SNM Annual Meeting Abstracts
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     




J Nucl Med. 2008; 49 (Supplement 1):279P
This Article
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Google Scholar
Right arrow Articles by Hwang, K. H.
Right arrow Articles by Choe, W.
PubMed
Right arrow Articles by Hwang, K. H.
Right arrow Articles by Choe, W.

General Clinical Specialties: Renal/Electrolyte/Hypertension

Renal/Electrolyte/Hypertension Posters

Computer-assisted texture analysis of DMSA renal scintigraphy in diagnosis of pyelonephritis: Discriminant analysis

Kyung Hoon Hwang1, Duck-Joo Choi2 and Wonsick Choe1

1 Nuclear Medicine; 2 Internal Medicine, Gachon University Gil Medical Center, Incheon, South Korea

1195

Objectives: DMSA renal scan has been used to evaluate pyelonephritis. However, it is frequently difficult to differentiate pelvocalyectatic defects from true cortical defects. We investigated whether DMSA renal scan images could be effectively evaluated by computer-assisted texture analysis.

Methods: We retrospectively analyzed 35 DMSA renal scan images - 12 normal kidneys, 11 with pelvocalyectatic defects and 12 with true cortical defects. The kidneys on DMSA scan images were segmented and the texture analysis was done using a fractal texture analysis tool (Image-J). The values from the texture analysis were compared between three groups using student's t-test and ROC curve analysis. In addition, patients’laborotary data were added to texture analysis values using discriminant analysis.

Results: The kidney images with true cortical defects showed higher texture values than those of normal or pelvocalyectatic kidneys, but was not statistically significant. There was significant difference in texture values only between normal and pelvocalyectatic kidneys (p<0.05). ROC curve analysis in texture values between the groups of true cortical defects and pelvocalyectases demonstrated the best cut-off value of 1.703 (Sensitivity of 91.7% and specificity of 72.7%) and area under curve of 0.833. Discriminant analysis combining the texture values and patients’laborotary data showed no further improvement in differential diagnostic accuracy.

Conclusions: Computer-assisted texture analysis may be helpful to evaluate DMSA renal scan for diagnosis of pyelonephritis. However, the addition of some other data did not improve the diagnostic performance. further studies including more cases and parameters are needed.





This Article
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Google Scholar
Right arrow Articles by Hwang, K. H.
Right arrow Articles by Choe, W.
PubMed
Right arrow Articles by Hwang, K. H.
Right arrow Articles by Choe, W.