Evidence map›Paper›PMID 42918945›Full record

ArticleJournal of imaging informatics in medicine2026

Field-Strength Dependence of Automated Subcortical Volumetry: A Paired 3 T-7 T Benchmarking Study of BrainSuite, FastSurfer and NextBrain.

Emre Emekli, Burak Can Demirel, Esra Emekli

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of imaging informatics in medicine, 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

3 authors.

Emre EmekliFaculty of Medicine, Department of Radiology, Eskişehir Osmangazi University, Eskişehir, Turkey. emreemekli90@gmail.com.ORCID http://orcid.org/0000-0001-5989-1897
Burak Can DemirelTranslational Medicine Application and Research Center, Eskişehir Osmangazi University, Eskişehir, Turkey.ORCID http://orcid.org/0009-0005-2927-0535
Esra EmekliClinic of Psychiatry, Eskişehir City Hospital, Eskişehir, Turkey.ORCID http://orcid.org/0000-0001-5937-6270

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Automated segmentation pipelines are widely used for quantitative assessment of subcortical brain structures, yet it remains unclear whether measurements obtained at different magnetic field strengths are numerically interchangeable. This study evaluated the cross-field agreement and inter-software consistency of automated subcortical volumetry using paired 3T and 7T structural MRI data from 30 healthy adults. T1-weighted images were independently processed using BrainSuite, FastSurfer and NextBrain. Volumes of the bilateral putamen, globus pallidus, nucleus accumbens, thalamus and caudate nucleus were analysed. Within-software agreement between 3 and 7T measurements was assessed using two-way mixed-effects, single-measure intraclass correlation coefficients for absolute agreement. Inter-software agreement was examined separately at 3T and 7T using both absolute agreement and consistency intraclass correlation coefficients. All within-software regional comparisons and selected inter-software comparisons were further evaluated using Bland-Altman analyses. Cross-field agreement varied markedly across software packages and anatomical regions. BrainSuite showed poor absolute agreement across all regions, whereas FastSurfer and NextBrain demonstrated moderate-to-good agreement in selected structures. Inter-software consistency was generally higher than absolute agreement, indicating preservation of relative participant ranking despite systematic differences in measured volumes. Segmentation failures were more frequent at 7T, particularly for BrainSuite. Bland-Altman analyses confirmed software- and region-specific systematic differences and wide limits of agreement. These findings indicate that the evaluated automated segmentation pipelines do not provide field-strength-invariant subcortical volume estimates. Measurements obtained at 3T and 7T, or using different software packages, should not be considered directly interchangeable without pipeline-specific validation or harmonisation.

Indexed as

Automated segmentationBenchmarkingMeasurement agreementNeuroimaging pipelinesSubcortical volumetryUltra-high-field MRI

Identifiers

What OpenQuestion holds

Textmetadata
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.