Skip to main content
Top
Published in: Breast Cancer Research and Treatment 1/2013

01-01-2013 | Preclinical study

Diffuse reflectance spectroscopy: towards clinical application in breast cancer

Authors: Daniel J. Evers, Rami Nachabe, Marie-Jeanne Vranken Peeters, Jos A. van der Hage, Hester S. Oldenburg, Emiel J. Rutgers, Gerald W. Lucassen, Benno H. W. Hendriks, Jelle Wesseling, Theo J. M. Ruers

Published in: Breast Cancer Research and Treatment | Issue 1/2013

Login to get access

Abstract

Diffuse reflectance spectroscopy (DRS) is a promising new technique for breast cancer diagnosis. However, inter-patient variation due to breast tissue heterogeneity may interfere with the accuracy of this technique. To tackle this issue, we aim to determine the diagnostic accuracy of DRS in individual patients. With this approach, DRS measurements of normal breast tissue in every individual patient are directly compared with measurements of the suspected malignant tissue. Breast tissue from 47 female patients was analysed ex vivo by DRS. A total of 1,073 optical spectra were collected. These spectra were analyzed for each patient individually as well as for all patients collectively and results were compared to the pathology analyses. Collective patient data analysis for discrimination between normal and malignant breast tissue resulted in a sensitivity of 90 %, a specificity of 88 %, and an overall accuracy of 89 %. In the individual analyses all measurements per patient were categorized as either benign or malignant. The discriminative accuracy of these individual analyses was nearly 100 %. The diagnosis was classified as uncertain in only one patient. Based on the results presented in this study, we conclude that the analysis of optical characteristics of different tissue classes within the breast of a single patient is superior to an analysis using the results of a cohort data analysis. When integrated into a biopsy device, our results demonstrate that DRS may have the potential to improve the diagnostic workflow in breast cancer.
Literature
1.
go back to reference Gioux S, Choi H, Frangioni J (2010) Image-guided surgery using invisible near-infrared light: fundamentals of clinical translation. Mol Imaging 9(5):237–255PubMed Gioux S, Choi H, Frangioni J (2010) Image-guided surgery using invisible near-infrared light: fundamentals of clinical translation. Mol Imaging 9(5):237–255PubMed
2.
go back to reference Keereweer S, Kerrebijn J, van Driel P, Xie B, Kaijzel E, Snoeks T, Que I, Hutteman M, van der Vorst J, Mieog J, Vahrmeijer A, van de Velde C, Baatenburg de Jong R, Löwik C (2011) Optical image-guided surgery—where do we stand? Mol Imaging Biol 13(2):199–207PubMedCrossRef Keereweer S, Kerrebijn J, van Driel P, Xie B, Kaijzel E, Snoeks T, Que I, Hutteman M, van der Vorst J, Mieog J, Vahrmeijer A, van de Velde C, Baatenburg de Jong R, Löwik C (2011) Optical image-guided surgery—where do we stand? Mol Imaging Biol 13(2):199–207PubMedCrossRef
3.
go back to reference Brown J, Vishwanath K, Palmer G, Ramanujam N (2009) Advances in quantitative UV-visible spectroscopy for clinical and pre-clinical application in cancer. Curr Opin Biotechnol 20(1):119–131PubMedCrossRef Brown J, Vishwanath K, Palmer G, Ramanujam N (2009) Advances in quantitative UV-visible spectroscopy for clinical and pre-clinical application in cancer. Curr Opin Biotechnol 20(1):119–131PubMedCrossRef
4.
go back to reference Sćepanović O, Volynskaya Z, Kong C, Galindo L, Dasari R, Feld M (2009) A multimodal spectroscopy system for real-time disease diagnosis. Rev Sci Instrum 80(4):043103PubMedCrossRef Sćepanović O, Volynskaya Z, Kong C, Galindo L, Dasari R, Feld M (2009) A multimodal spectroscopy system for real-time disease diagnosis. Rev Sci Instrum 80(4):043103PubMedCrossRef
5.
go back to reference Zhu C, Palmer G, Breslin T, Harter J, Ramanujam N (2008) Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach. J Biomed Opt 13(3):034015PubMedCrossRef Zhu C, Palmer G, Breslin T, Harter J, Ramanujam N (2008) Diagnosis of breast cancer using fluorescence and diffuse reflectance spectroscopy: a Monte-Carlo-model-based approach. J Biomed Opt 13(3):034015PubMedCrossRef
