ArticleScientific reports2021
Manual kidney stone size measurements in computed tomography are most accurate using multiplanar image reformatations and bone window settings.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 19 citations in OpenAlex.
- Slice thickness matters: CT-based evaluation of stone-free status with grade classification after RIRS.World journal of urology · 2026Article
- Soft-tissue and half-value windows outperform bone window in ureteral stone size measurements in non-enhanced computed tomography.Acta radiologica (Stockholm, Sweden : 1987) · 2026Article
- Radiomics-driven spectral profiling of six kidney stone types with monoenergetic CT reconstructions in photon-counting CT.European radiology · 2025Article
- Comparison of actual and automated CT measurements of urinary stone size: a phantom study.Urolithiasis · 2025Article
- Clinical Reproducibility of the Stone Volume Measurement: A "Kidney Stone Calculator" Study.Journal of clinical medicine · 2023Article
- Deep-Learning-Based Image Denoising in Imaging of Urolithiasis: Assessment of Image Quality and Comparison to State-of-the-Art Iterative Reconstructions.Diagnostics (Basel, Switzerland) · 2023Article
- Detection and size measurements of kidney stones on virtual non-contrast reconstructions derived from dual-layer computed tomography in an ex vivo phantom setup.European radiology · 2023Article
- Clinical Low-Dose Photon-Counting CT for the Detection of Urolithiasis: Radiation Dose Reduction Is Possible without Compromising Image Quality.Diagnostics (Basel, Switzerland) · 2023Article
- Clinical Low Dose Photon Counting CT for the Detection of Urolithiasis: Evaluation of Image Quality and Radiation Dose.Tomography (Ann Arbor, Mich.) · 2022Article
- Computational Analysis of Influencing Factors and Multiple Scoring Systems of Stone Clearance Rate after Flexible Ureteroscopic Lithotripsy.Computational intelligence and neuroscience · 2022Article
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Authors and funding
10 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computed tomography in suspected urolithiasis provides information about the presence, location and size of stones. Particularly stone size is a key parameter in treatment decision; however, data on impact of reformatation and measurement strategies is sparse. This study aimed to investigate the influence of different image reformatations, slice thicknesses and window settings on stone size measurements. Reference stone sizes of 47 kidney stones representative for clinically encountered compositions were measured manually using a digital caliper (Man-M). Afterwards stones were placed in a 3D-printed, semi-anthropomorphic phantom, and scanned using a low dose protocol (CTDI
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