Why the study?
Does a prediction model using CT low attenuation area and preoperative oxygen saturation improve prediction of postoperative hypoxemia in patients undergoing anatomical pulmonary resection?
Population
53 consecutive patients undergoing anatomical pulmonary resection
Comparison
Prediction model using preoperative oxygen… vs Conventional spirometric variables
Design
Cohort
Follow-up
1 day after surgery
Authors
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May support CT-based hypoxemia prediction after lung resection; leaves open prospective validation versus spirometry.
Does a prediction model using CT low attenuation area and preoperative oxygen saturation improve prediction of postoperative hypoxemia in patients undergoing anatomical pulmonary resection?
A novel radiographic parameter based on the extent of low attenuation area on 3D CT, combined with preoperative oxygen saturation, is superior to conventional spirometry for predicting postoperative hypoxemia after lung resection.
Kazuhiro Ueda (2005) studied this question.
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