Evidence map›Paper›PMID 41631035›Full record

ArticleClinical and translational radiation oncology2026

Prospective evaluation of liver cancer volumes on non-contrast 1.5 T MR Linac imaging.

Aisling M Glynn, Saheli Saha, Ian J Gerard, Michael Velec, Teodor Stanescu, Juan Diaz Martinez, Pablo Munoz-Schuffenegger, Ali Hosni, Aruz Mesci, Michael Yan and 4 more

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

14 authors.

Aisling M GlynnRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Saheli SahaRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Ian J GerardRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Michael VelecRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Teodor StanescuRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Juan Diaz MartinezBiostatistics, University of Toronto, Toronto, Canada.
Pablo Munoz-SchuffeneggerRadiation Oncology Unit, Department of Hematology - Oncology, Faculty of Medicine, Pontificia Universidad Catolica de Chile, Santiago, Chile.
Ali HosniRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Aruz MesciRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Michael YanRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Cathy RoccaRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Andrea ShesselRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.
Tae Kyoung KimDepartment of Medical Imaging, University of Toronto, Toronto, Canada.
Laura A DawsonRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The 1.5 T MR-Linac (MRL) provides a platform for online adaptive stereotactic body radiation therapy (SBRT). This study aims to compare gross tumor volume (GTV) on multiphasic (MP) CT and MR simulation imaging versus non-contrast MRL images and to measure changes in GTV during SBRT. Methods: Primary or metastatic liver cancer patients treated with SBRT using MRL or cone beam CT (CBCT) were eligible for this prospective imaging study. At simulation, patients underwent MP CT and MP 3 T MR liver T1-weighted (T1w) imaging in exhale breath hold and T2-weighted (T2w) images on 1.5 T MRL (MRL0). Repeat MRL T2w images were acquired at each SBRT fraction. Liver tumors were contoured on simulation CT/MR and MRL0 images and on each subsequent MRL image. MRL0 GTV were compared to MP CT/MR GTV and changes during SBRT were measured. Results: From August 2019 to January 2023, 29 liver tumors (23 patients) treated with SBRT, were contoured on 23 MP CT/3T MR and 103 MRL imaging datasets. Simulation MRL0 interquartile median GTV was 43.3 cc (IQR 4.3-47.7 cc), GTV on MRL0 images were smaller than MP CT/3T MR volumes by an average of 7.1 cc (95 % CI 1.9-12.2, p = 0.008) or 21.9 % (95 % CI 13.5-30.2, p = <0.001). Over the course of SBRT there were no statistically significant predictable trends in tumor volume. Conclusion: GTV based on MRL T2w images were significantly smaller than GTV based on MP CT/3T MR images. This systematic difference should be considered during adaptive MRL liver SBRT. There were no predictable changes in tumor volumes during SBRT.

Indexed as

gross tumor volume (GTV)Liver cancerMR-LinacMultiphasic imagingStereotactic body radiation therapy (SBRT)

Identifiers

PMID41631035
PMCPMC12860683

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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.