Prostate cancer detection using combined autofluorescence and light reflectance spectroscopy

Ex vivo study of human prostates

Vikrant Sharma, Ephrem O. Olweny, Payal Kapur, Jeffrey A Cadeddu, Claus Roehrborn, Hanli Liu

Research output: Contribution to journalArticle

14 Citations (Scopus)

Abstract

This study was conducted to evaluate the capability of detecting prostate cancer (PCa) using auto-fluorescence lifetime spectroscopy (AFLS) and light reflectance spectroscopy (LRS). AFLS used excitation at 447 nm with four emission wavelengths (532, 562, 632, and 684 nm), where their lifetimes and weights were analyzed using a double exponent model. LRS was measured between 500 and 840 nm and analyzed by a quantitative model to determine hemoglobin concentrations and light scattering. Both AFLS and LRS were taken on n = 724 distinct locations from both prostate capsular (nc = 185) and parenchymal (np = 539) tissues, including PCa tissue, benign peripheral zone tissue and benign prostatic hyperplasia (BPH), of fresh ex vivo radical prostatectomy specimens from 37 patients with high volume, intermediate-to-high-grade PCa (Gleason score, GS =7). AFLS and LRS parameters from parenchymal tissues were analyzed for statistical testing and classification. A feature selection algorithm based on multinomial logistic regression was implemented to identify critical parameters in order to classify high-grade PCa tissue. The regression model was in turn used to classify PCa tissue at the individual aggressive level of GS = 7, 8, 9. Receiver operating characteristic curves were generated and used to determine classification accuracy for each tissue type. We show that our dual-modal technique resulted in accuracies of 87.9%, 90.1%, and 85.1% for PCa classification at GS = 7, 8, 9 within parenchymal tissues, and up to 91.1%, 91.9%, and 94.3% if capsular tissues were included for detection. Possible biochemical and physiological mechanisms causing signal differences in AFLS and LRS between PCa and benign tissues were also discussed.

Original languageEnglish (US)
Pages (from-to)1512-1529
Number of pages18
JournalBiomedical Optics Express
Volume5
Issue number5
DOIs
StatePublished - May 1 2014

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Prostate
Spectrum Analysis
Prostatic Neoplasms
cancer
Fluorescence Spectrometry
reflectance
Light
spectroscopy
life (durability)
fluorescence
regression analysis
grade
Neoplasm Grading
Prostatic Hyperplasia
Prostatectomy
ROC Curve
logistics
hemoglobin
Hemoglobins
Logistic Models

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Biotechnology

Cite this

Prostate cancer detection using combined autofluorescence and light reflectance spectroscopy : Ex vivo study of human prostates. / Sharma, Vikrant; Olweny, Ephrem O.; Kapur, Payal; Cadeddu, Jeffrey A; Roehrborn, Claus; Liu, Hanli.

In: Biomedical Optics Express, Vol. 5, No. 5, 01.05.2014, p. 1512-1529.

Research output: Contribution to journalArticle

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