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

TY - JOUR

T1 - Detection and characterisation of biopsy tissue using quantitative optical coherence elastography (OCE) in men with suspected prostate cancer

AU - Li, Chunhui

AU - Guan, Guangying

AU - Ling, Yuting

AU - Hsu, Ying-Ting

AU - Song, Shaozhen

AU - Huang, Jeffrey T.-J.

AU - Lang, Stephen

AU - Wang, Ruikang K.

AU - Huang, Zhihong

AU - Nabi, Ghulam

N1 - Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

PY - 2015/2/1

Y1 - 2015/2/1

N2 - 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.

AB - 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.

KW - Optical coherence elastography (OCE)

KW - Prostate biopsy

KW - Prostate cancer (PCa)

KW - Young's modulus

U2 - 10.1016/j.canlet.2014.11.021

DO - 10.1016/j.canlet.2014.11.021

M3 - Article

C2 - 25444932

SN - 0304-3835

VL - 357

SP - 121

EP - 128

JO - Cancer Letters

JF - Cancer Letters

IS - 1

ER -