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Comparison of different methods of DatSCAN quantification
Rosemary J Morton1, Matthew J Guy, Ralf Clauss
1Department of Nuclear Medicine, Royal Surrey County Hospital, Guildford, Surrey, UK. rmorton@royalsurrey.nhs.uk
Nuclear Medicine Communications
|November 3, 2005
Summary
Quantifying DaTSCAN images aids in distinguishing Parkinson's syndrome from essential tremor. Both 2D (QuantiSPECT) and 3D (BRASS) methods show promise, with 3D offering better concordance but requiring more operator time.
Area of Science:
- Nuclear Medicine
- Neuroimaging
- Quantitative Analysis
Background:
- DaTSCAN imaging quantification aids in differentiating Parkinson's syndrome from essential tremor.
- Several software programs exist for assessing striatal uptake in DaTSCAN images.
Purpose of the Study:
- To compare the performance of two commercial DaTSCAN analysis programs: QuantiSPECT (2D) and BRASS (3D).
- To evaluate the concordance of these programs with visual assessment and determine their respective variabilities.
Main Methods:
- Visual assessment of DaTSCAN images by two nuclear medicine consultants for 22 patients (11 Parkinson's syndrome, 11 essential tremor).
- Processing of patient data using QuantiSPECT (2D) and BRASS (3D) software for striatal uptake quantification.
- Comparison of program results with visual assessment and assessment of inter- and intra-operator variability.
Main Results:
- All analyzed methods successfully distinguished between Parkinson's syndrome and essential tremor.
- A good correlation was observed between 2D and 3D processing methods.
- Operator intervention significantly influenced intra- and inter-operator variability.
Conclusions:
- Both QuantiSPECT and BRASS enable statistical differentiation between Parkinson's syndrome and essential tremor.
- QuantiSPECT requires strict operator protocols to minimize variability.
- BRASS (3D) demonstrated higher concordance with visual assessment than QuantiSPECT (2D), albeit with increased operator time.