Evidence map›Paper›PMID 39060373›Full record

Trial reportEuropean journal of nuclear medicine and molecular imaging2024

Multi-modality deep learning-based [

Xiaoya Qiao, Hanzhong Wang, Hongping Meng, Yun Xi, David Dagan Feng, Biao Li, Xiaoxiang Yan, Min Zhang, Qiu Huang

Registry-linked trialAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in European journal of nuclear medicine and molecular imaging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04723953 (Cardiac Fibroblast Activation Detected by 68Ga-FAPI PET/MR is a Prognostic Indicator in Patients With Myocardial Infarction.), which is not on this 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.

NCT04723953 nacompletednot on this map

Cardiac Fibroblast Activation Detected by 68Ga-FAPI PET/MR is a Prognostic Indicator in Patients With Myocardial Infarction.

TypeinterventionalSponsorRuijin HospitalRan2020 to 2022Enrolled89ConditionsMyocardial Remodeling After AMIArms68Ga-FAPI PET/MRI
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

9 authors.

Xiaoya QiaoDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
Hanzhong WangDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
Hongping MengDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
Yun XiDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
David Dagan FengSchool of Computer Science, The University of Sydney, Sydney, Australia.
Biao LiDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China.
Xiaoxiang YanDepartment of Cardiovascular Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China. cardexyanxx@hotmail.com.
Min ZhangDepartment of Nuclear Medicine, Ruijin Hospital, Shanghai Jiao Tong University, Shanghai, China. zm11518@rjh.com.cn.
Qiu HuangSchool of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China. qiuhuang@sjtu.edu.cn.ORCID 0000-0002-2966-6450

Funding

Shanghai Municipal Key Clinical Specialty shslczdzk03403Shanxi Medical University-Collaborative Innovation Center for Molecular Imaging of Precision Medicine, Guangci Clinical Technology and Innovation Program (GCTIP) of Ruijin Hospital YW20220006
6 · The paper itself

Abstract

purposeGenerating polar map (PM) from [

methodsWe proposed a deep-learning-based method that fuses multi-modality images to compensate for the cardiac structural information lost in [

resultsThe quantitative comparison demonstrated that our method was comparable with the manual method and surpassed the commercially available software-PMOD in terms of accuracy in generating PMs for [

conclusionThe [

trial registrationClinicalTrials.gov (NCT04723953). Registered 26 January 2021.

Indexed as

Deep LearningFibrosisMyocardial InfarctionPositron-Emission TomographyAgedFemaleGallium RadioisotopesHeterocyclic Compounds, 1-RingHumansImage Processing, Computer-AssistedMaleMiddle AgedOrganometallic CompoundsGallium RadioisotopesHeterocyclic Compounds, 1-RingOrganometallic Compounds[68Ga]Ga-DOTA-FAPI-04 PETDeep learningMedical image analysisMyocardial fibrosis analysisPolar map

Identifiers

PMID39060373

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.