ArticleMagma (New York, N.Y.)2026
Investigating the potential of segmented echo-planar imaging-based susceptibility-weighted imaging for glioma grading.
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
3 authors.
Funding
Abstract
backgroundSusceptibility-weighted imaging (SWI) has shown potential in glioma grading using features like intratumoral susceptibility signals (ITSS). Segmented echo-planar imaging-based SWI (SWI-EPI) sequence offers good spatial coverage and a high signal-to-noise ratio.
objectiveTo evaluate segmented echo-planar imaging-based susceptibility-weighted imaging (SWI-EPI) for glioma grading utilizing ITSS volume (ITV) and a proposed new metric, normalized ITV (nITV), calculated as the ratio of ITV to total tumor volume, to improve grading accuracy.
methodsITSS were segmented from the SWI-EPI sequence. ITV was computed and normalized by whole tumor volume to derive nITV. Statistical analysis included Shapiro-Wilk, Mann-Whitney, Kruskal-Wallis, and receiver-operating-characteristic (ROC) curve analyses to assess the effectiveness of both the metrics in glioma grading.
resultsThe proposed nITV metric significantly enhanced glioma grading accuracy. The area under the ROC curve (AUC) for nITV was consistently higher than for ITV when differentiating between grades 2 vs. 3 (0.886 vs. 0.818), 2 vs. 4 (0.969 vs. 0.939), and 3 vs. 4 (0.832 vs. 0.788). For differentiating low- vs. high-grade gliomas, nITV achieved an AUC of 0.95. Confusion matrices confirmed nITV led to fewer misclassifications.
conclusionITSS quantification from SWI-EPI is effective for tumor evaluation. The proposed nITV metric provides superior glioma grading efficiency compared to ITV.
Indexed as
Identifiers
41894128What 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.