Cargando…

Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis

PURPOSE: To quantitatively analyze lung elasticity in idiopathic pulmonary fibrosis (IPF) using elastic registration based on 3-dimensional pulmonary magnetic resonance imaging (3D-PMRI) and to assess its’ correlations with the severity of IPF patients. MATERIAL AND METHODS: Thirty male patients wit...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Xiaoyan, Yu, Pengxin, Xu, Wenqing, Sun, Haishuang, Duan, Jianghui, Han, Yueyin, Zhu, Lili, Xie, Bingbing, Geng, Jing, Luo, Sa, Wang, Shiyao, Ren, Yanhong, Zhang, Rongguo, Liu, Min, Dai, Huaping, Wang, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597429/
https://www.ncbi.nlm.nih.gov/pubmed/37732685
http://dx.doi.org/10.1097/RTI.0000000000000735
_version_ 1785125338735443968
author Yang, Xiaoyan
Yu, Pengxin
Xu, Wenqing
Sun, Haishuang
Duan, Jianghui
Han, Yueyin
Zhu, Lili
Xie, Bingbing
Geng, Jing
Luo, Sa
Wang, Shiyao
Ren, Yanhong
Zhang, Rongguo
Liu, Min
Dai, Huaping
Wang, Chen
author_facet Yang, Xiaoyan
Yu, Pengxin
Xu, Wenqing
Sun, Haishuang
Duan, Jianghui
Han, Yueyin
Zhu, Lili
Xie, Bingbing
Geng, Jing
Luo, Sa
Wang, Shiyao
Ren, Yanhong
Zhang, Rongguo
Liu, Min
Dai, Huaping
Wang, Chen
author_sort Yang, Xiaoyan
collection PubMed
description PURPOSE: To quantitatively analyze lung elasticity in idiopathic pulmonary fibrosis (IPF) using elastic registration based on 3-dimensional pulmonary magnetic resonance imaging (3D-PMRI) and to assess its’ correlations with the severity of IPF patients. MATERIAL AND METHODS: Thirty male patients with IPF (mean age: 62±6 y) and 30 age-matched male healthy controls (mean age: 62±6 y) were prospectively enrolled. 3D-PMRI was acquired with a 3-dimensional ultrashort echo time sequence in end-inspiration and end-expiration. MR images were registered from end-inspiration to end-expiration with the elastic registration algorithm. Jacobian determinants were calculated from deformation fields on color maps. The log means of the Jacobian determinants (Jac-mean) and Dice similarity coefficient were used to describe lung elasticity between 2 groups. Then, the correlation of lung elasticity with dyspnea Medical Research Council (MRC) score, exercise tolerance, health-related quality of life, lung function, and the extent of pulmonary fibrosis on chest computed tomography were analyzed. RESULTS: The Jac-mean of IPF patients (−0.19, [IQR: −0.22, −0.15]) decreased (absolute value), compared with healthy controls (−0.28, [IQR: −0.31, −0.24], P<0.001). The lung elasticity in IPF patients with dyspnea MRC≥3 (Jac-mean: −0.15; Dice: 0.06) was significantly lower than MRC 1 (Jac-mean: −0.22, P=0.001; Dice: 0.10, P=0.001) and MRC 2 (Jac-mean: −0.21, P=0.007; Dice: 0.09, P<0.001). In addition, the Jac-mean negatively correlated with forced vital capacity % (r=−0.487, P<0.001), forced expiratory volume 1% (r=−0.413, P=0.004), TLC% (r=−0.488, P<0.001), diffusing capacity of the lungs for carbon monoxide % predicted (r=−0.555, P<0.001), 6-minute walk distance (r=−0.441, P=0.030) and positively correlated with respiratory symptoms (r=0.430, P=0.042). Meanwhile, the Dice similarity coefficient positively correlated with forced vital capacity % (r=0.577, P=0.004), forced expiratory volume 1% (r=0.526, P=0.012), diffusing capacity of the lungs for carbon monoxide % predicted (r=0.435, P=0.048), 6-minute walk distance (r=0.473, P=0.016), final peripheral oxygen saturation (r=0.534, P=0.004), the extent of fibrosis on chest computed tomography (r=−0.421, P=0.021) and negatively correlated with activity (r=−0.431, P=0.048). CONCLUSION: Lung elasticity decreased in IPF patients and correlated with dyspnea, exercise tolerance, health-related quality of life, lung function, and the extent of pulmonary fibrosis. The lung elasticity based on elastic registration of 3D-PMRI may be a new nonradiation imaging biomarker for quantitative evaluation of the severity of IPF.
