INTRODUCTION: Change detection is a crucial factor in monitoring of slowly evolving pathologies. The objective of the study was to test a semi-automatic method applied on longitudinal MRI monitoring of volume change in pituitary macroadenomas. METHODS: The proposed method is based on a visual comparison of geometrically corrected, co-registered, intensity-normalized contrast-enhanced (CE) 3D GRE T1-weighted images. Qualitative volume changes based on this applied method were compared with experts' readings of conventional pre- and post-CE 2D T1-weighted images. Magnetic resonance (MR) imaging was performed two to four times in 13 patients with a total combination of 29 time points. RESULTS: Compared to conventional 2D MR readings, a diagnosis of tumor growth (yes/no) was changed in 5 of 13 patients (38%) at 9 of the 29 combinations of time points (31%) using the 3D-based semi-automatic method. With manual tumor tracings as reference, McNemar's test showed a significant difference between the two methods. CONCLUSION: Visual comparison of geometrically corrected, intensity-normalized, and affine-aligned longitudinal 3D images may enable more accurate assessment of qualitative volumetric change in pituitary adenomas than conventional reading of 2D images.
INTRODUCTION: Change detection is a crucial factor in monitoring of slowly evolving pathologies. The objective of the study was to test a semi-automatic method applied on longitudinal MRI monitoring of volume change in pituitary macroadenomas. METHODS: The proposed method is based on a visual comparison of geometrically corrected, co-registered, intensity-normalized contrast-enhanced (CE) 3D GRE T1-weighted images. Qualitative volume changes based on this applied method were compared with experts' readings of conventional pre- and post-CE 2D T1-weighted images. Magnetic resonance (MR) imaging was performed two to four times in 13 patients with a total combination of 29 time points. RESULTS: Compared to conventional 2D MR readings, a diagnosis of tumor growth (yes/no) was changed in 5 of 13 patients (38%) at 9 of the 29 combinations of time points (31%) using the 3D-based semi-automatic method. With manual tumor tracings as reference, McNemar's test showed a significant difference between the two methods. CONCLUSION: Visual comparison of geometrically corrected, intensity-normalized, and affine-aligned longitudinal 3D images may enable more accurate assessment of qualitative volumetric change in pituitary adenomas than conventional reading of 2D images.
Authors: A G Sorensen; S Patel; C Harmath; S Bridges; J Synnott; A Sievers; Y H Yoon; E J Lee; M C Yang; R F Lewis; G J Harris; M Lev; P W Schaefer; B R Buchbinder; G Barest; K Yamada; J Ponzo; H Y Kwon; J Gemmete; J Farkas; A L Tievsky; R B Ziegler; M R Salhus; R Weisskoff Journal: J Clin Oncol Date: 2001-01-15 Impact factor: 44.544
Authors: P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther Journal: J Natl Cancer Inst Date: 2000-02-02 Impact factor: 13.506
Authors: Dominic Holland; James B Brewer; Donald J Hagler; Christine Fennema-Notestine; Christine Fenema-Notestine; Anders M Dale Journal: Proc Natl Acad Sci U S A Date: 2009-12-08 Impact factor: 11.205
Authors: Pamela U Freda; Laurence Katznelson; Aart Jan van der Lely; Carlos M Reyes; Shouhao Zhao; Daniel Rabinowitz Journal: J Clin Endocrinol Metab Date: 2005-05-10 Impact factor: 5.958
Authors: Birgit B Ertl-Wagner; Jeffrey D Blume; Donald Peck; Jayaram K Udupa; Benjamin Herman; Anthony Levering; Ilona M Schmalfuss Journal: Eur Radiol Date: 2008-10-17 Impact factor: 5.315
Authors: A Colao; G Cerbone; P Cappabianca; D Ferone; A Alfieri; F Di Salle; A Faggiano; B Merola; E de Divitiis; G Lombardi Journal: J Endocrinol Invest Date: 1998-05 Impact factor: 4.256
Authors: Marco Losa; Micol Valle; Pietro Mortini; Alberto Franzin; Camillo Ferrari da Passano; Marco Cenzato; Stefania Bianchi; Piero Picozzi; Massimo Giovanelli Journal: J Neurosurg Date: 2004-03 Impact factor: 5.115