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Unilateral Lung Volume Analysis Using Micro-CT for Enhanced Assessment of Pulmonary Fibrosis in Preclinical Models

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Computed tomography volumetric analysis for predicting postoperative lung function for segmentectomy.

Seon Yong Bae¹, Haeju Lee¹, Kwon Joong Na^1,2

¹Department of Thoracic and Cardiovascular Surgery, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea.

Interactive Cardiovascular and Thoracic Surgery

|July 25, 2022

Summary

This summary is machine-generated.

Computed tomographic (CT) volumetric analysis and anatomical segment counting (ASC) accurately predict postoperative lung function after segmentectomy for lung cancer. Both methods showed high concordance and no significant difference compared to actual patient outcomes.

Keywords:

Computed tomography Lung cancer Lung resection surgery Predictive postoperative lung function

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Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

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Area of Science:

Thoracic Surgery
Pulmonary Medicine
Radiology

Background:

Segmentectomy is a common surgical procedure for early-stage lung cancer.
Accurate prediction of postoperative pulmonary function is crucial for patient management.
Traditional methods for predicting lung function may have limitations.

Purpose of the Study:

To compare computed tomographic (CT) volumetric analysis and anatomical segment counting (ASC) for predicting postoperative lung function (FEV1 and DLCO) after segmentectomy.
To assess the concordance and accuracy of these prediction methods against actual postoperative values.

Main Methods:

A total of 175 patients undergoing segmentectomy for lung cancer were included.
CT volumetric analysis and ASC were used to calculate predicted postoperative (PPO) values for FEV1 and DLCO.
Concordance and differences between PPO values from both methods and actual postoperative pulmonary function tests were analyzed.

Main Results:

Both CT volumetric analysis and ASC demonstrated high concordance for predicting postoperative FEV1 (concordance correlation coefficient = 0.96) and DLCO (concordance correlation coefficient = 0.95).
No significant differences were found between predicted and actual postoperative FEV1 and DLCO values, irrespective of the prediction method used or patient subgroups.
Subgroup analyses based on pulmonary function, number of resected segments, and lobe location did not reveal significant discrepancies.

Conclusions:

CT volumetric analysis and ASC are both highly effective in predicting postoperative FEV1 and DLCO after lung cancer segmentectomy.
These imaging-based methods provide reliable estimations of lung function, aiding in surgical planning and patient counseling.