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A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening

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A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening. / Kelly, Jemma G.; Ahmadzai, Abdullah A.; Hermansen, Paul et al.
In: Analytical and Bioanalytical Chemistry, Vol. 401, No. 3, 08.2011, p. 957-967.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Kelly, JG, Ahmadzai, AA, Hermansen, P, Pitt, MA, Saidan, Z, Martin-Hirsch, PL & Martin, FL 2011, 'A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening', Analytical and Bioanalytical Chemistry, vol. 401, no. 3, pp. 957-967. https://doi.org/10.1007/s00216-011-5137-6

APA

Kelly, J. G., Ahmadzai, A. A., Hermansen, P., Pitt, M. A., Saidan, Z., Martin-Hirsch, P. L., & Martin, F. L. (2011). A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening. Analytical and Bioanalytical Chemistry, 401(3), 957-967. https://doi.org/10.1007/s00216-011-5137-6

Vancouver

Kelly JG, Ahmadzai AA, Hermansen P, Pitt MA, Saidan Z, Martin-Hirsch PL et al. A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening. Analytical and Bioanalytical Chemistry. 2011 Aug;401(3):957-967. doi: 10.1007/s00216-011-5137-6

Author

Kelly, Jemma G. ; Ahmadzai, Abdullah A. ; Hermansen, Paul et al. / A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories : an initial study towards diagnostic screening. In: Analytical and Bioanalytical Chemistry. 2011 ; Vol. 401, No. 3. pp. 957-967.

Bibtex

@article{2e4ebe0e1df64423b4b6c4a4eb314ba8,
title = "A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories: an initial study towards diagnostic screening",
abstract = "Fine needle aspirates (FNAs) of suspicious breast lesions are often used to aid the diagnosis of female breast cancer. Biospectroscopy tools facilitate the acquisition of a biochemical cell fingerprint representative of chemical bonds present in a biological sample. The mid-infrared (IR; 4,000-400 cm(-1)) is absorbed by the chemical bonds present, allowing one to derive an absorbance spectrum. Complementary to IR spectroscopy, Raman spectroscopy measures the scattering by chemical bonds following excitation by a laser to generate an intensity spectrum. Our objective was to apply these methods to determine whether a biospectroscopy approach could objectively segregate different categories of FNAs. FNAs of breast tissue were collected (n = 48) in a preservative solution and graded into categories by a cytologist as C1 (non-diagnostic), C2 (benign), C3 (suspicious, probably benign) or C5 (malignant) [or C4 (suspicious, probably malignant); no samples falling within this category were identified during the collection period of the study]. Following washing, the cellular material was transferred onto BaF(2) (IR-transparent) slides for interrogation by Raman or Fourier-transform IR (FTIR) microspectroscopy. In some cases where sufficient material was obtained, this was transferred to low-E (IR-reflective) glass slides for attenuated total reflection-FTIR spectroscopy. The spectral datasets produced from these techniques required multivariate analysis for data handling. Principal component analysis followed by linear discriminant analysis was performed independently on each of the spectral datasets for only C2, C3 and C5. The resulting scores plots revealed a marked overlap of C2 with C3 and C5, although the latter pair were both significantly segregated (P ",
keywords = "Biopsy, Fine-Needle, Breast, Breast Neoplasms, Female, Humans, Multivariate Analysis, Neoplasm Grading, Sensitivity and Specificity, Spectroscopy, Fourier Transform Infrared",
author = "Kelly, {Jemma G.} and Ahmadzai, {Abdullah A.} and Paul Hermansen and Pitt, {Mark A.} and Zuhair Saidan and Martin-Hirsch, {Pierre L.} and Martin, {Francis L.}",
year = "2011",
month = aug,
doi = "10.1007/s00216-011-5137-6",
language = "English",
volume = "401",
pages = "957--967",
journal = "Analytical and Bioanalytical Chemistry",
issn = "1618-2642",
publisher = "Springer Verlag",
number = "3",

}

RIS

TY - JOUR

T1 - A biospectroscopic interrogation of fine needle aspirates points towards segregation between graded categories

T2 - an initial study towards diagnostic screening

AU - Kelly, Jemma G.