6.
go back to reference Ariga R, Bloom K, Reddy V, Kluskens L, Francescatti D, Dowlat K, Siziopikou P, Gattuso P (2002) Fine-needle aspiration of clinically suspicious palpable breast masses with histopathologic correlation. Am J Surg 184(5):410–413PubMedCrossRef Ariga R, Bloom K, Reddy V, Kluskens L, Francescatti D, Dowlat K, Siziopikou P, Gattuso P (2002) Fine-needle aspiration of clinically suspicious palpable breast masses with histopathologic correlation. Am J Surg 184(5):410–413PubMedCrossRef
7.
go back to reference Burns R, Brown J, Roe S, Sprouse L, Yancey A, Witherspoon L (2000) Stereotactic core-needle breast biopsy by surgeons: minimum 2-year follow-up of benign lesions. Ann Surg 232(4):542–548PubMedCrossRef Burns R, Brown J, Roe S, Sprouse L, Yancey A, Witherspoon L (2000) Stereotactic core-needle breast biopsy by surgeons: minimum 2-year follow-up of benign lesions. Ann Surg 232(4):542–548PubMedCrossRef
8.
go back to reference Chaiwun B, Settakorn J, Ya-In C, Wisedmongkol W, Rangdaeng S, Thorner P (2002) Effectiveness of fine-needle aspiration cytology of breast: analysis of 2,375 cases from northern Thailand. Diagn Cytopathol 26(3):201–205PubMedCrossRef Chaiwun B, Settakorn J, Ya-In C, Wisedmongkol W, Rangdaeng S, Thorner P (2002) Effectiveness of fine-needle aspiration cytology of breast: analysis of 2,375 cases from northern Thailand. Diagn Cytopathol 26(3):201–205PubMedCrossRef
9.
go back to reference Youk J, Kim E, Kim M, Lee J, Oh K (2007) Missed breast cancers at US-guided core needle biopsy: how to reduce them. Radiographics 27(1):79–94PubMedCrossRef Youk J, Kim E, Kim M, Lee J, Oh K (2007) Missed breast cancers at US-guided core needle biopsy: how to reduce them. Radiographics 27(1):79–94PubMedCrossRef
10.
go back to reference Kennedy S, Geradts J, Bydlon T, Brown J, Gallagher J, Junker M, Barry W, Ramanujam N, Wilke L (2010) Optical breast cancer margin assessment: an observational study of the effects of tissue heterogeneity on optical contrast. Breast Cancer Res Treat 12(6):R91 Kennedy S, Geradts J, Bydlon T, Brown J, Gallagher J, Junker M, Barry W, Ramanujam N, Wilke L (2010) Optical breast cancer margin assessment: an observational study of the effects of tissue heterogeneity on optical contrast. Breast Cancer Res Treat 12(6):R91
11.
go back to reference Vishwanath K, Yuan H, Barry W, Dewhirst M, Ramanujam N (2009) Using optical spectroscopy to longitudinally monitor physiological changes within solid tumors. Neoplasia 11(9):889–900PubMed Vishwanath K, Yuan H, Barry W, Dewhirst M, Ramanujam N (2009) Using optical spectroscopy to longitudinally monitor physiological changes within solid tumors. Neoplasia 11(9):889–900PubMed
12.
go back to reference Volynskaya Z, Haka A, Bechtel K, Fitzmaurice M, Shenk R, Wang N, Nazemi J, Dasari R, Feld M (2008) Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy. J Biomed Opt 13(2):024012PubMedCrossRef Volynskaya Z, Haka A, Bechtel K, Fitzmaurice M, Shenk R, Wang N, Nazemi J, Dasari R, Feld M (2008) Diagnosing breast cancer using diffuse reflectance spectroscopy and intrinsic fluorescence spectroscopy. J Biomed Opt 13(2):024012PubMedCrossRef
13.
go back to reference Keller M, Majumder S, Kelley M, Meszoely I, Boulos F, Olivares G, Mahadevan-Jansen A (2010) Autofluorescence and diffuse reflectance spectroscopy and spectral imaging for breast surgical margin analysis. Lasers Surg Med 42(1):15–23PubMedCrossRef Keller M, Majumder S, Kelley M, Meszoely I, Boulos F, Olivares G, Mahadevan-Jansen A (2010) Autofluorescence and diffuse reflectance spectroscopy and spectral imaging for breast surgical margin analysis. Lasers Surg Med 42(1):15–23PubMedCrossRef
14.
go back to reference Brown J, Wilke L, Geradts J, Kennedy S, Palmer G, Ramanujam N (2009) Quantitative optical spectroscopy: a robust tool for direct measurement of breast cancer vascular oxygenation and total hemoglobin content in vivo. Cancer Res 69(7):2919–2926PubMedCrossRef Brown J, Wilke L, Geradts J, Kennedy S, Palmer G, Ramanujam N (2009) Quantitative optical spectroscopy: a robust tool for direct measurement of breast cancer vascular oxygenation and total hemoglobin content in vivo. Cancer Res 69(7):2919–2926PubMedCrossRef
