Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms

De-Hua Chang,1 Karin Slebocki,2 Ekaterina Khristenko,1 Jan Herden,3 Johannes Salem,3 Nils Große Hokamp,2 Kamal Mammadov,2 Martin Hellmich,4 Christoph Kabbasch21Department of Diagnostic and Interventional Radiology, University Medical Center Heidelberg, Heidelberg, Germany; 2Department of D...

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Autores principales:	Chang DH, Slebocki K, Khristenko E, Herden J, Salem J, Große Hokamp N, Mammadov K, Hellmich M, Kabbasch C
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2019
Materias:	Low-dose computed tomography Model-based iterative reconstruction Statistical iterative Urolithiasis Obesity Specialties of internal medicine RC581-951
Acceso en línea:	https://doaj.org/article/5e366f8d11ed4dd78632abb7e3471c0b
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spelling	oai:doaj.org-article:5e366f8d11ed4dd78632abb7e3471c0b2021-12-02T03:51:45ZLow-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms1178-7007https://doaj.org/article/5e366f8d11ed4dd78632abb7e3471c0b2019-04-01T00:00:00Zhttps://www.dovepress.com/low-dose-computed-tomography-of-urolithiasis-in-obese-patients-a-feasi-peer-reviewed-article-DMSOhttps://doaj.org/toc/1178-7007De-Hua Chang,1 Karin Slebocki,2 Ekaterina Khristenko,1 Jan Herden,3 Johannes Salem,3 Nils Große Hokamp,2 Kamal Mammadov,2 Martin Hellmich,4 Christoph Kabbasch21Department of Diagnostic and Interventional Radiology, University Medical Center Heidelberg, Heidelberg, Germany; 2Department of Diagnostic and Interventional Radiology, University Hospital of Cologne, Cologne, Germany; 3Department of Urology, University Hospital of Cologne, Cologne, Germany; 4Institute of Medical Statistics and Computational Biology (IMSB), Medical Faculty, University of Cologne, Cologne, GermanyPurpose: Retrospective evaluation and comparison of image quality generated by low-dose computed tomography (LDCT) from obese patients with urolithiasis using alternative reconstruction algorithms.Materials and methods: Twenty-five obese patients (body mass index [BMI]>25 kg/m2,) underwent LDCT scans for suspected urolithiasis. The scans were recompiled using filtered-back projection (FBP), statistical iterative reconstruction (iDose) and iterative model-based reconstruction (IMR). Dose-length product (DLP) and patient details were obtained from the CT dose report and clinical charts, respectively. Objective image noise was assessed by measuring the SD of Hounsfield units (HUs) in defined locations. Additionally, subjective image evaluation was independently performed by two radiologists using a 3-point Likert scale. The inter-reviewer agreement of image quality was calculated.Results: Ureteral concretions were observed in all CT scans, two of which revealed bilateral stones. The assessed patients’ mean BMI was 29.29±3.74 kg/m,2 and the DLP of the CT scans was 100.04±10.00 mGy*cm. All scans were rated diagnostic with the iDose and iterative model-based reconstructions, whereas 41% of the scans performed with FBP reconstruction were nondiagnostic. With respect to image quality, IMR was superior to iDose and FBP, both in the objective (P<0.001) and overall subjective (P≤0.008) evaluation of the respective data sets. The inter-reviewer agreement for overall image quality was “almost perfect” for IMR, “substantial” for iDose and “moderate” for FBP (κ values of 1.0, 0.6 and 0.46, respectively).Conclusion: Using iterative image reconstruction algorithms, LDCT of urolithiasis is feasible in overweight patients with a BMI between 25 and 35 kg/m2,. Due to higher image quality, IMR is the preferred algorithm for scan reconstruction as it may help to avoid repeated examinations due to initial nondiagnostic scans.Keywords: low-dose computed tomography, model-based iterative reconstruction, statistical iterative, urolithiasis, obesityChang DHSlebocki KKhristenko EHerden JSalem JGroße Hokamp NMammadov KHellmich MKabbasch CDove Medical PressarticleLow-dose computed tomographyModel-based iterative reconstructionStatistical iterativeUrolithiasisObesitySpecialties of internal medicineRC581-951ENDiabetes, Metabolic Syndrome and Obesity: Targets and Therapy, Vol Volume 12, Pp 439-445 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Low-dose computed tomography Model-based iterative reconstruction Statistical iterative Urolithiasis Obesity Specialties of internal medicine RC581-951
