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Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot study

Nežka Hribernik, Daniel T Huff, Andrej Studen, Katarina Zevnik, Žan Klaneček, Hamid Emamekhoo, Katja Škalic, Robert Jeraj, Martina Reberšek

2021European Journal of Nuclear Medicine and Molecular Imaging27 citationsDOIOpen Access PDF

Abstract

Abstract Purpose To develop quantitative molecular imaging biomarkers of immune-related adverse event (irAE) development in malignant melanoma (MM) patients receiving immune-checkpoint inhibitors (ICI) imaged with 18 F-FDG PET/CT. Methods 18 F-FDG PET/CT images of 58 MM patients treated with anti-PD-1 or anti-CTLA-4 ICI were retrospectively analyzed for indication of irAE. Three target organs, most commonly affected by irAE, were considered: bowel, lung, and thyroid. Patient charts were reviewed to identify which patients experienced irAE, irAE grade, and time to irAE diagnosis. Target organs were segmented using a convolutional neural network (CNN), and novel quantitative imaging biomarkers — SUV percentiles (SUV X% ) of 18 F-FDG uptake within the target organs — were correlated with the clinical irAE status. Area under the receiver-operating characteristic curve (AUROC) was used to quantify irAE detection performance. Patients who did not experience irAE were used to establish normal ranges for target organ 18 F-FDG uptake. Results A total of 31% (18/58) patients experienced irAE in the three target organs: bowel ( n =6), lung ( n =5), and thyroid ( n =9). Optimal percentiles for identifying irAE were bowel (SUV 95% , AUROC=0.79), lung (SUV 95% , AUROC=0.98), and thyroid (SUV 75% , AUROC=0.88). Optimal cut-offs for irAE detection were bowel (SUV 95% >2.7 g/mL), lung (SUV 95% >1.7 g/mL), and thyroid (SUV 75% >2.1 g/mL). Normal ranges (95% confidence interval) for the SUV percentiles in patients without irAE were bowel [1.74, 2.86 g/mL], lung [0.73, 1.46 g/mL], and thyroid [0.86, 1.99 g/mL]. Conclusions Increased 18 F-FDG uptake within irAE-affected organs provides predictive information about the development of irAE in MM patients receiving ICI and represents a potential quantitative imaging biomarker for irAE. Some irAE can be detected on 18 F-FDG PET/CT well before clinical symptoms appear.

Topics & Concepts

MedicineAdverse effectReceiver operating characteristicGastroenterologyLungConfidence intervalThyroidInternal medicineNuclear medicineCancer Immunotherapy and BiomarkersRadiomics and Machine Learning in Medical ImagingColorectal Cancer Treatments and Studies
Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients: a pilot study | Litcius