15.
go back to reference Zhu C, Palmer G, Breslin T, Harter J, Ramanujam N (2006) Diagnosis of breast cancer using diffuse reflectance spectroscopy: comparison of a Monte Carlo versus partial least squares analysis based feature extraction technique. Lasers Surg Med 38(7):714–724PubMedCrossRef Zhu C, Palmer G, Breslin T, Harter J, Ramanujam N (2006) Diagnosis of breast cancer using diffuse reflectance spectroscopy: comparison of a Monte Carlo versus partial least squares analysis based feature extraction technique. Lasers Surg Med 38(7):714–724PubMedCrossRef
16.
go back to reference Bigio I, Bown S, Briggs G, Kelley C, Lakhani S, Pickard D, Ripley P, Rose I, Saunders C (2000) Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results. J Biomed Opt 5(2):221–228PubMedCrossRef Bigio I, Bown S, Briggs G, Kelley C, Lakhani S, Pickard D, Ripley P, Rose I, Saunders C (2000) Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results. J Biomed Opt 5(2):221–228PubMedCrossRef
17.
go back to reference Breslin T, Xu F, Palmer G, Zhu C, Gilchrist K, Ramanujam N (2004) Autofluorescence and diffuse reflectance properties of malignant and benign breast tissues. Ann Surg Oncol 11(1):65–70PubMedCrossRef Breslin T, Xu F, Palmer G, Zhu C, Gilchrist K, Ramanujam N (2004) Autofluorescence and diffuse reflectance properties of malignant and benign breast tissues. Ann Surg Oncol 11(1):65–70PubMedCrossRef
18.
go back to reference Nachabé R, Hendriks B, van der Voort M, Desjardins A, Sterenborg H (2010) Estimation of biological chromophores using diffuse optical spectroscopy: benefit of extending the UV–VIS wavelength range to include 1000 to 1600 nm. Biomed Optics Express 18(24):1432–1442CrossRef Nachabé R, Hendriks B, van der Voort M, Desjardins A, Sterenborg H (2010) Estimation of biological chromophores using diffuse optical spectroscopy: benefit of extending the UV–VIS wavelength range to include 1000 to 1600 nm. Biomed Optics Express 18(24):1432–1442CrossRef
19.
go back to reference Nachabé R, Hendriks B, Desjardins A, van der Voort M, van der Mark M, Sterenborg H (2010) Estimation of lipid and water concentrations in scattering media with diffuse optical spectroscopy from 900 to 1,600 nm. J Biomed Opt 15(3):037015PubMedCrossRef Nachabé R, Hendriks B, Desjardins A, van der Voort M, van der Mark M, Sterenborg H (2010) Estimation of lipid and water concentrations in scattering media with diffuse optical spectroscopy from 900 to 1,600 nm. J Biomed Opt 15(3):037015PubMedCrossRef
20.
go back to reference Nachabé R, Evers D, Hendriks B, Lucassen G, van der Voort M, Rutgers E, Vrancken Peeters M, van der Hage J, Oldenburg H, Wesseling J, Ruers T (2011) Diagnosis of breast cancer using diffuse optical spectroscopy from 500 to 1600 nm: a comparison of classification methods. J Biomed Opt 16(8):087010PubMedCrossRef Nachabé R, Evers D, Hendriks B, Lucassen G, van der Voort M, Rutgers E, Vrancken Peeters M, van der Hage J, Oldenburg H, Wesseling J, Ruers T (2011) Diagnosis of breast cancer using diffuse optical spectroscopy from 500 to 1600 nm: a comparison of classification methods. J Biomed Opt 16(8):087010PubMedCrossRef
21.
go back to reference Nachabé R, Evers D, Hendriks B, Lucassen G, van der Voort M, Wesseling J, Ruers T (2011) Effect of bile absorption coefficients on the estimation of liver tissue optical properties and related complications in discriminating healthy and tumorous samples. Biomed Optics Express 2(3):600–614CrossRef Nachabé R, Evers D, Hendriks B, Lucassen G, van der Voort M, Wesseling J, Ruers T (2011) Effect of bile absorption coefficients on the estimation of liver tissue optical properties and related complications in discriminating healthy and tumorous samples. Biomed Optics Express 2(3):600–614CrossRef
22.
go back to reference Zonios G, Perelman L, Backman V, Manoharan R, Fitzmaurice M, Van Dam J, Feld M (1999) Diffuse reflectance spectroscopy of human adenomatous colon polyps in vivo. Appl Opt 38(31):6628–6637PubMedCrossRef Zonios G, Perelman L, Backman V, Manoharan R, Fitzmaurice M, Van Dam J, Feld M (1999) Diffuse reflectance spectroscopy of human adenomatous colon polyps in vivo. Appl Opt 38(31):6628–6637PubMedCrossRef
