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Semi‐automated primary tumor volume measurements by dynamic contrast‐enhanced MRI in patients with head and neck cancer
Author(s) -
Lodder Wouter L.,
Gilhuijs Kenneth G. A.,
Lange Charlotte A. H.,
Pameijer Frank A.,
Balm Alfons J. M.,
van den Brekel Michiel W. M.
Publication year - 2013
Publication title -
head and neck
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.012
H-Index - 127
eISSN - 1097-0347
pISSN - 1043-3074
DOI - 10.1002/hed.22988
Subject(s) - medicine , head and neck , dynamic contrast enhanced mri , nuclear medicine , head and neck cancer , pearson product moment correlation coefficient , correlation , dynamic contrast , magnetic resonance imaging , radiology , radiation therapy , surgery , mathematics , statistics , geometry
Background Tumor volume is a significant prognostic factor in the treatment of malignant head and neck tumors. Unfortunately, it is not routinely measured because of the workload involved. Methods Twenty‐one patients, between 2009 and 2010, were studied. Dynamic contrast‐enhanced MRI (DCE‐MRI) at 3.0T was performed. A workstation previously developed for semi‐automated segmentation of breast cancers on DCE‐MRI was used to segment the head and neck cancers. The Pearson correlation analysis was used to assess the agreement between volumetric measurements and the manually derived gross tumor volume (GTV). Results In 90.5% of the patients (19 of 21) correlation could be made between DCE‐MRI and the manually derived GTV. The Pearson correlation coefficient between the automatically derived tumor volume at DCE‐MRI and the manually derived GTVs was R 2 = 0.95 ( p < .001). Conclusion Semi‐automated tumor volumes on DCE‐MRI were representative of those derived from the manually derived GTV (R 2 = 0.95; p < .001). © 2012 Wiley Periodicals, Inc. Head Neck, 2013