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

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...

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Detalles Bibliográficos
Autores principales: Hribernik, Nežka, Huff, Daniel T, Studen, Andrej, Zevnik, Katarina, Klaneček, Žan, Emamekhoo, Hamid, Škalic, Katja, Jeraj, Robert, Reberšek, Martina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9016045/
https://www.ncbi.nlm.nih.gov/pubmed/34958422
http://dx.doi.org/10.1007/s00259-021-05650-3
Descripción
Sumario: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.