtypes.
    Youk JH; Son EJ; Chung J; Kim JA; Kim EK
    Eur Radiol; 2012 Aug; 22(8):1724-34. PubMed ID: 22527371
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Rim sign and histogram analysis of apparent diffusion coefficient values on diffusion-weighted MRI in triple-negative breast cancer: Comparison with ER-positive subtype.
    Choi Y; Kim SH; Youn IK; Kang BJ; Park WC; Lee A
    PLoS One; 2017; 12(5):e0177903. PubMed ID: 28542297
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Correlation of dynamic contrast-enhanced MRI and diffusion-weighted MR imaging with prognostic factors and subtypes of breast cancers.
    Chen H; Li W; Wan C; Zhang J
    Front Oncol; 2022; 12():942943. PubMed ID: 35992872
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Orbital Indeterminate Lesions in Adults: Combined Magnetic Resonance Morphometry and Histogram Analysis of Apparent Diffusion Coefficient Maps for Predicting Malignancy.
    Xu XQ; Hu H; Su GY; Zhang L; Liu H; Hong XN; Shi HB; Wu FY
    Acad Radiol; 2016 Feb; 23(2):200-8. PubMed ID: 26625705
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative predicting malignancy in breast mass-like lesions: value of adding histogram analysis of apparent diffusion coefficient maps to dynamic contrast-enhanced magnetic resonance imaging for improving confidence level.
    Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
    Br J Radiol; 2017 Nov; 90(1079):20170394. PubMed ID: 28876982
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI.
    Ohashi A; Kataoka M; Iima M; Honda M; Ota R; Urushibata Y; Dominik Nickel M; Toi M; Zackrisson S; Nakamoto Y
    Eur Radiol; 2023 Nov; 33(11):8132-8141. PubMed ID: 37286791
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Whole-lesion histogram analysis of the apparent diffusion coefficient: Evaluation of the correlation with subtypes of mucinous breast carcinoma.
    Guo Y; Kong QC; Zhu YQ; Liu ZZ; Peng LR; Tang WJ; Yang RM; Xie JJ; Liu CL
    J Magn Reson Imaging; 2018 Feb; 47(2):391-400. PubMed ID: 28640538
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of clinical and magnetic resonance imaging findings of triple-negative breast cancer with non-triple-negative tumours.
    Yetkin Dİ; Akpınar MG; Durhan G; Demirkazik FB
    Pol J Radiol; 2021; 86():e269-e276. PubMed ID: 34136044
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiological indeterminate vestibular schwannoma and meningioma in cerebellopontine angle area: differentiating using whole-tumor histogram analysis of apparent diffusion coefficient.
    Xu XQ; Li Y; Hong XN; Wu FY; Shi HB
    Int J Neurosci; 2017 Feb; 127(2):183-190. PubMed ID: 26961388
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation between malignant and benign breast masses: combination of semi-quantitative analysis on DCE-MRI and histogram analysis of ADC maps.
    Liu HL; Zong M; Wei H; Lou JJ; Wang SQ; Zou QG; Shi HB; Jiang YN
    Clin Radiol; 2018 May; 73(5):460-466. PubMed ID: 29295753
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.
    Xie T; Zhao Q; Fu C; Bai Q; Zhou X; Li L; Grimm R; Liu L; Gu Y; Peng W
    Eur Radiol; 2019 May; 29(5):2535-2544. PubMed ID: 30402704
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Whole-tumor histogram analysis of apparent diffusion coefficient in differentiating intracranial solitary fibrous tumor/hemangiopericytoma from angiomatous meningioma.
    He W; Xiao X; Li X; Guo Y; Guo L; Liu X; Xu Y; Zhou J; Wu Y
    Eur J Radiol; 2019 Mar; 112():186-191. PubMed ID: 30777209
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A Whole-Tumor Histogram Analysis of Apparent Diffusion Coefficient Maps for Differentiating Thymic Carcinoma from Lymphoma.
    Zhang W; Zhou Y; Xu XQ; Kong LY; Xu H; Yu TF; Shi HB; Feng Q
    Korean J Radiol; 2018; 19(2):358-365. PubMed ID: 29520195
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Triple-negative breast cancer on contrast-enhanced MRI and synthetic MRI: A comparison with non-triple-negative breast carcinoma.
    Matsuda M; Tsuda T; Ebihara R; Toshimori W; Okada K; Takeda S; Okumura A; Shiraishi Y; Suekuni H; Kamei Y; Kurata M; Kitazawa R; Mochizuki T; Kido T
    Eur J Radiol; 2021 Sep; 142():109838. PubMed ID: 34217136
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Can whole-tumor apparent diffusion coefficient histogram analysis be helpful to evaluate breast phyllode tumor grades?
    Guo Y; Tang WJ; Kong QC; Liang YY; Han XR; Zheng BJ; Sun L; Wei XH; Jin Z; Liu CL
    Eur J Radiol; 2019 May; 114():25-31. PubMed ID: 31005172
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Histogram Analysis and Visual Heterogeneity of Diffusion-Weighted Imaging with Apparent Diffusion Coefficient Mapping in the Prediction of Molecular Subtypes of Invasive Breast Cancers.
    Horvat JV; Iyer A; Morris EA; Apte A; Bernard-Davila B; Martinez DF; Leithner D; Sutton OM; Ochoa-Albiztegui RE; Giri D; Pinker K; Thakur SB
    Contrast Media Mol Imaging; 2019; 2019():2972189. PubMed ID: 31819738
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Prediction of prognostic factors in breast cancer: A noninvasive method utilizing histogram parameters derived from Adc maps.
    Tanişman Ö; Kiziltepe FT; Yildirim Ç; Coşar ZS
    Heliyon; 2023 May; 9(5):e16282. PubMed ID: 37251865
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterization of breast cancer subtypes based on quantitative assessment of intratumoral heterogeneity using dynamic contrast-enhanced and diffusion-weighted magnetic resonance imaging.
    Kim JJ; Kim JY; Suh HB; Hwangbo L; Lee NK; Kim S; Lee JW; Choo KS; Nam KJ; Kang T; Park H
    Eur Radiol; 2022 Feb; 32(2):822-833. PubMed ID: 34345946
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Dynamic contrast-enhanced magnetic resonance imaging features and apparent diffusion coefficient value of HER2-positive/HR-negative breast carcinoma.
    Chen P; Zhao S; Guo W; Shao G
    Quant Imaging Med Surg; 2023 Aug; 13(8):4816-4825. PubMed ID: 37581065
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.