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Imaging in the Diagnosis of Pediatric Urolithiasis

Overview
Journal Pediatr Radiol
Specialty Pediatrics
Date 2016 Nov 6
PMID 27815617
Citations 4
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Abstract

Pediatric urolithiasis is an important and increasingly prevalent cause of pediatric morbidity and hospital admission. Ultrasound (US) is the recommended primary imaging modality for suspected urolithiasis in children. There is, however, widespread use of CT as a first-line study for abdominal pain in many institutions involved in pediatric care. The objective of this review is to outline state-of-the-art imaging modalities and methods for diagnosing urolithiasis in children. The pediatric radiologist plays a key role in ensuring that the appropriate imaging modality is performed in the setting of suspected pediatric urolithiasis. Our proposed imaging algorithm starts with US, and describes the optimal technique and indications for the use of CT. We emphasize the importance of improved communication with a greater collaborative approach between pediatric and general radiology departments so children undergo the appropriate imaging evaluation.

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References
1.
Park S, Kim Y, Lee J, Park H . Knowledge-based iterative model reconstruction (IMR) algorithm in ultralow-dose CT for evaluation of urolithiasis: evaluation of radiation dose reduction, image quality, and diagnostic performance. Abdom Imaging. 2015; 40(8):3137-46. DOI: 10.1007/s00261-015-0504-y. View

2.
McKay C . Renal stone disease. Pediatr Rev. 2010; 31(5):179-88. DOI: 10.1542/pir.31-5-179. View

3.
Spivacow F, Negri A, Del Valle E, Calvino I, Fradinger E, Zanchetta J . Metabolic risk factors in children with kidney stone disease. Pediatr Nephrol. 2008; 23(7):1129-33. DOI: 10.1007/s00467-008-0769-2. View

4.
Riccabona M, Avni F, Blickman J, Dacher J, Darge K, Lobo M . Imaging recommendations in paediatric uroradiology. Minutes of the ESPR uroradiology task force session on childhood obstructive uropathy, high-grade fetal hydronephrosis, childhood haematuria, and urolithiasis in childhood. ESPR Annual Congress,.... Pediatr Radiol. 2009; 39(8):891-8. DOI: 10.1007/s00247-009-1233-6. View

5.
Choi S, Ahn S, Choi J, Kim J, Lee B, Kim J . Determination of optimal imaging settings for urolithiasis CT using filtered back projection (FBP), statistical iterative reconstruction (IR) and knowledge-based iterative model reconstruction (IMR): a physical human phantom study. Br J Radiol. 2015; 89(1058):20150527. PMC: 4985200. DOI: 10.1259/bjr.20150527. View