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Setting-up a training programme for intraoperative molecular imaging and sentinel node mapping: how to teach? How to
Renato A Valdés Olmos1,2, Angela Collarino3, Daphne D D Rietbergen4,5
1Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA, Leiden, The Netherlands. R.A.Valdes_Olmos@lumc.nl.
European Journal of Nuclear Medicine and Molecular Imaging
|November 29, 2023
Summary
Radio-guided surgery, crucial for sentinel node (SN) procedures, has evolved into intraoperative molecular imaging (IMI). This review introduces a training program for professionals in SN mapping and IMI applications.
Area of Science:
- Medical imaging
- Surgical oncology
- Nuclear medicine
Background:
- Radio-guided surgery (RGS) has supported sentinel node (SN) procedures for over 30 years.
- The triple approach (lymphoscintigraphy, gamma probe, blue dye) validated SN procedures and pioneered intraoperative molecular imaging (IMI).
- IMI relies on multimodality approaches and multidisciplinary collaboration.
Purpose of the Study:
- To address the need for professional training in evolving IMI and SN mapping techniques.
- To present a structured learning program developed by experienced European practitioners.
Main Methods:
- Integration of SPECT/CT and PET/CT into IMI protocols and SN mapping.
- Combination of novel technologies with gamma guidance using hybrid tracers and multimodal detection.
- Development of a modular training program for IMI and SN mapping.
Main Results:
- A comprehensive training program has been developed by experienced practitioners in SN mapping and IMI.
- The program consists of specific learning modules designed for training initiatives.
- It serves as a guide for both centralized and peripheral training in the field.
Conclusions:
- The tutorial review provides a foundation in IMI and SN mapping within the context of prior art.
- It is intended for medical and paramedical practitioners, as well as hardware and software developers.
- The program aims to facilitate skill transfer and enhance outcome-related evaluation in IMI.

