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18F-FMISO-PET Hypoxia Monitoring for Head-and-Neck Cancer Patients: Radiomics Analyses Predict the Outcome of Chemo-Radiotherapy

M. Carles, Tobias Fechter, Anca‐Ligia Grosu, A Sörensen, Benedikt Thomann, Raluca Stoian, Nicole Wiedenmann, Alexander Rühle, Constantinos Zamboglou, Juri Ruf, Luis Martí‐Bonmatí, Dimos Baltas, Michael Mix, Nils H. Nicolay

2021Cancers44 citationsDOIOpen Access PDF

Abstract

Tumor hypoxia is associated with radiation resistance and can be longitudinally monitored by 18F-fluoromisonidazole (18F-FMISO)-PET/CT. Our study aimed at evaluating radiomics dynamics of 18F-FMISO-hypoxia imaging during chemo-radiotherapy (CRT) as predictors for treatment outcome in head-and-neck squamous cell carcinoma (HNSCC) patients. We prospectively recruited 35 HNSCC patients undergoing definitive CRT and longitudinal 18F-FMISO-PET/CT scans at weeks 0, 2 and 5 (W0/W2/W5). Patients were classified based on peritherapeutic variations of the hypoxic sub-volume (HSV) size (increasing/stable/decreasing) and location (geographically-static/geographically-dynamic) by a new objective classification parameter (CP) accounting for spatial overlap. Additionally, 130 radiomic features (RF) were extracted from HSV at W0, and their variations during CRT were quantified by relative deviations (∆RF). Prediction of treatment outcome was considered statistically relevant after being corrected for multiple testing and confirmed for the two 18F-FMISO-PET/CT time-points and for a validation cohort. HSV decreased in 64% of patients at W2 and in 80% at W5. CP distinguished earlier disease progression (geographically-dynamic) from later disease progression (geographically-static) in both time-points and cohorts. The texture feature low grey-level zone emphasis predicted local recurrence with AUCW2 = 0.82 and AUCW5 = 0.81 in initial cohort (N = 25) and AUCW2 = 0.79 and AUCW5 = 0.80 in validation cohort. Radiomics analysis of 18F-FMISO-derived hypoxia dynamics was able to predict outcome of HNSCC patients after CRT.

Topics & Concepts

RadiomicsMedicineHead and neck cancerRadiation therapyHead and neck squamous-cell carcinomaCohortNuclear medicineHypoxia (environmental)Tumor hypoxiaOncologyInternal medicineRadiologyOxygenOrganic chemistryChemistryRadiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsMRI in cancer diagnosis
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