Optimising Radioligand Therapy for Patients with Gastro-Entero-Pancreatic Neuroendocrine Tumours: Expert Opinion from an Italian Multidisciplinary Group.

Autor: Fazio, Nicola, Falconi, Massimo, Foglia, Emanuela, Bartolomei, Mirco, Berruti, Alfredo, D'Onofrio, Mirko, Ferone, Diego, Giordano, Alessandro, Grimaldi, Franco, Milione, Massimo, Panzuto, Francesco, Santimaria, Monica, Schillaci, Orazio, Seregni, Ettore, Stasi, Michele, Volante, Marco, Lastoria, Secondo
Zdroj: Advances in Therapy; Jan2024, Vol. 41 Issue 1, p113-129, 17p
Abstrakt: Radioligand therapy (RLT) with lutetium (177Lu) oxodotreotide is an approved therapy in combination with somatostatin analogues (SSAs) for patients with advanced, well-differentiated G1–G2, gastro-entero-pancreatic neuroendocrine tumours (GEP-NETs) that progress on SSAs. We conducted a series of round table meetings throughout Italy to identify issues related to RLT delivery to patients with GEP-NETs. Four key issues were identified: (1) the proper definition of tumour progression prior to RLT initiation; (2) the impact of RLT in patients with bone metastases and/or high hepatic tumour burden; (3) the optimal follow-up protocol after RLT; and (4) organisational issues related to RLT use and managerial implications. This article reviews the literature relating to the aforementioned issues and makes recommendations based on available evidence and Italian NET experts' opinions. In particular, the group recommends the development of a diagnostic–therapeutic care pathway (DTCP) for patients undergoing RLT which provides systematic guidance but can still be individualised for each patient's clinical and psychosocial needs. A DTCP may clarify the diagnostic, therapeutic and post-treatment monitoring process, and improve communication and the coordination of care between hub and spoke centres. The DTCP may also contribute to changes in the care process related to the 2013/59/EURATOM Directive and to the definition of costs when planning for future or updated reimbursement of RLT in Italy. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index