Literature DB >> 20920661

Effect of increasing body mass index on image quality and positive predictive value of 100-kV coronary computed tomographic angiography.

John S Ho1, Carolyn E Barlow, Dale B Reinhardt, Wendy A Wade, John J Cannaday.   

Abstract

Lowering the voltage to 100 kV is an effective method of reducing the radiation of coronary computed tomographic angiography (CTA). It is unknown, however, whether one could use a 100-kV CTA protocol with overweight or obese patients. We, thus, evaluated the effect of increasing body mass index (BMI) on various image quality parameters of 100-kV CTA. We also compared the radiation dose and diagnostic accuracy of 100-kV CTA with CTA performed at 120 kV. Three different protocols were studied: 120 kV, retrospective; 100 kV, retrospective; and 100 kV, prospective. The image quality and radiation doses were analyzed for each protocol. The effect of increasing BMI was also examined. A worsening of the noise, contrast-to-noise, and signal-to-noise ratios occurred with increasing BMI and decreasing voltages. The radiation exposure was significantly lowered with the 100-kV protocol and with prospective gating. Despite this image degradation, however, diagnostic images were obtained with 100-kV CTA, even in overweight and many obese subjects. Of the 66 subjects referred for invasive angiography because of the findings from CTA, 55 were correctly characterized (overall positive predictive value [PPV] of 83.3%). This PPV remained reasonable, irrespective of the voltage, until a BMI of 35 kg/m(2) was reached (PPV for 100-kV protocol 90.0% [27 of 30]; PPV for a BMI of ≥ 25 kg/m(2) but < 30 kg/m(2) 84.4% [27 of 32]; and PPV for a BMI of ≥ 30 kg/m(2) but < 35 kg/m(2) 81.8% [18 of 22]). In conclusion, 100-kV coronary CTA is feasible in overweight and many obese subjects.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20920661     DOI: 10.1016/j.amjcard.2010.06.032

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  6 in total

Review 1.  Methods for the analysis of ordinal response data in medical image quality assessment.

Authors:  Claire Keeble; Paul D Baxter; Amber J Gislason-Lee; Laura A Treadgold; Andrew G Davies
Journal:  Br J Radiol       Date:  2016-04-12       Impact factor: 3.039

2.  Coronary CT angiography in obese patients using 3(rd) generation dual-source CT: effect of body mass index on image quality.

Authors:  Stefanie Mangold; Julian L Wichmann; U Joseph Schoepf; Sheldon E Litwin; Christian Canstein; Akos Varga-Szemes; Giuseppe Muscogiuri; Stephen R Fuller; Andrew C Stubenrauch; Konstantin Nikolaou; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2015-12-28       Impact factor: 5.315

3.  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

4.  False-Negative Low Tube Voltage Coronary CT Angiography: High Intravascular Attenuation at Coronary CT Angiography Can Mask Calcified Plaques.

Authors:  Vinit Baliyan; Jan-Erik Scholtz; Hamed Kordbacheh; Sandeep Hedgire; Brian B Ghoshhajra
Journal:  Radiol Cardiothorac Imaging       Date:  2019-10-31

5.  Image quality and radiation dose of low tube voltage 3rd generation dual-source coronary CT angiography in obese patients: a phantom study.

Authors:  Felix G Meinel; Christian Canstein; U Joseph Schoepf; Martin Sedlmaier; Bernhard Schmidt; Brett S Harris; Thomas G Flohr; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2014-05-10       Impact factor: 5.315

6.  Effectiveness of automatic tube potential selection with tube current modulation in coronary CT angiography for obese patients: Comparison with a body mass index-based protocol using the propensity score matching method.

Authors:  Hong Seon Lee; Young Joo Suh; Kyunghwa Han; Jin Young Kim; Suyon Chang; Dong Jin Im; Yoo Jin Hong; Hye-Jeong Lee; Jin Hur; Young Jin Kim; Byoung Wook Choi
Journal:  PLoS One       Date:  2018-01-05       Impact factor: 3.240

  6 in total

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