BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

566 related articles for article (PubMed ID: 28253722)

  • 1. Evaluation of the efficacy of neoadjuvant chemotherapy for breast cancer using diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging.
    Xu HD; Zhang YQ
    Neoplasma; 2017; 64(3):430-436. PubMed ID: 28253722
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
    Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
    Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.
    Li X; Abramson RG; Arlinghaus LR; Kang H; Chakravarthy AB; Abramson VG; Farley J; Mayer IA; Kelley MC; Meszoely IM; Means-Powell J; Grau AM; Sanders M; Yankeelov TE
    Invest Radiol; 2015 Apr; 50(4):195-204. PubMed ID: 25360603
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.
    Li W; Newitt DC; Wilmes LJ; Jones EF; Arasu V; Gibbs J; La Yun B; Li E; Partridge SC; Kornak J; ; Esserman LJ; Hylton NM
    J Magn Reson Imaging; 2019 Dec; 50(6):1742-1753. PubMed ID: 31026118
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Role of the Apparent Diffusion Coefficient in the Prediction of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer.
    Bufi E; Belli P; Costantini M; Cipriani A; Di Matteo M; Bonatesta A; Franceschini G; Terribile D; Mulé A; Nardone L; Bonomo L
    Clin Breast Cancer; 2015 Oct; 15(5):370-80. PubMed ID: 25891905
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer.
    Liang X; Chen X; Yang Z; Liao Y; Wang M; Li Y; Fan W; Dai Z; Zhang Y
    BMC Cancer; 2022 Dec; 22(1):1250. PubMed ID: 36460972
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Diagnostic performance of contrast-enhanced dynamic and diffusion-weighted MR imaging in the assessment of tumor response to neoadjuvant therapy in muscle-invasive bladder cancer.
    Ahmed SA; Taher MGA; Ali WA; Ebrahem MAES
    Abdom Radiol (NY); 2021 Jun; 46(6):2712-2721. PubMed ID: 33547919
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.
    Hahn SY; Ko EY; Han BK; Shin JH; Ko ES
    Eur J Radiol; 2014 Feb; 83(2):283-8. PubMed ID: 24315957
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging: Initial results.
    Furman-Haran E; Nissan N; Ricart-Selma V; Martinez-Rubio C; Degani H; Camps-Herrero J
    J Magn Reson Imaging; 2018 Apr; 47(4):1080-1090. PubMed ID: 28901594
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Diffusion-weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy.
    Liu S; Ren R; Chen Z; Wang Y; Fan T; Li C; Zhang P
    J Magn Reson Imaging; 2015 Sep; 42(3):779-87. PubMed ID: 25580585
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of breast cancer phenotype on diagnostic performance of MRI in the prediction to response to neoadjuvant treatment.
    Bufi E; Belli P; Di Matteo M; Terribile D; Franceschini G; Nardone L; Petrone G; Bonomo L
    Eur J Radiol; 2014 Sep; 83(9):1631-8. PubMed ID: 24938669
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Diffusion-weighted imaging reflects pathological therapeutic response and relapse in breast cancer.
    Fujimoto H; Kazama T; Nagashima T; Sakakibara M; Suzuki TH; Okubo Y; Shiina N; Fujisaki K; Ota S; Miyazaki M
    Breast Cancer; 2014 Nov; 21(6):724-31. PubMed ID: 23400545
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Diffusion-weighted and dynamic contrast-enhanced MRI in evaluation of early treatment effects during neoadjuvant chemotherapy in breast cancer patients.
    Jensen LR; Garzon B; Heldahl MG; Bathen TF; Lundgren S; Gribbestad IS
    J Magn Reson Imaging; 2011 Nov; 34(5):1099-109. PubMed ID: 22002757
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and MRS.
    Shin HJ; Baek HM; Ahn JH; Baek S; Kim H; Cha JH; Kim HH
    NMR Biomed; 2012 Dec; 25(12):1349-59. PubMed ID: 22566277
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Evaluation of pathologic response of breast cancer to neoadjuvant chemotherapy with magnetic resonance diffusion weighted imaging].
    Luo Y; Yu J; Xu Z; Zeng H; Chen H
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2014 Dec; 31(6):1336-41. PubMed ID: 25868255
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging--prospective assessment.
    Tateishi U; Miyake M; Nagaoka T; Terauchi T; Kubota K; Kinoshita T; Daisaki H; Macapinlac HA
    Radiology; 2012 Apr; 263(1):53-63. PubMed ID: 22438441
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Texture Analysis with 3.0-T MRI for Association of Response to Neoadjuvant Chemotherapy in Breast Cancer.
    Eun NL; Kang D; Son EJ; Park JS; Youk JH; Kim JA; Gweon HM
    Radiology; 2020 Jan; 294(1):31-41. PubMed ID: 31769740
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Apparent Diffusion Coefficient Value to Evaluate Tumor Response After Neoadjuvant Chemotherapy in Patients with Breast Cancer.
    Ramírez-Galván YA; Cardona-Huerta S; Elizondo-Riojas G; Álvarez-Villalobos NA
    Acad Radiol; 2018 Feb; 25(2):179-187. PubMed ID: 29033147
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Contrast-enhanced dynamic and diffusion-weighted MR imaging at 3.0T to assess aggressiveness of bladder cancer.
    Zhou G; Chen X; Zhang J; Zhu J; Zong G; Wang Z
    Eur J Radiol; 2014 Nov; 83(11):2013-8. PubMed ID: 25213829
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting liver metastasis of gastrointestinal tract cancer by diffusion-weighted imaging of apparent diffusion coefficient values.
    Zheng DX; Meng SC; Liu QJ; Li CT; Shang XD; Zhu YS; Bai TJ; Xu SM
    World J Gastroenterol; 2016 Mar; 22(10):3031-7. PubMed ID: 26973399
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 29.