Evidence map›Paper›PMID 37181801›Full record

ArticleNuclear medicine and molecular imaging2023

Algorithm for Reducing Overall Biological Detriment Caused by PET/CT: an Age-Based Study.

Marco Spadafora, Pasqualina Sannino, Luigi Mansi, Ciro Mainolfi, Rosario Capasso, Eugenio Di Giorgio, Salvatore Fiordoro, Serena Imbimbo, Filomena Masone, Laura Evangelista

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In one paragraph

Article in Nuclear medicine and molecular imaging, 2023. 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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0citing papers in PubMed
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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

10 authors at 3 institutions in 2 countries.

Marco SpadaforaNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Pasqualina SanninoNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Luigi MansiCIRPS, Interuniversity Research Center for Sustainability, Rome, Italy.
Ciro MainolfiDepartment of Advanced Biomedical Sciences, University of Naples Federico II, Naples, Italy.
Rosario CapassoNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Eugenio Di GiorgioNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Salvatore FiordoroNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Serena ImbimboNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Filomena MasoneNuclear Medicine Unit, Ospedale del Mare, Naples, Italy.
Laura EvangelistaNuclear Medicine Unit, Department of Medicine (DIMED), University of Padua, Via Giustiniani 2, 35128 Padua, Italy.ORCID 0000-0002-5955-9488
Futura Medical (United Kingdom) · GBUniversity of Naples Federico II · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study is to use a simple algorithm based on patient's age to reduce the overall biological detriment associated with PET/CT. Materials and Methods: A total of 421 consecutive patients (mean age 64 ± 14 years) undergoing PET for various clinical indications were enrolled. For each scan, effective dose (ED in mSv) and additional cancer risk (ACR) were computed both in a reference condition (REF) and after applying an original algorithm (ALGO). The ALGO modified the mean dose of FDG and the PET scan time parameters; indeed, a lower dose and a longer scan time were reported in the younger, while a higher dose and a shorter scan time in the older patients. Moreover, patients were classified by age bracket (18-29, 30-60, and 61-90 years). Results: The ED was 4.57 ± 0.92 mSv in the REF condition. The ACR were 0.020 ± 0.016 and 0.0187 ± 0.013, respectively, in REF and ALGO. The ACR for the REF and ALGO conditions were significantly reduced in males and females, although it was more evident in the latter gender (all Conclusion: Implementation of ALGO protocols in PET can reduce the overall ACR, mainly in young and female patients.

Indexed as

Additional cancer riskEffective doseFDGPETRadiation risk

Identifiers

PMID37181801
PMCPMC10172419
OpenAlexW4319230680

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Registered trials

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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.