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Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study

BACKGROUND: In colorectal cancer surgery there is a delicate balance between complete removal of the tumor and sparing as much healthy tissue as possible. Especially in rectal cancer, intraoperative tissue recognition could be of great benefit in preventing positive resection margins and sparing as...

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Autores principales: Baltussen, E. J. M., Brouwer de Koning, S. G., Sanders, J., Aalbers, A. G. J., Kok, N. F. M., Beets, G. L., Hendriks, B. H. W., Sterenborg, H. J. C. M., Kuhlmann, K. F. D., Ruers, T. J. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775650/
https://www.ncbi.nlm.nih.gov/pubmed/31578153
http://dx.doi.org/10.1186/s12967-019-2083-0
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author Baltussen, E. J. M.
Brouwer de Koning, S. G.
Sanders, J.
Aalbers, A. G. J.
Kok, N. F. M.
Beets, G. L.
Hendriks, B. H. W.
Sterenborg, H. J. C. M.
Kuhlmann, K. F. D.
Ruers, T. J. M.
author_facet Baltussen, E. J. M.
Brouwer de Koning, S. G.
Sanders, J.
Aalbers, A. G. J.
Kok, N. F. M.
Beets, G. L.
Hendriks, B. H. W.
Sterenborg, H. J. C. M.
Kuhlmann, K. F. D.
Ruers, T. J. M.
author_sort Baltussen, E. J. M.
collection PubMed
description BACKGROUND: In colorectal cancer surgery there is a delicate balance between complete removal of the tumor and sparing as much healthy tissue as possible. Especially in rectal cancer, intraoperative tissue recognition could be of great benefit in preventing positive resection margins and sparing as much healthy tissue as possible. To better guide the surgeon, we evaluated the accuracy of diffuse reflectance spectroscopy (DRS) for tissue characterization during colorectal cancer surgery and determined the added value of DRS when compared to clinical judgement. METHODS: DRS spectra were obtained from fat, healthy colorectal wall and tumor tissue during colorectal cancer surgery and results were compared to histopathology examination of the measurement locations. All spectra were first normalized at 800 nm, thereafter two support vector machines (SVM) were trained using a tenfold cross-validation. With the first SVM fat was separated from healthy colorectal wall and tumor tissue, the second SVM distinguished healthy colorectal wall from tumor tissue. RESULTS: Patients were included based on preoperative imaging, indicating advanced local stage colorectal cancer. Based on the measurement results of 32 patients, the classification resulted in a mean accuracy for fat, healthy colorectal wall and tumor of 0.92, 0.89 and 0.95 respectively. If the classification threshold was adjusted such that no false negatives were allowed, the percentage of false positive measurement locations by DRS was 25% compared to 69% by clinical judgement. CONCLUSION: This study shows the potential of DRS for the use of tissue classification during colorectal cancer surgery. Especially the low false positive rate obtained for a false negative rate of zero shows the added value for the surgeons. Trail registration This trail was performed under approval from the internal review board committee (Dutch Trail Register NTR5315), registered on 04/13/2015, https://www.trialregister.nl/trial/5175.
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spelling pubmed-67756502019-10-07 Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study Baltussen, E. J. M. Brouwer de Koning, S. G. Sanders, J. Aalbers, A. G. J. Kok, N. F. M. Beets, G. L. Hendriks, B. H. W. Sterenborg, H. J. C. M. Kuhlmann, K. F. D. Ruers, T. J. M. J Transl Med Research BACKGROUND: In colorectal cancer surgery there is a delicate balance between complete removal of the tumor and sparing as much healthy tissue as possible. Especially in rectal cancer, intraoperative tissue recognition could be of great benefit in preventing positive resection margins and sparing as much healthy tissue as possible. To better guide the surgeon, we evaluated the accuracy of diffuse reflectance spectroscopy (DRS) for tissue characterization during colorectal cancer surgery and determined the added value of DRS when compared to clinical judgement. METHODS: DRS spectra were obtained from fat, healthy colorectal wall and tumor tissue during colorectal cancer surgery and results were compared to histopathology examination of the measurement locations. All spectra were first normalized at 800 nm, thereafter two support vector machines (SVM) were trained using a tenfold cross-validation. With the first SVM fat was separated from healthy colorectal wall and tumor tissue, the second SVM distinguished healthy colorectal wall from tumor tissue. RESULTS: Patients were included based on preoperative imaging, indicating advanced local stage colorectal cancer. Based on the measurement results of 32 patients, the classification resulted in a mean accuracy for fat, healthy colorectal wall and tumor of 0.92, 0.89 and 0.95 respectively. If the classification threshold was adjusted such that no false negatives were allowed, the percentage of false positive measurement locations by DRS was 25% compared to 69% by clinical judgement. CONCLUSION: This study shows the potential of DRS for the use of tissue classification during colorectal cancer surgery. Especially the low false positive rate obtained for a false negative rate of zero shows the added value for the surgeons. Trail registration This trail was performed under approval from the internal review board committee (Dutch Trail Register NTR5315), registered on 04/13/2015, https://www.trialregister.nl/trial/5175. BioMed Central 2019-10-02 /pmc/articles/PMC6775650/ /pubmed/31578153 http://dx.doi.org/10.1186/s12967-019-2083-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Baltussen, E. J. M.
Brouwer de Koning, S. G.
Sanders, J.
Aalbers, A. G. J.
Kok, N. F. M.
Beets, G. L.
Hendriks, B. H. W.
Sterenborg, H. J. C. M.
Kuhlmann, K. F. D.
Ruers, T. J. M.
Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
title Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
title_full Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
title_fullStr Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
title_full_unstemmed Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
title_short Tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
title_sort tissue diagnosis during colorectal cancer surgery using optical sensing: an in vivo study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775650/
https://www.ncbi.nlm.nih.gov/pubmed/31578153
http://dx.doi.org/10.1186/s12967-019-2083-0
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