Evidence map›Paper›PMID 42468490›Full record

ArticlePhysica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)2026

An integrated PET/CT simulation framework for virtual imaging trials and quantitative performance evaluation.

Katie M Olivas, Darrin W Byrd, Nicholas Felice, W Paul Segars, Paul E Kinahan, Ehsan Abadi, Ehsan Samei

Abstract read
In one paragraph

Article in Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

7 authors.

Katie M OlivasDepartment of Radiology, Duke University, Durham, United States. Electronic address: katie.olivas@duke.edu.
Darrin W ByrdDepartment of Radiology, University of Washington, Seattle, United States.
Nicholas FeliceDepartment of Radiology, Duke University, Durham, United States.
W Paul SegarsDepartment of Radiology, Duke University, Durham, United States.
Paul E KinahanDepartment of Radiology, University of Washington, Seattle, United States.
Ehsan AbadiDepartment of Radiology, Duke University, Durham, United States.
Ehsan SameiDepartment of Radiology, Duke University, Durham, United States.

Funding

TR&D Project 3: Virtual ReadersP41EB028744 · NIBIB · DUKE UNIVERSITY · PI Ehsan Samei · 2021 to 2026
$7.8M
Simulation Tools for Dynamic CTR01EB001838 · NIBIB · JOHNS HOPKINS UNIVERSITY · PI SAMEI, EHSAN, SEGARS, WILLIAM P · 2005 to 2023
$6.9M
Characterizing, optimizing, and harmonizing cancer detection with PET imagingR01CA258298 · NCI · UNIVERSITY OF WASHINGTON · PI Paul E. Kinahan · 2022 to 2026
$3.3M
NCI NIH HHS R01 CA258298NIBIB NIH HHS P41 EB028744NIBIB NIH HHS R01 EB001838
6 · The paper itself

Abstract

purposeThe purpose of this study was to demonstrate the use of integrated PET/CT virtual imaging trials (VITs) for evaluating PET/CT acquisition protocols and clinically relevant sources of PET quantification variability under controlled, repeatable conditions.

methodsAn integrated PET/CT simulation framework was developed by combining SimSET for PET and DukeSim for CT, enabling concordant multi-modality simulations from a single human model input, including CT-derived attenuation correction. Geometric concordance was verified using an in-silico PET/CT coregistration test. Validation employed a NEMA IEC body phantom by comparing simulated PET/CT images with clinical scans using standard uptake value (SUV) and contrast recovery coefficient (CRC) metrics. Application studies assessed respiratory phase mismatch between PET and CT acquisitions, the impact of CT protocol selection on attenuation correction for free-breathing PET, and CT dose-reduction strategies for attenuation correction.

resultsGeometric concordance was achieved with a maximum PET/CT centroid difference of 1.83 mm. Phantom validation demonstrated agreement between simulated and clinical PET quantification, with SUV measurements within 6% using CT-derived attenuation correction and within 12% using an ideal attenuation map. Application studies revealed that respiratory phase mismatch and CT protocol selection can produce clinically significant differences in PET quantification metrics. Dose-reduction studies showed minimal sensitivity of PET quantification to ultra-low-dose CT attenuation correction, with CRC deviations ≤ 0.23% across CT conditions for the same sphere size.

conclusionThe integrated PET/CT simulation framework enables virtual imaging trials for controlled and reproducible investigations of PET/CT protocols, supporting multi-modality imaging optimization and quantitative performance evaluation under clinically relevant conditions.

Indexed as

Positron Emission Tomography Computed TomographyComputer SimulationHumansImage Processing, Computer-AssistedPhantoms, ImagingRespirationComputed tomographyDiagnostic nuclear medicineMulti-modalityPET/CTPositron emissionProtocol optimizationVirtual imaging trials

Identifiers

PMID42468490
PMCPMC13595413

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.