Evidence map›Paper›PMID 42029865›Full record

ArticleEJNMMI physics2026

Q.Clear reconstruction shortening the scanning time for

Leiyue Chen, Wenjie Gong, Dan Wang, He Long, Xin Li, Renxiang Xia, Yun Yao, Wen Zhou, Weicheng Zhou, Xiao Chen

Abstract read
In one paragraph

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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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

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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

10 authors.

Leiyue Chen *Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Wenjie Gong *Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Dan Wang *Department of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
He LongDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Xin LiDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Renxiang XiaDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Yun YaoDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China.
Wen ZhouDepartment of Nuclear Medicine, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Weicheng ZhouDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China. zwc1233@tmmu.edu.cn.
Xiao ChenDepartment of Nuclear Medicine, Daping Hospital, Army Medical University, Chongqing, China. xiaochen229@tmmu.edu.cn.

Funding

AI Medical Research Project of Army Medical Center ZXAIYB005Chongqing Science and Health Joint Medical Research Project 2026MSXM010Natural Science Foundation of Chongqing CSTB2024NSCQ-MSX1024Science and Technology Innovation Ability Enhancement Project of Army Medical University 2023XLC06
6 · The paper itself

Abstract

purposeAs a tracer in brain PET imaging for diagnosis of Parkinson’s disease (PD), the application of 11C-methyl-N-2β-carbomethoxy-3β-(4-fluorophenyl)-tropane (11C-CFT) is limited due to its short half-life. This study aims to explore the feasibility of using Q.Clear reconstruction to reduce the scanning time of 11C-CFT brain PET imaging.

methodsWe retrospectively enrolled 43 patients who underwent 11C-CFT PET/MRI examination. Their image data was reconstructed using classical ordered subset expectation maximization (OSEM) with 20 min and Q.Clear with 5, 10, 15, 20 min of scanning time (QC05, QC10, QC15, QC20). Subsequently, subjective quality assessment and semi-quantitative assessment were employed across the five reconstruction groups. Subjective image assessment included overall image quality, image noise and lesion depiction. Signal-to-noise ratio (SNR), signal-to-background ratio (SBR) and dopamine transporters (DAT) binding rate were measured in semi-quantitative assessment.

resultsIn subjective assessment, all Q.Clear groups showed image quality and noise comparable or superior to OSEM. However, QC05 group received significantly lower overall image quality scores than QC10, QC15, QC20 (all P < 0.05). In several QC05 cases, both readers noted conspicuous signal absence with locational and uptake inconsistencies versus OSEM, leading to diagnostic discrepancy. By contrast, QC10, QC15, QC20 provided lesion visibility equivalent to the OSEM reference. Semi‑quantitative analysis indicated no significant differences among all groups in SNR, SBR, or DAT binding rate (all P > 0.05).

conclusionThe Q.Clear reconstruction demonstrates reliable performance in the quantitative assessment of 11C-CFT brain PET imaging, therefore can shorten scanning time to at least 10 min under the premise of meeting clinical diagnostic requirements.

Indexed as

11C-CFT; PET/MRIOSEMParkinson’s diseaseQ.Clear reconstruction

Identifiers

PMID42029865
PMCPMC13243153

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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.