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10.3390/life13010198
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Article

Software-Based Assessment of Well-Aerated Lung at CT for Quantification of Predicted Pulmonary Function in Resected NSCLC

by
Davide Colombi
1,*,
Camilla Risoli
1,
Rocco Delfanti
2,
Sara Chiesa
3,
Nicola Morelli
1,
Marcello Petrini
1,
Patrizio Capelli
2,
Cosimo Franco
3 and
Emanuele Michieletti
1
1
Department of Radiological Functions, Radiology Unit, AUSL Piacenza, Via Taverna 49, 29121 Piacenza, Italy
2
Department of Surgery, General Surgery Unit, AUSL Piacenza, Via Taverna 49, 29121 Piacenza, Italy
3
Emergency Department, Pulmonology Unit, AUSL Piacenza, Via Taverna 49, 29121 Piacenza, Italy
*
Author to whom correspondence should be addressed.
Life 2023, 13(1), 198; https://doi.org/10.3390/life13010198
Submission received: 17 December 2022 / Revised: 27 December 2022 / Accepted: 3 January 2023 / Published: 10 January 2023
(This article belongs to the Special Issue Surgical Treatment and Outcomes of Lung Cancer)
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Abstract

Background: To test the agreement between postoperative pulmonary function tests 12 months after surgery (mpo-PFTs) for non-small cell lung cancer (NSCLC) and predicted lung function based on the quantification of well-aerated lung (WAL) at staging CT (sCT). Methods: We included patients with NSCLC who underwent lobectomy or segmentectomy without a history of thoracic radiotherapy or chemotherapy treatment with the availability of PFTs at 12 months follow-up. Postoperative predictive (ppo) lung function was calculated using the resected lobe WAL (the lung volume between −950 and −750 HU) at sCT. The Spearman correlation coefficient (rho) and intraclass correlation coefficient (ICC) were used to the test the agreement between WAL ppo-PFTs and mpo-PFTs. Results: the study included 40 patients (68 years-old, IQR 62–74 years-old; 26/40, 65% males). The WAL ppo-forced expiratory volume in 1 s (FEV1) and the ppo-diffusing capacity of the lung for carbon monoxide (%DLCO) were significantly correlated with corresponding mpo-PFTs (rho = 0.842 and 0.717 respectively; p < 0.001). The agreement with the corresponding mpo-PFTs of WAL ppo-FEV1 was excellent (ICC 0.904), while it was good (ICC 0.770) for WAL ppo-%DLCO. Conclusions: WAL ppo-FEV1 and WAL ppo-%DLCO at sCT showed, respectively, excellent and good agreement with corresponding mpo-PFTs measured 12 months after surgery for NSCLC. WAL is an easy parameter obtained by staging CT that can be used to estimate post-resection lung function for patients with borderline pulmonary function undergoing lung surgery.
Keywords: non-small-cell lung cancer; pulmonary function tests; computer applications software non-small-cell lung cancer; pulmonary function tests; computer applications software

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MDPI and ACS Style

Colombi, D.; Risoli, C.; Delfanti, R.; Chiesa, S.; Morelli, N.; Petrini, M.; Capelli, P.; Franco, C.; Michieletti, E. Software-Based Assessment of Well-Aerated Lung at CT for Quantification of Predicted Pulmonary Function in Resected NSCLC. Life 2023, 13, 198. https://doi.org/10.3390/life13010198

AMA Style

Colombi D, Risoli C, Delfanti R, Chiesa S, Morelli N, Petrini M, Capelli P, Franco C, Michieletti E. Software-Based Assessment of Well-Aerated Lung at CT for Quantification of Predicted Pulmonary Function in Resected NSCLC. Life. 2023; 13(1):198. https://doi.org/10.3390/life13010198

Chicago/Turabian Style

Colombi, Davide, Camilla Risoli, Rocco Delfanti, Sara Chiesa, Nicola Morelli, Marcello Petrini, Patrizio Capelli, Cosimo Franco, and Emanuele Michieletti. 2023. "Software-Based Assessment of Well-Aerated Lung at CT for Quantification of Predicted Pulmonary Function in Resected NSCLC" Life 13, no. 1: 198. https://doi.org/10.3390/life13010198

APA Style

Colombi, D., Risoli, C., Delfanti, R., Chiesa, S., Morelli, N., Petrini, M., Capelli, P., Franco, C., & Michieletti, E. (2023). Software-Based Assessment of Well-Aerated Lung at CT for Quantification of Predicted Pulmonary Function in Resected NSCLC. Life, 13(1), 198. https://doi.org/10.3390/life13010198

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