A breathing movement sensor for chest radiography during inspiration in children aged less than 3 years: a

Mari Honda1, Rei Haruyama1, Yasuo Sugiura1,2

  • 1Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan.

Bioscience Trends
|May 19, 2020
PubMed

Insights

A new sensor designed to improve chest X-ray imaging in children did not significantly increase the rate of images taken during inspiration. While not improving inspiration phase acquisition, the device showed potential for future automated chest radiography applications.

Area of Science:

  • Pediatric Radiology
  • Medical Imaging Technology

Background:

  • Accurate interpretation of chest radiographs requires images acquired at peak inspiration.
  • Obtaining inspiratory phase images is challenging in young children who cannot hold their breath on command.

Purpose of the Study:

  • To evaluate if a novel breathing movement sensor could increase the proportion of chest radiographs obtained during the inspiration phase in infants and young children.
  • To assess the feasibility of using the sensor for quality chest radiography in pediatric patients.

Main Methods:

  • A randomized controlled study was conducted with 124 infants and children under 3 years old.
  • Participants were allocated to either a with-sensor or without-sensor group.
  • Chest radiographs were analyzed to determine if they were taken during the inspiration phase.

Main Results:

  • Overall, 81% of all chest radiographs were obtained during inspiration.
  • There was no statistically significant difference in the proportion of inspiratory phase images between the with-sensor group (82%) and the without-sensor group (81%).
  • Radiologic technologists could maintain image quality using the sensor without direct observation of chest movement.

Conclusions:

  • The developed sensor did not improve the acquisition of chest radiographs during the inspiration phase in the studied pediatric population.
  • Despite the null result, the sensor shows promise for future applications in automating chest radiography procedures.
  • Further research is warranted to explore the sensor's potential in optimizing pediatric imaging workflows.

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