Published May 2012 | Version v1
Journal article

Assessment of pituitary adenoma volumetric change using longitudinal MR image registration

  • 1. Oslo University Hospital-Rikshospitalet, Clinic for Imaging and Intervention, Oslo (Norway)
  • 2. Oslo University Hospital-Rikshospitalet, The Interventional Centre, Oslo (NO)
  • 3. Oslo University Hospital-Rikshospitalet, Department of Medical Physics, Oslo (Norway)
  • 4. University of California, Department of Neurosciences, San Diego, CA (US)
  • 5. University of California, Department of Radiology, San Diego, CA (US)
  • 6. University of Oslo, Department of Physics, Oslo (NO)
  • 7. Oslo University Hospital-Rikshospitalet, Department of Medical Physics, Oslo (NO)

Description

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. 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. 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. 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. (orig.)

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00234-011-0894-7

Additional details

Identifiers

Publishing Information

Journal Title
Neuroradiology
Journal Volume
54
Journal Issue
5
Journal Page Range
p. 435-443
ISSN
0028-3940
CODEN
NRDYAB