Evidence map›Paper›PMID 40314583›Full record

Trial reportRadiology. Imaging cancer2025

Evaluating Automated Tools for Lesion Detection on

Renee Miller, Mark Battle, Kristen Wangerin, Daniel T Huff, Amy J Weisman, Song Chen, Timothy G Perk, Gary A Ulaner

Abstract readClinical Trial, Phase II
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Radiology. Imaging cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Renee MillerGE HealthCare, Pollards Wood, Nightingales Lane, Chalfont Saint Giles HP8 4SP, United Kingdom.ORCID 0000-0003-4387-2813
Mark BattleGE HealthCare, Pollards Wood, Nightingales Lane, Chalfont Saint Giles HP8 4SP, United Kingdom.
Kristen WangerinGE HealthCare, Pollards Wood, Nightingales Lane, Chalfont Saint Giles HP8 4SP, United Kingdom.
Daniel T HuffAIQ Solutions, Madison, Wis.
Amy J WeismanAIQ Solutions, Madison, Wis.
Song ChenDepartment of Nuclear Medicine, The First Hospital of China Medical University, Shenyang, China.ORCID 0000-0002-2639-6301
Timothy G PerkAIQ Solutions, Madison, Wis.
Gary A UlanerDepartment of Molecular Imaging and Therapy, Hoag Family Cancer Institute, Irvine, Calif.ORCID 0000-0002-7953-0113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To evaluate two automated tools for detecting lesions on fluorine 18 (

Indexed as

Breast NeoplasmsEstradiolPositron Emission Tomography Computed TomographyAdultAgedFemaleFluorine RadioisotopesFluorodeoxyglucose F18HumansMiddle AgedProspective StudiesRadiopharmaceuticalsRetrospective StudiesSensitivity and Specificity16-fluoroestradiolEstradiolFluorine RadioisotopesFluorodeoxyglucose F18Radiopharmaceuticals18F-FES PETArtificial IntelligenceBreastComputer Applications-General (Informatics)Lesion DetectionLesion MatchingMetastatic Breast CancerMolecular Imaging-CancerNeural NetworksPET/CTSegmentation

Identifiers

PMID40314583
PMCPMC12134609

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.