Cited 0 times in

Predicting postoperative lung function using ventilation SPECT/CT in patients with lung cancer

Authors
 Yong Ho Jeong  ;  Hyun Lee  ;  Hyo Jun Jang  ;  Dong Won Park  ;  Yun Young Choi  ;  Soo Jin Lee 
Citation
 JOURNAL OF THORACIC DISEASE, Vol.16(2) : 1054-1062, 2024-02 
Journal Title
JOURNAL OF THORACIC DISEASE
ISSN
 2072-1439 
Issue Date
2024-02
Keywords
Lung neoplasms ; forced expiratory volume ; perfusion ; single-photon emission computed tomography (SPECT) ; ventilation
Abstract
Background: Single-photon emission computed tomography/computed tomography (SPECT/CT) has the advantage of assessing regional lung function. We aimed to investigate the potential of ventilation (SPECT/CT) for predicting postoperative lung function in patients with lung cancer.

Methods: This retrospective study included consecutive patients with lung cancer who underwent lobectomy, preoperative ventilation, and perfusion SPECT/CT between January 2020 and December 2021. The percentage of predicted postoperative forced expiratory volume in 1 s (ppoFEV1%) and the percentage of predicted postoperative diffusion capacity of the lung for carbon monoxide (ppoDLCO%) were calculated from the % counts of each scan based on anatomical segments for lobar function. Correlation tests were performed between the predicted lung function values and actual ppoFEV1% and ppoDLCO%.

Results: Among the 47 patients, 29 men and 18 women aged 67.5±9.6 years were included. Moreover, 46 ventilation and 41 perfusion SPECT/CT scans were obtained. The pulmonary function on ventilation SPECT/CT strongly correlated with perfusion SPECT/CT (correlation coefficient r=0.939 for ppoFEV1%, P<0.001; r=0.938 for ppoDLCO%, P<0.001). Both ppoFEV1% and ppoDLCO% values obtained from the ventilation and perfusion scans strongly correlated with postoperative FEV1% and DLCO% (correlation coefficient, r=0.774 and r=0.768 for ventilation; r=0.795 and r=0.751 for perfusion, each P<0.001).

Conclusions: Ventilation SPECT/CT was comparable to perfusion SPECT/CT in predicting postoperative lung function.
Files in This Item:
T992025179.pdf Download
DOI
10.21037/jtd-23-15631062
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/204270
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse

Links