Prediction of extranodal extension in oropharyngeal cancer patients and carcinoma of unknown primary: value of metabolic tumor imaging with hybrid PET compared with MRI and CT.
Amina NemmourThomas M StadlerAlexander MaurerZsofia KovacsBettina SerrallachDiana BornConstanze M NemesMartina A BroglieShila PazahrNiels J RuppMartin W HüllnerSandro J StoeckliGregoire B MorandPublished in: European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery (2022)
CT achieved the best specificity, while MRI had the best sensitivity to detect ENE. Nodal metabolic tumor parameters differed significantly between ENE-positive/negative and p16-positive/negative patients. Hence, quantitative data obtained by metabolic imaging might predict presence of ENE and, therefore, could be helpful in customizing therapy management.
Keyphrases
- contrast enhanced
- high resolution
- computed tomography
- magnetic resonance imaging
- end stage renal disease
- positron emission tomography
- image quality
- ejection fraction
- newly diagnosed
- chronic kidney disease
- magnetic resonance
- diffusion weighted imaging
- peritoneal dialysis
- lymph node
- squamous cell carcinoma
- prognostic factors
- electronic health record
- patient reported outcomes
- mass spectrometry
- fluorescence imaging
- radiation therapy
- artificial intelligence
- cell therapy