Hyperpolarized 3He magnetic resonance imaging of ventilation defects in healthy elderly volunteers: Initial findings at 3.0 Tesla

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Academic Radiology





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RATIONALE AND OBJECTIVES: Hyperpolarized (3)He magnetic resonance imaging ventilation defects have been observed in subjects with respiratory disorders. We quantified (3)He ventilation defects in elderly and middle-aged subjects who had no history of smoking, respiratory, or cardiovascular disorders.

MATERIALS AND METHODS: Hyperpolarized (3)He magnetic resonance imaging ventilation defect volume (VDV) and ventilation defect score (VDS) were assessed in eight elderly healthy volunteers (mean 67+/-6 years) scanned twice within 7+/-2 minutes and again 7+/-2 days later. A younger cohort of 24 subjects (mean 44+/-10 years) was also scanned for direct comparison. Four observers blinded to scan timepoint and subject identity scored VDS and manually segmented VDV in all center coronal slices.

RESULTS: Center coronal slice ventilation defects were observed in six of eight elderly subjects (ages 63-74 years, 5 males) in all scans acquired and in no middle-aged subjects. At the scan timepoint, mean VDS was 2.7 (mean VDV 52+/-34 cm(3)), whereas for same-day rescan, mean VDS was 2.5 (mean VDV 53+/-35 cm(3)) and at 7-day rescan, mean VDS was 3.6 (mean VDV 48+/-39 cm(3)). Interscan coefficients of variation (COV) for mean VDV was 1.8% (same-day rescan) and 5.3% (7-day rescan) and interobserver COV ranged from 10-12%.

CONCLUSION: Elderly subjects have ventilation defects that are reproducible in same-day scanning and 7-day scanning visits. The observation of reproducible pulmonary ventilation defects in otherwise healthy elderly volunteers suggests caution must be used in interpreting results from (3)He studies of elderly subjects.


This is an author-accepted manuscript of an article initially published by Elsevier. Final published version is available at: https://doi.org/10.1016/j.acra.2008.03.003

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Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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