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Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins.

Publication ,  Journal Article
Bydlon, TM; Kennedy, SA; Richards, LM; Brown, JQ; Yu, B; Junker, MK; Gallagher, J; Geradts, J; Wilke, LG; Ramanujam, N
Published in: Opt Express
April 12, 2010

As many as 20-70% of patients undergoing breast conserving surgery require repeat surgeries due to a close or positive surgical margin diagnosed post-operatively [1]. Currently there are no widely accepted tools for intra-operative margin assessment which is a significant unmet clinical need. Our group has developed a first-generation optical visible spectral imaging platform to image the molecular composition of breast tumor margins and has tested it clinically in 48 patients in a previously published study [2]. The goal of this paper is to report on the performance metrics of the system and compare it to clinical criteria for intra-operative tumor margin assessment. The system was found to have an average signal to noise ratio (SNR) >100 and <15% error in the extraction of optical properties indicating that there is sufficient SNR to leverage the differences in optical properties between negative and close/positive margins. The probe had a sensing depth of 0.5-2.2 mm over the wavelength range of 450-600 nm which is consistent with the pathologic criterion for clear margins of 0-2 mm. There was <1% cross-talk between adjacent channels of the multi-channel probe which shows that multiple sites can be measured simultaneously with negligible cross-talk between adjacent sites. Lastly, the system and measurement procedure were found to be reproducible when evaluated with repeated measures, with a low coefficient of variation (<0.11). The only aspect of the system not optimized for intra-operative use was the imaging time. The manuscript includes a discussion of how the speed of the system can be improved to work within the time constraints of an intra-operative setting.

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Published In

Opt Express

DOI

EISSN

1094-4087

Publication Date

April 12, 2010

Volume

18

Issue

8

Start / End Page

8058 / 8076

Location

United States

Related Subject Headings

  • Spectrum Analysis
  • Reproducibility of Results
  • Phantoms, Imaging
  • Optics
  • Optical Devices
  • Monte Carlo Method
  • Intraoperative Care
  • Humans
  • Female
  • Diagnostic Imaging
 

Citation

APA
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ICMJE
MLA
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Bydlon, T. M., Kennedy, S. A., Richards, L. M., Brown, J. Q., Yu, B., Junker, M. K., … Ramanujam, N. (2010). Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins. Opt Express, 18(8), 8058–8076. https://doi.org/10.1364/OE.18.008058
Bydlon, Torre M., Stephanie A. Kennedy, Lisa M. Richards, J Quincy Brown, Bing Yu, Marlee K. Junker, Jennifer Gallagher, Joseph Geradts, Lee G. Wilke, and Nimmi Ramanujam. “Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins.Opt Express 18, no. 8 (April 12, 2010): 8058–76. https://doi.org/10.1364/OE.18.008058.
Bydlon TM, Kennedy SA, Richards LM, Brown JQ, Yu B, Junker MK, et al. Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins. Opt Express. 2010 Apr 12;18(8):8058–76.
Bydlon, Torre M., et al. “Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins.Opt Express, vol. 18, no. 8, Apr. 2010, pp. 8058–76. Pubmed, doi:10.1364/OE.18.008058.
Bydlon TM, Kennedy SA, Richards LM, Brown JQ, Yu B, Junker MK, Gallagher J, Geradts J, Wilke LG, Ramanujam N. Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins. Opt Express. 2010 Apr 12;18(8):8058–8076.
Journal cover image

Published In

Opt Express

DOI

EISSN

1094-4087

Publication Date

April 12, 2010

Volume

18

Issue

8

Start / End Page

8058 / 8076

Location

United States

Related Subject Headings

  • Spectrum Analysis
  • Reproducibility of Results
  • Phantoms, Imaging
  • Optics
  • Optical Devices
  • Monte Carlo Method
  • Intraoperative Care
  • Humans
  • Female
  • Diagnostic Imaging