Evidence map›Paper›PMID 39955528›Full record

ArticleBiomedical engineering online2025

Calculation of recovery coefficients for partial volume effect correction in PET/CT imaging using a customized anthropomorphic body phantom.

Gunes Yavuz, Bilal Kovan, Turkay Toklu, Tevfik F Çermik, Cengizhan Öztürk

Abstract read
In one paragraph

Article in Biomedical engineering online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Gunes YavuzInstitute of Biomedical Engineering, Boğaziçi University, Kandilli Campus, Feza Gürsey Bld., 34685, Çengelköy-Istanbul, Turkey. gunesyavuz75@gmail.com.ORCID http://orcid.org/0000-0002-6745-1741
Bilal KovanIstanbul Faculty of Medicine, Department of Nuclear Medicine, Istanbul University, Turgut Özal Millet Cad., No:118U, 34104, Fatih-Istanbul, Türkiye.
Turkay TokluDepartment of Nuclear Medicine, Yeditepe University, Kosuyolu Hospital, Kosuyolu Cad., No: 168, 34718, Kadıköy-Istanbul, Türkiye.
Tevfik F ÇermikDepartment of Nuclear Medicine, Acıbadem Maslak Hospital, Büyükdere Cad. No: 40 Maslak, 34398, Sarıyer-Istanbul, Türkiye.
Cengizhan ÖztürkInstitute of Biomedical Engineering, Boğaziçi University, Kandilli Campus, Feza Gürsey Bld., 34685, Çengelköy-Istanbul, Turkey.

Funding

Bogazici University Research Fund 19944
6 · The paper itself

Abstract

Positron Emission Tomography/Computed Tomography (PET/CT) combines metabolic and anatomical information improving the precision and accuracy of oncological diagnostics. The standardized uptake value (SUV) measures tumor metabolism, yet its accuracy is influenced by the partial volume effect (PVE), impacting small lesion detection. This study aims to refine PVE corrections for small lesions using an in-house customized, special anthropomorphic phantom. Scans of this phantom which contained spheres of different sizes were performed across four hospitals at different PET/CT systems from various manufacturers (Siemens and Philips analog PET/CT systems, GE analog and digital PET/CT systems). The phantom contained six custom-designed cylinders with embedded spheres simulating sub-centimeter (0.3, 0.5, 0.9) and centimeter (1.3, 1.9, 2.8) lesions. Scans were performed separately for each sphere in the thorax, abdomen, and pelvis regions at all sites. Recovery Coefficients (RCs) were calculated to correct SUV values, demonstrating that RCs vary by sphere size and anatomical region but not change significantly among scanners. RCs are approaching unity for larger spheres, ensuring accurate SUV measurements. However, small spheres (< 0.5 cm) exhibited significant measurement challenges due to PVE. The anthropomorphic phantom proved effective in obtaining realistic SUV-corrected values, offering a promising tool for enhancing the accuracy and standardization of PET imaging in oncology. This study underscores the necessity for advanced imaging technologies and standardized RC application in clinical settings to improve the quantification of PET imaging, particularly in small lesion detection.

Indexed as

Image Processing, Computer-AssistedPhantoms, ImagingPositron Emission Tomography Computed TomographyHumansAnthropomorphic phantomMedical imagingPartial volume effectPartial volume effect correctionPET/CTPVERecovery coefficients

Identifiers

PMID39955528
PMCPMC11830175

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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 OpenQuestion graph.