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Radiological Investigation II: MRI and Ventilation Perfusion Scan01:30

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Description
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
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Related Experiment Video

Updated: Jan 11, 2026

Imaging Features of Systemic Sclerosis-Associated Interstitial Lung Disease
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Interstitial Lung Disease Outcome Prediction Using Quantitative Densitometry Indices on Baseline Chest Computed

Li-Ting Huang1, Tang-Hsiu Huang2,3, Chung-Ying Lin4,5,6

  • 1Department of Medical Imaging, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan 704, Taiwan.

Diagnostics (Basel, Switzerland)
|November 13, 2025
PubMed
Summary

Quantitative CT scans can predict three-year mortality in interstitial lung disease (ILD). Lower normal lung volume (NLV%) and higher fibrotic lung volume (FLV%) indicate worse prognosis for ILD patients.

Keywords:
densitometryinterstitiallung diseasemortalitymultidetector computed tomographyprognosis

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Area of Science:

  • Pulmonology
  • Radiology
  • Medical Imaging

Background:

  • Accurate prognostication in interstitial lung disease (ILD) is crucial for patient management.
  • Quantitative CT-derived indices offer potential for improved ILD prognostication.

Purpose of the Study:

  • To evaluate the prognostic value of baseline CT-derived indices for predicting 3-year mortality in ILD patients.
  • To assess the predictive capability of normal lung volume percentage (NLV%) and fibrotic lung volume percentage (FLV%) for ILD outcomes.

Main Methods:

  • Retrospective analysis of 101 ILD patients with baseline chest CT scans.
  • Measurement of total lung volume (TLVcm³), NLV%, and FLV% using CT imaging.
  • Survival analysis including Kaplan-Meier curves, log-rank tests, and Cox regression models.

Main Results:

  • 3-year mortality observed in 29.70% of patients.
  • Deceased patients exhibited significantly lower baseline NLV% and higher FLV% compared to survivors.
  • Multivariate analysis identified NLV% and DLCO% predicted as independent predictors of 3-year mortality.

Conclusions:

  • Baseline FLV% ≥ 14.12% and NLV% ≤ 64.15% effectively stratify ILD patient outcomes.
  • Baseline NLV% demonstrates potential as a prognostic indicator for 3-year survival in ILD.
  • CT-derived indices correlate with pulmonary function tests (FVC% and DLCO% predicted).