Principal components analysis as an aid to classification of renal dynamic studies.
Four hundred renal dynamic studies obtained using 99mTc-(Sn) DTPA were classified clinically into four classes (normal, pre-renal lesion, intrarenal lesion and urinary tract obstruction). Principal components analysis was then applied to the kidney activity/time curves and yielded good class separation using only three components. The separation of normal and obstructed or damaged kidneys using only the first component was better than that obtained using the calculated mean transit time.
D003937:Diagnosis, Differential; D005189:False Positive Reactions; D006626:Hippurates; D006801:Humans; D007457:Iodine Radioisotopes; D007674:Kidney Diseases / Q000000981:diagnostic imaging* / Q000378:metabolism; D007678:Kidney Glomerulus / Q000378:metabolism / Q000473:pathology; D004369:Pentetic Acid; D011877:Radionuclide Imaging; D013223:Statistics as Topic; D013667:Technetium
D006626:Hippurates; D007457:Iodine Radioisotopes; D013667:Technetium; D004369:Pentetic Acid