ArticleMagma (New York, N.Y.)2026
Impact of different pre-processing methods combined with combat harmonization on the reproducibility of radiomics features in healthy human brain MRI.
Article in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
objectiveTo explore the effect of different pre-processing methods combined with ComBat harmonization on improving the stability of MRI radiomic features in healthy human brains.
methodsT1FLAIR and T2W scans from 416 healthy subjects across four MRI systems underwent seven pipelines (Original, N4, Z-Score, DTN, Nyul, WhiteStripe, RAVEL). SynthSeg segmented white/gray matter for 93 IBSI radiomic features. Stability was quantified via covariate-adjusted standardized scanner effect (d = β_scanner/σ_res, |d|< 0.2) with 95% bootstrap CIs, supplemented by PCA and LOOCV AUC. Friedman and post-hoc McNemar tests with Bonferroni correction compared pipelines. FDR-corrected partial correlations assessed retention of significant age and sex associations after ComBat.
resultsRaw data exhibited extremely low stability with substantial scanner-induced effects, while scanner classification AUC was close to 1.0. ComBat harmonization significantly improved stability across all pipelines and reduced AUC to near 0.5. Within this dataset, DTN_ComBat demonstrated consistently high stability; pairwise statistical comparisons indicated it showed more favourable stability performance relative to most other pipelines for the majority of tested contrasts, with stable proportions exceeding 90% across all sequences and tissues, and retained 75.0-100.0% of statistically significant age and sex-related associations.
conclusionUnprocessed brain MRI radiomic features exhibit poor cross‑scanner stability. Within this dataset, ComBat effectively reduces scanner‑related feature‑distribution differences, while preserving most statistically‑significant age and sex‑related associations. Among tested pre-processing pipelines, DTN_ComBat showed comparatively favourable performance under the present healthy‑brain MRI scanner‑protocol configurations.
Indexed as
Identifiers
42870193What OpenQuestion holds
Registered trials
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.