Evidence map›Paper›PMID 39033471›Full record

ArticleEuropean radiology2025

Misinterpretations about CT numbers, material decomposition, and elemental quantification.

Aria M Salyapongse, Timothy P Szczykutowicz

Abstract read
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Article in European radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Aria M SalyapongseDepartment of Medical Physics, University of Wisconsin Madison, Madison, WI, USA.
Timothy P SzczykutowiczDepartment of Medical Physics, University of Wisconsin Madison, Madison, WI, USA. tszczykutowicz@uwhealth.org.ORCID http://orcid.org/0000-0002-3008-6568

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantitative CT imaging, particularly iodine and calcium quantification, is an important CT-based biomarker. PURPOSE: This study quantifies sources of errors in quantitative CT imaging in both single-energy and spectral CT. MATERIALS AND

methodsThis work examines the theoretical relationship between CT numbers, linear attenuation coefficient, and material quantification. We derive four understandings: (1) CT numbers are not proportional with element mass in vivo, (2) CT numbers are proportional with element mass only when contained in a voxel of pure water, (3) iodine-water material decomposition is never accurate in vivo, and (4) for error-free material decomposition a voxel must only consist of the basis decomposition vectors. Misinterpretation-based errors are calculated using the National Institute of Standards and Technology (NIST) XCOM database for: tissue chemical compositions, clinical concentrations of hydroxyapatite (HAP), and iodine. Quantification errors are also demonstrated experimentally using phantoms.

resultsIn single-energy CT, misinterpretation-induced errors for HAP density in adipose, muscle, lung, soft tissue, and blood ranged from 0-132%, i.e., a mass error of 0-749 mg/cm

conclusionOur work demonstrates material quantification is fundamentally limited when measured in vivo due to measurement conditions differing from assumed and the errors are at or above detection limits for bone mineral density (BMD) and spectral iodine quantification. To define CT-derived biomarkers, the errors we demonstrate should either be avoided or built into uncertainty bounds. CLINICAL RELEVANCE STATEMENT: Improving error bounds in quantitative CT biomarkers, specifically in iodine and BMD quantification, could lead to improvements in clinical care aspects based on quantitative CT. KEY POINTS: CT numbers are only proportional with element mass only when contained in a voxel of pure water, therefore iodine-water material decomposition is never accurate in vivo. Misinterpretation-induced errors ranged from 0-132% for HAP density and < 0.1-33% in spectral CT with iodine. For error-free material decomposition, a voxel must only consist of the basis decomposition vectors.

Indexed as

Diagnostic ErrorsTomography, X-Ray ComputedCalciumDurapatiteHumansIodinePhantoms, ImagingCalciumDurapatiteIodineBone mineral densityCalcium quantificationIodinated contrastQuantification errorQuantitative computed tomography

Identifiers

PMID39033471
PMCPMC11782396

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.