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Ann Thorac Surg 2005;80:1853-1858
© 2005 The Society of Thoracic Surgeons


Original article: General thoracic

Quantitative Computed Tomography Versus Spirometry in Predicting Air Leak Duration After Major Lung Resection for Cancer

Kazuhiro Ueda, MD a , * , Yoshikazu Kaneda, MD a , Manabu Sudo, MD a , Jinbo Mitsutaka, MD a , Tao-Sheng Li, MD a , Kazuyoshi Suga, MD b , Nobuyuki Tanaka, MD b , Kimikazu Hamano, MD a

a First Department of Surgery, Yamaguchi University School of Medicine, Ube Yamaguchi, Japan
b Department of Radiology, Yamaguchi University School of Medicine, Ube Yamaguchi, Japan

Accepted for publication May 9, 2005.

* Address correspondence to Dr Ueda, First Department of Surgery, Yamaguchi University School of Medicine, 1-1-1 Minami-Kogushi, Ube Yamaguchi 755-8505, Japan (Email: kaueda{at}c-able.ne.jp).

BACKGROUND: Emphysema is a well-known risk factor for developing air leak or persistent air leak after pulmonary resection. Although quantitative computed tomography (CT) and spirometry are used to diagnose emphysema, it remains controversial whether these tests are predictive of the duration of postoperative air leak.

METHODS: Sixty-two consecutive patients who were scheduled to undergo major lung resection for cancer were enrolled in this prospective study to define the best predictor of postoperative air leak duration. Preoperative factors analyzed included spirometric variables and area of emphysema (proportion of the low-attenuation area) that was quantified in a three-dimensional CT lung model. Chest tubes were removed the day after disappearance of the air leak, regardless of pleural drainage. Univariate and multivariate proportional hazards analyses were used to determine the influence of preoperative factors on chest tube time (air leak duration).

RESULTS: By univariate analysis, site of resection (upper, lower), forced expiratory volume in 1 second, predicted postoperative forced expiratory volume in 1 second, and area of emphysema (<1%, 1% to 10%, >10%) were significant predictors of air leak duration. By multivariate analysis, site of resection and area of emphysema were the best independent determinants of air leak duration. The results were similar for patients with a smoking history (n = 40), but neither forced expiratory volume in 1 second nor predicted postoperative forced expiratory volume in 1 second were predictive of air leak duration.

CONCLUSIONS: Quantitative CT is superior to spirometry in predicting air leak duration after major lung resection for cancer. Quantitative CT may aid in the identification of patients, particularly among those with a smoking history, requiring additional preventive procedures against air leak.




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