Evaluation of Image Quality of Overweight and Obese Patients in CT Using High Data Rate Detectors

Background/Aim: To evaluate the impact of high data rate and sampling frequency detector technology compared to standard scan equipment on the image quality in abdominal computed tomography (CT) of overweight and obese patients. Patients and Methods: A total of 173 patients were retrospectively included in this study. Objective image quality in abdominal CT was evaluated using comparative analysis with new detector technology prior to market launch and standard CT equipment. Contrast noise ratio (CNR), image noise, volumetric computed tomography dose index (CTDIVol), and figures of merit (Q and Q1) were assessed for all patients. Results: Image quality was superior in the new detector technology for all parameters evaluated. The dose dependent parameters Q and Q1 showed a significant difference (p<0.001). Conclusion: A significant increase in objective image quality could be demonstrated using a new generation detector setup with increased frequency transfer in abdominal CT of overweight patients.

[1]  Ching-Ching Yang,et al.  Effect of Body Mass Index in Coronary CT Angiography Performed on a 256-Slice Multi-Detector CT Scanner , 2022, Diagnostics.

[2]  Seo Grace,et al.  Understanding radiographic decision-making when imaging obese patients: A Think-Aloud study. , 2021, Journal of medical radiation sciences.

[3]  A. Körner,et al.  Age- and weight group-specific weight gain patterns in children and adolescents during the 15 years before and during the COVID-19 pandemic , 2021, International Journal of Obesity.

[4]  G. Maltoni,et al.  Gender differences in weight gain during lockdown due to COVID-19 pandemic in adolescents with obesity , 2021, Nutrition, Metabolism and Cardiovascular Diseases.

[5]  G. Jurak,et al.  A COVID-19 Crisis in Child Physical Fitness: Creating a Barometric Tool of Public Health Engagement for the Republic of Slovenia , 2021, Frontiers in Public Health.

[6]  Sylvain Andresz,et al.  Synthesis of the European ALARA network 18th workshop ‘ALARA for decommissioning and site remediation’ , 2020, Journal of radiological protection : official journal of the Society for Radiological Protection.

[7]  W. Sensakovic,et al.  Bariatric CT Imaging: Challenges and Solutions. , 2016, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  Thomas Baum,et al.  Evaluation of an iterative model–based reconstruction algorithm for low-tube-voltage (80 kVp) computed tomography angiography , 2014, Journal of medical imaging.

[9]  G. Bongartz,et al.  Computed tomography for pulmonary embolism: assessment of a 1-year cohort and estimated cancer risk associated with diagnostic irradiation , 2013, Acta radiologica.

[10]  L. Carucci Imaging obese patients: problems and solutions , 2013, Abdominal Imaging.

[11]  Michael N. Ferrandino,et al.  Obesity triples the radiation dose of stone protocol computerized tomography. , 2013, The Journal of urology.

[12]  J. Mathews,et al.  Cancer risk in 680 000 people exposed to computed tomography scans in childhood or adolescence: data linkage study of 11 million Australians , 2013, BMJ.

[13]  Zhao-qi Zhang,et al.  Improved image quality in dual-energy abdominal CT: comparison of iterative reconstruction in image space and filtered back projection reconstruction. , 2012, AJR. American journal of roentgenology.

[14]  D. Miglioretti,et al.  CTDIvol, DLP, and effective dose are excellent measures for use in CT quality improvement. , 2011, Radiology.

[15]  S. Strocchi,et al.  Computed tomography quality indexes: evaluation experience , 2009, Medical Imaging.

[16]  Carlos A Camargo,et al.  The Challenge of CT and MRI Imaging of Obese Individuals Who Present to the Emergency Department: A National Survey , 2008, Obesity.

[17]  Thomas L Toth,et al.  Effect of patient size on radiation dose for abdominal MDCT with automatic tube current modulation: phantom study. , 2008, AJR. American journal of roentgenology.

[18]  Vittoria Colli,et al.  Dedicated dental volumetric and total body multislice computed tomography: a comparison of image quality and radiation dose , 2007, SPIE Medical Imaging.

[19]  Raul N Uppot,et al.  Impact of obesity on radiology. , 2007, Radiologic clinics of North America.

[20]  Raul N Uppot,et al.  Effect of obesity on image quality: fifteen-year longitudinal study for evaluation of dictated radiology reports. , 2006, Radiology.

[21]  John R. Rodman,et al.  Reports , 1919, Restoration & Management Notes.

[22]  R. Kubik-Huch,et al.  Assessment of Image Quality in Chest CT With Precision Matrix and Increased Framing Rate Using Single Source CT: A Phantom Study , 2023, In Vivo.

[23]  April Reynolds,et al.  Obesity and medical imaging challenges. , 2011, Radiologic technology.

[24]  Who Consultation on Obesity Obesity: preventing and managing the global epidemic. Report of a WHO consultation. , 2000, World Health Organization technical report series.