Cargando…
Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms
Purpose: 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/m(2)) underwent LDCT...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6497819/ https://www.ncbi.nlm.nih.gov/pubmed/31114274 http://dx.doi.org/10.2147/DMSO.S198641 |
_version_ | 1783415538722013184 |
---|---|
author | Chang, De-Hua Slebocki, Karin Khristenko, Ekaterina Herden, Jan Salem, Johannes Große Hokamp, Nils Mammadov, Kamal Hellmich, Martin Kabbasch, Christoph |
author_facet | Chang, De-Hua Slebocki, Karin Khristenko, Ekaterina Herden, Jan Salem, Johannes Große Hokamp, Nils Mammadov, Kamal Hellmich, Martin Kabbasch, Christoph |
author_sort | Chang, De-Hua |
collection | PubMed |
description | Purpose: 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/m(2)) 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/m(2). 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. |
format | Online Article Text |
id | pubmed-6497819 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-64978192019-05-21 Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms Chang, De-Hua Slebocki, Karin Khristenko, Ekaterina Herden, Jan Salem, Johannes Große Hokamp, Nils Mammadov, Kamal Hellmich, Martin Kabbasch, Christoph Diabetes Metab Syndr Obes Original Research Purpose: 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/m(2)) 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/m(2). 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. Dove 2019-04-05 /pmc/articles/PMC6497819/ /pubmed/31114274 http://dx.doi.org/10.2147/DMSO.S198641 Text en © 2019 Chang et al. http://creativecommons.org/licenses/by-nc/3.0/ This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Chang, De-Hua Slebocki, Karin Khristenko, Ekaterina Herden, Jan Salem, Johannes Große Hokamp, Nils Mammadov, Kamal Hellmich, Martin Kabbasch, Christoph Low-dose computed tomography of urolithiasis in obese patients: a feasibility study to evaluate image reconstruction algorithms |
title | 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_short | 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 |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6497819/ https://www.ncbi.nlm.nih.gov/pubmed/31114274 http://dx.doi.org/10.2147/DMSO.S198641 |
work_keys_str_mv | AT changdehua lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT slebockikarin lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT khristenkoekaterina lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT herdenjan lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT salemjohannes lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT großehokampnils lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT mammadovkamal lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT hellmichmartin lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms AT kabbaschchristoph lowdosecomputedtomographyofurolithiasisinobesepatientsafeasibilitystudytoevaluateimagereconstructionalgorithms |