Evidence map›Paper›PMID 40163154›Full record

ArticleEJNMMI physics2025

Generating synthetic brain PET images of synaptic density based on MR T1 images using deep learning.

Xinyuan Zheng, Patrick Worhunsky, Qiong Liu, Xueqi Guo, Xiongchao Chen, Heng Sun, Jiazhen Zhang, Takuya Toyonaga, Adam P Mecca, Ryan S O'Dell and 9 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in EJNMMI physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. On Hallucinations in Artificial Intelligence-Generated Content for Nuclear Medicine Imaging (the DREAM Report).Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Review
  2. Article
  3. Review
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

19 authors.

Xinyuan ZhengDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Patrick WorhunskyDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Qiong LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Xueqi GuoDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Xiongchao ChenDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Heng SunDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Jiazhen ZhangDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Takuya ToyonagaDepartment of Radiology and Biomedical Imaging, Yale University, New Haven, CT, USA.
Adam P MeccaDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Ryan S O'DellDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Christopher H van DyckDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Gustavo A AngaritaDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Kelly CosgroveDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Deepak D'SouzaDepartment of Psychiatry, Yale University, New Haven, CT, USA.
David MatuskeyDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Irina EsterlisDepartment of Psychiatry, Yale University, New Haven, CT, USA.
Richard E CarsonDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA.
Rajiv RadhakrishnanDepartment of Psychiatry, Yale University, New Haven, CT, USA. rajiv.radhakrishnan@yale.edu.
Chi LiuDepartment of Biomedical Engineering, Yale University, New Haven, CT, USA. chi.liu@yale.edu.

Funding

Yale Alzheimer Disease Research CenterP50AG047270 · NIA · YALE UNIVERSITY · PI KWAN, CHUN-HAY ALEX · 2015 to 2019
$8.3M
PET Imaging of SV2A and Other Biomarkers in Alzheimer's DiseaseR01AG062276 · NIA · YALE UNIVERSITY · PI VAN DYCK, CHRISTOPHER H · 2018 to 2022
$5.5M
Aberrant Synaptic Plasticity in Cocaine Use Disorder: A 11C UCB J PET StudyR01DA052454 · NIDA · YALE UNIVERSITY · PI ANGARITA, GUSTAVO ADOLFO · 2021 to 2025
$3.7M
PET Imaging of Synaptic Density in Alzheimers DiseaseR01AG052560 · NIA · YALE UNIVERSITY · PI CARSON, RICHARD E., VAN DYCK, CHRISTOPHER H · 2017 to 2020
$3.2M
Quantitative Low-Dose PET ImagingR01EB025468 · NIBIB · YALE UNIVERSITY · PI CARSON, RICHARD E., LIU, CHI · 2018 to 2022
$3.2M
NIA NIH HHS P50 AG047270NIA NIH HHS P50AG047270, R01AG052560, R01AG062276NIA NIH HHS R01 AG052560NIA NIH HHS R01 AG062276NIBIB NIH HHS R01 EB025468NIDA NIH HHS R01 DA052454NIDA NIH HHS R01DA052454-03NIH HHS R01EB025468-02S1
6 · The paper itself

Abstract

purposeSynaptic vesicle glycoprotein 2 A (SV2A) in human brains is an important biomarker of synaptic loss associated with several neurological disorders. However, SV2A tracers, such as [

methodsWe implemented a convolution-based 3D encoder-decoder to predict [

resultsThe generated SV2A PET images are visually similar to the ground truth in terms of contrast and tracer distribution, quantitatively with low bias (< 2%) and high similarity (> 0.9). Across all diagnostic categories and ROIs, including the hippocampus, frontal, occipital, parietal, and temporal regions, the synthetic SV2A PET images exhibit an average bias of less than 5% compared to the ground truth. The model also demonstrates a capacity for noise reduction, producing images of higher quality compared to the low-dose scans.

conclusionWe conclude that it is feasible to generate robust SV2A PET images with promising accuracy from MRI via a data-driven approach.

Indexed as

[11C]UCB-JDeep learningMedical imaging synthesisNeuroimagingPETSV2A

Identifiers

PMID40163154
PMCPMC11958861

What OpenQuestion holds

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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.