Literature DB >> 26979912

Computed tomography confirms a reduction in diaphragm thickness in mechanically ventilated patients.

Gi Dong Lee1, Ho Cheol Kim2, Jung-Wan Yoo1, Seung Jun Lee1, Yu Ji Cho1, Kyungsoo Bae3, Jong Deog Lee1.   

Abstract

PURPOSE: Patients who require mechanical ventilation (MV) may experience diaphragm atrophy, which may delay the discontinuation of MV. Here, we used computed tomographic (CT) scans to confirm this phenomenon. METHOD AND MATERIALS: Patients who underwent two chest CT scans while on MV were retrospectively evaluated. Diaphragm thickness was measured using a three-dimensional CT image processing program.
RESULTS: Thirteen patients, including 8 men, who underwent 26 CT scans were assessed. The mean age was 67.8 ± 7.5 years. The interval between CT scans was 18.4 ± 14.9 days. The first CT scans revealed that the mean thicknesses of the left and right sides of the diaphragm were 3.8 ± 0.6 and 3.9 ± 0.8 mm, respectively (total: 7.7 ± 1.4 mm). These values were significantly reduced to 3.4 ± 0.6 and 3.5 ± 0.9 mm, respectively, (total: 6.9 ± 1.5 mm) after the second scan (P < .01). No significant change in body weight (57.3 ± 12.6 vs. 56.7 ± 11.6 kg) or body mass index (21.8 ± 5.1 vs. 21.6 ± 4.8 kg/m(2)) was observed.
CONCLUSION: Computed tomography confirmed that diaphragm thickness was reduced in critically ill patients who underwent MV.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed tomography; Diaphragm; Mechanical ventilation; Thickness

Mesh:

Year:  2016        PMID: 26979912     DOI: 10.1016/j.jcrc.2016.02.013

Source DB:  PubMed          Journal:  J Crit Care        ISSN: 0883-9441            Impact factor:   3.425


  3 in total

Review 1.  Ultrasound and non-ultrasound imaging techniques in the assessment of diaphragmatic dysfunction.

Authors:  Franco A Laghi; Marina Saad; Hameeda Shaikh
Journal:  BMC Pulm Med       Date:  2021-03-15       Impact factor: 3.317

2.  CT-derived 3D-diaphragm motion in emphysema and IPF compared to normal subjects.

Authors:  Ji Hee Kang; Jiwoong Choi; Kum Ju Chae; Kyung Min Shin; Chang-Hoon Lee; Junfeng Guo; Ching-Long Lin; Eric A Hoffman; Changhyun Lee
Journal:  Sci Rep       Date:  2021-07-21       Impact factor: 4.996

3.  Thoracic skeletal muscle quantification using computed tomography and prognosis of elderly ICU patients.

Authors:  Sung Woo Moon; Song Yee Kim; Ji Soo Choi; Ah Young Leem; Su Hwan Lee; Moo Suk Park; Young Sam Kim; Kyung Soo Chung
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.