Literature DB >> 30927960

Time-resolved quantitative evaluation of diaphragmatic motion during forced breathing in a health screening cohort in a standing position: Dynamic chest phrenicography.

Tomoyuki Hida1, Yoshitake Yamada2, Masako Ueyama3, Tetsuro Araki4, Mizuki Nishino4, Atsuko Kurosaki5, Masahiro Jinzaki2, Hiroshi Honda6, Hiroto Hatabu7, Shoji Kudoh8.   

Abstract

OBJECTIVE: To assess diaphragmatic motion during forced breathing in a health screening center cohort by time-resolved quantitative analysis using dynamic chest radiography and demonstrate the characteristics and associations with demographics and pulmonary function of participants.
MATERIALS AND METHODS: This prospective study includes 174 volunteers (99 males; median 57, range 36-93 years old) that underwent dynamic chest radiography with a flat panel detector system during forced breathing in a standing position. We automatically tracked and recorded the positions of the top of the diaphragms and the excursions on images of each participant and calculated peak motion speeds based on the data. We investigated the associations with demographics and pulmonary function statistically.
RESULTS: The average excursions of the diaphragms during forced breathing were 49.1 ± 17.0 mm (right; mean ± standard deviation) and 52.1 ± 15.9 mm (left). The peak motion speeds were 26.7 ± 10.0 mm/s (right) and 32.2 ± 12.4 mm/s (left) in the inspiratory phase and 22.1 ± 12.7 mm/s (right) and 24.3 ± 10.3 mm/s (left) in the expiratory phase. Excursions and peak motion speeds of the left diaphragm were significantly greater than the right. Higher body mass index (BMI) and vital capacity (VC) were associated with greater excursions and faster peak motion speeds of the diaphragms.
CONCLUSIONS: Time-resolved quantitative analysis of the diaphragms with dynamic chest radiography demonstrated the characteristics of diaphragmatic motion during forced breathing in a health screening cohort. Higher BMI and VC were associated with excursions and peak motion speeds of the diaphragms.
Copyright © 2019 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Diaphragm; Dynamic chest radiography; Forced breathing; Health screening cohort; Pulmonary function

Mesh:

Year:  2019        PMID: 30927960     DOI: 10.1016/j.ejrad.2019.01.034

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  9 in total

1.  Dynamic chest radiography: clinical validation of ventilation and perfusion metrics derived from changes in radiographic lung density compared to nuclear medicine imaging.

Authors:  Rie Tanaka; Isao Matsumoto; Masaya Tamura; Munehisa Takata; Shuhei Yoshida; Daisuke Saito; Yusuke Tanaka; Dai Inoue; Noriyuki Ohkura; Kazuo Kasahara
Journal:  Quant Imaging Med Surg       Date:  2021-09

2.  Diaphragmatic thickness and excursion by lung ultrasound in pediatric chronic pulmonary diseases.

Authors:  Sally R Ishak; Hossam M Sakr
Journal:  J Ultrasound       Date:  2021-02-18

3.  Breathing Signature as Vitality Score Index Created by Exercises of Qigong: Implications of Artificial Intelligence Tools Used in Traditional Chinese Medicine.

Authors:  Junjie Zhang; Qingning Su; William G Loudon; Katherine L Lee; Jane Luo; Brent A Dethlefs; Shengwen Calvin Li
Journal:  J Funct Morphol Kinesiol       Date:  2019-12-03

Review 4.  Dynamic Chest X-Ray Using a Flat-Panel Detector System: Technique and Applications.

Authors:  Akinori Hata; Yoshitake Yamada; Rie Tanaka; Mizuki Nishino; Tomoyuki Hida; Takuya Hino; Masako Ueyama; Masahiro Yanagawa; Takeshi Kamitani; Atsuko Kurosaki; Shigeru Sanada; Masahiro Jinzaki; Kousei Ishigami; Noriyuki Tomiyama; Hiroshi Honda; Shoji Kudoh; Hiroto Hatabu
Journal:  Korean J Radiol       Date:  2020-11-30       Impact factor: 3.500

5.  Characterisation of hemidiaphragm dysfunction using dynamic chest radiography: a pilot study.

Authors:  Thomas Simon FitzMaurice; Caroline McCann; Dilip S Nazareth; Martin J Walshaw
Journal:  ERJ Open Res       Date:  2022-02-21

6.  Vector-Field dynamic X-ray (VF-DXR) using Optical Flow Method.

Authors:  Takuya Hino; Akinori Tsunomori; Takenori Fukumoto; Akinori Hata; Masako Ueyama; Atsuko Kurosaki; Tsutomu Yoneyama; Sumiya Nagatsuka; Shoji Kudoh; Hiroto Hatabu
Journal:  Br J Radiol       Date:  2021-07-08       Impact factor: 3.629

7.  Utility and validity of dynamic chest radiography in cystic fibrosis (dynamic CF): an observational, non-controlled, non-randomised, single-centre, prospective study.

Authors:  Thomas Simon FitzMaurice; Paul Stephen McNamara; Dilip Nazareth; Caroline McCann; Ram Bedi; Matthew Shaw; Martin Walshaw
Journal:  BMJ Open Respir Res       Date:  2020-03

8.  Projected lung areas using dynamic X-ray (DXR).

Authors:  Takuya Hino; Akinori Hata; Tomoyuki Hida; Yoshitake Yamada; Masako Ueyama; Tetsuro Araki; Takeshi Kamitani; Mizuki Nishino; Atsuko Kurosaki; Masahiro Jinzaki; Kousei Ishigami; Hiroshi Honda; Hiroto Hatabu; Shoji Kudoh
Journal:  Eur J Radiol Open       Date:  2020-09-12

9.  Examination of the diaphragm in obstructive sleep apnea using ultrasound imaging.

Authors:  Viktória Molnár; András Molnár; Zoltán Lakner; Dávid László Tárnoki; Ádám Domonkos Tárnoki; Zsófia Jokkel; Helga Szabó; András Dienes; Emese Angyal; Fruzsina Németh; László Kunos; László Tamás
Journal:  Sleep Breath       Date:  2021-09-03       Impact factor: 2.655

  9 in total

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