Raman spectroscopic diagnosis of breast cancers

Evaluation of models

K. Kalyan Kumar, M. V.P. Chowdary, Stanley Mathew, Lakshmi Rao, C. Murali Krishna, Jacob Kurien

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Breast cancer is the leading cancer affecting women. Conventional screening and diagnostic methods are shown to suffer from well-described limitations. The aim of this study was to evaluate Raman spectroscopic models, which were developed earlier, by blinded tissue samples. We have recorded Raman spectra of 69 blinded tissue samples. In each sample, six or more spectra were recorded at different locations. Pretreated spectra were matched against normal, malignant and benign standard sets to obtain a match/mismatch status, which in turn was correlated with histopathology. Among 69 samples analyzed, 61 could be unambiguously diagnosed as 29 normal, 17 malignant and 15 benign, as their spectra matched with only one standard set and mismatched against the others. In the cases of the remaining tissue samples, matching them against pathological sets was the determining criteria. These samples were diagnosed as pathological since at least one of the spectra of these tissues had matched with pathological sets. Thus, we demonstrate a good correlation between histopathology and Raman spectroscopic diagnosis. Therefore, findings of the study further support the efficacy of Raman spectroscopic models that were developed by us. Prospectively, by developing models for as many pathological conditions as possible followed by rigorous validation, objective/unambiguous Raman spectroscopic diagnosis of breast pathologies can be realized.

Original languageEnglish
Pages (from-to)1276-1282
Number of pages7
JournalJournal of Raman Spectroscopy
Volume39
Issue number9
DOIs
Publication statusPublished - 01-09-2008

Fingerprint

Tissue
Pathology
Raman scattering
Screening

All Science Journal Classification (ASJC) codes

  • Materials Science(all)
  • Spectroscopy

Cite this

Kumar, K. K., Chowdary, M. V. P., Mathew, S., Rao, L., Krishna, C. M., & Kurien, J. (2008). Raman spectroscopic diagnosis of breast cancers: Evaluation of models. Journal of Raman Spectroscopy, 39(9), 1276-1282. https://doi.org/10.1002/jrs.1991
Kumar, K. Kalyan ; Chowdary, M. V.P. ; Mathew, Stanley ; Rao, Lakshmi ; Krishna, C. Murali ; Kurien, Jacob. / Raman spectroscopic diagnosis of breast cancers : Evaluation of models. In: Journal of Raman Spectroscopy. 2008 ; Vol. 39, No. 9. pp. 1276-1282.
@article{3402b5ca7e9c44bfa48d5cc447433006,
title = "Raman spectroscopic diagnosis of breast cancers: Evaluation of models",
abstract = "Breast cancer is the leading cancer affecting women. Conventional screening and diagnostic methods are shown to suffer from well-described limitations. The aim of this study was to evaluate Raman spectroscopic models, which were developed earlier, by blinded tissue samples. We have recorded Raman spectra of 69 blinded tissue samples. In each sample, six or more spectra were recorded at different locations. Pretreated spectra were matched against normal, malignant and benign standard sets to obtain a match/mismatch status, which in turn was correlated with histopathology. Among 69 samples analyzed, 61 could be unambiguously diagnosed as 29 normal, 17 malignant and 15 benign, as their spectra matched with only one standard set and mismatched against the others. In the cases of the remaining tissue samples, matching them against pathological sets was the determining criteria. These samples were diagnosed as pathological since at least one of the spectra of these tissues had matched with pathological sets. Thus, we demonstrate a good correlation between histopathology and Raman spectroscopic diagnosis. Therefore, findings of the study further support the efficacy of Raman spectroscopic models that were developed by us. Prospectively, by developing models for as many pathological conditions as possible followed by rigorous validation, objective/unambiguous Raman spectroscopic diagnosis of breast pathologies can be realized.",
author = "Kumar, {K. Kalyan} and Chowdary, {M. V.P.} and Stanley Mathew and Lakshmi Rao and Krishna, {C. Murali} and Jacob Kurien",
year = "2008",
month = "9",
day = "1",
doi = "10.1002/jrs.1991",
language = "English",
volume = "39",
pages = "1276--1282",
journal = "Journal of Raman Spectroscopy",
issn = "0377-0486",
publisher = "John Wiley and Sons Ltd",
number = "9",

