Evidence map›Paper›PMID 40535143›Full record

ArticleFrontiers in oncology2025

Validating a T1-weighted cine MRI for a 1.5T MR-Linac with temporal resolution appropriate for respiratory motion.

Nathan Shaffer, Alex Dresner, Qi Ying, Eveline Alberts, Marijn Kruiskamp, Joseph Caster, Daniel Hyer, Jeffrey Snyder, Joel St-Aubin

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

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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

5 · Who and what money

Authors and funding

9 authors.

Nathan ShafferDepartment of Biomedical Engineering, University of Iowa, Iowa City, IA, United States.
Alex DresnerDepartment of MR Therapy, Philips Healthcare, Cleveland, OH, United States.
Qi YingDepartment of Radiation Oncology, University of Iowa Health Care, Iowa City, IA, United States.
Eveline AlbertsPhilips Healthcare, Best, Netherlands.
Marijn KruiskampPhilips Healthcare, Best, Netherlands.
Joseph CasterDepartment of Radiation Oncology, University of Iowa Health Care, Iowa City, IA, United States.
Daniel HyerDepartment of Radiation Oncology, University of Iowa Health Care, Iowa City, IA, United States.
Jeffrey SnyderDepartment of Therapeutic Radiology, School of Medicine, Yale University, New Haven, CT, United States.
Joel St-AubinDepartment of Radiation Oncology, University of Iowa Health Care, Iowa City, IA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: High temporal resolution cine magnetic resonance imaging (MRI) for the 1.5T Elekta Unity MR-Linac system currently relies on a balanced contrast sequence for motion monitoring (MM) and tumor tracking. Despite its high signal-to-noise ratio (SNR), a balanced contrast sequence does not always provide the ideal contrast for tumor imaging in all situations. Thus, the investigation of other contrast high temporal resolution cine MRI sequences is needed. Methods: Experiments were conducted to validate the T1-weighting and SNR on a cine MRI sequence with a frame rate of 4 frames-per-second (fps) and sufficient image quality. A ModusQA Quasar MRI4D motion phantom and Alzheimer's Disease Neuroimaging Initiative (ADNI) phantom were used to confirm adequate motion tracking, contrast-to-noise ratio (CNR), SNR, and T1 weighting of the new cine MRI sequence. Target tracking success using Elekta's Comprehensive Motion Management (CMM) algorithm was assessed on Results: The T1-weighted cine MRI sequence exhibited consistent CNR, SNR and T1-weighting over the duration of the scan while maintaining the ability to capture target motion within 1 mm at 4 fps. Conclusion: The proposed T1-weighted cine MRI sequence can produce quality T1-weighted images capable of tracking tumor motion over time. This demonstrates the sequence's potential in motion monitoring tasks as an alternative to the bTFE sequence when necessary.

Indexed as

motion monitoringMR-linacT1-weighted cine MRIT1-weighted imagingtumor tracking

Identifiers

PMID40535143
PMCPMC12174060

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