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

Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins.
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DOI:
10.1364/oe.18.008058
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发表时间:
2010-04-12
期刊:
影响因子:
3.8
通讯作者:
Ramanujam N
Ramanujam N
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Bydlon TM;Kennedy SA;Richards LM;Brown JQ;Yu B;Junker MK;Gallagher J;Geradts J;Wilke LG;Ramanujam N

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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.