AU - Ahmadzai, Abdullah A.

AU - Hermansen, Paul

AU - Pitt, Mark A.

AU - Saidan, Zuhair

AU - Martin-Hirsch, Pierre L.

AU - Martin, Francis L.

PY - 2011/8

Y1 - 2011/8

N2 - Fine needle aspirates (FNAs) of suspicious breast lesions are often used to aid the diagnosis of female breast cancer. Biospectroscopy tools facilitate the acquisition of a biochemical cell fingerprint representative of chemical bonds present in a biological sample. The mid-infrared (IR; 4,000-400 cm(-1)) is absorbed by the chemical bonds present, allowing one to derive an absorbance spectrum. Complementary to IR spectroscopy, Raman spectroscopy measures the scattering by chemical bonds following excitation by a laser to generate an intensity spectrum. Our objective was to apply these methods to determine whether a biospectroscopy approach could objectively segregate different categories of FNAs. FNAs of breast tissue were collected (n = 48) in a preservative solution and graded into categories by a cytologist as C1 (non-diagnostic), C2 (benign), C3 (suspicious, probably benign) or C5 (malignant) [or C4 (suspicious, probably malignant); no samples falling within this category were identified during the collection period of the study]. Following washing, the cellular material was transferred onto BaF(2) (IR-transparent) slides for interrogation by Raman or Fourier-transform IR (FTIR) microspectroscopy. In some cases where sufficient material was obtained, this was transferred to low-E (IR-reflective) glass slides for attenuated total reflection-FTIR spectroscopy. The spectral datasets produced from these techniques required multivariate analysis for data handling. Principal component analysis followed by linear discriminant analysis was performed independently on each of the spectral datasets for only C2, C3 and C5. The resulting scores plots revealed a marked overlap of C2 with C3 and C5, although the latter pair were both significantly segregated (P

AB - Fine needle aspirates (FNAs) of suspicious breast lesions are often used to aid the diagnosis of female breast cancer. Biospectroscopy tools facilitate the acquisition of a biochemical cell fingerprint representative of chemical bonds present in a biological sample. The mid-infrared (IR; 4,000-400 cm(-1)) is absorbed by the chemical bonds present, allowing one to derive an absorbance spectrum. Complementary to IR spectroscopy, Raman spectroscopy measures the scattering by chemical bonds following excitation by a laser to generate an intensity spectrum. Our objective was to apply these methods to determine whether a biospectroscopy approach could objectively segregate different categories of FNAs. FNAs of breast tissue were collected (n = 48) in a preservative solution and graded into categories by a cytologist as C1 (non-diagnostic), C2 (benign), C3 (suspicious, probably benign) or C5 (malignant) [or C4 (suspicious, probably malignant); no samples falling within this category were identified during the collection period of the study]. Following washing, the cellular material was transferred onto BaF(2) (IR-transparent) slides for interrogation by Raman or Fourier-transform IR (FTIR) microspectroscopy. In some cases where sufficient material was obtained, this was transferred to low-E (IR-reflective) glass slides for attenuated total reflection-FTIR spectroscopy. The spectral datasets produced from these techniques required multivariate analysis for data handling. Principal component analysis followed by linear discriminant analysis was performed independently on each of the spectral datasets for only C2, C3 and C5. The resulting scores plots revealed a marked overlap of C2 with C3 and C5, although the latter pair were both significantly segregated (P

KW - Biopsy, Fine-Needle

KW - Breast

KW - Breast Neoplasms

KW - Female

KW - Humans

KW - Multivariate Analysis

KW - Neoplasm Grading

KW - Sensitivity and Specificity

KW - Spectroscopy, Fourier Transform Infrared

U2 - 10.1007/s00216-011-5137-6

DO - 10.1007/s00216-011-5137-6

M3 - Journal article

C2 - 21660416

VL - 401

SP - 957

EP - 967

JO - Analytical and Bioanalytical Chemistry

JF - Analytical and Bioanalytical Chemistry

SN - 1618-2642

IS - 3

ER -