ArticleEuropean radiology2026
Segmentation-based morphometric analysis of neck abscesses on MRI: associations with disease severity.
Article in European radiology, 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesAbscess diameter on MRI is an established predictor of clinical severity in neck infections, but this single measurement does not characterize three-dimensional morphology. This study evaluated whether segmentation-derived volume, sphericity, and compactness provide incremental prognostic value beyond conventional diameter. MATERIALS AND
methodsIn 227 consecutive patients with surgically confirmed neck abscesses, abscess masks were segmented on post-contrast T1-weighted MRI. Three morphometric features were extracted: volume, sphericity, and compactness; their associations with intensive care unit (ICU) admission and a prolonged hospital stay (exceeding 5 days) were evaluated using multivariable models.
resultsOf 227 patients, 33 (15%) required ICU admission, and 40 (18%) had a prolonged hospital stay. Sphericity was lower in ICU patients (median 0.35 vs. 0.45, p = 6.6 × 10
conclusionSegmentation-derived abscess volume, sphericity, and compactness provide complementary prognostic information beyond conventional diameter measurement for assessing neck infection severity. KEY POINTS: Question Can segmentation-derived morphometric features of neck abscesses (volume, sphericity, compactness) improve prognostication of ICU admission and prolonged hospital stay beyond conventional diameter measurement on MRI? Findings Abscess volume outperformed manual diameter for predicting ICU admissions, and lower sphericity independently predicted prolonged hospital stay beyond abscess size in multivariable models. Clinical relevance Segmentation-derived morphometric features offer reproducible, quantitative tools for stratifying neck abscess severity in surgically managed patients; their value for guiding individual treatment decisions was not directly evaluated and warrants prospective validation.
Indexed as
Identifiers
42848038What 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.