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Proceedings Article

Autofluorescence spectroscopy for early diagnosis of cancer eye

[+] Author Affiliations
Shovan K. Majumder

Vanderbilt Univ.

Nirmalya Ghosh, Pradeep K. Gupta

Raja Ramanna Ctr. for Advanced Technology (India)

Sopan M. Rathod

Abasaheb Garware College (India)

Proc. SPIE 6430, Advanced Biomedical and Clinical Diagnostic Systems V, 64301K (February 06, 2007); doi:10.1117/12.724874
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From Conference Volume 6430

  • Advanced Biomedical and Clinical Diagnostic Systems V
  • Tuan Vo-Dinh; Warren S. Grundfest; David A. Benaron; Gerald E. Cohn; Ramesh Raghavachari
  • San Jose, CA | January 20, 2007

abstract

We report an in-vitro autofluorescence spectroscopic study of cow eye tissue to explore the applicability of the approach in discriminating early stage "cancer eye" from normal squamous eye tissues. Significant differences were observed in the autofluorescence signatures between the "cancer eye" and normal eye tissues. The spectral differences were quantified by employing a probability-based diagnostic algorithm developed based on recently formulated theory of Relevance Vector Machine (RVM), a Bayesian machine-learning framework of statistical pattern recognition. The algorithm provided sensitivity and specificity values of 97 ± 2% towards cancer for the training set data based on leave-one-out cross validation and a sensitivity of 97 ± 2% and a specificity of 99 ± 1% towards cancer for the independent validation set data. These results suggest that autofluorescence spectroscopy might prove to be a quantitative in-vivo diagnostic modality for early and accurate diagnosis of "cancer eye" in veterinary clinical setting, which would help improve ranch management from both economic and animal care standpoint.

© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Shovan K. Majumder ; Nirmalya Ghosh ; Sopan M. Rathod and Pradeep K. Gupta
"Autofluorescence spectroscopy for early diagnosis of cancer eye", Proc. SPIE 6430, Advanced Biomedical and Clinical Diagnostic Systems V, 64301K (February 06, 2007); doi:10.1117/12.724874; http://dx.doi.org/10.1117/12.724874


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