Universität zu Köln

Reimer, Robert Peter, Salem, Johannes, Merkt, Martin, Sonnabend, Kristina, Lennartz, Simon, Zopfs, David, Heidenreich, Axel, Maintz, David, Haneder, Stefan and Hokamp, Nils Grosse (2020). Size and volume of kidney stones in computed tomography: Influence of acquisition techniques and image reconstruction parameters. Eur. J. Radiol., 132. CLARE: ELSEVIER IRELAND LTD. ISSN 1872-7727

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Abstract

Purpose: Computed tomography (CT) is routinely used to assess suspected urolithiasis. Information obtained from CT include presence, location and size of stones, with the latter frequently determining treatment strategy. While there is consensus regarding measurements procedures of kidney stones, influence of radiation dose and reconstruction techniques on stone measurements are unknown. The purpose of this study was to systematically evaluate the influence of these technical determinants on kidney stone size measurements. Method: 47 kidney stones of different composition were scanned using a 64-row-multi-detector CT in a 3D-printed, semi-anthropomorphic phantom. Reference stone sizes were measured manually with a digital caliper (Man-M). Stones were imaged with 2 and 10 mGy CTDI. Images were reconstructed using filtered-backprojection, hybrid-iterative and model-based-iterative reconstruction algorithms (FBP, HIR, MBIR) in combination with different kernels and denoising levels. All stones underwent semi-automatic, threshold-based segmentation for computation of maximum diameter and volume. Statistics were conducted using ANOVA +/- correction for multiple comparisons. Results: Overall stone size as compared to manual measurements was overestimated in CT (10.0 +/- 3.1 vs. 8.8 +/- 2.9 mm, p < 0.05) yet showing a good correlation (R-2 = 0.66). Radiation dose and denoising levels did not significantly influence measurements (p > 0.05). MBIR and sharp kernels showed closest agreement with Man-M (9.3 +/- 3.1 vs. 8.8 +/- 2.9 mm, p < 0.05). Differences within single stones were as high as 40 % (e.g. Man-M: 5.9 mm, CT: 7.3-12.0 mm). Conclusions: CT-based measurements of kidney stone size appear unaffected by radiation dose and denoising technique, whereas reconstruction algorithms and kernels demonstrate a relevant impact on size measurements. Smallest differences were found using MBIR with a sharp kernel.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Reimer, Robert Peter UNSPECIFIED UNSPECIFIED UNSPECIFIED Salem, Johannes UNSPECIFIED UNSPECIFIED UNSPECIFIED Merkt, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED Sonnabend, Kristina UNSPECIFIED UNSPECIFIED UNSPECIFIED Lennartz, Simon UNSPECIFIED UNSPECIFIED UNSPECIFIED Zopfs, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Heidenreich, Axel UNSPECIFIED UNSPECIFIED UNSPECIFIED Maintz, David UNSPECIFIED UNSPECIFIED UNSPECIFIED Haneder, Stefan UNSPECIFIED UNSPECIFIED UNSPECIFIED Hokamp, Nils Grosse UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-312880
DOI:	10.1016/j.ejrad.2020.109267
Journal or Publication Title:	Eur. J. Radiol.
Volume:	132
Date:	2020
Publisher:	ELSEVIER IRELAND LTD
Place of Publication:	CLARE
ISSN:	1872-7727
Language:	English
Faculty:	Unspecified
Divisions:	Unspecified
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language STATISTICAL ITERATIVE RECONSTRUCTION; CT; MODEL; UROLITHIASIS; REDUCTION; DIAGNOSIS Multiple languages Radiology, Nuclear Medicine & Medical Imaging Multiple languages
URI:	http://kups.ub.uni-koeln.de/id/eprint/31288