Pediatric radiology
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Pediatric radiology · May 2021
ReviewGadolinium retention: should pediatric radiologists be concerned, and how to frame conversations with families.
Gadolinium retention in the brain and other organs has recently been identified by imaging and confirmed histologically. No direct clinical effects of gadolinium retention, which occurs after gadolinium-based contrast agent (GBCA) administration for MRI, have been scientifically accepted at this time. ⋯ This article briefly describes the characteristics of GBCAs; reviews and differentiates gadolinium retention, nephrogenic systemic fibrosis, and "gadolinium deposition disease" or "gadolinium toxicity"; and discusses societal guidelines and current usage in children. With the belief that GBCAs should not be withheld for appropriate indications in the absence of evidence of its potential risks, we offer a framework for determining when GBCA use is appropriate and suggestions for discussing its risks and benefits with children and their families.
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Infants are at greatest risk of severe and fatal physical abuse yet they sometimes present for medical care multiple times with abusive injuries prior to being diagnosed with abuse and having protective actions taken. Efforts to identify these infants in a timely manner are critical to prevent repeated, escalating abuse and subsequent harm. Increasing the identification and evaluation of sentinel injuries has been highlighted as a strategy for improving timely detection of abuse in infants. ⋯ As such, sentinel injuries offer an opportunity to intervene and protect infants from further harm. A thorough physical exam is critical for detecting sentinel injuries. Imaging with skeletal survey and, when appropriate, neuroimaging are key components of the medical evaluation of sentinel injuries in these high-risk infants.
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Pediatric radiology · Apr 2021
ReviewCurrent and emerging artificial intelligence applications for pediatric abdominal imaging.
Artificial intelligence (AI) uses computers to mimic cognitive functions of the human brain, allowing inferences to be made from generally large datasets. Traditional machine learning (e.g., decision tree analysis, support vector machines) and deep learning (e.g., convolutional neural networks) are two commonly employed AI approaches both outside and within the field of medicine. Such techniques can be used to evaluate medical images for the purposes of automated detection and segmentation, classification tasks (including diagnosis, lesion or tissue characterization, and prediction), and image reconstruction. In this review article we highlight recent literature describing current and emerging AI methods applied to abdominal imaging (e.g., CT, MRI and US) and suggest potential future applications of AI in the pediatric population.
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Pediatric radiology · Aug 2020
ReviewA primer for pediatric radiologists on infection control in an era of COVID-19.
Pediatric radiology departments across the globe face unique challenges in the midst of the current COVID-19 pandemic that have not been addressed in professional guidelines. Providing a safe environment for personnel while continuing to deliver optimal care to patients is feasible when abiding by fundamental recommendations. ⋯ We discuss the routes of infectious transmission and appropriate transmission-based precautions, in addition to exploring strategies to optimize personal protective equipment (PPE) supplies. This work serves as a summary of current evidence-based recommendations for infection control, and current best practices specific to pediatric radiologists.