Literature DB >> 19136325

Improved noninvasive coronary angiography in morbidly obese patients with dual-source computed tomography.

Kavitha M Chinnaiyan1, Peter A McCullough, Thomas G Flohr, James H Wegner, Gilbert L Raff.   

Abstract

BACKGROUND: Morbidly obese persons (body mass index [BMI; in kg/m(2)] >or= 40) have an increased risk of cardiovascular morbidity and mortality but have reduced accuracy with conventional cardiac testing and coronary CT angiography (CCTA).
OBJECTIVE: This study investigated a novel dual-source computed tomography (DSCT) acquisition and reconstruction method for coronary imaging in morbidly obese patients.
METHODS: This was a observational study in which each patient served as his or her own control. After a single DSCT acquisition using a novel method, standard quarter-scan image reconstructions at a temporal resolution of 83 milliseconds were compared with temporal resolution reconstructions at 105, 125, and 165 milliseconds. Images were evaluated for diagnostic adequacy score and for image noise, signal-to-noise ratio, and contrast-to-noise ratio. In each patient, the image reconstruction with the best visual diagnostic score was compared with the control image for quantitative measures.
RESULTS: Fifty patients (32 female; mean +/- SD age, 51 +/- 10 y; mean BMI, 44.8 +/- 5.6) were enrolled. Scans were of diagnostic quality in 47 (94%) patients using the "best reconstruction" compared with 38 (76%) patients using quarter-scan reconstruction. Significant improvements were observed in noise (42 +/- 16 HU versus 56 +/- 19 HU; P < 0.0001), contrast-to-noise ratio (8.4 +/- 3.3 HU versus 7.0 +/- 2.2 HU; P = 0.0038), and signal-to-noise ratio (7.6 +/- 2.9 HU versus 6.5 +/- 3.5 HU; P = 0.030).
CONCLUSIONS: CCTA with DSCT using a modified scan protocol and adjustable temporal reconstructions provides diagnostic image quality in >90% of morbidly obese patients.

Entities:  

Mesh:

Year:  2008        PMID: 19136325     DOI: 10.1016/j.jcct.2008.11.003

Source DB:  PubMed          Journal:  J Cardiovasc Comput Tomogr        ISSN: 1876-861X


  7 in total

1.  [Obesity and heart failure].

Authors:  D Weismann; S Wiedmann; M Bala; S Frantz; M Fassnacht
Journal:  Internist (Berl)       Date:  2015-02       Impact factor: 0.743

Review 2.  Coronary CT Angiography in the Emergency Department: Current Status.

Authors:  Kavitha M Chinnaiyan; Gilbert L Raff
Journal:  Curr Treat Options Cardiovasc Med       Date:  2016-10

3.  Obese patients in an open MRI at 1.0 Tesla: image quality, diagnostic impact and feasibility.

Authors:  Maximilian de Bucourt; Florian Streitparth; Uta Wonneberger; Jens Rump; Ulf Teichgräber
Journal:  Eur Radiol       Date:  2010-12-03       Impact factor: 5.315

4.  Image quality of low-dose CCTA in obese patients: impact of high-definition computed tomography and adaptive statistical iterative reconstruction.

Authors:  Cathérine Gebhard; Tobias A Fuchs; Michael Fiechter; Julia Stehli; Barbara E Stähli; Oliver Gaemperli; Philipp A Kaufmann
Journal:  Int J Cardiovasc Imaging       Date:  2013-04-28       Impact factor: 2.357

5.  Image quality in obese patients undergoing 256-row computed tomography coronary angiography.

Authors:  Orit Lesman Segev; Tamar Gaspar; David A Halon; Nathan Peled; Liran Domachevsky; Basil S Lewis; Ronen Rubinshtein
Journal:  Int J Cardiovasc Imaging       Date:  2011-03-19       Impact factor: 2.357

6.  Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.

Authors:  Akio Tamura; Eisuke Mukaida; Yoshitaka Ota; Masayoshi Kamata; Shun Abe; Kunihiro Yoshioka
Journal:  Br J Radiol       Date:  2021-07-01       Impact factor: 3.039

7.  Subclinical coronary atherosclerosis identified by coronary computed tomographic angiography in asymptomatic morbidly obese patients.

Authors:  Martin S Lubanski; Thomas E Vanhecke; Kavitha M Chinnaiyan; Barry A Franklin; Peter A McCullough
Journal:  Heart Int       Date:  2010-12-31
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.