Evidence map›Paper›PMID 41593708›Full record

ArticleBMC biomedical engineering2026

Performance of virtual unenhanced images on a prototype silicon photon counting detector CT: preliminary clinical results.

Aria M Salyapongse, Timothy P Szczykutowicz, Meghan G Lubner, Zhye Yin, Ming Yan, Meghan Yue, Krista McClure, Giuseppe V Toia

Abstract read
In one paragraph

Article in BMC biomedical engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Aria M SalyapongseDepartments of Radiology and Medical Physics, University of Wisconsin Madison School of Medicine and Public Health, 600 Highland Ave, Madison, WI, 53792, USA.
Timothy P SzczykutowiczDepartments of Radiology, Medical Physics, and Biomedical Engineering, University of Wisconsin - Madison, Madison, WI, USA.
Meghan G LubnerDepartment of Radiology, University of Wisconsin - Madison, Madison, WI, USA.
Zhye YinGE HealthCare, Waukesha, WI, USA.
Ming YanGE HealthCare, Waukesha, WI, USA.
Meghan YueGE HealthCare, Waukesha, WI, USA.
Krista McClureGE HealthCare, Waukesha, WI, USA.
Giuseppe V ToiaDepartments of Radiology and Medical Physics, University of Wisconsin Madison School of Medicine and Public Health, 600 Highland Ave, Madison, WI, 53792, USA. gtoia@uwhealth.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo compare virtual unenhanced images (VUE) from a prototype deep silicon photon-counting detector computed tomography (PCD CT) system with true unenhanced images (TUE).

methodsFive subjects including various anatomic structures were scanned on a prototype deep silicon PCD CT at 120 kV across different phases with mA adjusted for anatomy and subject size. Five thin and three thick slices were selected from each image set at two locations to provide a variety of anatomy, including vessels, soft tissue, and adipose. Regions of interest were drawn over the anatomy on both TUE and VUE images. VUE error was defined as VUE CT number in Hounsfield units (HU) minus the TUE CT number.

resultsFor all tested structures, 82% had a VUE error less than 10 HU, and 62% had a VUE error less than 5 HU. Vessels demonstrated VUE errors less than 10 HU and less than 5 HU for 70.4% and 40.7% of tested structures, respectively. Soft tissue had VUE errors less than 10 HU and 5 HU in 96.9% and 84.4%, and adipose had VUE errors less than 10 HU and 5 HU in 75% and 58.4% of tested structures.

conclusionWith the prototype scanner and VUE algorithm, the majority of tested anatomic structures demonstrated VUE error less than 10 HU. For all but vessels, the majority of structures demonstrated VUE error less than 5 HU. With such small differences in HU between VUE and TUE images, further work may support removing TUEs from scanning protocols.

Indexed as

Energy-integrating detector CTIodine contrastPhoton-counting detector CTVirtual unenhanced images

Identifiers

PMID41593708
PMCPMC12918634

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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.