Imaging of Neuroendocrine Tumors and Challenges in Response Evaluation for Targeted Therapies View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2014

AUTHORS

Maxime Ronot , Chantal Dreyer , Olivia Hentic , Magaly Zappa , Cristian Mateescu , Anne Couvelard , Pascal Hammel , Valérie Vilgrain , Eric Raymond , Sandrine Faivre

ABSTRACT

Targeted therapies such as sunitinib and everolimus have emerged as novel treatment options for patients with pancreatic neuroendocrine tumors (PNET). Clinical trials are also pending for non-pancreatic neuroendocrine tumors. Large randomized trials using sunitinib and everolimus in PNET demonstrated that response rate by Response Evaluation Criteria in Solid Tumors (RECIST) was insufficient to predict the overall patients’ outcome and did not correlate with progression-free survival. Using RECIST, most patients receiving targeted agents have experienced tumor stabilization. Disappointedly, tumor stabilization by RECIST made impossible to recognize during the course of therapy the subset of patients who were truly benefiting from treatments. Therefore, investigators have started to seek for other imaging methods and criteria that could help identifying true responders from patients receiving targeted agents. In this chapter, we aimed to review the various imaging techniques used to characterize neuroendocrine tumors in routine clinic and clinical trials. We also challenge the potential advantages of those imaging techniques for the evaluation of response in patients with neuroendocrine tumors. Finally, we discuss novel criteria that are not only based on measurement of tumor dimension but also rely on tumor density such as Choi criteria. More... »

PAGES

155-165

References to SciGraph publications

Book

TITLE

Management of Neuroendocrine Tumors of the Pancreas and Digestive Tract

ISBN

978-2-8178-0429-3
978-2-8178-0430-9

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-2-8178-0430-9_11

DOI

http://dx.doi.org/10.1007/978-2-8178-0430-9_11

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001356361


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