Segmentation-based morphometric analysis of neck abscesses on MRI: associations with disease severity - Summary - MDSpire
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MRI-Based Segmentation and Morphometric Assessment of Neck Abscesses in Relation to Disease Severity

  • By

  • Ville Viertonen

  • Aapo Sirén

  • Jari-Pekka Vierula

  • Tatu Happonen

  • Mikko Nyman

  • Janne Nurminen

  • Jussi Hirvonen

  • October 8, 2026

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Objective:

To assess whether MRI-derived abscess volume, sphericity, and compactness predict ICU admission and prolonged hospital length of stay better than manually measured maximum diameter.

Approach:
  • Design and cohort: Retrospective, single-center study of 227 patients with surgically confirmed neck abscesses who underwent contrast-enhanced MRI within 48 hours of presentation between April 2013 and August 2021.
  • Segmentation: Abscesses were manually segmented on MRI using post-contrast T1-weighted images, with T2-weighted and diffusion-weighted images as guidance. A neuroradiologist reviewed all masks; a random 30-case sample was used to assess interobserver reliability.
  • Morphometry: Volume and sphericity were extracted using PyRadiomics and IBSI recommendations. The supplied context ends before the compactness definition and outcome analyses.
Key Findings:
  • The provided context reports the study rationale, cohort, and segmentation methods but does not provide study results.
Interpretation:

The study was designed to evaluate whether quantitative MRI morphology measures add predictive value beyond maximum abscess diameter; the supplied material does not establish whether they did.

Limitations:
  • The study was retrospective and conducted at a single tertiary referral center.
  • Of 535 screened patients, 227 were included; exclusions included absent abscess, unavailable surgical confirmation, non-standard MRI protocols, insufficient imaging data, or lack of co-registered imaging.
  • The provided context does not include the full methods or results.
Sources:

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