23.
go back to reference Farrell T, Patterson M, Wilson B (1992) A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. Med Phys 19(4):879–888PubMedCrossRef Farrell T, Patterson M, Wilson B (1992) A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo. Med Phys 19(4):879–888PubMedCrossRef
24.
go back to reference Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Statistics/probability series. Wadsworth Publishing Company, Belmont, CA Breiman L, Friedman J, Olshen R, Stone C (1984) Classification and regression trees. Statistics/probability series. Wadsworth Publishing Company, Belmont, CA
25.
go back to reference Kruskal W, Wallis W (1952) Use of ranks in one-criterion variance analysis. J Am Stat Assoc 47(260):583–621CrossRef Kruskal W, Wallis W (1952) Use of ranks in one-criterion variance analysis. J Am Stat Assoc 47(260):583–621CrossRef
26.
go back to reference Zhu C, Breslin T, Harter J, Ramanujam N (2008) Model based and empirical spectral analysis for the diagnosis of breast cancer. Biomed Opt Express 16(19):14961–14978 Zhu C, Breslin T, Harter J, Ramanujam N (2008) Model based and empirical spectral analysis for the diagnosis of breast cancer. Biomed Opt Express 16(19):14961–14978
27.
go back to reference Majumder S, Keller M, Boulos F, Kelley M, Mahadevan-Jansen A (2008) Comparison of autofluorescence, diffuse reflectance, and Raman spectroscopy for breast tissue discrimination. J Biomed Opt 13(5):054009PubMedCrossRef Majumder S, Keller M, Boulos F, Kelley M, Mahadevan-Jansen A (2008) Comparison of autofluorescence, diffuse reflectance, and Raman spectroscopy for breast tissue discrimination. J Biomed Opt 13(5):054009PubMedCrossRef
28.
go back to reference Laughney A, Krishnaswamy V, Garcia-Allende P, Conde O, Wells W, Paulsen K, Pogue B (2010) Automated classification of breast pathology using local measures of broadband reflectance. J Biomed Opt 15(6):066019PubMedCrossRef Laughney A, Krishnaswamy V, Garcia-Allende P, Conde O, Wells W, Paulsen K, Pogue B (2010) Automated classification of breast pathology using local measures of broadband reflectance. J Biomed Opt 15(6):066019PubMedCrossRef
29.
go back to reference Taroni P, Bassi A, Comelli D, Farina A, Cubeddu R, Pifferi A (2009) Diffuse optical spectroscopy of breast tissue extended to 1100 nm. J Biomed Opt 14(5):054030PubMedCrossRef Taroni P, Bassi A, Comelli D, Farina A, Cubeddu R, Pifferi A (2009) Diffuse optical spectroscopy of breast tissue extended to 1100 nm. J Biomed Opt 14(5):054030PubMedCrossRef
30.
go back to reference Taroni P, Comelli D, Pifferi A, Torricelli A, Cubeddu R (2007) Absorption of collagen: effects on the estimate of breast composition and related diagnostic implications. J Biomed Opt 12(1):014021PubMedCrossRef Taroni P, Comelli D, Pifferi A, Torricelli A, Cubeddu R (2007) Absorption of collagen: effects on the estimate of breast composition and related diagnostic implications. J Biomed Opt 12(1):014021PubMedCrossRef
31.
go back to reference Taroni P, Pifferi A, Quarto G, Spinelli L, Torricelli A, Abbate F, Villa A, Balestreri N, Menna S, Cassano E, Cubeddu R (2010) Noninvasive assessment of breast cancer risk using time-resolved diffuse optical spectroscopy. J Biomed Opt 15(6):060501PubMedCrossRef Taroni P, Pifferi A, Quarto G, Spinelli L, Torricelli A, Abbate F, Villa A, Balestreri N, Menna S, Cassano E, Cubeddu R (2010) Noninvasive assessment of breast cancer risk using time-resolved diffuse optical spectroscopy. J Biomed Opt 15(6):060501PubMedCrossRef
Metadata
Title
Diffuse reflectance spectroscopy: towards clinical application in breast cancer
Authors
Daniel J. Evers
Rami Nachabe
Marie-Jeanne Vranken Peeters
Jos A. van der Hage
Hester S. Oldenburg
Emiel J. Rutgers
Gerald W. Lucassen
Benno H. W. Hendriks
Jelle Wesseling
Theo J. M. Ruers
Publication date
01-01-2013
Publisher
Springer US
Published in
Breast Cancer Research and Treatment / Issue 1/2013
Print ISSN: 0167-6806
Electronic ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-012-2350-8

Other articles of this Issue 1/2013

Breast Cancer Research and Treatment 1/2013 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine