TY - JOUR
T1 - Intraoperative assessment of resection margins by Raman spectroscopy to guide oral cancer surgery
AU - Aaboubout, Yassine
AU - Nunes Soares, Maria R.
AU - Bakker Schut, Tom C.
AU - Barroso, Elisa M.
AU - van der Wolf, Martin
AU - Sokolova, Elena
AU - Artyushenko, Viacheslav
AU - Bocharnikov, Alexey
AU - Usenov, Iskander
AU - van Lanschot, Cornelia G.F.
AU - Ottevanger, Lars
AU - Mast, Hetty
AU - ten Hove, Ivo
AU - Jonker, Brend P.
AU - Keereweer, Stijn
AU - Monserez, Dominiek A.
AU - Sewnaik, Aniel
AU - Hardillo, Jose A.
AU - Baatenburg de Jong, Rob J.
AU - Koljenović, Senada
AU - Puppels, Gerwin J.
N1 - Funding Information:
Financial support – the Dutch Cancer Society (Project 106467) and the EU-Eurostars-programme (Project 12076 – RA-SURE).
Publisher Copyright:
© 2023 The Royal Society of Chemistry.
PY - 2023
Y1 - 2023
N2 - Patients with oral cavity cancer are almost always treated with surgery. The goal is to remove the tumor with a margin of more than 5 mm of surrounding healthy tissue. Unfortunately, this is only achieved in about 15% to 26% of cases. Intraoperative assessment of tumor resection margins (IOARM) can dramatically improve surgical results. However, current methods are laborious, subjective, and logistically demanding. This hinders broad adoption of IOARM, to the detriment of patients. Here we present the development and validation of a high-wavenumber Raman spectroscopic technology, for quick and objective intraoperative measurement of resection margins on fresh specimens. It employs a thin fiber-optic needle probe, which is inserted into the tissue, to measure the distance between a resection surface and the tumor. A tissue classification model was developed to discriminate oral cavity squamous cell carcinoma (OCSCC) from healthy oral tissue, with a sensitivity of 0.85 and a specificity of 0.92. The tissue classification model was then used to develop a margin length prediction model, showing a mean difference between margin length predicted by Raman spectroscopy and histopathology of −0.17 mm.
AB - Patients with oral cavity cancer are almost always treated with surgery. The goal is to remove the tumor with a margin of more than 5 mm of surrounding healthy tissue. Unfortunately, this is only achieved in about 15% to 26% of cases. Intraoperative assessment of tumor resection margins (IOARM) can dramatically improve surgical results. However, current methods are laborious, subjective, and logistically demanding. This hinders broad adoption of IOARM, to the detriment of patients. Here we present the development and validation of a high-wavenumber Raman spectroscopic technology, for quick and objective intraoperative measurement of resection margins on fresh specimens. It employs a thin fiber-optic needle probe, which is inserted into the tissue, to measure the distance between a resection surface and the tumor. A tissue classification model was developed to discriminate oral cavity squamous cell carcinoma (OCSCC) from healthy oral tissue, with a sensitivity of 0.85 and a specificity of 0.92. The tissue classification model was then used to develop a margin length prediction model, showing a mean difference between margin length predicted by Raman spectroscopy and histopathology of −0.17 mm.
UR - http://www.scopus.com/inward/record.url?scp=85166903448&partnerID=8YFLogxK
U2 - 10.1039/d3an00650f
DO - 10.1039/d3an00650f
M3 - Article
C2 - 37493462
AN - SCOPUS:85166903448
SN - 0003-2654
VL - 148
SP - 4116
EP - 4126
JO - Analyst
JF - Analyst
IS - 17
ER -
