Published 2022 | Version v1
Journal article

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

  • 1. Faculty of Medicine, University of Ljubljana, Ljubljana (Slovenia)
  • 2. Department of Medical Oncology, Institute of Oncology Ljubljana (Slovenia)
  • 3. University of Wisconsin Carbone Cancer Centre, Madison, WI (United States)
  • 4. Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI (United States)
  • 5. Jožef Stefan Institute, Ljubljana (Slovenia)
  • 6. Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana (Slovenia)
  • 7. Department of Nuclear Medicine, Institute of Oncology Ljubljana, Ljubljana (Slovenia)
  • 8. Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI (United States)

Description

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. 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. 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]. 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.

Availability note (English)

Available from: http://dx.doi.org/10.1007/s00259-021-05650-3

Additional details

Identifiers

Publishing Information

Journal Title
European Journal of Nuclear Medicine and Molecular Imaging
Journal Volume
49
Journal Issue
6
Journal Page Range
p. 1857-1869
ISSN
1619-7070
CODEN
EJNMA6

Optional Information

Notes
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