Raman spectroscopy reveals biophysical markers in skin cancer surgical margins

Xu Feng, Austin J. Moy, Hieu T.M. Nguyen, Yao Zhang, Matthew C. Fox, Katherine R. Sebastian, Jason S. Reichenberg, Mia K. Markey, James W. Tunnell

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The recurrence rate of nonmelanoma skin cancer is highly related to the residual tumor after surgery. Although tissueconserving surgery, such as Mohs surgery, is a standard method for the treatment of nonmelanoma skin cancer, they are limited by lengthy and costly frozen-section histopathology. Raman spectroscopy (RS) is proving to be an objective, sensitive, and non-destructive tool for detecting skin cancer. Previous studies demonstrated the high sensitivity of RS in detecting tumor margins of basal cell carcinoma (BCC). However, those studies rely on statistical classification models and do not elucidate the skin biophysical composition. As a result, we aim to discover the biophysical differences between BCC and primary normal skin structures (including epidermis, dermis, hair follicle, sebaceous gland and fat). We obtained freshly resected ex vivo skin samples from fresh resection specimens from 14 patients undergoing Mohs surgery. Raman images were acquired from regions containing one or more structures using a custom built 830nm confocal Raman microscope. The spectra were grouped using K-means clustering analysis and annotated as either BCC or each of the five normal structures by comparing with the histopathology image of the serial section. The spectral data were then fit by a previously established biophysical model with eight primary skin constituents. Our results show that BCC has significant differences in the fit coefficients of nucleus, collagen, triolein, keratin and elastin compared with normal structures. Our study reveals RS has the potential to detect biophysical changes in resection margins, and supports the development of diagnostic algorithms for future intraoperative implementation of RS during Mohs surgery.

Original languageEnglish (US)
Title of host publicationBiomedical Vibrational Spectroscopy 2018
Subtitle of host publicationAdvances in Research and Industry
EditorsAnita Mahadevan-Jansen, Wolfgang Petrich
PublisherSPIE
ISBN (Electronic)9781510614659
DOIs
StatePublished - Jan 1 2018
EventBiomedical Vibrational Spectroscopy 2018: Advances in Research and Industry - San Francisco, United States
Duration: Jan 27 2018Jan 28 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10490
ISSN (Print)1605-7422

Conference

ConferenceBiomedical Vibrational Spectroscopy 2018: Advances in Research and Industry
CountryUnited States
CitySan Francisco
Period1/27/181/28/18

Fingerprint

Raman Spectrum Analysis
Basal Cell Carcinoma
Skin Neoplasms
Mohs Surgery
markers
Raman spectroscopy
margins
Skin
cancer
surgery
Surgery
Triolein
Sebaceous Glands
Hair Follicle
Elastin
Residual Neoplasm
Frozen Sections
Statistical Models
Dermis
Keratins

Keywords

  • Basal cell carcinoma
  • Biophysical model
  • Margin detection
  • Raman imaging
  • Raman spectroscopy
  • Skin cancer

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

Cite this

Feng, X., Moy, A. J., Nguyen, H. T. M., Zhang, Y., Fox, M. C., Sebastian, K. R., ... Tunnell, J. W. (2018). Raman spectroscopy reveals biophysical markers in skin cancer surgical margins. In A. Mahadevan-Jansen, & W. Petrich (Eds.), Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry [104900B] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10490). SPIE. https://doi.org/10.1117/12.2288591

Raman spectroscopy reveals biophysical markers in skin cancer surgical margins. / Feng, Xu; Moy, Austin J.; Nguyen, Hieu T.M.; Zhang, Yao; Fox, Matthew C.; Sebastian, Katherine R.; Reichenberg, Jason S.; Markey, Mia K.; Tunnell, James W.

Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry. ed. / Anita Mahadevan-Jansen; Wolfgang Petrich. SPIE, 2018. 104900B (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10490).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feng, X, Moy, AJ, Nguyen, HTM, Zhang, Y, Fox, MC, Sebastian, KR, Reichenberg, JS, Markey, MK & Tunnell, JW 2018, Raman spectroscopy reveals biophysical markers in skin cancer surgical margins. in A Mahadevan-Jansen & W Petrich (eds), Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry., 104900B, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10490, SPIE, Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry, San Francisco, United States, 1/27/18. https://doi.org/10.1117/12.2288591
Feng X, Moy AJ, Nguyen HTM, Zhang Y, Fox MC, Sebastian KR et al. Raman spectroscopy reveals biophysical markers in skin cancer surgical margins. In Mahadevan-Jansen A, Petrich W, editors, Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry. SPIE. 2018. 104900B. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2288591
Feng, Xu ; Moy, Austin J. ; Nguyen, Hieu T.M. ; Zhang, Yao ; Fox, Matthew C. ; Sebastian, Katherine R. ; Reichenberg, Jason S. ; Markey, Mia K. ; Tunnell, James W. / Raman spectroscopy reveals biophysical markers in skin cancer surgical margins. Biomedical Vibrational Spectroscopy 2018: Advances in Research and Industry. editor / Anita Mahadevan-Jansen ; Wolfgang Petrich. SPIE, 2018. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
@inproceedings{54e91acb13ed406bb081f97bfa0952ad,
title = "Raman spectroscopy reveals biophysical markers in skin cancer surgical margins",
abstract = "The recurrence rate of nonmelanoma skin cancer is highly related to the residual tumor after surgery. Although tissueconserving surgery, such as Mohs surgery, is a standard method for the treatment of nonmelanoma skin cancer, they are limited by lengthy and costly frozen-section histopathology. Raman spectroscopy (RS) is proving to be an objective, sensitive, and non-destructive tool for detecting skin cancer. Previous studies demonstrated the high sensitivity of RS in detecting tumor margins of basal cell carcinoma (BCC). However, those studies rely on statistical classification models and do not elucidate the skin biophysical composition. As a result, we aim to discover the biophysical differences between BCC and primary normal skin structures (including epidermis, dermis, hair follicle, sebaceous gland and fat). We obtained freshly resected ex vivo skin samples from fresh resection specimens from 14 patients undergoing Mohs surgery. Raman images were acquired from regions containing one or more structures using a custom built 830nm confocal Raman microscope. The spectra were grouped using K-means clustering analysis and annotated as either BCC or each of the five normal structures by comparing with the histopathology image of the serial section. The spectral data were then fit by a previously established biophysical model with eight primary skin constituents. Our results show that BCC has significant differences in the fit coefficients of nucleus, collagen, triolein, keratin and elastin compared with normal structures. Our study reveals RS has the potential to detect biophysical changes in resection margins, and supports the development of diagnostic algorithms for future intraoperative implementation of RS during Mohs surgery.",
keywords = "Basal cell carcinoma, Biophysical model, Margin detection, Raman imaging, Raman spectroscopy, Skin cancer",
author = "Xu Feng and Moy, {Austin J.} and Nguyen, {Hieu T.M.} and Yao Zhang and Fox, {Matthew C.} and Sebastian, {Katherine R.} and Reichenberg, {Jason S.} and Markey, {Mia K.} and Tunnell, {James W.}",
year = "2018",
month = "1",
day = "1",
doi = "10.1117/12.2288591",
language = "English (US)",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Anita Mahadevan-Jansen and Wolfgang Petrich",
booktitle = "Biomedical Vibrational Spectroscopy 2018",
address = "United States",

