Publication:
PET/MR for predicting extranodal extension of head and neck cancer.

cris.virtualsource.author-orcidf8a37e90-a232-4a1f-bdc5-29d3354991eb
cris.virtualsource.author-orcid0a2f71c6-abc5-4686-977d-3669481d909b
cris.virtualsource.author-orcid61c44ac7-9291-4b2a-8a0c-60d304da5e2a
datacite.rightsopen.access
dc.contributor.authorSanchez, Vanessa
dc.contributor.authorPizzuto, Daniele A
dc.contributor.authorMaurer, Alexander
dc.contributor.authorMuehlematter, Urs J
dc.contributor.authorSah, Bert-Ram
dc.contributor.authorHusmann, Lars
dc.contributor.authorSkawran, Stephan
dc.contributor.authorMader, Caecilia E
dc.contributor.authorMorand, Gregoire B
dc.contributor.authorMueller, Simon A
dc.contributor.authorMeerwein, Christian
dc.contributor.authorRupp, Niels J
dc.contributor.authorFreiberger, Sandra
dc.contributor.authorLanzer, Martin
dc.contributor.authorMesserli, Michael
dc.contributor.authorHuellner, Martin W
dc.date.accessioned2025-07-15T09:59:42Z
dc.date.available2025-07-15T09:59:42Z
dc.date.issued2025-05-21
dc.description.abstractPurpose To analyze the diagnostic accuracy of multiparametric FDG-PET/MR in identifying pathologic extranodal extension (pENE) of lymph node metastases (LNM) in head and neck squamous cell carcinoma (HNSCC) patients.Methods And Materials Retrospective analysis of 57 HNSCC patients who underwent preoperative FDG-PET/MR imaging. PET parameters of LNM SUVmax and MTV, lymph node size as well as MR parameters flare sign, shaggy margin sign and vanishing border sign were analyzed. Histopathological assessment of neck dissection specimens served as standard of reference.Results A logistic regression model consisting of lymph node size (p = 0.029), shaggy margin sign (p = 0.031) and MTV (p = 0.035) proved that all three parameters significantly contributed to the prediction of pENE (χ²(3) = 54.23, p < 0.001). A second model without the reader-dependent parameter shaggy margin sign yielded similar results (χ²(2) = 45.36, p < 0.001), with every increase in lymph node size (p = 0.006) by 1 mm increasing the likelihood of pENE by a factor of 1.41 (95%-CI[1.11, 1.81]), and every increase in MTV (p = 0.023) by 1 cm3 increasing the likelihood of pENE by a factor of 1.64 (95%-CI[1.07, 2.50]). This model yielded an accuracy of 94.7% (95%-CI [85.4, 98.9]) for predicting pENE, with a specificity of 97.3% (95%-CI [85.8, 99.9]) and a sensitivity of 90.0% (95%-CI [68.3, 98.8]). Internal validation using a test dataset confirmed high accuracy of this model.Conclusion PET/MR-based multivariate binomial logistic regression models consisting of MTV, lymph node size and/or shaggy lymph node margins predict pENE with high accuracy.
dc.description.sponsorshipInstitute of Diagnostic, Interventional and Paediatric Radiology
dc.identifier.doi10.48620/89489
dc.identifier.pmid40397135
dc.identifier.publisherDOI10.1007/s00234-025-03635-9
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/211514
dc.language.isoen
dc.publisherSpringer
dc.relation.ispartofNeuroradiology
dc.relation.issn1432-1920
dc.relation.issn0028-3940
dc.subject2- [18F]-fluorodeoxy-D-glucose
dc.subjectExtranodal extension
dc.subjectHead and neck cancer
dc.subjectHybrid imaging
dc.subjectPET/MR
dc.subject.ddc600 - Technology::610 - Medicine & health
dc.titlePET/MR for predicting extranodal extension of head and neck cancer.
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oairecerif.author.affiliationInstitute of Diagnostic, Interventional and Paediatric Radiology
unibe.contributor.roleauthor
unibe.description.ispublishedinpress
unibe.refereedtrue
unibe.subtype.articlejournal

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