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Journal Abstract Search

367 related items for PubMed ID: 20851939

  • 1. Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
    Park SH, Moon WK, Cho N, Song IC, Chang JM, Park IA, Han W, Noh DY.
    Radiology; 2010 Oct; 257(1):56-63. PubMed ID: 20851939
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  • 2. Apparent diffusion coefficient as an MR imaging biomarker of low-risk ductal carcinoma in situ: a pilot study.
    Iima M, Le Bihan D, Okumura R, Okada T, Fujimoto K, Kanao S, Tanaka S, Fujimoto M, Sakashita H, Togashi K.
    Radiology; 2011 Aug; 260(2):364-72. PubMed ID: 21633054
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  • 3. Diffusion-weighted MRI and MR- volumetry--in the evaluation of tumor response after preoperative chemoradiotherapy in patients with locally advanced rectal cancer.
    Birlik B, Obuz F, Elibol FD, Celik AO, Sokmen S, Terzi C, Sagol O, Sarioglu S, Gorken I, Oztop I.
    Magn Reson Imaging; 2015 Feb; 33(2):201-12. PubMed ID: 25460330
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  • 4. Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.
    Ei Khouli RH, Jacobs MA, Mezban SD, Huang P, Kamel IR, Macura KJ, Bluemke DA.
    Radiology; 2010 Jul; 256(1):64-73. PubMed ID: 20574085
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  • 5. Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
    Richard R, Thomassin I, Chapellier M, Scemama A, de Cremoux P, Varna M, Giacchetti S, Espié M, de Kerviler E, de Bazelaire C.
    Eur Radiol; 2013 Sep; 23(9):2420-31. PubMed ID: 23652844
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  • 12. Value of Dynamic Contrast-enhanced and Diffusion-weighted MR Imaging in the Detection of Pathologic Complete Response in Cervical Cancer after Neoadjuvant Therapy: A Retrospective Observational Study.
    Jalaguier-Coudray A, Villard-Mahjoub R, Delouche A, Delarbre B, Lambaudie E, Houvenaeghel G, Minsat M, Tallet A, Sabatier R, Thomassin-Naggara I.
    Radiology; 2017 Aug; 284(2):432-442. PubMed ID: 28301309
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  • 13. Diffusion-weighted magnetic resonance imaging for pretreatment prediction and monitoring of treatment response of patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.
    Nilsen L, Fangberget A, Geier O, Olsen DR, Seierstad T.
    Acta Oncol; 2010 Apr; 49(3):354-60. PubMed ID: 20397769
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  • 14. Quantitative Assessment of Rectal Cancer Response to Neoadjuvant Combined Chemotherapy and Radiation Therapy: Comparison of Three Methods of Positioning Region of Interest for ADC Measurements at Diffusion-weighted MR Imaging.
    Blazic IM, Lilic GB, Gajic MM.
    Radiology; 2017 Feb; 282(2):418-428. PubMed ID: 27253423
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  • 15. 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
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  • 18. Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer.
    Surov A, Wienke A, Meyer HJ.
    Breast; 2020 Oct; 53():59-67. PubMed ID: 32652460
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  • 19. T1 hyperintense renal lesions: characterization with diffusion-weighted MR imaging versus contrast-enhanced MR imaging.
    Kim S, Jain M, Harris AB, Lee VS, Babb JS, Sigmund EE, Rueff LE, Taouli B.
    Radiology; 2009 Jun; 251(3):796-807. PubMed ID: 19380690
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