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Analytic Morphomics Are Related to Outcomes After Lung Volume Reduction Surgery
Jules Lin1, William B Weir2, Tyler Grenda2
1Section of Thoracic Surgery, University of Michigan Medical School, Ann Arbor, Michigan..
Analytic morphomics on CT scans can predict lung volume reduction surgery outcomes. Lower bone density and subcutaneous fat are linked to worse survival and readmissions, suggesting frailty impacts surgical risk.
Area of Science:
- Thoracic surgery
- Radiology
- Pulmonary medicine
Background:
- Lung volume reduction surgery (LVRS) has high morbidity despite established selection criteria.
- Analytic morphomics offers a novel approach to assess patient characteristics from CT scans.
Purpose of the Study:
- To evaluate the association between analytic morphomics on chest CT scans and outcomes after LVRS.
- To identify imaging biomarkers for improved risk stratification in LVRS candidates.
Main Methods:
- Retrospective review of 85 LVRS patients (1998-2013).
- Assessment of dorsal muscle area, subcutaneous/visceral fat, and bone mineral density using analytic morphomics.
- Analysis of outcomes including survival, hospital stay, 30-day readmission, and pulmonary complications.
Main Results:
- Lower bone mineral density correlated with decreased survival, longer hospital stay, and readmissions.
- Higher lung density (scarring) was associated with pulmonary complications and longer hospital stay.
- Lower subcutaneous fat area:height linked to readmissions, potentially indicating reduced metabolic reserve.
Conclusions:
- Signs of frailty, such as lower bone mineral density, may increase the risk of adverse outcomes after LVRS.
- Analytic morphomics shows potential for improving risk stratification and patient selection for LVRS.
- Further multicenter trials are needed to confirm these findings.
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