Detection and characterisation of biopsy tissue using quantitative optical coherence elastography (OCE) in men with suspected prostate cancer

Chunhui Li, Guangying Guan, Yuting Ling, Ying-Ting Hsu, Shaozhen Song, Jeffrey T.-J. Huang, Stephen Lang, Ruikang K. Wang, Zhihong Huang, Ghulam Nabi (Lead / Corresponding author)

Research output: Contribution to journalArticlepeer-review

61 Citations (Scopus)

Abstract

We present first quantitative three-dimensional (3D) data sets recorded using optical coherence elastography (OCE) for the diagnosis and detection of prostate cancer (PCa). 120 transrectal ultrasound guided prostate biopsy specimens from 10 men suspected with prostate cancer were imaged using OCE. 3D quantitative mechanical assessment of biopsy specimens obtained in kilopascals (kPa) at an interval of 40 μm was compared with histopathology. Sensitivity, specificity, and positive and negative predictive values were calculated for OCE in comparison to histopathology. The results show OCE imaging could reliably differentiate between benign prostate tissue, acinar atypical hyperplasia, prostatic intraepithelial neoplasia and malignant PCa. The sensitivity and specificity of OCE for the detection of prostate cancer was 0.98 and 0.91 with AUC > 0.99. Quantitative 3D OCE based on the assessment of mechanical properties of tissues can reliably differentiate prostate tissue specimen in an ex-vivo setting. This is a promising imaging modality for characterising different grades of cancers.

Original languageEnglish
Pages (from-to)121-128
Number of pages8
JournalCancer Letters
Volume357
Issue number1
Early online date21 Nov 2014
DOIs
Publication statusPublished - 1 Feb 2015

Keywords

  • Optical coherence elastography (OCE)
  • Prostate biopsy
  • Prostate cancer (PCa)
  • Young's modulus

ASJC Scopus subject areas

  • Cancer Research
  • Oncology

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