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Naslov:Quantitative imaging biomarkers of immune-related adverse events in immune-checkpoint blockade-treated metastatic melanoma patients : a pilot study
Avtorji:ID Hribernik, Nežka (Avtor)
ID Huff, Daniel T. (Avtor)
ID Studen, Andrej (Avtor)
ID Zevnik, Katarina (Avtor)
ID Klaneček, Žan (Avtor)
ID Emamekhoo, Hamid (Avtor)
ID Škalič, Katja (Avtor)
ID Jeraj, Robert (Avtor)
ID Reberšek, Martina (Avtor)
Datoteke:.pdf PDF - Predstavitvena datoteka, prenos (9,65 MB)
MD5: 8A73C7F3392A0EB3317C8F0D91B00005
 
Jezik:Angleški jezik
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:Logo OI - Onkološki inštitut Ljubljana
Povzetek: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%>2.7 g/mL), lung (SUV95%>1.7 g/mL), and thyroid (SUV75%>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.
Ključne besede:melanoma, malignant melanoma, immune-checkpoint inhibitors, molecular imaging biomarkers
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Datum objave:27.12.2021
Založnik:Springer Nature
Leto izida:2022
Št. strani:str. [1-10]
Številčenje:Vol. , no.
PID:20.500.12556/DiRROS-15457 Novo okno
UDK:616.5
ISSN pri članku:1619-7070
DOI:10.1007/s00259-021-05650-3 Novo okno
COBISS.SI-ID:91868163 Novo okno
Avtorske pravice:by Authors
Datum objave v DiRROS:07.09.2022
Število ogledov:499
Število prenosov:146
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
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Gradivo je del revije

Naslov:European journal of nuclear medicine and molecular imaging
Skrajšan naslov:Eur. j. nucl. med. mol. imaging
Založnik:Springer
ISSN:1619-7070
COBISS.SI-ID:1542421 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:P3-0321-2020
Naslov:Napovedni dejavniki poteka bolezni in odgovora na zdravljenje pri različnih vrst raka

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:07.09.2022

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:melanom, metastatski melanom, imunska nadzorna stikala, molekularni biološki označevalci


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