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Related Experiment Video

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Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
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Phenotyping preserved ratio impaired spirometry (PRISm) using quantitative high-resolution computed tomography

Jun Hu1, Zhujin Shen2, Tong Su3

  • 1Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Quantitative Imaging in Medicine and Surgery
|April 13, 2026
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Summary
This summary is machine-generated.

Preserved ratio impaired spirometry (PRISm) shows distinct radiological phenotypes. Quantitative HRCT parameters correlate with lung function, aiding PRISm patient stratification.

Keywords:
Preserved ratio impaired spirometry (PRISm)high-resolution computed tomography (HRCT)quantitative analysisradiological phenotypes

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Area of Science:

  • Pulmonary Medicine
  • Radiology
  • Medical Imaging

Background:

  • Preserved ratio impaired spirometry (PRISm) is a common condition linked to increased respiratory risks.
  • Limited radiological studies exist for PRISm phenotyping.
  • PRISm is characterized by reduced FEV1 and a normal FEV1/FVC ratio.

Purpose of the Study:

  • To investigate airway changes in PRISm related to emphysema.
  • To correlate quantitative high-resolution computed tomography (HRCT) parameters with pulmonary function.
  • To explore potential PRISm phenotypes using quantitative HRCT.

Main Methods:

  • Retrospective study of 102 PRISm patients.
  • Analysis of CT scans and pulmonary function tests (PFTs) within 3 months.
  • Quantitative and semi-quantitative analysis of parenchyma and airway parameters using specialized software.

Main Results:

  • Significant differences in total lung capacity (TLC_CT) and wall area percentage (WA%) were observed with emphysema severity.
  • Mild to moderate correlations found between parenchyma and airway parameters, notably TLC_CT and WA% (r=-0.64).
  • Four radiological phenotypes of PRISm were identified with significant differences in CT and PFT parameters.

Conclusions:

  • Quantitative HRCT reveals differences in parenchyma and airway parameters across PRISm phenotypes.
  • These findings suggest HRCT can aid in stratifying PRISm patients.
  • A novel radiological approach may improve PRISm patient management.