Diagnostic Performance of an Expert System for Interpretation of 99mTc MAG3 Scans in Suspected Renal Obstruction

• Type of Material: Article
• Authors: Andrew T Taylor Jr., Emory University; Ernest V Garcia, Emory University; Jose N Binongo, Emory University; Amita Manatunga, Emory University; Raghuveer Halkar, Emory University; Russell Folks, Emory University; Eva Dubovsky, University of Alabama
• Language: English
• Date: 2008-02
• Publisher: OMICS International
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2008 by the Society of Nuclear Medicine, Inc.
• Final Published Version (URL): http://jnm.snmjournals.org/content/49/2/216.long
• Title of Journal or Parent Work: Journal of Nuclear Medicine and Radiation Therapy
• ISSN: 2155-9619
• Volume: 49
• Issue: 2
• Start Page: 216
• End Page: 224
• Grant/Funding Information: This work was funded by the National Library of Medicine grant number R01-LM007595.
• Keywords: furosemide; diuresis renogaphy; RENEX; 99mTc-MAG3; renal obstruction
• Research Categories: Health Sciences, Radiology; Biology, Biostatistics

Abstract

The purpose of the study was to compare diuresis renography scan interpretation generated by a renal expert system with the consensus interpretation of 3 expert readers.Methods The expert system was evaluated in 95 randomly selected furosemide-augmented patient studies (185 kidneys) obtained for suspected obstruction; there were 55 males and 40 females with a mean age ± SD of 58.6 ± 16.5 y. Each subject had a baseline 99mTc-mercaptoacetyltriglycine (99mTc-MAG3) scan followed by furosemide administration and a separate 20-min acquisition. Quantitative parameters were automatically extracted from baseline and furosemide acquisitions and forwarded to the expert system for analysis. Three experts, unaware of clinical information, independently graded each kidney as obstructed/probably obstructed, equivocal, and probably nonobstructed/nonobstructed; experts resolved differences by a consensus reading. These 3 expert categories were compared with the obstructed, equivocal, and nonobstructed interpretations provided by the expert system. Agreement was assessed using weighted κ, and the predictive accuracy of the expert system compared with expert readers was assessed by the area under receiver-operating-characteristic (ROC curve) curves. Results The expert system agreed with the consensus reading in 84% (101/120) of nonobstructed kidneys, in 92% (33/36) of obstructed kidneys, and in 45% (13/29) of equivocal kidneys. The weighted κ between the expert system and the consensus reading was 0.72 and was comparable with the weighted κ between experts. There was no significant difference in the areas under the ROC curves when the expert system was compared with each expert using the other 2 experts as the gold standard. Conclusion The renal expert system showed good agreement with the expert interpretation and could be a useful educational and decision support tool to assist physicians in the diagnosis of renal obstruction. To better mirror the clinical setting, algorithms to incorporate clinical data must be designed, implemented, and tested.