Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery. / Shipp, Dustin W.; Rakha, Emad; Koloydenko, Alexey A.; Macmillan, R.D.; Ellis, Ian; Notingher, Ioan.

In: Breast Cancer Research, Vol. 20, 69, 09.07.2018, p. 1-14.

Research output: Contribution to journalArticle

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Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery. / Shipp, Dustin W.; Rakha, Emad; Koloydenko, Alexey A.; Macmillan, R.D.; Ellis, Ian; Notingher, Ioan.

In: Breast Cancer Research, Vol. 20, 69, 09.07.2018, p. 1-14.

Research output: Contribution to journalArticle

Harvard

Shipp, DW, Rakha, E, Koloydenko, AA, Macmillan, RD, Ellis, I & Notingher, I 2018, 'Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery', Breast Cancer Research, vol. 20, 69, pp. 1-14. https://doi.org/10.1186/s13058-018-1002-2

APA

Shipp, D. W., Rakha, E., Koloydenko, A. A., Macmillan, R. D., Ellis, I., & Notingher, I. (2018). Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery. Breast Cancer Research, 20, 1-14. [69]. https://doi.org/10.1186/s13058-018-1002-2

Vancouver

Shipp DW, Rakha E, Koloydenko AA, Macmillan RD, Ellis I, Notingher I. Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery. Breast Cancer Research. 2018 Jul 9;20:1-14. 69. https://doi.org/10.1186/s13058-018-1002-2

Author

Shipp, Dustin W. ; Rakha, Emad ; Koloydenko, Alexey A. ; Macmillan, R.D. ; Ellis, Ian ; Notingher, Ioan. / Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery. In: Breast Cancer Research. 2018 ; Vol. 20. pp. 1-14.

BibTeX

@article{ae996d610f1d4458b08a731d8db635bc,
title = "Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery",
abstract = "Background: In over 20{\%} of breast conserving operations, postoperative pathological assessment of the excised tissue reveals positive margins, requiring additional surgery. Current techniques for intra-operative assessment of tumor margins are insufficient in accuracy or resolution to reliably detect small tumors. There is a distinct need for a fast technique to accurately identify tumors smaller than 1 mm2 in large tissue surfaces within 30 min.Methods: Multi-modal spectral histopathology (MSH), a multimodal imaging technique combining tissue auto-fluorescence and Raman spectroscopy was used to detect microscopic residual tumor at the surface of the excised breast tissue. New algorithms were developed to optimally utilize auto-fluorescence images to guide Raman measurements and achieve the required detection accuracy over large tissue surfaces (up to 4×6.5 cm2). Algorithms were trained on 91 breast tissue samples from 65 patients.Results: Independent tests on 121 samples from 107 patients - including 51 fresh, whole excision specimens - detected breast carcinoma on the tissue surface with 95{\%} sensitivity and 82{\%} specificity. One surface of eachuncut excision specimen was measured in 12–24 min. The combination of high spatial-resolution autofluorescence with specific diagnosis by Raman spectroscopy allows reliable detection even for invasive carcinoma or ductal carcinoma in situ smaller than 1 mm2.Conclusions: This study provides evidence that this multimodal approach could provide an objective tool for intra-operative assessment of breast conserving surgery margins, reducing the risk for unnecessary second operations.",
keywords = "Auto-fluorescence, Breast cancer, Raman spectroscopy, Intra-operative margin evaluation",
author = "Shipp, {Dustin W.} and Emad Rakha and Koloydenko, {Alexey A.} and R.D. Macmillan and Ian Ellis and Ioan Notingher",
year = "2018",
month = "7",
day = "9",
doi = "10.1186/s13058-018-1002-2",
language = "English",
volume = "20",
pages = "1--14",
journal = "Breast Cancer Research",
issn = "1465-542X",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Intra-operative spectroscopic assessment of surgical margins during breast conserving surgery

AU - Shipp, Dustin W.

AU - Rakha, Emad

AU - Koloydenko, Alexey A.

AU - Macmillan, R.D.

AU - Ellis, Ian

AU - Notingher, Ioan

PY - 2018/7/9

Y1 - 2018/7/9

N2 - Background: In over 20% of breast conserving operations, postoperative pathological assessment of the excised tissue reveals positive margins, requiring additional surgery. Current techniques for intra-operative assessment of tumor margins are insufficient in accuracy or resolution to reliably detect small tumors. There is a distinct need for a fast technique to accurately identify tumors smaller than 1 mm2 in large tissue surfaces within 30 min.Methods: Multi-modal spectral histopathology (MSH), a multimodal imaging technique combining tissue auto-fluorescence and Raman spectroscopy was used to detect microscopic residual tumor at the surface of the excised breast tissue. New algorithms were developed to optimally utilize auto-fluorescence images to guide Raman measurements and achieve the required detection accuracy over large tissue surfaces (up to 4×6.5 cm2). Algorithms were trained on 91 breast tissue samples from 65 patients.Results: Independent tests on 121 samples from 107 patients - including 51 fresh, whole excision specimens - detected breast carcinoma on the tissue surface with 95% sensitivity and 82% specificity. One surface of eachuncut excision specimen was measured in 12–24 min. The combination of high spatial-resolution autofluorescence with specific diagnosis by Raman spectroscopy allows reliable detection even for invasive carcinoma or ductal carcinoma in situ smaller than 1 mm2.Conclusions: This study provides evidence that this multimodal approach could provide an objective tool for intra-operative assessment of breast conserving surgery margins, reducing the risk for unnecessary second operations.

AB - Background: In over 20% of breast conserving operations, postoperative pathological assessment of the excised tissue reveals positive margins, requiring additional surgery. Current techniques for intra-operative assessment of tumor margins are insufficient in accuracy or resolution to reliably detect small tumors. There is a distinct need for a fast technique to accurately identify tumors smaller than 1 mm2 in large tissue surfaces within 30 min.Methods: Multi-modal spectral histopathology (MSH), a multimodal imaging technique combining tissue auto-fluorescence and Raman spectroscopy was used to detect microscopic residual tumor at the surface of the excised breast tissue. New algorithms were developed to optimally utilize auto-fluorescence images to guide Raman measurements and achieve the required detection accuracy over large tissue surfaces (up to 4×6.5 cm2). Algorithms were trained on 91 breast tissue samples from 65 patients.Results: Independent tests on 121 samples from 107 patients - including 51 fresh, whole excision specimens - detected breast carcinoma on the tissue surface with 95% sensitivity and 82% specificity. One surface of eachuncut excision specimen was measured in 12–24 min. The combination of high spatial-resolution autofluorescence with specific diagnosis by Raman spectroscopy allows reliable detection even for invasive carcinoma or ductal carcinoma in situ smaller than 1 mm2.Conclusions: This study provides evidence that this multimodal approach could provide an objective tool for intra-operative assessment of breast conserving surgery margins, reducing the risk for unnecessary second operations.

KW - Auto-fluorescence, Breast cancer, Raman spectroscopy, Intra-operative margin evaluation

U2 - 10.1186/s13058-018-1002-2

DO - 10.1186/s13058-018-1002-2

M3 - Article

VL - 20

SP - 1

EP - 14

JO - Breast Cancer Research

JF - Breast Cancer Research

SN - 1465-542X

M1 - 69

ER -