Multimodal Imaging With Positron Emission Tomography/Computed Tomography and Magnetic Resonance Imaging to Detect Extracapsular Extension in Head and Neck Cancer
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E-Artikel
Titel:
Multimodal Imaging With Positron Emission Tomography/Computed Tomography and Magnetic Resonance Imaging to Detect Extracapsular Extension in Head and Neck Cancer
Beschreibung:
<jats:sec><jats:title>Objectives/Hypothesis</jats:title><jats:p>To assess the ability of specific positron emission tomography/computed tomography (PET/CT) and magnetic resonance imaging (MRI) features to detect extracapsular extension (ECE) in head and neck squamous cell carcinoma (HNSCC) patients.</jats:p></jats:sec><jats:sec><jats:title>Study Design</jats:title><jats:p>Retrospective study in a tertiary certified university cancer institute.</jats:p></jats:sec><jats:sec><jats:title>Methods</jats:title><jats:p>We performed a review of patients with advanced HNSCC at Bern University Hospital between 2014 and 2018. Patients with pretherapeutic PET/CT and/or MRI who underwent neck dissection were included, with 212 patients fulfilling inclusion criteria. Blinded evaluation of specific PET/CT and MRI features with respect to presence of ECE was performed. Histopathological examination of neck dissection specimens was used as the gold standard to determine ECE status.</jats:p></jats:sec><jats:sec><jats:title>Results</jats:title><jats:p>Out of the 212 included patients, 184 had PET/CT, 186 MRI, and 158 both modalities. Overall clinical stage IV (odds ratio [OR]: 2.26, 95% confidence interval [CI]: 2.25‐11.74), ill‐defined margins in both PET/CT and MRI (OR: 3.48, 95% CI: 1.21‐9.98 and OR: 2.14, 95% CI: 0.94‐4.89, respectively), and a maximum standardized uptake value ≥ 10 (OR: 5.44, 95% CI: 1.21‐9.98) were all significant independent predictors of ECE. When combined, these four features led to a cumulative score able to predict ECE status with an accuracy of 91.43%.</jats:p></jats:sec><jats:sec><jats:title>Conclusions</jats:title><jats:p>The current findings indicate specific features in PET/CT and MRI are potential predictors of ECE status and may help in pretherapeutic stratification in HNSCC.</jats:p></jats:sec><jats:sec><jats:title>Level of Evidence</jats:title><jats:p>4 <jats:italic>Laryngoscope</jats:italic>, 131:E163–E169, 2021</jats:p></jats:sec>