Computing quantitative indicators of structural renal damage in pediatric DMSA scans

F. Sampedro, A. Domenech, S. Escalera, I. Carrio

Research output: Contribution to journalArticleResearchpeer-review

2 Citations (Scopus)

Abstract

© 2016 Elsevier España, S.L.U. y SEMNIM Objectives The proposal and implementation of a computational framework for the quantification of structural renal damage from 99m Tc-dimercaptosuccinic acid (DMSA) scans. The aim of this work is to propose, implement, and validate a computational framework for the quantification of structural renal damage from DMSA scans and in an observer-independent manner. Materials and methods From a set of 16 pediatric DMSA-positive scans and 16 matched controls and using both expert-guided and automatic approaches, a set of image-derived quantitative indicators was computed based on the relative size, intensity and histogram distribution of the lesion. A correlation analysis was conducted in order to investigate the association of these indicators with other clinical data of interest in this scenario, including C-reactive protein (CRP), white cell count, vesicoureteral reflux, fever, relative perfusion, and the presence of renal sequelae in a 6-month follow-up DMSA scan. Results A fully automatic lesion detection and segmentation system was able to successfully classify DMSA-positive from negative scans (AUC = 0.92, sensitivity = 81% and specificity = 94%). The image-computed relative size of the lesion correlated with the presence of fever and CRP levels (p <0.05), and a measurement derived from the distribution histogram of the lesion obtained significant performance results in the detection of permanent renal damage (AUC = 0.86, sensitivity = 100% and specificity = 75%). Conclusions The proposal and implementation of a computational framework for the quantification of structural renal damage from DMSA scans showed a promising potential to complement visual diagnosis and non-imaging indicators.
Original languageEnglish
Pages (from-to)72-77
JournalRevista Espanola de Medicina Nuclear e Imagen Molecular
Volume36
Issue number2
DOIs
Publication statusPublished - 1 Mar 2017

Keywords

  • DMSA scan
  • Image processing
  • Quantitative analysis
  • Renal damage

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