Evidence map›Paper›PMID 39673148›Full record

ArticleJournal of applied clinical medical physics2025

Clinical validation of MR-generated synthetic CT by MRCAT for brain tumor radiotherapy.

Tyrone Tsz Yeung Yip, Zhichun Li, Tian Li

Abstract readValidation Study
In one paragraph

Article in Journal of applied clinical medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Tyrone Tsz Yeung YipDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.
Zhichun LiDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.
Tian LiDepartment of Health Technology and Informatics, Faculty of Health and Social Sciences, The Hong Kong Polytechnic University, Hong Kong, Hong Kong.

Funding

General Research Fund GRF 15104822Health and Medical Research Fund HMRF 10211606Innovation and Technology Support Programme ITS/049/22FPNational Natural Science Foundation of China Young Scientist Fund NSFC-YSF 82202941
6 · The paper itself

Abstract

objectiveMRI is an emerging modality in radiotherapy (RT). Accuracy synthetic CT is the prerequisite for implementing MR-only RT planning. This study validated the commercial algorithm of MR for calculating attenuation (MRCAT) in terms of image quality and dosimetric agreement.

methodsBrain tumor cases with 18 treated using intensity-modulated radiotherapy (IMRT) or volumetric modulated arc therapy (VMAT), and 15 treated using stereotactic radiosurgery (SRS) were analyzed. Synthetic CTs were resampled referencing planning CT. Treatment plan calculated on planning CT was recalculated on resampled MRCAT. Image quality of selected metrics and dosimetric agreements were assessed by dose-volume-histogram and 3D gamma analysis.

resultsFor IMRT/VMAT and SRS cases, mean error were 23.42 ± 1.05 and 28.39 ± 3.17 HU; mean absolute error were 38.03 ± 1.42 and 52.36 ± 2.63 HU; root mean squared error were 89.09 ± 6.65 and 108.38 ± 12.23 HU; peak signal-to-noise ratio were 29.11 ± 0.60  and 27.65 ± 0.59 dB; and structural similarity index measures were 0.88 ± 0.00 and 0.70 ± 0.01 respectively. No significant differences were identified for DVH metrics accounting the target coverage. Most OARs did not have significant dose deviation, except left lens with 0.70% higher in D-mean after recalculation (p < 0.001). For criteria of 3 mm/3%, 2 mm/2%, and 1 mm/1%, gamma passing rates for IMRT/VMAT were 99.92%, 99.42%, and 96.47%, while SRS were 99.86%, 99.52%, and 97.57% respectively. Correlation between passing rate and image quality metrics was established in IMRT/VMAT cases, with higher similarity yield better dosimetric agreement between planning and synthetic CT.

conclusionThis study has validated the MRCAT for clinical use in terms of comparable image quality and dosimetric agreement with planning CT. Further case selection and MR-compatible immobilization device would be required.

Indexed as

AlgorithmsBrain NeoplasmsMagnetic Resonance ImagingOrgans at RiskRadiosurgeryRadiotherapy DosageRadiotherapy, Intensity-ModulatedRadiotherapy Planning, Computer-AssistedTomography, X-Ray ComputedFemaleHumansImage Processing, Computer-AssistedMalePrognosisRadiotherapy, Image-Guidedbrain tumorMRCATMRIMR‐only radiotherapyradiotherapysynthetic CT

Identifiers

PMID39673148
PMCPMC11713499

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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.