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 | Computed Tomography (CT)

December 2, 2022 — New CT technology outperforms conventional CT in detecting subtle damage in the lungs of patients ...

Time December 02, 2022
arrow
News | Computed Tomography (CT)

November 30, 2022 — NeuroLogica Corp., a subsidiary of Samsung Electronics Co. Ltd., announced that its head-to-toe ...

Time November 30, 2022
arrow
News | Artificial Intelligence

November 29, 2022 — Researchers have developed a deep learning model that uses a single chest X-ray to predict the 10 ...

Time November 29, 2022
arrow
News | Digital Radiography (DR)

November 28, 2022 — Konica Minolta Healthcare Americas, Inc., a leader in medical diagnostic imaging and healthcare ...

Time November 28, 2022
arrow
News | Radiation Oncology

November 28, 2022 — Dunlee unveiled its new oncology bundles in the U.S. for the first time at Radiological Society of ...

Time November 28, 2022
arrow
News | Pediatric Imaging

November 28, 2022 — Using MRI data from the largest long-term study of brain development and child health in the United ...

Time November 28, 2022
arrow
News | RSNA

Nov. 27, 2022 — ClariPi Inc. has announced that its ClariCT.AI software will be released on Siemens Healthineers’ ...

Time November 27, 2022
arrow
News | Artificial Intelligence

November 25, 2022 — AI medical imaging company Oxipit expanded its Quality product suite with quality assurance support ...

Time November 25, 2022
arrow
News | Flat Panel Displays

November 23, 2022 — KA Imaging’s innovative Reveal 35C flat panel detector has received EU MDR CE Mark Certificate from ...

Time November 23, 2022
arrow
News | Pediatric Imaging

November 23, 2022 — Researchers analyzing the data from MRI exams on nearly 8,000 children have identified biomarkers of ...

Time November 23, 2022
arrow
Subscribe Now