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Margin assessment during breast conserving surgery using diffuse reflectance spectroscopy.
Veluponnar, Dinusha; de Boer, Lisanne L; Dashtbozorg, Behdad; Jong, Lynn-Jade S; Geldof, Freija; Guimaraes, Marcos Da Silva; Sterenborg, Henricus J C M; Vrancken-Peeters, Marie-Jeanne T F D; van Duijnhoven, Frederieke; Ruers, Theo.
Affiliation
  • Veluponnar D; Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
  • de Boer LL; University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands.
  • Dashtbozorg B; Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
  • Jong LS; Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
  • Geldof F; Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
  • Guimaraes MDS; University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands.
  • Sterenborg HJCM; Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Surgery, Image-Guided Surgery, Amsterdam, The Netherlands.
  • Vrancken-Peeters MTFD; University of Twente, Department of Nanobiophysics, Faculty of Science and Technology, Enschede, The Netherlands.
  • van Duijnhoven F; Netherlands Cancer Institute, Antoni van Leeuwenhoek, Department of Pathology, Amsterdam, The Netherlands.
  • Ruers T; Amsterdam University Medical Center, Department of Biomedical Engineering and Physics, Amsterdam, The Netherlands.
J Biomed Opt ; 29(4): 045006, 2024 Apr.
Article in En | MEDLINE | ID: mdl-38665316
ABSTRACT

Significance:

During breast-conserving surgeries, it is essential to evaluate the resection margins (edges of breast specimen) to determine whether the tumor has been removed completely. In current surgical practice, there are no methods available to aid in accurate real-time margin evaluation.

Aim:

In this study, we investigated the diagnostic accuracy of diffuse reflectance spectroscopy (DRS) combined with tissue classification models in discriminating tumorous tissue from healthy tissue up to 2 mm in depth on the actual resection margin of in vivo breast tissue.

Approach:

We collected an extensive dataset of DRS measurements on ex vivo breast tissue and in vivo breast tissue, which we used to develop different classification models for tissue classification. Next, these models were used in vivo to evaluate the performance of DRS for tissue discrimination during breast conserving surgery. We investigated which training strategy yielded optimum results for the classification model with the highest performance.

Results:

We achieved a Matthews correlation coefficient of 0.76, a sensitivity of 96.7% (95% CI 95.6% to 98.2%), a specificity of 90.6% (95% CI 86.3% to 97.9%) and an area under the curve of 0.98 by training the optimum model on a combination of ex vivo and in vivo DRS data.

Conclusions:

DRS allows real-time margin assessment with a high sensitivity and specificity during breast-conserving surgeries.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis / Breast / Breast Neoplasms / Mastectomy, Segmental / Margins of Excision Limits: Female / Humans Language: En Journal: J Biomed Opt Journal subject: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Spectrum Analysis / Breast / Breast Neoplasms / Mastectomy, Segmental / Margins of Excision Limits: Female / Humans Language: En Journal: J Biomed Opt Journal subject: ENGENHARIA BIOMEDICA / OFTALMOLOGIA Year: 2024 Document type: Article Affiliation country: Country of publication: