TY - JOUR
T1 - Diffuse reflectance spectroscopy sensor to differentiate between glial tumor and healthy brain tissue
T2 - A proof-of-concept study
AU - Skyrman, Simon
AU - Burström, Gustav
AU - Lai, Marco
AU - Manni, Francesca
AU - Hendriks, Benno
AU - Frostell, Arvid
AU - Edström, Erik
AU - Persson, Oscar
AU - Elmi-Terander, Adrian
PY - 2022
Y1 - 2022
N2 - Glial tumors grow diffusely in the brain. Survival is correlated to the extent of tumor removal, but tumor borders are often invisible. Resection beyond the borders as defined by conventional methods may further improve prognosis. In this proof-of-concept study, we evaluate diffuse reflectance spectroscopy (DRS) for discrimination between glial tumors and normal brain ex vivo. DRS spectra and histology were acquired from 22 tumor samples and nine brain tissue samples retrieved from 30 patients. The content of biological chromophores and scattering features were estimated by fitting a model derived from diffusion theory to the DRS spectra. DRS parameters differed significantly between tumor and normal brain tissue. Classification using random forest yielded a sensitivity and specificity for the detection of low-grade gliomas of 82.0% and 82.7%, respectively, and the area under curve (AUC) was 0.91. Applied in a hand-held probe or biopsy needle, DRS has the potential to provide intra-operative tissue analysis.
AB - Glial tumors grow diffusely in the brain. Survival is correlated to the extent of tumor removal, but tumor borders are often invisible. Resection beyond the borders as defined by conventional methods may further improve prognosis. In this proof-of-concept study, we evaluate diffuse reflectance spectroscopy (DRS) for discrimination between glial tumors and normal brain ex vivo. DRS spectra and histology were acquired from 22 tumor samples and nine brain tissue samples retrieved from 30 patients. The content of biological chromophores and scattering features were estimated by fitting a model derived from diffusion theory to the DRS spectra. DRS parameters differed significantly between tumor and normal brain tissue. Classification using random forest yielded a sensitivity and specificity for the detection of low-grade gliomas of 82.0% and 82.7%, respectively, and the area under curve (AUC) was 0.91. Applied in a hand-held probe or biopsy needle, DRS has the potential to provide intra-operative tissue analysis.
UR - http://www.scopus.com/inward/record.url?scp=85143251134&partnerID=8YFLogxK
U2 - 10.1364/BOE.474344
DO - 10.1364/BOE.474344
M3 - Article
AN - SCOPUS:85143251134
SN - 2156-7085
VL - 13
SP - 6470
EP - 6483
JO - Biomedical Optics Express
JF - Biomedical Optics Express
IS - 12
ER -