For a complete list of publications please visit this link.
2019 |
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Kho E; de Boer LL; Van de Vijver K; van Duijnhoven F; Vrancken Peeters MTFD; Sterenborg HJCM; Ruers TJ Hyperspectral imaging for resection margin assessment during cancer surgery Journal Article Clinical Cancer Research, 2019. Links | BibTeX | Tags: cancer, Hyperspectral imaging, resection margin assessment, surgery @article{Li2019, title = {Hyperspectral imaging for resection margin assessment during cancer surgery}, author = {Kho E and de Boer LL and Van de Vijver K and van Duijnhoven F and Vrancken Peeters MTFD and Sterenborg HJCM and Ruers TJ}, url = {http://clincancerres.aacrjournals.org/content/early/2019/03/16/1078-0432.CCR-18-2089}, doi = {10.1158/1078-0432.CCR-18-2089}, year = {2019}, date = {2019-03-01}, journal = {Clinical Cancer Research}, keywords = {cancer, Hyperspectral imaging, resection margin assessment, surgery}, pubstate = {published}, tppubtype = {article} } | ![]() |
2018 |
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Gerrit C. Langhout; Koert F.D. Kuhlmann; Pim Schreuder; Torre Bydlon; Ludi E. Smeele; Michiel W.M. van den Brekel; Henricus J.C.M. Sterenborg; Benno H.W. Hendriks; Theo J.M. Ruers In vivo nerve identification in head and neck surgery using diffuse reflectance spectroscopy Journal Article Laryngoscope Investigative Otolaryngology, 3 (5), pp. 349-355, 2018. Abstract | Links | BibTeX | Tags: diffuse reflectance spectroscopy, DRS, Head and heck, peripheral nerves, surgery @article{doi:10.1002/lio2.174, title = {In vivo nerve identification in head and neck surgery using diffuse reflectance spectroscopy}, author = { Gerrit C. Langhout and Koert F.D. Kuhlmann and Pim Schreuder and Torre Bydlon and Ludi E. Smeele and Michiel W.M. van den Brekel and Henricus J.C.M. Sterenborg and Benno H.W. Hendriks and Theo J.M. Ruers}, url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/lio2.174}, doi = {10.1002/lio2.174}, year = {2018}, date = {2018-01-01}, journal = {Laryngoscope Investigative Otolaryngology}, volume = {3}, number = {5}, pages = {349-355}, abstract = {Background Careful identification of nerves during head and neck surgery is essential to prevent nerve damage. Currently, nerves are identified based on anatomy and appearance, optionally combined with electromyography (EMG). In challenging cases, nerve damage is reported in up to 50%. Recently, optical techniques, like diffuse reflectance spectroscopy (DRS) and fluorescence spectroscopy (FS) show potential to improve nerve identification. Methods 212 intra-operative DRS/FS measurements were performed. Small nerve branches (1–3 mm), on near-nerve adipose tissue, muscle and subcutaneous fat were measured during 11 surgical procedures. Tissue identification was based on quantified concentrations of optical absorbers and scattering parameters. Results Clinically comprehensive parameters showed significant differences (<0.05) between the tissues. Classification using k-Nearest Neighbor resulted in 100% sensitivity and a specificity of 83% (accuracy 91%), for the identification of nerve against surrounding tissues. Conclusions DRS/FS is a potentially useful intraoperative tool for identification of nerves from adjacent tissues. Level of Evidence Observational proof of principle study.}, keywords = {diffuse reflectance spectroscopy, DRS, Head and heck, peripheral nerves, surgery}, pubstate = {published}, tppubtype = {article} } Background Careful identification of nerves during head and neck surgery is essential to prevent nerve damage. Currently, nerves are identified based on anatomy and appearance, optionally combined with electromyography (EMG). In challenging cases, nerve damage is reported in up to 50%. Recently, optical techniques, like diffuse reflectance spectroscopy (DRS) and fluorescence spectroscopy (FS) show potential to improve nerve identification. Methods 212 intra-operative DRS/FS measurements were performed. Small nerve branches (1–3 mm), on near-nerve adipose tissue, muscle and subcutaneous fat were measured during 11 surgical procedures. Tissue identification was based on quantified concentrations of optical absorbers and scattering parameters. Results Clinically comprehensive parameters showed significant differences (<0.05) between the tissues. Classification using k-Nearest Neighbor resulted in 100% sensitivity and a specificity of 83% (accuracy 91%), for the identification of nerve against surrounding tissues. Conclusions DRS/FS is a potentially useful intraoperative tool for identification of nerves from adjacent tissues. Level of Evidence Observational proof of principle study. | ![]() |