Macleod M A, Houston A S
Department of Nuclear Medicine, Royal Naval Hospital, Gosport, Hampshire, UK.
Eur J Nucl Med. 1989;15(9):601-4. doi: 10.1007/BF00256937.
Factor analysis of dynamic structures (FADS) has been used in the interpretation of dynamic scintigraphic studies since the technique was described by Bazin et al. (1980). This study was designed to analyse to what extent, if any, does physiological factor analysis of dynamic renal data really help the clinician and by how much the method improves the diagnostic accuracy when compared to deconvolution analysis and parenchymal transit time (PTT) measurements. One hundred and fifty patients who were clinically, biochemically and radiologically investigated for renal disease were included in the study. Fifty of these were found to have no clinical evidence of renal disease, 50 were diagnosed as having non obstructive kidney disease and 50 had evidence of renal obstruction. Data obtained from 99mTc-DTPA renography were processed using deconvolution (with PTTs) and physiological factor analysis and the results compared by ROC analysis. Clinically the information gained from factor analysis was superior to that obtained from deconvolution with PTT measurements in that a more accurate differentiation between an obstructive nephropathy and an obstructive uropathy was obtained. It is considered that physiological factor analysis enhanced the clinical information obtained from renography, increases diagnostic accuracy and obviates the need for diuresis renography.
自巴赞等人（1980年）描述动态结构因子分析（FADS）技术以来，该技术一直用于动态闪烁扫描研究的解释。本研究旨在分析动态肾脏数据的生理因子分析在多大程度上（如果有的话）真的有助于临床医生，以及与去卷积分析和实质转运时间（PTT）测量相比，该方法能在多大程度上提高诊断准确性。150名因肾脏疾病接受临床、生化和放射学检查的患者被纳入研究。其中50名未发现肾脏疾病的临床证据，50名被诊断为非梗阻性肾脏疾病，50名有肾脏梗阻的证据。使用去卷积（结合PTT）和生理因子分析处理从99mTc-DTPA肾图获得的数据，并通过ROC分析比较结果。在临床上，从因子分析获得的信息优于从结合PTT测量的去卷积获得的信息，因为在区分梗阻性肾病和梗阻性尿路病方面获得了更准确的结果。据认为，生理因子分析增强了从肾图获得的临床信息，提高了诊断准确性，并且无需进行利尿肾图检查。
