Evidence map›Paper›PMID 41571988›Full record

ArticleEJNMMI physics2026

Harmonisation of standard uptake values in long-axial field-of-view PET/CT: an exploratory study.

Yue Li, Zhu Zhang, Hanyu Bai, Xinmiao Lu, Hua Pang

Abstract read
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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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yue Li *Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Zhu Zhang *Department of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Hanyu BaiDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China.
Xinmiao LuDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. luxinmiao@sjtu.edu.cn.ORCID http://orcid.org/0009-0007-1968-1976
Hua PangDepartment of Nuclear Medicine, The First Affiliated Hospital of Chongqing Medical University, No.1 Youyi Road, Yuzhong District, Chongqing, 400016, China. ph1973@126.com.ORCID https://orcid.org/0000-0001-6601-3208

Funding

National Natural Science Foundation of China 81974271
6 · The paper itself

Abstract

purposeSUV harmonisation was proposed to reduce discrepancies in SUV measurements and ensure SUV comparability across different PET scanners. A SUV harmonisation protocol has been established based on short-axial field-of-view (SAFOV) PET. However, long-axial field-of-view (LAFOV) PET features a different scanning mode and clinical workflow compared with SAFOV PET, and no dedicated SUV harmonisation protocol has yet been developed. This study aimed to perform an exploratory investigation of SUV harmonisation on LAFOV PET.

methodsThe long-axial detector was divided into five segments based on typical patient anatomical positioning. A NEMA IEC body phantom filled with

resultsThe position-specific optimal harmonisation filter parameters under EARL 1 were nearly identical across all detector positions, whereas under EARL 2 differences were observed. A general Gaussian filter derived by jointly considering all detector positions was sufficient to achieve EARL-compliant SUV harmonisation across the entire axial field of view. Moreover, when optimal filters derived from a single detector position were applied to other positions, harmonisation remained compliant with EARL 1, while deviations from EARL

conclusionsThe study proposes a detector-splitting phantom scanning strategy as a practical framework for robust SUV harmonisation for LAFOV PET systems. Position-specific or jointly optimized harmonisation filters applicable across all axial detector positions may be beneficial for ensuring reliable and comparable SUV measurements, particularly in longitudinal follow-up and multi-scanner clinical settings.

Indexed as

EARLLong-axial field-of-view PETNEMA IEC phantomSUV harmonisation

Identifiers

PMID41571988
PMCPMC12946547

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