}

TY - GEN

T1 - Raman spectroscopy reveals biophysical markers in skin cancer surgical margins

AU - Feng, Xu

AU - Moy, Austin J.

AU - Nguyen, Hieu T.M.

AU - Zhang, Yao

AU - Fox, Matthew C.

AU - Sebastian, Katherine R.

AU - Reichenberg, Jason S.

AU - Markey, Mia K.

AU - Tunnell, James W.

PY - 2018/1/1

Y1 - 2018/1/1

N2 - The recurrence rate of nonmelanoma skin cancer is highly related to the residual tumor after surgery. Although tissueconserving surgery, such as Mohs surgery, is a standard method for the treatment of nonmelanoma skin cancer, they are limited by lengthy and costly frozen-section histopathology. Raman spectroscopy (RS) is proving to be an objective, sensitive, and non-destructive tool for detecting skin cancer. Previous studies demonstrated the high sensitivity of RS in detecting tumor margins of basal cell carcinoma (BCC). However, those studies rely on statistical classification models and do not elucidate the skin biophysical composition. As a result, we aim to discover the biophysical differences between BCC and primary normal skin structures (including epidermis, dermis, hair follicle, sebaceous gland and fat). We obtained freshly resected ex vivo skin samples from fresh resection specimens from 14 patients undergoing Mohs surgery. Raman images were acquired from regions containing one or more structures using a custom built 830nm confocal Raman microscope. The spectra were grouped using K-means clustering analysis and annotated as either BCC or each of the five normal structures by comparing with the histopathology image of the serial section. The spectral data were then fit by a previously established biophysical model with eight primary skin constituents. Our results show that BCC has significant differences in the fit coefficients of nucleus, collagen, triolein, keratin and elastin compared with normal structures. Our study reveals RS has the potential to detect biophysical changes in resection margins, and supports the development of diagnostic algorithms for future intraoperative implementation of RS during Mohs surgery.

AB - The recurrence rate of nonmelanoma skin cancer is highly related to the residual tumor after surgery. Although tissueconserving surgery, such as Mohs surgery, is a standard method for the treatment of nonmelanoma skin cancer, they are limited by lengthy and costly frozen-section histopathology. Raman spectroscopy (RS) is proving to be an objective, sensitive, and non-destructive tool for detecting skin cancer. Previous studies demonstrated the high sensitivity of RS in detecting tumor margins of basal cell carcinoma (BCC). However, those studies rely on statistical classification models and do not elucidate the skin biophysical composition. As a result, we aim to discover the biophysical differences between BCC and primary normal skin structures (including epidermis, dermis, hair follicle, sebaceous gland and fat). We obtained freshly resected ex vivo skin samples from fresh resection specimens from 14 patients undergoing Mohs surgery. Raman images were acquired from regions containing one or more structures using a custom built 830nm confocal Raman microscope. The spectra were grouped using K-means clustering analysis and annotated as either BCC or each of the five normal structures by comparing with the histopathology image of the serial section. The spectral data were then fit by a previously established biophysical model with eight primary skin constituents. Our results show that BCC has significant differences in the fit coefficients of nucleus, collagen, triolein, keratin and elastin compared with normal structures. Our study reveals RS has the potential to detect biophysical changes in resection margins, and supports the development of diagnostic algorithms for future intraoperative implementation of RS during Mohs surgery.

KW - Basal cell carcinoma

KW - Biophysical model

KW - Margin detection

KW - Raman imaging

KW - Raman spectroscopy

KW - Skin cancer

UR - http://www.scopus.com/inward/record.url?scp=85047647397&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85047647397&partnerID=8YFLogxK

U2 - 10.1117/12.2288591

DO - 10.1117/12.2288591

M3 - Conference contribution

AN - SCOPUS:85047647397

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Biomedical Vibrational Spectroscopy 2018

A2 - Mahadevan-Jansen, Anita

A2 - Petrich, Wolfgang

PB - SPIE

ER -