@Article{FredericSampedro2017,
author="Frederic Sampedro
and Anna Domenech
and Sergio Escalera
and Ignasi Carrio",
title="Computing quantitative indicators of structural renal damage in pediatric DMSA scans",
journal="Revista Espa{\~n}ola de Medicina Nuclear e Imagen Molecular",
year="2017",
volume="36",
number="2",
pages="72--77",
abstract="OBJECTIVES:The proposal and implementation of a computational framework for the quantification of structural renal damage from 99mTc-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.",
optnote="HuPBA;MILAB; no menciona",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=2842), last updated on Wed, 23 May 2018 09:28:08 +0200",
doi="10.1016/j.remn.2016.06.010"
}