Evidence map›Paper›PMID 42525552›Full record

ArticleMedical physics2026

Evaluation of motion correction on myocardial [

Hannah Kim, Ryan Tang, Uttam M Shrestha, Hee-Don Chae, Jelena Levi, Robert R Flavell, Youngho Seo

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the 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.

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

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

7 authors.

Hannah KimDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Ryan TangDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Uttam M ShresthaDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Hee-Don ChaeCellSight Technologies, Inc., San Francisco, California, USA.
Jelena LeviCellSight Technologies, Inc., San Francisco, California, USA.
Robert R FlavellDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.
Youngho SeoDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, California, USA.

Funding

[18F]F-AraG as an imaging biomarker for early diagnosis and monitoring of cardiotoxicity related to doxorubicin and immune check point inhibitor therapyR01HL160688 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jelena Levi, Youngho Seo · 2022 to 2026
$3.4M
SBIR PHASE II - TOPIC 396 - IMAGING FOR CANCER IMMUNOTHERAPIES75N91022C00015 · NCI · CELLSIGHT TECHNOLOGIES, INC. · PI LEVI, JELENA · 2022 to 2022
$2.0M
NCI NIH HHS 75N91022C00015NHLBI NIH HHS R01 HL160688NHLBI NIH HHS R01HL160688
6 · The paper itself

Abstract

background[ PURPOSE: To evaluate the impact of data-driven respiratory motion correction on myocardial image quality and quantitative stability in [

methodsRespiratory motion correction was performed using a vendor-implemented data-driven gating approach (OncoFreeze AI, Siemens Healthineers), which derives motion signals from PET coincidence data without external hardware and applies phase-based binning with motion-compensated reconstruction. [

resultsMotion correction reduced myocardial FWHM on average (global mean decrease ∼0.6 mm), indicating improved spatial resolution and reduced motion-related blurring. Threshold-based segmentation yielded variable uptake and volume estimates due to spillover and saturation effects, whereas the fixed VOI approach demonstrated preserved quantitative uptake with minimal changes in SUVmean (< 1%). Motion correction reduced apparent myocardial volume, consistent with improved myocardial boundary definition. While variability in FWHM and SUV persisted due to redistribution of counts across respiratory bins, the overall effect reflected a balance between reduced motion blur and increased statistical noise.

conclusionsData-driven respiratory motion correction improves myocardial spatial resolution and reduces regional differences in motion-related blurring in [

Indexed as

HeartImage Processing, Computer-AssistedMyocardiumPositron-Emission TomographyRespiratory-Gated Imaging TechniquesBiological TransportHumansMovement[18F]F‐AraGcardiac PETdata‐driven respiratory motion correction

Identifiers

PMID42525552
PMCPMC13419611

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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.