Evidence map›Paper›PMID 34773998›Full record

ArticleBMC medical imaging2021

Impact of time of flight and point spread function on quantitative parameters of lung lesions in

Kemin Huang, Yanlin Feng, Weitang Liang, Lin Li

Abstract read
In one paragraph

Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  6. Diagnostic accuracy of dual-phaseScientific reports · 2025
    Article
  7. Comparison ofEJNMMI physics · 2025
    Article
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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

4 authors.

Kemin HuangDepartment of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China. hkmin25@163.com.
Yanlin FengDepartment of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China.
Weitang LiangDepartment of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China.
Lin LiDepartment of Nuclear Medicine, The First People's Hospital of Foshan, Foshan, 528000, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundImage reconstruction algorithm is one of the important factors affecting the quantitative parameters of PET/CT. The purpose of this study was to investigate the effects of time of flight (TOF) and point spread function (PSF) on quantitative parameters of lung lesions in

methodsThis retrospective study evaluated 60 lung lesions in 39 patients who had undergone

resultsCompared with OSEM reconstruction, using OSEM + TOF + PSF increased SUVmean and SUVmax by 23.73% and 22.71% respectively, and SNR increased by 70.18%, MTV decreased by 23.84% (p < 0.01). The percentage difference was significantly higher in smaller lesions (diameter 10-22 mm) than in larger lesions (diameter 23-44 mm), and significantly higher in low contrast lesions (SNR ≤ 15.31) than in high contrast lesions (SNR > 15.31). The difference of TLG among various reconstruction algorithms is relatively small, the highest value is - 6.48% of OSEM + TOF + PSF, and the lowest value is 0.81% of OSEM + TOF.

conclusionTOF and PSF significantly affected the quantitative parameters of lung lesions in

Indexed as

Positron Emission Tomography Computed TomographyRadiographic Image Interpretation, Computer-AssistedAdultAgedAged, 80 and overAlgorithmsFemaleFluorodeoxyglucose F18HumansLung NeoplasmsMaleMiddle AgedRadiopharmaceuticalsRetrospective StudiesFluorodeoxyglucose F18RadiopharmaceuticalsEmission computerPoint spread functionQuantitative parametersStandard uptake valueTime of flightTomography

Identifiers

PMID34773998
PMCPMC8590319

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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.