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En-face optical coherence tomography for the detection of cancer in prostatectomy specimens: Quantitative analysis in 20 patients.

Authors :
Swaan A
Muller BG
Wilk LS
Almasian M
Zwartkruis ECH
Rozendaal LR
de Bruin DM
Faber DJ
van Leeuwen TG
van Herk MB
Source :
Journal of biophotonics [J Biophotonics] 2020 Jun; Vol. 13 (6), pp. e201960105. Date of Electronic Publication: 2020 Mar 30.
Publication Year :
2020

Abstract

The increase histopathological evaluation of prostatectomy specimens rises the workload on pathologists. Automated histopathology systems, preferably directly on unstained specimens, would accelerate the pathology workflow. In this study, we investigate the potential of quantitative analysis of optical coherence tomography (OCT) to separate benign from malignant prostate tissue automatically. Twenty fixated prostates were cut, from which 54 slices were scanned by OCT. Quantitative OCT metrics (attenuation coefficient, residue, goodness-of-fit) were compared for different tissue types, annotated on the histology slides. To avoid misclassification, the poor-quality slides, and edges of annotations were excluded. Accurate registration of OCT data with histology was achieved in 31 slices. After removing outliers, 56% of the OCT data was compared with histopathology. The quantitative data could not separate malignant from benign tissue. Logistic regression resulted in malignant detection with a sensitivity of 0.80 and a specificity of 0.34. Quantitative OCT analysis should be improved before clinical use.<br /> (© 2020 The Authors. Journal of Biophotonics published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Details

Language :
English
ISSN :
1864-0648
Volume :
13
Issue :
6
Database :
MEDLINE
Journal :
Journal of biophotonics
Publication Type :
Academic Journal
Accession number :
32049426
Full Text :
https://doi.org/10.1002/jbio.201960105