The Role and Potential of 18 F-FDG PET/CT in Malignant Melanoma: Prognostication, Monitoring Response to Targeted and Immunotherapy, and Radiomics.
Luca FilippiFrancesco BianconiOrazio SchillaciAngela SpanuBarbara PalumboPublished in: Diagnostics (Basel, Switzerland) (2022)
Novel therapeutic approaches, consisting of immune check-point inhibitors (ICIs) and molecularly targeted therapy, have thoroughly changed the clinical management of malignant melanoma (MM), the most frequent and deadly skin cancer. Since only 30-40% of MM patients respond to ICIs, imaging biomarkers suitable for the pre-therapeutic stratification and response assessment are warmly welcome. In this scenario, positron emission computed tomography (PET/CT) with 18 F-fluorodeoxyglucose ( 18 F-FDG) has been successfully utilized for advanced MM staging and therapy response evaluation. Furthermore, several PET-derived parameters (SUVmax, MTV, TLG) were particularly impactful for the prognostic evaluation of patients submitted to targeted and immunotherapy. In this review, we performed a web-based and desktop research on the clinical applications of 18 F-FDG PET/CT in MM, with a particular emphasis on the various metabolic criteria developed for interpreting PET/CT scan in patients undergoing immunotherapy or targeted therapy or a combination of both. Furthermore, the emerging role of radiomics, a quantitative approach to medical imaging applying analysis methodology derived by the field of artificial intelligence, was examined in the peculiar context, putting a particular emphasis on the potential of this discipline to support clinicians in the delicate process of building patient-tailored pathways of care.
Keyphrases
- pet ct
- positron emission tomography
- computed tomography
- artificial intelligence
- end stage renal disease
- chronic kidney disease
- ejection fraction
- patients undergoing
- healthcare
- newly diagnosed
- high resolution
- palliative care
- squamous cell carcinoma
- stem cells
- pet imaging
- prognostic factors
- chronic pain
- contrast enhanced
- deep learning
- big data
- patient reported outcomes
- lymph node
- drug delivery
- photodynamic therapy