Hospital Provincial General Docente de Chimborazo, Neonatología. Área de Neonatología y Pediatría. Riobamba, Chimborazo. Ecuador
Universidad Nacional de Chimborazo, Facultad de Posgrados. Matemática Computacional. Riobamba, Chimborazo. Ecuador
Universidad Nacional de La Plata. Facultad de Ciencias Informáticas. Doctorado en Ciencias Informáticas. La Plata. Argentina
Universidad Nacional de Chimborazo, Facultad de Ciencias de la Salud, Escuela de Medicina. Riobamba, Chimborazo. Ecuador
Hospital Pediátrico Alfonso Villagómez. Pediatría. Riobamba, Chimborazo. Ecuador
Hospital Pediátrico Alfonso Villagómez. Pediatría. Riobamba, Chimborazo. Ecuador
Introduction: The presence of urinary stones in children is a concerning condition in pediatric nephrology. An accurate and timely diagnosis is crucial for effective management and prevention of complications. This article provides a comprehensive overview of diagnostic and evaluation approaches, including various imaging techniques, laboratory tests, and clinical assessments used in diagnosis, their strengths, and limitations. Understanding the complexities of diagnosis contributes to improved patient outcomes and guides healthcare professionals.
Objective: To delve into different methods and approaches used for diagnosing and evaluating pediatric urolithiasis, along with technological and scientific advancements in the field.
Methods: The research method involved analyzing and synthesizing scientific literature. Relevant studies and articles were collected and findings compared to identify patterns and trends in diagnosis and evaluation.
Results: Results include a compilation of relevant studies, detailed analysis of diagnostic methods, identification of techniques, technological advancements, and common trends in pediatric urolithiasis evaluation.
Conclusions: Pediatric urolithiasis requires early detection and proper management to prevent complications. Treatment options vary from conservative to invasive. Multidisciplinary collaboration (urologists, nephrologists, and pediatricians) is crucial. The use of mathematical models in diagnosis provides valuable tools for early detection and clinical decision-making. Integrating clinical data and risk factors identifies high-risk children, improving long-term clinical outcomes.
The article is distributed under the Creative Commons Attribution 4.0 License. Unless otherwise stated, associated published material is distributed under the same licence.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.