Quantitative computed tomography to predict postoperative FEV1 after lung cancer surgery

Area of Science:

• Pulmonary Medicine
• Thoracic Surgery
• Radiology

Background:

• Accurate estimation of predicted postoperative FEV1 (ppoFEV1) is crucial for non-small cell lung cancer (NSCLC) surgical planning.
• Traditional methods for ppoFEV1 estimation include formulas and scintigraphy.
• Lung volumetry using chest computed tomography (CT) offers a potential alternative approach.

Purpose of the Study:

• To evaluate a quantitative CT-based lung volumetry approach for estimating ppoFEV1.
• To compare the accuracy of quantitative CT with established methods for ppoFEV1 calculation.
• To assess the reliability of quantitative CT in preoperative assessment for NSCLC patients.

Main Methods:

• A prospective study included 23 NSCLC patients over one year.
• ppoFEV1 was calculated using quantitative CT and compared with Nakahara, Juhl and Frost formulas, and ventilation/perfusion scintigraphy.
• Quantitative CT involved calculating total lung volume, subtracting tumor and emphysema volumes.

Main Results:

• Quantitative CT demonstrated a better correlation (R²=0.79) with postoperative FEV1 (poFEV1) compared to other methods.
• The mean volume difference between quantitative CT-derived ppoFEV1 and poFEV1 was 266±229 mL, significantly smaller than other methods (P<0.01).
• Quantitative CT showed superior accuracy and reliability in ppoFEV1 estimation.

Conclusions:

• Quantitative CT is a satisfactory and more reliable method for ppoFEV1 evaluation in NSCLC patients.
• This method simplifies preoperative assessment by not requiring additional examinations like scintigraphy.
• Quantitative CT has the potential to become the reference standard for ppoFEV1 estimation.