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Human robotic surgery with intraoperative tissue identification using rapid evaporation ionisation mass spectrometry.
Manoli, Eftychios; Higginson, James; Tolley, Neil; Darzi, Ara; Kinross, James; Temelkuran, Burak; Takats, Zoltan.
Affiliation
  • Manoli E; Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
  • Higginson J; Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
  • Tolley N; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Darzi A; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Kinross J; Department of Surgery and Cancer, Imperial College London, London, UK.
  • Temelkuran B; Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
  • Takats Z; The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK.
Sci Rep ; 14(1): 1027, 2024 01 10.
Article in En | MEDLINE | ID: mdl-38200062
ABSTRACT
Instantaneous, continuous, and reliable information on the molecular biology of surgical target tissue could significantly contribute to the precision, safety, and speed of the intervention. In this work, we introduced a methodology for chemical tissue identification in robotic surgery using rapid evaporative ionisation mass spectrometry. We developed a surgical aerosol evacuation system that is compatible with a robotic platform enabling consistent intraoperative sample collection and assessed the feasibility of this platform during head and neck surgical cases, using two different surgical energy devices. Our data showed specific, characteristic lipid profiles associated with the tissue type including various ceramides, glycerophospholipids, and glycerolipids, as well as different ion formation mechanisms based on the energy device used. This platform allows continuous and accurate intraoperative mass spectrometry-based identification of ablated/resected tissue and in combination with robotic registration of images, time, and anatomical positions can improve the current robot-assisted surgical platforms and guide surgical strategy.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Robotic Surgical Procedures Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Robotics / Robotic Surgical Procedures Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Sci Rep / Sci. rep. (Nat. Publ. Group) / Scientific reports (Nature Publishing Group) Year: 2024 Document type: Article Country of publication: