Tossici-Bolt Livia, Hoffmann Sandra M A, Kemp Paul M, Mehta Rajnikant L, Fleming John S
Department of Medical Physics and Bioengineering, Southampton University Hospital NHS Trust, Southampton, UK.
Eur J Nucl Med Mol Imaging. 2006 Dec;33(12):1491-9. doi: 10.1007/s00259-006-0155-x. Epub 2006 Jul 21.
A technique is described for accurate quantification of the specific binding ratio (SBR) in [(123)I]FP-CIT SPECT brain images.
Using a region of interest (ROI) approach, the SBR is derived from a measure of total striatal counts that takes into account the partial volume effect. Operator intervention is limited to the placement of the striatal ROIs, a task facilitated by the use of geometrical template regions. The definition of the image for the analysis is automated and includes transaxial slices within a "slab" approximately 44 mm thick centred on the highest striatal signal. The reference region is automatically defined from the non-specific uptake in the whole brain enclosed in the slab, with exclusion of the striatal region. A retrospective study consisting of 25 normal and 30 abnormal scans-classified by the clinical diagnosis reached with the scan support-was carried out to assess intra- and inter-operator variability of the technique and its clinical usefulness. Three operators repeated the quantification twice and the variability was measured by the coefficient of variation (COV).
The COVs for intra- and inter-operator variability were 3% and 4% respectively. A cutoff approximately 4.5 was identified that separated normal and abnormal groups with a sensitivity, specificity and diagnostic concordance of 97%, 92% and 95% respectively.
The proposed technique provides a reproducible and sensitive index. It is hoped that its independence from the partial volume effect will improve consistency in quantitative measurements between centres with different imaging devices and analysis software.
描述一种用于准确量化[(123)I]FP - CIT单光子发射计算机断层扫描(SPECT)脑图像中特异性结合率(SBR)的技术。
采用感兴趣区(ROI)方法,SBR由考虑部分容积效应的纹状体总计数测量得出。操作员干预仅限于放置纹状体ROI,使用几何模板区域有助于完成此任务。用于分析的图像定义是自动的,包括以最高纹状体信号为中心、厚度约为44 mm的“平板”内的横断面切片。参考区域由平板内全脑的非特异性摄取自动定义,不包括纹状体区域。进行了一项回顾性研究,包括25例正常扫描和30例异常扫描(根据扫描辅助的临床诊断分类),以评估该技术在操作员内和操作员间的变异性及其临床实用性。三名操作员重复进行量化两次,并通过变异系数(COV)测量变异性。
操作员内和操作员间变异性的COV分别为3%和4%。确定了一个约为4.5的截断值,该截断值将正常组和异常组区分开来,敏感性、特异性和诊断一致性分别为97%、92%和95%。
所提出的技术提供了一个可重复且敏感的指标。希望其不受部分容积效应影响,将提高不同成像设备和分析软件的中心之间定量测量的一致性。