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Related Experiment Video

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Diaphragmatic Ultrasound in Adults: Image Acquisition and Interpretation
05:51

Diaphragmatic Ultrasound in Adults: Image Acquisition and Interpretation

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Diaphragmatic curvature analysis using dynamic digital radiography.

Takuya Hino1,2, Akinori Tsunomori3, Noriaki Wada1,2

  • 1Department of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Higashi-ku, Fukuoka, Fukuoka, Japan.

European Journal of Radiology Open
|December 31, 2025
PubMed
Summary
This summary is machine-generated.

Dynamic digital radiography (DDR) measures area under the diaphragm (AUD) to differentiate between healthy individuals and chronic obstructive pulmonary disease (COPD) patients. Reduced ΔAUD values indicate COPD severity and aid in diagnosis.

Keywords:
Chest radiographChronic obstructive pulmonary diseaseDynamic digital radiographyRadiology

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Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Diagnostic Imaging

Background:

  • Chronic obstructive pulmonary disease (COPD) is a significant global health concern.
  • Accurate differentiation between healthy individuals and COPD patients is crucial for timely intervention.
  • Diaphragmatic function assessment can provide insights into respiratory health.

Purpose of the Study:

  • To evaluate the utility of area under the diaphragm (AUD) measured by dynamic digital radiography (DDR) in distinguishing between healthy subjects and COPD patients.
  • To assess the correlation between ΔAUD and COPD severity.
  • To determine the diagnostic accuracy of ΔAUD for COPD detection.

Main Methods:

  • Retrospective analysis of DDR images and pulmonary function tests from healthy volunteers and COPD patients.
  • Definition and calculation of AUD and ΔAUD (AUD in inspiration minus AUD in expiration).
  • Statistical comparison of AUD and ΔAUD across normal, mild COPD, and severe COPD groups using ANOVA and Tukey-Kramer tests.
  • Receiver-operating-characteristics (ROC) curve analysis for diagnostic performance assessment.

Main Results:

  • Healthy volunteers exhibited larger inspiratory AUD compared to COPD patients.
  • Significant differences in ΔAUD were observed among the three groups (normal, mild COPD, severe COPD) for both right and left hemidiaphragms (p < 0.001).
  • ROC analysis demonstrated high diagnostic accuracy for COPD detection using unilateral ΔAUD (AUC > 0.94 for both sides).

Conclusions:

  • The study successfully demonstrated that ΔAUD, measured via DDR, can effectively differentiate between healthy individuals and COPD patients.
  • A decreasing trend in ΔAUD values was observed with increasing COPD severity.
  • ΔAUD emerges as a valuable imaging biomarker for the diagnosis and assessment of COPD.