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ArticleFrontiers in neuroscience2026

Comparison of subject-to-template registration schemes using CT and MR radiotherapy images with brain lesions.

Anna Bangiri, Stefanie Thust, Paul S Morgan, Stefan Pszczolkowski

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06466720 (Measuring and Mapping Cognitive Decline After Brain Radiosurgery), which is not on this 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.

NCT06466720 active not recruitingnot on this map

Measuring and Mapping Cognitive Decline After Brain Radiosurgery: a Pilot Study

TypeobservationalSponsorUniversity of NottinghamRan2024 to 2026Enrolled80ConditionsBrain Metastases, Meningiomas, Stereotactic Radiosurgery, Cognitive DeclineArmsNeurocognitive testing, Quality of Life questionnaire, Stereotactic radiosurgery
3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Anna BangiriSchool of Medicine, University of Nottingham, Nottingham, United Kingdom.
Stefanie ThustSchool of Medicine, University of Nottingham, Nottingham, United Kingdom.
Paul S MorganSchool of Medicine, University of Nottingham, Nottingham, United Kingdom.
Stefan PszczolkowskiSchool of Medicine, University of Nottingham, Nottingham, United Kingdom.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Introduction: Voxel-based analyses have been used more widely in radiotherapy in recent years. The purpose of this study is to compare eight different methods of registering images on to a template space for such analyses. A novel way, using both CT and MR data, is proposed. Methods: CT and MR brain images from 85 participants in the CoDe-B-Rad study (NCT06466720) were registered on an age-specific template. The registration schemes used included sCT-Template (linear and non-linear); MR-Template (linear, non-linear, masked, and enantiomorphic); and Dual-Template (linear and non-linear). The registrations were compared qualitatively and quantitatively against the template MR images with scores ranging from 1 (lowest) to 5 (highest) and quantitatively (via Jaccard, ASD, and HD95). Results: Qualitatively, the best registration scheme was the Dual-Template-non-linear registration, with 60 participants scoring above 4. The second best was the MR-Template-enantiomorphic, with 53 participants scoring above 4. Quantitatively, the Dual-Template-non-linear method outperformed on the mean (±SD) for the ASD and HD95, with 0.918 (±0.1774) and 2.965 (±0.5392) respectively. For ASD the difference compared to other methods was significant ( Conclusion: The Dual-Template-non-linear registration scheme is a new way of registering lesioned brain images for use with voxel-wise techniques in radiotherapy, which utilises both CT and MR image data. The scheme provides fidelity of the underlying soft tissue as well as the surrounding skull, minimising anatomical and dosimetric distortions.

Indexed as

CTMRIradiosurgeryradiotherapyregistrationvoxel-based analysis

Identifiers

PMID42582330
PMCPMC13457462

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