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HomeRadiologyVol. 266, No. 3 PreviousNext Reviews and CommentaryEditorialsReproducibility of Dynamic Contrast-enhanced MR Imaging: Why We Should CareVicky Goh , Tobias Schaeffter, Martin LeachVicky Goh , Tobias Schaeffter, Martin LeachAuthor AffiliationsFrom the Division of Imaging Sciences and Biomedical Engineering, King’s College London, Imaging 2, Level 1, Lambeth Wing, St Thomas’s Hospital, Lambeth Palace Rd, London SE1 7EH, England (V.G., T.S.); Department of Radiology, Guy’s and St Thomas’ NHS Foundation Trust, London, England (V.G.); and Cancer Research UK and EPSRC Cancer Imaging Centre, Institute of Cancer Research and Royal Marsden NHS Foundation Trust, Sutton, Surrey, England (M.L.).Address correspondence to V.G. (e-mail: [email protected]).Vicky Goh Tobias SchaeffterMartin LeachPublished Online:Mar 1 2013https://doi.org/10.1148/radiol.12122447MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In AbstractThe results of two studies published in this issue of Radiology stress the difficulties of performing dynamic contrast-enhanced MR imaging across different commercially available software platforms in clinical practice, but more important suggest a potential solution.References1 Messiou C, Orton M, Ang JEet al.. Advanced solid tumors treated with cediranib: comparison of dynamic contrast-enhanced MR imaging and CT as markers of vascular activity. Radiology 2012;265(2):426–436. Link, Google Scholar2 Nathan P, Zweifel M, Padhani ARet al.. Phase I trial of combretastatin A4 phosphate (CA4P) in combination with bevacizumab in patients with advanced cancer. Clin Cancer Res 2012;18(12):3428–3439. 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Perfusion characteristics in the female pelvis by using multiple computer-aided diagnosis perfusion analysis solutions. Radiology 2013;266(3):801–811. Link, Google Scholar7 Heye T, Merkle EM, Reiner CSet al.. Reproducibility of dynamic contrast-enhanced MR imaging. II. Comparison of intra- and interobserver variability with manual region of interest placement versus semiautomatic lesion segmentation and histogram analysis. Radiology 2013;266(3):812–821. Link, Google Scholar8 Goh V, Halligan S, Bartram CI. Quantitative tumor perfusion assessment with multidetector CT: are measurements from two commercial software packages interchangeable? Radiology 2007;242(3):777–782. Link, Google Scholar9 Goh V, Halligan S, Gharpuray A, Wellsted D, Sundin J, Bartram CI. Quantitative assessment of colorectal cancer tumor vascular parameters by using perfusion CT: influence of tumor region of interest. Radiology 2008;247(3):726–732. Link, Google Scholar10 Miles KA, Lee TY, Goh Vet al.. Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomography. Eur Radiol 2012;22(7):1430–1441. Crossref, Medline, Google ScholarArticle HistoryReceived November 1, 2012; revision requested November 3; final revision received and accepted November 19.Published online: Mar 2013Published in print: Mar 2013 FiguresReferencesRelatedDetailsCited ByBritish Journal of Cancer, Vol. 125, No. 5Interreader Variability of Dynamic Contrast-enhanced MRI of Recurrent Glioblastoma: The Multicenter ACRIN 6677/RTOG 0625 StudyDaniel P. Barboriak, Zheng Zhang, Pratikkumar Desai, Bradley S. Snyder, Yair Safriel, Robert C. McKinstry, Felix Bokstein, Gregory Sorensen, Mark R. Gilbert, Jerrold L. 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