PET/CT variants and pitfalls in malignant melanoma

Nicolas Aide1, Amir Iravani2, Kevin Prigent3

  • 1PET Centre, University Hospital, Service de Médecine Nucléaire, CHU de Caen, Avenue Côte de Nacre, 14000, Caen, France. nicolasaide0@gmail.com.

Insights

This review guides the use of 18F-FDG PET/CT for melanoma, addressing challenges from new therapies and advanced technology. It highlights potential interpretation pitfalls, including treatment effects and COVID-19 related findings.

Area of Science:

  • Nuclear Medicine
  • Oncology
  • Radiology

Background:

  • 18F-FDG PET/CT is crucial for staging and monitoring high-risk melanoma.
  • Novel therapies like tyrosine kinase inhibitors (TKI) and immune checkpoint inhibitors (ICIs) complicate response assessment.
  • Technological advancements enhance detection of small lesions but introduce new interpretation challenges.

Purpose of the Study:

  • To provide guidance on PET/CT protocols for melanoma imaging.
  • To discuss interpretation pitfalls related to melanoma treatment and non-malignant conditions.
  • To address challenges posed by new PET technologies and recent clinical contexts like COVID-19.

Main Methods:

  • Review of current literature and clinical practice guidelines for melanoma PET/CT.
  • Analysis of common and emerging pitfalls in interpreting PET/CT scans.
  • Inclusion of case examples illustrating diagnostic challenges.

Main Results:

  • New therapies and technologies necessitate updated interpretation strategies for melanoma PET/CT.
  • Non-malignant findings and treatment-related changes (e.g., immune activation) can mimic malignancy.
  • Advanced PET technology improves lesion detection but requires careful evaluation to avoid false positives.

Conclusions:

  • Optimized PET/CT protocols and awareness of potential pitfalls are essential for accurate melanoma management.
  • Understanding treatment effects, immune-related adverse events, and technological limitations is critical.
  • Continuous education is needed to navigate evolving diagnostic landscapes in melanoma imaging.