| Literature DB >> 33965341 |
Nina Ogrinc1, Philippe Saudemont1, Zoltan Takats1, Michel Salzet2, Isabelle Fournier3.
Abstract
In vivo cancer margin delineation during surgery remains a major challenge. Despite the availability of several image guidance techniques and intraoperative assessment, clear surgical margins and debulking efficiency remain scarce. For this reason, there is particular interest in developing rapid intraoperative tools with high sensitivity and specificity to help guide cancer surgery in vivo. Recently, several emerging technologies including intraoperative mass spectrometry have paved the way for molecular guidance in a clinical setting. We evaluate these techniques and assess their relevance for intraoperative surgical guidance and how they can transform the future of molecular cancer surgery, diagnostics, patient management and care.Entities:
Keywords: artificial intelligence; cancer; diagnostics; excision margins; in vivo real-time analysis; intraoperative mass spectrometry
Mesh:
Year: 2021 PMID: 33965341 DOI: 10.1016/j.molmed.2021.04.001
Source DB: PubMed Journal: Trends Mol Med ISSN: 1471-4914 Impact factor: 11.951