Literature DB >> 20941399

Towards a safe non-invasive method for evaluating the carbonate substitution levels of hydroxyapatite (HAP) in micro-calcifications found in breast tissue.

Marleen M Kerssens1, Pavel Matousek, Keith Rogers, Nicholas Stone.   

Abstract

A new diagnostic concept based on deep Raman spectroscopy is proposed permitting the non-invasive determination of the level of carbonate substitution in type II calcifications (HAP). The carbonate substitution has shown to be directly associated with the pathology of the surrounding breast tissue and different pathology groups can therefore be separated using specific features in the Raman spectra of the calcifications. This study explores the principle of distinguishing between type II calcifications, found in proliferating lesions, by using the strongest Raman peak from calcium hydroxyapatites (the phosphate peak at 960 cm(-1)) to act as a surrogate marker for carbonate substitution levels. It is believed that carbonate ion substitution leads to a perturbation of the hydroxyapatite lattice which in turn affects the phosphate vibrational modes. By studying calcifications, with known carbonate content, buried in porcine tissue it has been possible to evaluate the feasibility of using the proposed approach to probe the composition of the calcifications in vivo and hence provide pathology specific information non-invasively, in real time. Using the proposed concept we were able to determine the level of carbonate substitutions through soft tissue phantom samples (total thickness of 5.6 mm). As the level of carbonate substitution has been previously correlated with mid-FTIR to the lesion type, i.e. whether benign or invasive or in situ carcinoma, the new findings provide a major step forward towards establishing a new capability for diagnosing benign and malignant lesions in breast tissue in a safe and non-invasive manner in vivo.

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Year:  2010        PMID: 20941399     DOI: 10.1039/c0an00565g

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  7 in total

1.  Development and comparative assessment of Raman spectroscopic classification algorithms for lesion discrimination in stereotactic breast biopsies with microcalcifications.

Authors:  Narahara Chari Dingari; Ishan Barman; Anushree Saha; Sasha McGee; Luis H Galindo; Wendy Liu; Donna Plecha; Nina Klein; Ramachandra Rao Dasari; Maryann Fitzmaurice
Journal:  J Biophotonics       Date:  2012-07-20       Impact factor: 3.207

2.  Precision of Raman spectroscopy measurements in detection of microcalcifications in breast needle biopsies.

Authors:  Anushree Saha; Ishan Barman; Narahara Chari Dingari; Luis H Galindo; Abdus Sattar; Wendy Liu; Donna Plecha; Nina Klein; Ramachandra Rao Dasari; Maryann Fitzmaurice
Journal:  Anal Chem       Date:  2012-07-12       Impact factor: 6.986

3.  Raman spectroscopy and artificial intelligence to predict the Bayesian probability of breast cancer.

Authors:  Ragini Kothari; Veronica Jones; Dominique Mena; Viviana Bermúdez Reyes; Youkang Shon; Jennifer P Smith; Daniel Schmolze; Philip D Cha; Lily Lai; Yuman Fong; Michael C Storrie-Lombardi
Journal:  Sci Rep       Date:  2021-03-22       Impact factor: 4.379

Review 4.  Raman spectroscopy: current applications in breast cancer diagnosis, challenges and future prospects.

Authors:  Katie Hanna; Emma Krzoska; Abeer M Shaaban; David Muirhead; Rasha Abu-Eid; Valerie Speirs
Journal:  Br J Cancer       Date:  2021-12-10       Impact factor: 9.075

5.  Unravelling the Encapsulation of DNA and Other Biomolecules in HAp Microcalcifications of Human Breast Cancer Tissues by Raman Imaging.

Authors:  Monica Marro; Anna M Rodríguez-Rivero; Cuauhtémoc Araujo-Andrade; Maria Teresa Fernández-Figueras; Laia Pérez-Roca; Eva Castellà; Jordi Navinés; Antonio Mariscal; Joan Francesc Julián; Pau Turon; Pablo Loza-Alvarez
Journal:  Cancers (Basel)       Date:  2021-05-28       Impact factor: 6.639

6.  Quantitative chemical imaging of breast calcifications in association with neoplastic processes.

Authors:  Kseniya S Shin; Mint Laohajaratsang; Shuaiqian Men; Benjamin Figueroa; Suzanne M Dintzis; Dan Fu
Journal:  Theranostics       Date:  2020-04-27       Impact factor: 11.556

7.  A time-course Raman spectroscopic analysis of spontaneous in vitro microcalcifications in a breast cancer cell line.

Authors:  Pascaline Bouzy; Shane O'Grady; Honey Madupalli; Mary Tecklenburg; Keith Rogers; Francesca Palombo; Maria P Morgan; Nicholas Stone
Journal:  Lab Invest       Date:  2021-06-11       Impact factor: 5.662

  7 in total

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