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<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://dirros.openscience.si/IzpisGradiva.php?id=15457"><dc:title>Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients</dc:title><dc:creator>Hribernik,	Nežka	(Avtor)
	</dc:creator><dc:creator>Huff,	Daniel T.	(Avtor)
	</dc:creator><dc:creator>Studen,	Andrej	(Avtor)
	</dc:creator><dc:creator>Zevnik,	Katarina	(Avtor)
	</dc:creator><dc:creator>Klaneček,	Žan	(Avtor)
	</dc:creator><dc:creator>Emamekhoo,	Hamid	(Avtor)
	</dc:creator><dc:creator>Škalič,	Katja	(Avtor)
	</dc:creator><dc:creator>Jeraj,	Robert	(Avtor)
	</dc:creator><dc:creator>Reberšek,	Martina	(Avtor)
	</dc:creator><dc:subject>melanoma</dc:subject><dc:subject>malignant melanoma</dc:subject><dc:subject>immune-checkpoint inhibitors</dc:subject><dc:subject>molecular imaging biomarkers</dc:subject><dc:description>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 18F-FDG PET/CT. Methods: 18F-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 (SUVX%) of 18F-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 18F-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 (SUV95%, AUROC=0.79), lung (SUV95%, AUROC=0.98), and thyroid (SUV75%, AUROC=0.88). Optimal cut-offs for irAE detection were bowel (SUV95%&gt;2.7 g/mL), lung (SUV95%&gt;1.7 g/mL), and thyroid (SUV75%&gt;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 18F-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 18F-FDG PET/CT well before clinical symptoms appear.</dc:description><dc:publisher>Springer Nature</dc:publisher><dc:date>2022</dc:date><dc:date>2022-09-07 03:37:41</dc:date><dc:type>Neznano</dc:type><dc:identifier>15457</dc:identifier><dc:language>sl</dc:language><dc:rights>by Authors</dc:rights></rdf:Description></rdf:RDF>
