Assessment of pituitary adenoma volumetric change using longitudinal MR image registration
Creators
- 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/s00234-011-0894-7Additional details
Identifiers
Publishing Information
- Journal Title
- Neuroradiology
- Journal Volume
- 54
- Journal Issue
- 5
- Journal Page Range
- p. 435-443
- ISSN
- 0028-3940
- CODEN
- NRDYAB
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 43066738
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ADENOMAS; AUTOMATION; BRAIN; COMPARATIVE EVALUATIONS; CONTRAST MEDIA; IMAGE PROCESSING; MONITORING; NMR IMAGING; PITUITARY GLAND; RELAXATION TIME; THREE-DIMENSIONAL CALCULATIONS; TWO-DIMENSIONAL CALCULATIONS; WEIGHTING FUNCTIONS
- Descriptors DEC
- BODY; CARCINOMAS; CENTRAL NERVOUS SYSTEM; DIAGNOSTIC TECHNIQUES; DISEASES; ENDOCRINE GLANDS; EVALUATION; FUNCTIONS; GLANDS; NEOPLASMS; NERVOUS SYSTEM; ORGANS; PROCESSING