format Online
Article
Text
id pubmed-10597429
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Lippincott Williams & Wilkins
record_format MEDLINE/PubMed
spelling pubmed-105974292023-10-25 Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis Yang, Xiaoyan Yu, Pengxin Xu, Wenqing Sun, Haishuang Duan, Jianghui Han, Yueyin Zhu, Lili Xie, Bingbing Geng, Jing Luo, Sa Wang, Shiyao Ren, Yanhong Zhang, Rongguo Liu, Min Dai, Huaping Wang, Chen J Thorac Imaging Original Articles PURPOSE: To quantitatively analyze lung elasticity in idiopathic pulmonary fibrosis (IPF) using elastic registration based on 3-dimensional pulmonary magnetic resonance imaging (3D-PMRI) and to assess its’ correlations with the severity of IPF patients. MATERIAL AND METHODS: Thirty male patients with IPF (mean age: 62±6 y) and 30 age-matched male healthy controls (mean age: 62±6 y) were prospectively enrolled. 3D-PMRI was acquired with a 3-dimensional ultrashort echo time sequence in end-inspiration and end-expiration. MR images were registered from end-inspiration to end-expiration with the elastic registration algorithm. Jacobian determinants were calculated from deformation fields on color maps. The log means of the Jacobian determinants (Jac-mean) and Dice similarity coefficient were used to describe lung elasticity between 2 groups. Then, the correlation of lung elasticity with dyspnea Medical Research Council (MRC) score, exercise tolerance, health-related quality of life, lung function, and the extent of pulmonary fibrosis on chest computed tomography were analyzed. RESULTS: The Jac-mean of IPF patients (−0.19, [IQR: −0.22, −0.15]) decreased (absolute value), compared with healthy controls (−0.28, [IQR: −0.31, −0.24], P<0.001). The lung elasticity in IPF patients with dyspnea MRC≥3 (Jac-mean: −0.15; Dice: 0.06) was significantly lower than MRC 1 (Jac-mean: −0.22, P=0.001; Dice: 0.10, P=0.001) and MRC 2 (Jac-mean: −0.21, P=0.007; Dice: 0.09, P<0.001). In addition, the Jac-mean negatively correlated with forced vital capacity % (r=−0.487, P<0.001), forced expiratory volume 1% (r=−0.413, P=0.004), TLC% (r=−0.488, P<0.001), diffusing capacity of the lungs for carbon monoxide % predicted (r=−0.555, P<0.001), 6-minute walk distance (r=−0.441, P=0.030) and positively correlated with respiratory symptoms (r=0.430, P=0.042). Meanwhile, the Dice similarity coefficient positively correlated with forced vital capacity % (r=0.577, P=0.004), forced expiratory volume 1% (r=0.526, P=0.012), diffusing capacity of the lungs for carbon monoxide % predicted (r=0.435, P=0.048), 6-minute walk distance (r=0.473, P=0.016), final peripheral oxygen saturation (r=0.534, P=0.004), the extent of fibrosis on chest computed tomography (r=−0.421, P=0.021) and negatively correlated with activity (r=−0.431, P=0.048). CONCLUSION: Lung elasticity decreased in IPF patients and correlated with dyspnea, exercise tolerance, health-related quality of life, lung function, and the extent of pulmonary fibrosis. The lung elasticity based on elastic registration of 3D-PMRI may be a new nonradiation imaging biomarker for quantitative evaluation of the severity of IPF. Lippincott Williams & Wilkins 2023-11 2023-09-06 /pmc/articles/PMC10597429/ /pubmed/37732685 http://dx.doi.org/10.1097/RTI.0000000000000735 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Articles
Yang, Xiaoyan
Yu, Pengxin
Xu, Wenqing
Sun, Haishuang
Duan, Jianghui
Han, Yueyin
Zhu, Lili
Xie, Bingbing
Geng, Jing
Luo, Sa
Wang, Shiyao
Ren, Yanhong
Zhang, Rongguo
Liu, Min
Dai, Huaping
Wang, Chen
Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis
title Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis
title_full Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis
title_fullStr Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis
title_full_unstemmed Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis
title_short Elastic Registration Algorithm Based on Three-dimensional Pulmonary MRI in Quantitative Assessment of Severity of Idiopathic Pulmonary Fibrosis
title_sort elastic registration algorithm based on three-dimensional pulmonary mri in quantitative assessment of severity of idiopathic pulmonary fibrosis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10597429/
https://www.ncbi.nlm.nih.gov/pubmed/37732685
http://dx.doi.org/10.1097/RTI.0000000000000735
work_keys_str_mv AT yangxiaoyan elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT yupengxin elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT xuwenqing elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT sunhaishuang elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT duanjianghui elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT hanyueyin elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT zhulili elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT xiebingbing elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT gengjing elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT luosa elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT wangshiyao elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT renyanhong elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT zhangrongguo elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT liumin elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT daihuaping elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis
AT wangchen elasticregistrationalgorithmbasedonthreedimensionalpulmonarymriinquantitativeassessmentofseverityofidiopathicpulmonaryfibrosis