Quantitative Ultrasound for Measuring Obstructive Severity in Children with Hydronephrosis.
J Urol
; 195(4 Pt 1): 1093-9, 2016 Apr.
Article
en En
| MEDLINE
| ID: mdl-26551298
PURPOSE: We define sonographic biomarkers for hydronephrotic renal units that can predict the necessity of diuretic nuclear renography. MATERIALS AND METHODS: We selected a cohort of 50 consecutive patients with hydronephrosis of varying severity in whom 2-dimensional sonography and diuretic mercaptoacetyltriglycine renography had been performed. A total of 131 morphological parameters were computed using quantitative image analysis algorithms. Machine learning techniques were then applied to identify ultrasound based safety thresholds that agreed with the t½ for washout. A best fit model was then derived for each threshold level of t½ that would be clinically relevant at 20, 30 and 40 minutes. Receiver operating characteristic curve analysis was performed. Sensitivity, specificity and area under the receiver operating characteristic curve were determined. Improvement obtained by the quantitative imaging method compared to the Society for Fetal Urology grading system and the hydronephrosis index was statistically verified. RESULTS: For the 3 thresholds considered and at 100% sensitivity the specificities of the quantitative imaging method were 94%, 70% and 74%, respectively. Corresponding area under the receiver operating characteristic curve values were 0.98, 0.94 and 0.94, respectively. Improvement obtained by the quantitative imaging method over the Society for Fetal Urology grade and hydronephrosis index was statistically significant (p <0.05 in all cases). CONCLUSIONS: Quantitative imaging analysis of renal sonograms in children with hydronephrosis can identify thresholds of clinically significant washout times with 100% sensitivity to decrease the number of diuretic renograms in up to 62% of children.
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Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Obstrucción Ureteral
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Hidronefrosis
Tipo de estudio:
Etiology_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Adolescent
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Child
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Child, preschool
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Female
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Humans
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Infant
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Male
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Newborn
Idioma:
En
Año:
2016
Tipo del documento:
Article