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This study evaluated whether segmentation-derived volume, sphericity, and compactness provide incremental prognostic value beyond conventional diameter.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and methods<\/jats:title>\n                    <jats:p>In 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.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Of 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,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20096.6 \u00d7 10\n                      <jats:sup>\u2212<\/jats:sup>\n                      <jats:sup>5<\/jats:sup>\n                      ) and in those with prolonged stay (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20099.1 \u00d7 10\n                      <jats:sup>\u2212<\/jats:sup>\n                      <jats:sup>6<\/jats:sup>\n                      ). In multivariable models, volume improved upon manual diameter for ICU prediction (area under the curve 0.841 [95% CI 0.78\u20130.90] vs. 0.816 [0.74\u20130.88]); adding sphericity improved prolonged stay prediction (R\n                      <jats:sup>2<\/jats:sup>\n                      0.246 vs. 0.216,\n                      <jats:italic>p<\/jats:italic>\n                      \u2009=\u20090.005). Interobserver agreement was excellent (ICC 0.97\u20130.99).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Segmentation-derived abscess volume, sphericity, and compactness provide complementary prognostic information beyond conventional diameter measurement for assessing neck infection severity.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Key Points<\/jats:title>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Question<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>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?<\/jats:italic>\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Findings<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>Abscess volume outperformed manual diameter for predicting ICU admissions, and lower sphericity independently predicted prolonged hospital stay beyond abscess size in multivariable models<\/jats:italic>\n                      .\n                    <\/jats:p>\n                    <jats:p>\n                      <jats:bold>\n                        <jats:italic>Clinical relevance<\/jats:italic>\n                      <\/jats:bold>\n                      <jats:italic>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<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00330-026-12962-1","type":"journal-article","created":{"date-parts":[[2026,10,8]],"date-time":"2026-10-08T06:57:20Z","timestamp":1791442640000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Segmentation-based morphometric analysis of neck abscesses on MRI: associations with disease severity"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3575-6979","authenticated-orcid":false,"given":"Ville","family":"Viertonen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6822-1171","authenticated-orcid":false,"given":"Aapo","family":"Sir\u00e9n","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5933-5421","authenticated-orcid":false,"given":"Jari-Pekka","family":"Vierula","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9756-4985","authenticated-orcid":false,"given":"Tatu","family":"Happonen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2104-6302","authenticated-orcid":false,"given":"Mikko","family":"Nyman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2482-9051","authenticated-orcid":false,"given":"Janne","family":"Nurminen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0368-3746","authenticated-orcid":false,"given":"Jussi","family":"Hirvonen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,10,8]]},"reference":[{"key":"12962_CR1","doi-asserted-by":"publisher","first-page":"459","DOI":"10.1016\/j.otc.2008.01.002","volume":"41","author":"F Vieira","year":"2008","unstructured":"Vieira F, Allen SM, Stocks RMS, Thompson JW (2008) Deep neck infection. 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