}

Kumar, KK, Chowdary, MVP, Mathew, S, Rao, L, Krishna, CM & Kurien, J 2008, 'Raman spectroscopic diagnosis of breast cancers: Evaluation of models', Journal of Raman Spectroscopy, vol. 39, no. 9, pp. 1276-1282. https://doi.org/10.1002/jrs.1991

Raman spectroscopic diagnosis of breast cancers : Evaluation of models. / Kumar, K. Kalyan; Chowdary, M. V.P.; Mathew, Stanley; Rao, Lakshmi; Krishna, C. Murali; Kurien, Jacob.

In: Journal of Raman Spectroscopy, Vol. 39, No. 9, 01.09.2008, p. 1276-1282.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Raman spectroscopic diagnosis of breast cancers

T2 - Evaluation of models

AU - Kumar, K. Kalyan

AU - Chowdary, M. V.P.

AU - Mathew, Stanley

AU - Rao, Lakshmi

AU - Krishna, C. Murali

AU - Kurien, Jacob

PY - 2008/9/1

Y1 - 2008/9/1

N2 - Breast cancer is the leading cancer affecting women. Conventional screening and diagnostic methods are shown to suffer from well-described limitations. The aim of this study was to evaluate Raman spectroscopic models, which were developed earlier, by blinded tissue samples. We have recorded Raman spectra of 69 blinded tissue samples. In each sample, six or more spectra were recorded at different locations. Pretreated spectra were matched against normal, malignant and benign standard sets to obtain a match/mismatch status, which in turn was correlated with histopathology. Among 69 samples analyzed, 61 could be unambiguously diagnosed as 29 normal, 17 malignant and 15 benign, as their spectra matched with only one standard set and mismatched against the others. In the cases of the remaining tissue samples, matching them against pathological sets was the determining criteria. These samples were diagnosed as pathological since at least one of the spectra of these tissues had matched with pathological sets. Thus, we demonstrate a good correlation between histopathology and Raman spectroscopic diagnosis. Therefore, findings of the study further support the efficacy of Raman spectroscopic models that were developed by us. Prospectively, by developing models for as many pathological conditions as possible followed by rigorous validation, objective/unambiguous Raman spectroscopic diagnosis of breast pathologies can be realized.

AB - Breast cancer is the leading cancer affecting women. Conventional screening and diagnostic methods are shown to suffer from well-described limitations. The aim of this study was to evaluate Raman spectroscopic models, which were developed earlier, by blinded tissue samples. We have recorded Raman spectra of 69 blinded tissue samples. In each sample, six or more spectra were recorded at different locations. Pretreated spectra were matched against normal, malignant and benign standard sets to obtain a match/mismatch status, which in turn was correlated with histopathology. Among 69 samples analyzed, 61 could be unambiguously diagnosed as 29 normal, 17 malignant and 15 benign, as their spectra matched with only one standard set and mismatched against the others. In the cases of the remaining tissue samples, matching them against pathological sets was the determining criteria. These samples were diagnosed as pathological since at least one of the spectra of these tissues had matched with pathological sets. Thus, we demonstrate a good correlation between histopathology and Raman spectroscopic diagnosis. Therefore, findings of the study further support the efficacy of Raman spectroscopic models that were developed by us. Prospectively, by developing models for as many pathological conditions as possible followed by rigorous validation, objective/unambiguous Raman spectroscopic diagnosis of breast pathologies can be realized.

UR - http://www.scopus.com/inward/record.url?scp=52649113916&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=52649113916&partnerID=8YFLogxK

U2 - 10.1002/jrs.1991

DO - 10.1002/jrs.1991

M3 - Article

VL - 39

SP - 1276

EP - 1282

JO - Journal of Raman Spectroscopy

JF - Journal of Raman Spectroscopy

SN - 0377-0486

IS - 9

ER -