Literature DB >> 20488638

Individualized tube current selection for 64-row cardiac CTA based on analysis of the scout view.

Jianhua Gao1, Jianying Li, James Earls, Tao Li, Quisheng Wang, Ruping Dai.   

Abstract

PURPOSE: To obtain consistent CCTA image quality and patient dose optimization with an individualized tube current selection method based on analysis of CT scout scans. METHODS AND MATERIALS: The study received a waiver of informed consent from the institutional review board. Initially 100 patients (Group A) underwent CCTA with a fixed mA. The scout view pixel value and CCTA image noise were measured. Their correlation was studied to establish a formula to determine the required mA for obtaining a CT exam with a specific image noise. One hundred patients (Group B) were then scanned with the formula-determined mA. CCTA image quality, image noise and effective dose from the two groups were statistically analyzed. CT findings for 32 Group B patients were compared with the conventional coronary angiography.
RESULTS: An average CCTA image noise of 27.6 HU was obtained (target 27 HU) using the formula with more uniform image noise in Group B (standard deviation 2.4 HU) than in Group A (4.1 HU). There was no statistical difference between image quality scores for the two groups. The effective dose for Group B (7.8 mSv) was 30% lower than for Group A (11.2 mSv) (p<0.01). CCTA sensitivity, specificity, positive predictive value, negative predictive value, and stenosis detection accuracy were 94.9%, 92.1%, 88.9%, 96.5% and 93.2%, respectively, for stenosis greater than 50%.
CONCLUSION: CCTA mA selection based upon the image characteristics of the CT scout view provides an individualized protocol that generates consistent image quality and helps to reduce overall patient dose.
Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20488638     DOI: 10.1016/j.ejrad.2010.04.026

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


  6 in total

Review 1.  Low tube voltage prospectively ECG-triggered coronary CT angiography: a systematic review of image quality and radiation dose.

Authors:  Sock Keow Tan; Chai Hong Yeong; Raja Rizal Azman Raja Aman; Kwan Hoong Ng; Yang Faridah Abdul Aziz; Kok Han Chee; Zhonghua Sun
Journal:  Br J Radiol       Date:  2018-03-29       Impact factor: 3.039

2.  Achieving consistent image quality with dose optimization in 64-row multidetector computed tomography prospective ECG gated coronary calcium scoring.

Authors:  Zilai Pan; Lifang Pang; Jianying Li; Huan Zhang; Wenjie Yang; Bei Ding; Weimin Chai; Kemin Chen; Weiwu Yao
Journal:  Int J Cardiovasc Imaging       Date:  2010-09-18       Impact factor: 2.357

3.  Iterative reconstruction and individualized automatic tube current selection reduce radiation dose while maintaining image quality in 320-multidetector computed tomography coronary angiography.

Authors:  M C Williams; N W Weir; S Mirsadraee; F Millar; A Baird; F Minns; N G Uren; G McKillop; R K Bull; E J R van Beek; J H Reid; D E Newby
Journal:  Clin Radiol       Date:  2013-07-06       Impact factor: 2.350

4.  Subcutaneous tissue thickness is an independent predictor of image noise in cardiac CT.

Authors:  Henrique Lane Staniak; Rodolfo Sharovsky; Alexandre Costa Pereira; Cláudio Campi de Castro; Isabela M Benseñor; Paulo A Lotufo; Márcio Sommer Bittencourt
Journal:  Arq Bras Cardiol       Date:  2013-11-01       Impact factor: 2.000

5.  Radiation dose reduction in thoracic and abdomen-pelvic CT using tube current modulation: a phantom study.

Authors:  Akmal Sabarudin; Zakira Mustafa; Khadijah Mohd Nassir; Hamzaini Abdul Hamid; Zhonghua Sun
Journal:  J Appl Clin Med Phys       Date:  2014-01-08       Impact factor: 2.102

6.  Fat volume measurements as a predictor of image noise in coronary computed tomography angiography.

Authors:  Rami M Abazid; Osama A Smettei; Ahmad Almeman; Sawsan Sayed; Hanaa Alsaqqa; Salma M Abdelmageed; Fahad J Alharbi; Abdullah M Alhabib; Mouaz H Al-Mallah
Journal:  J Saudi Heart Assoc       Date:  2018-11-17
  6 in total

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