Journal article
Menstrual cycle impacts lung structure measures derived from quantitative computed tomography
European radiology, Vol.32(5), pp.2883-2890
12/20/2021
DOI: 10.1007/s00330-021-08404-9
PMCID: PMC9038622
PMID: 34928413
Abstract
Objective Quantitative computed tomography (qCT) is being increasingly incorporated in research studies and clinical trials aimed at understanding lung disease risk, progression, exacerbations, and intervention response. Menstrual cycle-based changes in lung function are recognized; however, the impact on qCT measures is currently unknown. We hypothesize that the menstrual cycle impacts qCT-derived measures of lung structure in healthy women and that the degree of measurement change may be mitigated in subjects on cyclic hormonal birth control. Methods Thirty-one non-smoking, healthy women with regular menstrual cycles (16 of which were on cyclic hormonal birth control) underwent pulmonary function testing and qCT imaging at both menses and early luteal phase time points. Data were evaluated to identify lung measurements which changed significantly across the two key time points and to compare degree of change across metrics for the sub-cohort with versus without birth control. Results The segmental airway measurements were larger and mean lung density was higher at menses compared to the early luteal phase. The sub-cohort with cyclic hormonal birth control did not have less evidence of measurement difference over the menstrual cycle compared to the sub-cohort without hormonal birth control. Conclusions This study provides evidence that qCT-derived measures from the lung are impacted by the female menstrual cycle. This indicates studies seeking to use qCT as a more sensitive measure of cross-sectional differences or longitudinal changes in these derived lung measurements should consider acquiring data at a consistent time in the menstrual cycle for pre-menopausal women and warrants further exploration.
Details
- Title: Subtitle
- Menstrual cycle impacts lung structure measures derived from quantitative computed tomography
- Creators
- Jessica C. Sieren - University of IowaKimberly E. Schroeder - University of IowaJunfeng Guo - University of IowaKewal Asosingh - Cleveland Clinic Lerner Research InstituteSerpil Erzurum - Cleveland ClinicEric A. Hoffman - University of Iowa
- Resource Type
- Journal article
- Publication Details
- European radiology, Vol.32(5), pp.2883-2890
- DOI
- 10.1007/s00330-021-08404-9
- PMID
- 34928413
- PMCID
- PMC9038622
- NLM abbreviation
- Eur Radiol
- ISSN
- 0938-7994
- eISSN
- 1432-1084
- Publisher
- Springer Nature
- Number of pages
- 8
- Grant note
- R01HL112986; P01HL103453; NIH S10OD018526 / National Institutes of Health (NIH); United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
- Language
- English
- Date published
- 12/20/2021
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Internal Medicine
- Record Identifier
- 9984318810402771
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