Presentation on theme: "DATSCAN Quantitation Vs Image Reading Mike Avison Bradford Royal Infirmary."— Presentation transcript:
DATSCAN Quantitation Vs Image Reading Mike Avison Bradford Royal Infirmary
Overview Simple quantitation of SPECT slices implemented on Odyssey How reproducible is it? How does it correlate with radiologist reports?
The Acquisition Procedure Acquisition protocol –185MBq imaging 3 hrs PI –LEHR collimators –128x128 matrix –Orbit “as-is” 13cm radius or less – 360º data in 120 frames of 20sec –Mag x2 (i.e. 2.34 mm pixel size) –Brain-reach offset in Y direction
Reconstruction (workbench macro) Iterative reconstruciton –OS ML-EM – all –From vertex to lowest slice
Quantitative Macro (Pixie) Features –Background information poster at the start –Analyses headers compares with specification –Simple to operate –2 rectangular regions pre-set size –Elliptical background region pre-set size
Background information about the processing procedure. Especially the expected slice and ROI dimensions
Give the operator instructions about selecting slices for processing
Controversy – why subtract background? FOR –The box contains some non-striatal tissues –The scale is amplified:- No uptake = 0 Double bg counts = 1 AGAINST –Its cross sectional imaging so there is no overlying background
Controversy, shaped ROIs? –Use shaped ROIs to cut out extra-striatal tissues? Which bits to include? What margin? Operator dependant!
Reproducibility? Intra-operator repeatability –One patient processed 10 times –LEFT : 0.90 - 0.92 –RIGHT : 0.95 – 0.96 –GLOBAL: 0.93 – 0.94 –Standard deviation ~= 0.07% of the mean
Reproducibility? Selection of Slice Set How sensitive is processing to differences in slice selection? Selected 5 consecutive positions for central slice set (slices 9-13) Range of results = 11% of the mean. LESSON: display max and mean counts for each slice on display during slice selection
Reproducibility? Inter-operator variation 2 operators processed all studies –Maximum difference = 0.18 (19% of mean) –Std Dev of differences = 0.10 (11% of mean)
Quantitation vs Qualitative Report Combined ratio n = 30
Conclusion Robust quantitative system with low intra- and inter-operator variation. Good (but not perfect) separation of normal from abnormal Useful when apparent uptake contradicts shape (dot, comma paradigm)
Next Step Audit of patient outcome in progress. Compare uptake with outcome instead of qualitative image interpretation.