OBJECTIVES: The objectives of this study were to determine if magnetic resonance (MR) estimates of quantitative tissue microvascular characteristics from regions of interest (ROI) limited to the tumor periphery provided a better correlation with tumor histologic grade than ROI defined for the whole tumor in cross-section. METHODS: A metaanalysis was based on 98 quantitative MR image breast tumor characterizations acquired in 3 separate experimental studies using identical methods for tumor induction and contrast enhancement. RESULTS: The endothelial transfer coefficient (K) of albumin (Gd-DTPA)30 from the tumor periphery correlated (r = 0.784) significantly more strongly (P < 0.001) with the pathologic tumor grade than K derived from the whole tumor (r = 0.604). K estimates, either from the tumor periphery or from the whole tumor, correlated significantly more strongly with histologic grade (P < 0.01) than MR image estimates of fractional plasma volume (fPV) from either tumor periphery (r = 0.368) or whole tumor (r = 0.323). CONCLUSIONS: K estimates from the tumor periphery were the best of these measurable MR image microvascular characteristics for predicting the histologic grade.
OBJECTIVES: The objectives of this study were to determine if magnetic resonance (MR) estimates of quantitative tissue microvascular characteristics from regions of interest (ROI) limited to the tumor periphery provided a better correlation with tumor histologic grade than ROI defined for the whole tumor in cross-section. METHODS: A metaanalysis was based on 98 quantitative MR image breast tumor characterizations acquired in 3 separate experimental studies using identical methods for tumor induction and contrast enhancement. RESULTS: The endothelial transfer coefficient (K) of albumin (Gd-DTPA)30 from the tumor periphery correlated (r = 0.784) significantly more strongly (P < 0.001) with the pathologic tumor grade than K derived from the whole tumor (r = 0.604). K estimates, either from the tumor periphery or from the whole tumor, correlated significantly more strongly with histologic grade (P < 0.01) than MR image estimates of fractional plasma volume (fPV) from either tumor periphery (r = 0.368) or whole tumor (r = 0.323). CONCLUSIONS: K estimates from the tumor periphery were the best of these measurable MR image microvascular characteristics for predicting the histologic grade.
Authors: Clemens C Cyran; Yanjun Fu; Victor Rogut; Bundit Chaopathomkul; Michael F Wendland; David M Shames; Robert C Brasch Journal: Acad Radiol Date: 2013-10 Impact factor: 3.173
Authors: Clemens C Cyran; Barbara Sennino; Yanjun Fu; Victor Rogut; David M Shames; Bundit Chaopathomkul; Michael F Wendland; Donald M McDonald; Robert C Brasch; Hans-Juergen Raatschen Journal: Eur J Radiol Date: 2011-09-01 Impact factor: 3.528
Authors: Clemens C Cyran; Barbara Sennino; Bundit Chaopathomkul; Yanjun Fu; Victor S Rogut; David M Shames; Michael F Wendland; Donald M McDonald; Robert C Brasch Journal: Eur Radiol Date: 2008-07-30 Impact factor: 5.315
Authors: Clemens C Cyran; Barbara Sennino; Bundit Chaopathomkul; Yanjun Fu; Victor Rogut; David M Shames; Michael F Wendland; Donald M McDonald; Robert C Brasch Journal: Invest Radiol Date: 2008-05 Impact factor: 6.016
Authors: Hans-Juergen Raatschen; Gerhard H Simon; Yanjun Fu; Barbara Sennino; David M Shames; Michael F Wendland; Donald M McDonald; Robert C Brasch Journal: Radiology Date: 2008-03-27 Impact factor: 11.105
Authors: Clemens C Cyran; Bettina Schwarz; Philipp M Paprottka; Steven Sourbron; Jobst C von Einem; Olaf Dietrich; Rabea Hinkel; Dirk A Clevert; Christiane J Bruns; Maximilian F Reiser; Konstantin Nikolaou; Bernd J Wintersperger Journal: Cancer Imaging Date: 2013-12-16 Impact factor: 3.909
Authors: Ralf S Eschbach; Wolfgang P Fendler; Philipp M Kazmierczak; Marcus Hacker; Axel Rominger; Janette Carlsen; Heidrun Hirner-Eppeneder; Jessica Schuster; Matthias Moser; Lukas Havla; Moritz J Schneider; Michael Ingrisch; Lukas Spaeth; Maximilian F Reiser; Konstantin Nikolaou; Clemens C Cyran Journal: PLoS One Date: 2015-02-10 Impact factor: 3.240
Authors: Ralf Stefan Eschbach; Dirk-Andre Clevert; Heidrun Hirner-Eppeneder; Michael Ingrisch; Matthias Moser; Jessica Schuster; Dina Tadros; Moritz Schneider; Philipp Maximilian Kazmierczak; Maximilian Reiser; Clemens C Cyran Journal: PLoS One Date: 2017-01-06 Impact factor: 3.240