Evidence map›Paper›PMID 41446501›Full record

ArticleIEEE transactions on radiation and plasma medical sciences2025

Development and Initial Evaluation of 3D-printed High Resolution Brain Phantom for PET.

Cynthia Lo, Ekaterina Shanina, Paul Gravel, Yifan Hu, Steven A Lucero, Sean Martins, Tim Mulnix, Kathryn Fontaine, Seyed Faraz Nejati, Xishan Sun and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on radiation and plasma medical sciences, 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

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

15 authors.

Cynthia LoDepartment of Genetics, Yale School of Medicine, New Haven, CT 06520 USA.
Ekaterina ShaninaDepartment of Biomedical Engineering, University of California Davis, CA95616 USA.
Paul GravelYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Yifan HuYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Steven A LuceroDepartment of Biomedical Engineering, University of California Davis, CA95616 USA.
Sean MartinsYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Tim MulnixYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Kathryn FontaineYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Seyed Faraz NejatiYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Xishan SunUnited Imaging Healthcare North America, Houston, TX 77054 USA.
Hongdi LiUnited Imaging Healthcare North America, Houston, TX 77054 USA.
Jinyi QiDepartment of Biomedical Engineering, University of California Davis, CA95616 USA.
Simon R CherryDepartment of Biomedical Engineering, University of California Davis, CA95616 USA.
Richard E CarsonYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.
Takuya ToyonagaYale Biomedical Imaging Institute and the Department of Radiology & Biomedical Imaging, Yale School of Medicine, New Haven, CT 06520 USA.

Funding

NeuroExplorer: Ultra-high Performance Human Brain PET Imager for Highly-resolved In Vivo Imaging of NeurochemistryU01EB029811 · NIBIB · YALE UNIVERSITY · PI CARSON, RICHARD E., LI, HONGDI · 2020 to 2024
$10.0M
NIBIB NIH HHS U01 EB029811
6 · The paper itself

Abstract

Phantoms are essential for assessing PET system performance, but most existing brain phantoms do not provide the anatomical fidelity required for the next-generation high-resolution PET systems. To address this limitation, we developed HYDRA-OL (HYDrodynamically filled Realistic Anatomy of the Occipital Lobe) phantoms using high-resolution 3D printing based on the BigBrain atlas. In this study, two phantom types were created, HYDRA-OL

Indexed as

3D printedbrain PEThigh-resolutionphantom

Identifiers

PMID41446501
PMCPMC12724537

What OpenQuestion holds

Textmetadata
LicenceTDM
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.