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Clinical parameters affecting prediction accuracy of postoperative lung function in non-small cell lung cancer

^a Division of Pulmonary, Allergy and Critical Care Medicine of Hallym University Sacred-Heart Hospital, 896 Pyungchon-dong, Anyang, Gyeonggi-do 431-070, Republic of Korea
^b Department of Chest Surgery of Hallym University Sacred-Heart Hospital, Hallym University College of Medicine, Anyang, Gyeonggi-do 431-070, Republic of Korea

Corresponding author. Tel.: +82-31-380-3718; fax: +82-31-380-3973.

E-mail address: chestor{at}hallym.ac.kr (S.H. Jang).

Despite significant development in chemotherapy and radiotherapy, surgery is still the cornerstone for curative lung cancer treatment. Accurate prediction of postoperative lung function is mandatory. The goal of this study was to identify important clinical factors affecting prediction accuracy of postoperative lung function for more careful patient selection. The medical records of non-small cell lung cancer patients undergoing pulmonary resection were reviewed. An accuracy index, apo/ppoFEV₁ was defined as the ratio of actual postoperative FEV₁ [apoFEV₁] to predicted postoperative FEV₁ [ppoFEV₁]. We used multivariate analysis to inspect the relationship between the accuracy index and seven tentative clinical factors: age, gender, preoperative FEV₁, time interval between operation and the first postoperative FEV₁, bronchodilator response (%), resected lung portion, and the number of resected lung segments. A total of 82 patients were analyzed. Accuracy index of quantitative perfusion lung scan-based prediction was better than that of simple calculation. Multivariate analysis identified the number of resected lung segments and preoperative FEV₁ as the significant clinical factors affecting the accuracy index (P=0.026 and 0.002, respectively). Preoperative FEV₁ and the number of resected lung segments are significant clinical factors affecting prediction accuracy of postoperative lung function.

Key Words: Lung function; Prediction accuracy; Lung cancer