Evidence map›Paper›PMID 40719927›Full record

ArticleAbdominal radiology (New York)2026

Comparison of iodine quantification accuracy on prototype deep silicon photon-counting and energy-integrating detector CT.

Aria Salyapongse, Teva Shapiro, Zhye Yin, Scott Slavic, Giuseppe Toia, Meghan Lubner, Timothy Szczykutowicz

Abstract readComparative Study
In one paragraph

Article in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Aria SalyapongseUniversity of Wisconsin-Madison, Madison, USA. asalyapongse2@uwhealth.org.
Teva ShapiroUniversity of Wisconsin-Madison, Madison, USA.
Zhye YinGE HealthCare, Waukesha, USA.
Scott SlavicGE HealthCare, Waukesha, USA.
Giuseppe ToiaUniversity of Wisconsin-Madison, Madison, USA.
Meghan LubnerUniversity of Wisconsin-Madison, Madison, USA.
Timothy SzczykutowiczUniversity of Wisconsin-Madison, Madison, USA. tszczykutowicz@uwhealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis work examined the iodine quantification accuracy on a prototype deep silicon (dSi) photon-counting detector (PCD) computed tomography (CT) system compared to a rapid kV switching energy-integrating detector (EID) dual-energy (DE) CT system.

methodsIodine-containing rods (0-20 mg I/mL) in a phantom (Gammex MECT) were scanned with the prototype dSi PCD and DECT systems. Iodine (water) material density images were made with prototype and commercially available material decomposition algorithms, respectively. Circular regions of interest were placed over the center of the iodine rods to measure iodine accuracy in each slice, and slices were averaged. A correction based on the known issue of background material difference from true water was determined from the 0 mg I/mL (solid water) rod and the relative rod densities and was applied to the iodine quantification. Iodine percent error was defined as the difference between corrected iodine quantification and known iodine quantification, divided by the known iodine, multiplied by 100.

resultsThe corrected iodine quantification was within 0.15 mg I/mL for 0-20 mg I/mL iodine rods on the prototype PCD CT and 0.2 mg I/mL for the EID DECT. This translates to iodine percent errors of 0.4-4.3% on the PCD CT and 1.1-76% on the EID DECT for 0.2-20 mg I/mL rods.

conclusionIodine quantification on the prototype dSi PCD CT was within 4.3% for all tested iodine-containing rods, which is similar or better than the performance of the EID DECT system and previous work on the prototype dSi system.

Indexed as

Contrast MediaIodineTomography, X-Ray ComputedAlgorithmsEquipment DesignHumansPhantoms, ImagingPhotonsSiliconContrast MediaIodineSiliconComputed tomographyEnergy-integratingIodine quantificationPhoton-countingSpectral CT

Identifiers

PMID40719927
PMCPMC12971743

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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.