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Prediction of anatomical lung volume using planimetric measurements on chest radiographs

Authors
 Chul Hwan Park  ;  Seok Jin Haam  ;  Sungsoo Lee  ;  Kyung Hwa Han  ;  Tae Hoon Kim 
Citation
 ACTA RADIOLOGICA, Vol.57(9) : 1066-1071, 2016 
Journal Title
ACTA RADIOLOGICA
ISSN
 0284-1851 
Issue Date
2016
MeSH
Adult ; Female ; Humans ; Lung Neoplasms/diagnostic imaging ; Lung Volume Measurements* ; Male ; Middle Aged ; Predictive Value of Tests ; Radiography, Thoracic* ; Tomography, X-Ray Computed/methods*
Keywords
Computed tomography (CT) ; chest radiograph ; lung volume ; planimetric measurement
Abstract
BACKGROUND: The anatomical lung volume is conventionally measured by computed tomography (CT). However, chest radiographs could be considered as an alternative method with low cost and low radiation.

PURPOSE: To predict the anatomical lung volume using planimetric measurements of chest radiographs.

MATERIAL AND METHODS: In total, 119 participants (M:F ratio?=?66:53; age, 53.7?±?9.6 years) who underwent chest CT for lung cancer screening were enrolled. The lung volume on CT was measured as a reference for the anatomical lung volume. To eliminate the bias from the degree of inspiration, virtual chest radiographs (posterior-anterior view and lateral view) were generated from the CT images using the thick multiplanar technique, and the lung area (cm(2)) was measured in the right (P), left (Q), and lateral (R) lungs according to the planimetric method. A regression equation predicting the anatomical lung volume from the planimetric measurements was generated. The correlation between the measured and estimated lung volumes was evaluated. The percentage error rate (%) was calculated and the equation was validated internally and externally.

RESULTS: The equation predicting the anatomical lung volume (mL) was 9.6*S-1367, where the summed lung area (S) was defined as (P?+?Q?+?R). The measured and estimated lung volumes were highly correlated (R?=?0.941, P?
CONCLUSION: The anatomical lung volume may be feasibly and accurately predicted from planimetric measurements of chest radiographs.
Full Text
http://journals.sagepub.com/doi/abstract/10.1177/0284185115618548
DOI
10.1177/0284185115618548
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Tae Hoon(김태훈) ORCID logo https://orcid.org/0000-0003-3598-2529
Park, Chul Hwan(박철환) ORCID logo https://orcid.org/0000-0002-0004-9475
Lee, Sung Soo(이성수) ORCID logo https://orcid.org/0000-0001-8998-9510
Haam, Seok Jin(함석진)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/151864
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