Evidence map›Paper›PMID 42010134›Full record

ArticleEJNMMI physics2026

AI-based synthetic CT attenuation correction enables reliable quantitative SPECT in unilateral condylar hyperplasia.

Anna Rebeka Kovács, Enikő Fanni Juhász, Péter Czina, Ádám Budai, József Varga, Borbála Husztik, Ákos Kovács, Melinda Szoliková, Róbert Boda, Kincső Sára Kovács and 2 more

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Article in EJNMMI physics, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Anna Rebeka KovácsDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary.ORCID http://orcid.org/0009-0006-8412-0203
Enikő Fanni JuhászJávorszky Ödön Hospital, Vác, 2600, Hungary.
Péter CzinaDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary.ORCID http://orcid.org/0009-0006-9397-2870
Ádám BudaiScanomed Nuclear Medicine Center, Debrecen, 4032, Hungary.
József VargaDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary.ORCID http://orcid.org/0000-0001-5797-9625
Borbála HusztikMediso Ltd, Budapest, 1037, Hungary.
Ákos KovácsMediso Ltd, Budapest, 1037, Hungary.ORCID http://orcid.org/0000-0002-7163-5228
Melinda SzolikováMediso Ltd, Budapest, 1037, Hungary.
Róbert BodaDepartment of Oral and Maxillofacial Surgery, Faculty of Dentistry, University of Debrecen, Debrecen, 4032, Hungary.
Kincső Sára KovácsDivision of Radiology and Imaging Science, Department of Medical Imaging, University of Debrecen, Debrecen, 4032, Hungary.
Ildikó GaraiDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary.
Sándor Kristóf BarnaDivision of Nuclear Medicine and Translational Imaging, Department of Medical Imaging, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary. barna.sandor@med.unideb.hu.ORCID http://orcid.org/0000-0002-0608-7704

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUnilateral condylar hyperplasia (UCH) is a rare mandibular growth disorder in which accurate assessment of condylar metabolic activity is essential for surgical decision-making. Quantitative

methodsThis retrospective study included 14 patients with UCH who underwent

resultsVisual evaluation revealed no relevant differences in image quality between the two reconstructions. Relative uptake fractions normalized to the summed condylar activity showed good agreement between methods. Clivus-normalized ratios demonstrated a small positive bias.

conclusionAI-generated SyCT provides attenuation correction comparable to CTAC for clinically relevant relative condylar uptake assessment in UCH, supporting its use as a low-radiation alternative for quantitative mandibular SPECT imaging.

Indexed as

Artificial intelligenceAttenuation correctionQuantitative SPECTSynthetic CTUnilateral condylar hyperplasia

Identifiers

PMID42010134
PMCPMC13230450

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