News | Pediatric Imaging | December 15, 2021

Key advance toward reducing radiation exposure in children

Diagnosis of community acquired pneumonia in children usually involves X-rays, despite recommendations to limit their use by professional societies. In efforts to reduce radiation exposure from x-rays in children and reinforce guideline compliance, researchers from Ann & Robert H. Lurie Children’s Hospital of Chicago and colleagues developed a simple diagnostic model that accurately predicts whether patients are at high risk or low risk for community acquired pneumonia, eliminating the need for x-ray

December 15, 2021 — Diagnosis of community acquired pneumonia in children usually involves X-rays, despite recommendations to limit their use by professional societies. In efforts to reduce radiation exposure from x-rays in children and reinforce guideline compliance, researchers from Ann & Robert H. Lurie Children’s Hospital of Chicago and colleagues developed a simple diagnostic model that accurately predicts whether patients are at high risk or low risk for community acquired pneumonia, eliminating the need for X-ray confirmation. Their findings were published in the journal Pediatrics.

“Our predictive model for community acquired pneumonia is a critical step toward safely reducing radiation exposure in children,” said lead author Sriram Ramgopal, M.D., emergency medicine physician at Lurie Children’s and Assistant Professor of Pediatrics at Northwestern University Feinberg School of Medicine. “For patients who are determined to be at low risk for pneumonia, we can also avoid unnecessary antibiotic use.”

Ramgopal and colleagues statistically derived their model based on the clinical history, symptoms and X-ray results of 1,142 patients, aged 3 months to 18 years who were evaluated for suspicion of community acquired pneumonia. They found three key variables with the strongest predictive value for either high risk or low risk of pneumonia – increasing age, fever duration and decreased breath sounds upon exam with a stethoscope.

“Since our model does not rely on lab results, it may allow for broader implementation in the primary care setting,” said senior author Todd Florin, M.D., MSCE, Director of Research in Emergency Medicine at Lurie Children’s and Associate Professor of Pediatrics at Northwestern University Feinberg School of Medicine. “If validated by other centers, this model could be implemented using an online calculator of risk or through clinical decision support tools that can be embedded in the electronic medical record.”

Research at Ann & Robert H. Lurie Children’s Hospital of Chicago is conducted through the Stanley Manne Children’s Research Institute. The Manne Research Institute is focused on improving child health, transforming pediatric medicine and ensuring healthier futures through the relentless pursuit of knowledge. Lurie Children’s is ranked as one of the nation’s top children’s hospitals by U.S. News & World Report. It is the pediatric training ground for Northwestern University Feinberg School of Medicine. Last year, the hospital served more than 220,000 children from 48 states and 49 countries.

For more information: www.luriechildrens.org


Related Content

News | Artificial Intelligence

Sept. 13, 2024 — Bayer Calantic Digital Solutions has announced the availability of a new eBook that addresses how ...

Time September 12, 2024
arrow
News | Artificial Intelligence

July 22, 2024 — Healthcare artificial intelligence (AI) systems provider, Qure.ai, has announced its receipt of a Class ...

Time July 22, 2024
arrow
News | Digital Radiography (DR)

July 18, 2024 — At the Annual Meeting of AHRA (the Association for Medical Imaging Management), Agfa Radiology Solutions ...

Time July 18, 2024
arrow
News | Radiation Therapy

July 3, 2024 — Results from a new study led by researchers at The University of Texas MD Anderson Cancer Center support ...

Time July 03, 2024
arrow
News | Artificial Intelligence

June 27, 2024 — Thirona, a Netherlands-based global company providing high-precision advanced lung image analysis with ...

Time June 27, 2024
arrow
Feature | Radiology Business

June 24, 2024 — Well-known Chicago and worldwide philanthropist Ann Lurie, namesake of the Ann and Robert H Lurie ...

Time June 24, 2024
arrow
News | Interventional Radiology

June 21, 2024 — GE HealthCare, a leading global medical technology, pharmaceutical diagnostics, and digital solutions ...

Time June 21, 2024
arrow
News | Artificial Intelligence

June 18, 2024 — The advancement of Artificial Intelligence (AI) in healthcare to support diagnostic decision making ...

Time June 18, 2024
arrow
News | Digital Radiography (DR)

June 12, 2024 — Carestream launched its Image Suite MR 10 Software to help deliver a boost to productivity and ...

Time June 12, 2024
arrow
News | Artificial Intelligence

June 11, 2024 — A new study led by researchers at Emory AI.Health, published in the Journal of Computers in Medicine and ...

Time June 11, 2024
arrow
Subscribe Now