Literature DB >> 27426980

Modified Subtraction Coronary CT Angiography Method for Patients Unable to Perform Long Breath-Holds: A Preliminary Study.

Kunihiro Yoshioka1, Ryoichi Tanaka2, Kyouhei Nagata3, Tadashi Sasaki4, Kouta Takeda4, Takanori Ueda4, Tsuyoshi Sugawara4, Yuta Ueyama4, Takuya Chiba4, Akinobu Sasaki4, Kei Kikuchi4.   

Abstract

RATIONALE AND
OBJECTIVES: Severe calcifications of the coronary arteries are still a major challenge in coronary computed tomography (CT) angiography (CCTA). Subtraction CCTA using a 320-detector row CT scanner has recently been introduced for patients with severe calcifications. However, the conventional subtraction CCTA method requires a long breath-holding time of approximately 20-40 seconds. This is a major problem in clinical practice because many patients may not be able to perform such a long breath-hold. We explored a modified subtraction CCTA method with a short breath-holding time to overcome this problem.
MATERIALS AND METHODS: This study was approved by our institutional review board, and all patients gave written informed consent. A total of 12 patients with a coronary calcium score of >400 were enrolled in this study. All patients were unable to hold their breath for more than 20 seconds. Modified subtraction CCTA was performed using the bolus-tracking method. The acquisition protocol was adjusted so that the mask scan was acquired 10 seconds after the postcontrast scan during a single breath-hold. The subtraction image was obtained by subtracting the mask image data from the postcontrast image data. The breath-holding times were recorded. Enhancement of the coronary arteries in the subtraction images was assessed. Subjective image quality was evaluated in a total of 32 segments using a 4-point scale.
RESULTS: The mean breath-holding time was 12.8 ± 0.8 seconds (range, 12-14 seconds). The average CT number in the coronary arteries was 288.6 ± 80.5 Hounsfield units (HU) in the subtraction images. Average image quality was significantly increased from 2.1 ± 0.9 with conventional CCTA to 3.1 ± 0.7 with subtraction CCTA (P < 0.001). With subtraction CCTA, the number of non-diagnostic segments was significantly reduced from 53% to 19% (P = 0.001).
CONCLUSIONS: This preliminary study has shown that our modified subtraction CCTA method allows the breath-holding time to be shortened to <15 seconds. This may substantially improve the success rate of subtraction CCTA by reducing artifacts and allowing this technique to be applied to patients who are unable to perform a long breath-hold.
Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computed tomography; coronary CT angiography; coronary artery calcification; subtraction

Mesh:

Year:  2016        PMID: 27426980     DOI: 10.1016/j.acra.2016.04.012

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  3 in total

1.  Diagnostic accuracy of a modified subtraction coronary CT angiography method with short breath-holding time: a feasibility study.

Authors:  Kunihiro Yoshioka; Ryoichi Tanaka; Hidenobu Takagi; Kyouhei Nagata; Takuya Chiba; Kouta Takeda; Takanori Ueda; Tsuyoshi Sugawara; Akinobu Sasaki; Yuta Ueyama; Kei Kikuchi; Tadashi Sasaki
Journal:  Br J Radiol       Date:  2016-08-15       Impact factor: 3.039

2.  Subtraction CT angiography improves evaluation of significant coronary artery disease in patients with severe calcifications or stents-the C-Sub 320 multicenter trial.

Authors:  Andreas Fuchs; J Tobias Kühl; Marcus Y Chen; David Viladés Medel; Xavier Alomar; Sujata M Shanbhag; Steffen Helqvist; Klaus F Kofoed
Journal:  Eur Radiol       Date:  2018-04-25       Impact factor: 5.315

3.  The usefulness of subtraction coronary computed tomography angiography for in-stent restenosis assessment of patients with CoCr stent using 320-row area detector CT.

Authors:  Jian Li; Man-Tao Guo; Xiao Yang; Fang Gao; Na Li; Ming-Gang Huang
Journal:  Medicine (Baltimore)       Date:  2021-12-23       Impact factor: 1.817

  3 in total

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