Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2020 Jun;13(6):e201960105.
doi: 10.1002/jbio.201960105. Epub 2020 Mar 30.

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

Abel Swaan  1   2 , Berrend G Muller  1 , Leah S Wilk  2 , Mitra Almasian  2 , Evita C H Zwartkruis  3 , L Rence Rozendaal  3 , Daniel M de Bruin  1   2 , Dirk J Faber  2 , Ton G van Leeuwen  2 , Marcel B van Herk  2   4   5
Affiliations
Review

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

Abel Swaan et al. J Biophotonics. 2020 Jun.

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.

Keywords: histopathology; one-to-one registration; optical coherence tomography; prostate.

PubMed Disclaimer

References

REFERENCES

    1. R. L. Siegel, K. D. Miller, A. Jemal, Cancer Stat. 2017, 65, 5.
    1. A. Heidenreich, P. J. Bastian, J. Bellmunt, M. Bolla, S. Joniau, T. van der Kwast, M. Mason, V. Matveev, T. Wiegel, F. Zattoni, N. Mottet, Eur. Urol. 2013, 65, 124.
    1. M. D. Tyson, P. E. Andrews, R. F. Ferrigni, M. R. Humphreys, A. S. Parker, E. P. Castle, Mayo Clin. Proc. 2016, 91, 10. https://doi.org/10.1016/j.mayocp.2015.09.018.
    1. T. H. Van der Kwast, M. J. Roobol, Nat Rev Urol 2013, 10, 473. https://doi.org/10.1038/nrurol.2013.112.
    1. C. Lindh, B. Delahunt, L. Egevad, Pathology 2018, 50, 382.

Publication types

LinkOut - more resources