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ORIGINAL STUDY
Prediction of postoperative DLCO in lung cancer patients
after lobectomy. Comparison between quantitative CT
and the anatomic method
| 1 | Respiratory Function Laboratory, 1st
Respiratory Medicine Department, “Sotiria”
Hospital for Diseases of the Chest, University
of Athens, Greece |
| 2 | 1st Department of Thoracic Surgery, “Sotiria”
Hospital for Diseases of the Chest, Athens,
Greece |
| 3 | Department of Medical Imaging and
Interventional Radiology, “Sotiria” Hospital for
Diseases of the Chest, Athens, Greece |
CORRESPONDING AUTHOR
Chrysovalantis V. Papageorgiou
1st Respiratory Medicine Department, “Sotiria” Hospital for Diseases of the Chest, University of Athens, Greece; 152 Mesogeion Ave, 11527 Athens, Greece
1st Respiratory Medicine Department, “Sotiria” Hospital for Diseases of the Chest, University of Athens, Greece; 152 Mesogeion Ave, 11527 Athens, Greece
Publication date: 2021-06-17
Pneumon 2016;29(1):40–47
KEYWORDS
ABSTRACT
Background:
Prediction of postoperative DLCO has a key role in the preoperative evaluation of lung resection candidates. The aim of the study is to evaluate the role of quantitative CT to predict postoperative DLCO in lung cancer patients undergoing lobectomy, comparing it with the anatomic method of segment counting.
Methods:
DLCO was measured preoperatively and 3 months postoperatively in 16 lung cancer patients undergoing lobectomy. Predicted postoperative values estimated with quantitative CT and the anatomic method were correlated to the actual postoperative measurements.
Results:
Pearson’s r was 0.81 for quantitative CT vs 0.75 for the anatomic method. The limits of agreement between predicted and actually measured postoperative DLCO were narrower for quantitative CT vs the anatomic method (-0.4±2.4 vs -0.45±2.8mmol/min/kPa respectively). Focusing on 8 patients with abnormal preoperative DLCO values, higher correlation and smaller mean difference was observed when using quantitative CT.
Conclusion:
Quantitative CT is more accurate than the anatomic method of functional segment counting for the prediction of postoperative DLCO in lobectomy candidates.
Prediction of postoperative DLCO has a key role in the preoperative evaluation of lung resection candidates. The aim of the study is to evaluate the role of quantitative CT to predict postoperative DLCO in lung cancer patients undergoing lobectomy, comparing it with the anatomic method of segment counting.
Methods:
DLCO was measured preoperatively and 3 months postoperatively in 16 lung cancer patients undergoing lobectomy. Predicted postoperative values estimated with quantitative CT and the anatomic method were correlated to the actual postoperative measurements.
Results:
Pearson’s r was 0.81 for quantitative CT vs 0.75 for the anatomic method. The limits of agreement between predicted and actually measured postoperative DLCO were narrower for quantitative CT vs the anatomic method (-0.4±2.4 vs -0.45±2.8mmol/min/kPa respectively). Focusing on 8 patients with abnormal preoperative DLCO values, higher correlation and smaller mean difference was observed when using quantitative CT.
Conclusion:
Quantitative CT is more accurate than the anatomic method of functional segment counting for the prediction of postoperative DLCO in lobectomy candidates.
CONFLICTS OF INTEREST
None declared.
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