Purpose: Distal forearm fractures are one of the commonest injuries in children due to falling on an outstretched hand. Plain X-ray is the gold standard test for diagnosing fractures of long bones but it exposes patients to radiation with its associated health hazards. The use of ultrasonography has been proposed as a safer diagnostic test. This review aimed to summarize the evidence regarding the diagnostic accuracy of bedside ultrasonography for identifying distal forearm fractures in pediatric patients. Methods: Electronic search of MEDLINE, EMBASE, Cochrane Library, Google Scholar, and Best Bets databases was conducted for studies published from inception to May 2017. The search terms used included “forearm” and “fractures” and “children.” Results: Seven studies were included in the review. The overall accuracy of ultrasonography ranged from 78.6% to 99.5%. The sensitivity and specificity ranged from 85% to 100%, and from 73% to 100%, respectively. The area under the curve for ultrasonography ranged from 0.79 to 1.00. Conclusion: Ultrasound is a reliable diagnostic tool for the diagnosis of distal forearm fractures in children when performed by well-trained emergency doctors and through using an appropriate viewing method. Conducting larger prospective blinded studies on long bone injuries would be recommended.

This review paper offers a concise guide on how to execute Delphi-based interdisciplinary consensus statements on imaging. Fundamental to the Delphi methodology are several core principles. First, an initial key element is the selection of experts, known as panelists. Second is the principle of anonymity among participants, ensuring that no single individual or group applies excessive influence over others. Third, the methodology involves iterative rounds where statements are presented repeatedly, allowing for controlled feedback. Lastly, after each round, participants are given insight into the collective panel’s previous responses. This knowledge enables them to potentially reconsider and adjust their positions in subsequent rounds, driving towards the group consensus. These principles emphasize the critical role of statistical group responses and the structured interaction inherent in the Delphi approach. Looking at the broader process, the development of Delphi-based interdisciplinary consensus statements on imaging unfolds through several stages. It begins with identifying the research field or the consensus statements in question. This is followed by undertaking comprehensive literature research. Subsequently, pertinent questions and their corresponding statements are crafted. The process then moves on to administering anonymous, iterative questionnaire rounds. Feedback, both on an individual and collective level, is provided between the rounds. The process culminates in the summarization and reporting of the finalized Delphi-based interdisciplinary consensus statements on imaging.