Literature DB >> 23883237

Stenosis quantification of coronary arteries in coronary vessel phantoms with second-generation dual-source CT: influence of measurement parameters and limitations.

Michael Toepker1, Gordon Euller, Ewald Unger, Michael Weber, Daniela Kienzl, Christian J Herold, Helmut Ringl.   

Abstract

OBJECTIVE: The purpose of this study was to use second-generation dual-source CT to assess the influence of size, degree of stenosis, luminal contrast attenuation, and plaque geometry on stenosis quantification in a coronary artery phantom.
MATERIALS AND METHODS: Six vessel phantoms with three outer diameters (2, 3, and 4 mm), each containing three radiolucent plaques (72.2 HU) that simulated eccentric and concentric 43.8%, 75%, and 93.8% stenoses were made with a 3D printer system. These phantoms were filled with an iodine-saline solution mixture at luminal attenuations of 150, 200, 250, 300, and 350 HU and were attached to a cardiac motion simulator. Dual-source CT was performed with a standardized ECG-gated protocol (120 kV, 360 mAs per rotation) at a simulated heart rate of 70 beats/min. Two independent readers quantified the degree of stenosis using area-based measurements.
RESULTS: All measurements were highly reproducible (intraclass correlation, ≥ 0.791; p < 0.001). The mean measured degree of stenosis for a phantom with a 3-mm outer diameter at 250-HU luminal attenuation was 49.0% ± 10.0% for 43.8% stenosis, 71.7% ± 9.6% for 75.0% stenosis, and 85.4% ± 5.9% for 93.8% stenosis. With decreasing phantom size, measurement error increased for all degrees of stenosis. The absolute error increased for measurements at a low luminal attenuation of 150 HU (p < 0.001) and for low-grade stenoses compared with medium-and high-grade stenoses (p < 0.001).
CONCLUSION: The results are an overview of factors that influence stenosis quantification in simulated coronary arteries. Dual-source CT is highly reproducible and accurate for quantification of low-density stenosis in vessels with a diameter of 3 mm and attenuation of at least 200 HU for different degrees of stenosis and plaque geometry.

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Year:  2013        PMID: 23883237     DOI: 10.2214/AJR.12.9453

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  7 in total

1.  Relationship between diverse patient body size- and image acquisition-related factors, and quantitative and qualitative image quality in coronary computed tomography angiography: a multicenter observational study.

Authors:  Daisuke Utsunomiya; Ryoichi Tanaka; Kunihiro Yoshioka; Kazuo Awai; Teruhito Mochizuki; Naofumi Matsunaga; Tomoaki Ichikawa; Masayuki Kanematsu; Tonsok Kim; Yasuyuki Yamashita
Journal:  Jpn J Radiol       Date:  2016-06-07       Impact factor: 2.374

2.  Quantification of uncertainty in the assessment of coronary plaque in CCTA through a dynamic cardiac phantom and 3D-printed plaque model.

Authors:  Taylor Richards; Gregory M Sturgeon; Juan Carlos Ramirez-Giraldo; Geoffrey D Rubin; Lynne Hurwitz Koweek; William Paul Segars; Ehsan Samei
Journal:  J Med Imaging (Bellingham)       Date:  2018-01-17

3.  Fabrication and control of CT number through polymeric composites based on coronary plaque CT phantom applications.

Authors:  Carlton F O Hoy; Hani E Naguib; Narinder Paul
Journal:  J Med Imaging (Bellingham)       Date:  2016-02-18

4.  Influence of Heart Rate and Innovative Motion-Correction Algorithm on Coronary Artery Image Quality and Measurement Accuracy Using 256-Detector Row Computed Tomography Scanner: Phantom Study.

Authors:  Jeong Bin Park; Yeon Joo Jeong; Geewon Lee; Nam Kyung Lee; Jin You Kim; Ji Won Lee
Journal:  Korean J Radiol       Date:  2018-12-27       Impact factor: 3.500

5.  Automatic quantitative analysis of pulmonary vascular morphology in CT images.

Authors:  Zhiwei Zhai; Marius Staring; Irene Hernández Girón; Wouter J H Veldkamp; Lucia J Kroft; Maarten K Ninaber; Berend C Stoel
Journal:  Med Phys       Date:  2019-07-09       Impact factor: 4.071

6.  3D Printed Biomimetic Rabbit Airway Simulation Model for Nasotracheal Intubation Training.

Authors:  Gunpreet Oberoi; M C Eberspächer-Schweda; Sepideh Hatamikia; Markus Königshofer; Doris Baumgartner; Anne-Margarethe Kramer; Peter Schaffarich; Hermann Agis; Francesco Moscato; Ewald Unger
Journal:  Front Vet Sci       Date:  2020-11-27

Review 7.  Recent advances on the development of phantoms using 3D printing for imaging with CT, MRI, PET, SPECT, and ultrasound.

Authors:  Valeria Filippou; Charalampos Tsoumpas
Journal:  Med Phys       Date:  2018-06-22       Impact factor: 4.071

  7 in total

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