Evidence map›Paper›PMID 42807117›Full record

ArticleFrontiers in oncology2026

Modelling image quality over extended [

Elliott De Benetti, Tobias Preckel, Apichart Linhananta, Brandon Baldassi, Borys Komarov, Harutyun Poladyan, Vivianne Freitas, Alla Reznik, Oleksandr Bubon

Registry-linked trialAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03520218 (A Pilot Study to Evaluate Low-Dose Positron Emission Mammography Imaging in Visualization and Characterization of Suspicious Breast Abnormalities), which is not on this map. Not yet cited in PubMed.

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

NCT03520218 nacompletednot on this map

A Pilot Study to Evaluate Low-Dose Positron Emission Mammography Imaging in Visualization and Characterization of Suspicious Breast Abnormalities

TypeinterventionalSponsorUniversity Health Network, TorontoRan2019 to 2023Enrolled25ConditionsBreast CancerArmsPerformance of R-PEM
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

9 authors.

Elliott De BenettiDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Tobias PreckelDepartment of Medical Engineering, Pforzheim University, Pforzheim, Germany.
Apichart LinhanantaDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Brandon BaldassiRadialis Inc., Thunder Bay, ON, Canada.
Borys KomarovRadialis Inc., Thunder Bay, ON, Canada.
Harutyun PoladyanDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Vivianne FreitasTemerty Faculty of Medicine, Joint Department of Medical Imaging, University of Toronto, Toronto, ON, Canada.
Alla ReznikDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.
Oleksandr BubonDepartment of Physics, Lakehead University, Thunder Bay, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study investigated the effect of [ Methods: Fifteen malignant lesions from thirteen women newly diagnosed with breast cancer were imaged using low-dose [ Results: Extending uptake times beyond the 1-hour clinical standard significantly improved CNR across all doses, with comparable proportional gains. Relative to 1 hour post-injection, CNR increased by approximately 30% at 1.5 hours, 53% at 2 hours, and 77% at 3 hours, although uncertainty widened at 3 hours and beyond, particularly at the lowest dose (1 mCi). Relatively small variations in uptake time were also found to produce substantial changes in the standardized uptake value (SUV). Discussion: These findings demonstrate that extending uptake times by even 30 minutes beyond the 1-hour clinical standard may significantly enhance image CNR for low-dose [ Clinical Trials Registration: https://clinicaltrials.gov/study/NCT03520218, identifier NCT03520218.

Indexed as

[18F]FDG PEMbreast cancerbreast imagingdelayed imagingimage qualitykinetic modellingpositron emission mammography

Identifiers

PMID42807117
PMCPMC13616630

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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.