Evidence map›Paper›PMID 41880763›Full record

ArticlePhysics in medicine and biology2026

Deducing cardiorespiratory motion of cardiac substructures using a novel 5D-MRI workflow for radiotherapy.

Chase Ruff, Tarun Naren, Oliver Wieben, Prashant Nagpal, Kevin Johnson, Jiwei Zhao, Thomas Grist, Andrew Baschnagel, Carri Glide-Hurst

Abstract read
In one paragraph

Article in Physics in medicine and biology, 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

9 authors.

Chase RuffDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States of America.ORCID 0009-0005-2915-7970
Tarun NarenDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States of America.
Oliver WiebenDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States of America.
Prashant NagpalDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, United States of America.
Kevin JohnsonDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States of America.
Jiwei ZhaoDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, United States of America.
Thomas GristDepartment of Radiology, University of Wisconsin-Madison, Madison, WI, United States of America.ORCID 0000-0003-3279-6931
Andrew BaschnagelDepartment of Human Oncology, University of Wisconsin-Madison, Madison, WI, United States of America.
Carri Glide-HurstDepartment of Medical Physics, University of Wisconsin-Madison, Madison, WI, United States of America.ORCID 0000-0001-7989-4382

Funding

U.W. RADIOLOGICAL SCIENCES TRAINING PROGRAMT32CA009206 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Bryan Patrick Bednarz · 1985 to 2026
$12.1M
Reducing cardiac toxicity with deep learning and MRI-guided radiation therapyR01HL153720 · NHLBI · UNIVERSITY OF WISCONSIN-MADISON · PI GLIDE-HURST, CARRI KAYE · 2021 to 2024
$2.2M
NCI NIH HHS T32 CA009206NHLBI NIH HHS R01 HL153720
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

HeartMagnetic Resonance ImagingRadiotherapy, Image-GuidedRespirationAdultAgedFemaleHumansImage Processing, Computer-AssistedLung NeoplasmsMaleMiddle AgedMovementRadiotherapy Planning, Computer-AssistedWorkflowYoung Adultcardiacmagnetic resonance imagingmotion managementradiation therapyrespiratory motion

Identifiers

PMID41880763
PMCPMC13125878

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.