Literature DB >> 23352772

Patient-specific predictors of image noise in coronary CT angiography.

Annika Schuhbaeck1, Marcella Schaefer, Mohamed Marwan, Soeren Gauss, Gerd Muschiol, Michael Lell, Tobias Pflederer, Dieter Ropers, Johannes Rixe, Christian Hamm, Werner G Daniel, Stephan Achenbach.   

Abstract

BACKGROUND: Coronary computed tomography (CT) angiography can be associated with high radiation exposure. Reduction of tube voltage from 120 kV to 100 kV can reduce the dose by up to 40%, but it also increases image noise.
OBJECTIVE: We aimed to find a patient-specific predictor of image noise to determine the use of reduced tube voltage.
METHODS: Contrast-enhanced coronary dual-source CT angiography data sets [prospectively electrocardiogram (ECG)-triggered axial and retrospectively ECG-gated spiral acquisition, rotation of 280 milliseconds, 2 × 128 × 0.6 mm collimation, 100 kV, 320 mAs] of 165 patients (age, 54 ± 13 years) for the detection of coronary artery stenoses were analyzed. Image noise was measured in the aortic root. Influence of body weight, height, body mass index, thoracic cross sectional area, as well as the area of the thoracic solid tissue were analyzed.
RESULTS: Mean image noise in the aorta was 35.1 ± 8.9 HU. Mean dose length product was 207 ± 184 cm · cGy with an average effective dose of 2.9 ± 2.6 mSv. The patient cohort was divided into tertiles according to image noise. Numerous parameters, including BMI and body weight, were significantly different between the highest and lowest tertiles. In multivariable regression analysis, the area of the thoracic solid tissue was the only independent predictor of image noise (P < 0.0001).
CONCLUSIONS: The area of the thoracic solid tissue at the level of the aortic root predicts image noise and may hence be used for the decision to reduce tube voltage from 120 kV to 100 kV.
Copyright © 2013 Society of Cardiovascular Computed Tomography. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 23352772     DOI: 10.1016/j.jcct.2012.10.011

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


  6 in total

1.  Pilot study of the multicentre DISCHARGE Trial: image quality and protocol adherence results of computed tomography and invasive coronary angiography.

Authors:  Gianluca De Rubeis; Adriane E Napp; Peter Schlattmann; Jacob Geleijns; Michael Laule; Henryk Dreger; Klaus Kofoed; Mathias Sørgaard; Thomas Engstrøm; Hans Henrik Tilsted; Alberto Boi; Michele Porcu; Stefano Cossa; José F Rodríguez-Palomares; Filipa Xavier Valente; Albert Roque; Gudrun Feuchtner; Fabian Plank; Cyril Štěchovský; Theodor Adla; Stephen Schroeder; Thomas Zelesny; Matthias Gutberlet; Michael Woinke; Mihály Károlyi; Júlia Karády; Patrick Donnelly; Peter Ball; Jonathan Dodd; Mark Hensey; Massimo Mancone; Andrea Ceccacci; Marina Berzina; Ligita Zvaigzne; Gintare Sakalyte; Algidas Basevičius; Małgorzata Ilnicka-Suckiel; Donata Kuśmierz; Rita Faria; Vasco Gama-Ribeiro; Imre Benedek; Teodora Benedek; Filip Adjić; Milenko Čanković; Colin Berry; Christian Delles; Erica Thwaite; Gershan Davis; Juhani Knuuti; Mikko Pietilä; Cezary Kepka; Mariusz Kruk; Radosav Vidakovic; Aleksandar N Neskovic; Iñigo Lecumberri; Ignacio Diez Gonzales; Balazs Ruzsics; Mike Fisher; Marc Dewey; Marco Francone
Journal:  Eur Radiol       Date:  2019-12-16       Impact factor: 5.315

2.  Fully automated image quality evaluation on patient CT: Multi-vendor and multi-reconstruction study.

Authors:  Minsoo Chun; Jin Hwa Choi; Sihwan Kim; Chulkyun Ahn; Jong Hyo Kim
Journal:  PLoS One       Date:  2022-07-20       Impact factor: 3.752

3.  Predicting the image noise level of prospective ECG-triggered coronary computed tomography angiography: quantitative measurement of thoracic component versus body mass index.

Authors:  Hyeongmin Kim; Chul Hwan Park; Kyung Hwa Han; Tae Hoon Kim
Journal:  Int J Cardiovasc Imaging       Date:  2015-10-27       Impact factor: 2.357

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.  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.  Impact of ROI Size on the Accuracy of Noise Measurement in CT on Computational and ACR Phantoms.

Authors:  Choirul Anam; Pandji Triadyaksa; Ariij Naufal; Zaenal Arifin; Zaenul Muhlisin; Evi Setiawati; Wahyu Setia Budi
Journal:  J Biomed Phys Eng       Date:  2022-08-01
  6 in total

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