spellingShingle	Low-dose computed tomography Model-based iterative reconstruction Statistical iterative Urolithiasis Obesity Specialties of internal medicine RC581-951 Chang DH Slebocki K Khristenko E Herden J Salem J Große Hokamp N Mammadov K Hellmich M Kabbasch C Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
description	De-Hua Chang,1 Karin Slebocki,2 Ekaterina Khristenko,1 Jan Herden,3 Johannes Salem,3 Nils Große Hokamp,2 Kamal Mammadov,2 Martin Hellmich,4 Christoph Kabbasch21Department of Diagnostic and Interventional Radiology, University Medical Center Heidelberg, Heidelberg, Germany; 2Department of Diagnostic and Interventional Radiology, University Hospital of Cologne, Cologne, Germany; 3Department of Urology, University Hospital of Cologne, Cologne, Germany; 4Institute of Medical Statistics and Computational Biology (IMSB), Medical Faculty, University of Cologne, Cologne, GermanyPurpose: Retrospective evaluation and comparison of image quality generated by low-dose computed tomography (LDCT) from obese patients with urolithiasis using alternative reconstruction algorithms.Materials and methods: Twenty-five obese patients (body mass index [BMI]>25 kg/m2,) underwent LDCT scans for suspected urolithiasis. The scans were recompiled using filtered-back projection (FBP), statistical iterative reconstruction (iDose) and iterative model-based reconstruction (IMR). Dose-length product (DLP) and patient details were obtained from the CT dose report and clinical charts, respectively. Objective image noise was assessed by measuring the SD of Hounsfield units (HUs) in defined locations. Additionally, subjective image evaluation was independently performed by two radiologists using a 3-point Likert scale. The inter-reviewer agreement of image quality was calculated.Results: Ureteral concretions were observed in all CT scans, two of which revealed bilateral stones. The assessed patients’ mean BMI was 29.29±3.74 kg/m,2 and the DLP of the CT scans was 100.04±10.00 mGy*cm. All scans were rated diagnostic with the iDose and iterative model-based reconstructions, whereas 41% of the scans performed with FBP reconstruction were nondiagnostic. With respect to image quality, IMR was superior to iDose and FBP, both in the objective (P<0.001) and overall subjective (P≤0.008) evaluation of the respective data sets. The inter-reviewer agreement for overall image quality was “almost perfect” for IMR, “substantial” for iDose and “moderate” for FBP (κ values of 1.0, 0.6 and 0.46, respectively).Conclusion: Using iterative image reconstruction algorithms, LDCT of urolithiasis is feasible in overweight patients with a BMI between 25 and 35 kg/m2,. Due to higher image quality, IMR is the preferred algorithm for scan reconstruction as it may help to avoid repeated examinations due to initial nondiagnostic scans.Keywords: low-dose computed tomography, model-based iterative reconstruction, statistical iterative, urolithiasis, obesity
format	article
author	Chang DH Slebocki K Khristenko E Herden J Salem J Große Hokamp N Mammadov K Hellmich M Kabbasch C
author_facet	Chang DH Slebocki K Khristenko E Herden J Salem J Große Hokamp N Mammadov K Hellmich M Kabbasch C
author_sort	Chang DH
title	Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
title_short	Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
title_full	Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
title_fullStr	Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
title_full_unstemmed	Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
title_sort	low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
publisher	Dove Medical Press
publishDate	2019
url	https://doaj.org/article/5e366f8d11ed4dd78632abb7e3471c0b
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_version_	1718401602292809728

Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms

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