Needle-based optical coherence tomography for the detection of prostate cancer: a visual and quantitative analysis in 20 patients

Berrend G. Muller; Rob A. A. van Kollenburg; Abel Swaan; Evita C. H. Zwartkruis; Martin J. Brandt; Leah S. Wilk; Mitra Almasian; A. Wim Schreurs; Dirk J. Faber; L. Rence Rozendaal; Andre N. Vis; Jakko A. Nieuwenhuijzen; Jeroen R. J. A. van Moorselaar; Jean J.M.C. H. de la Rosette M.D.; Daniel Martijn de Bruin; Ton G. van Leeuwen

doi:10.1117/1.JBO.23.8.086001

9 August 2018 Needle-based optical coherence tomography for the detection of prostate cancer: a visual and quantitative analysis in 20 patients

Berrend G. Muller, Rob A. A. van Kollenburg, Abel Swaan, Evita C. H. Zwartkruis, Martin J. Brandt, Leah S. Wilk, Mitra Almasian, A. Wim Schreurs, Dirk J. Faber, L. Rence Rozendaal, Andre N. Vis, Jakko A. Nieuwenhuijzen, Jeroen R. J. A. van Moorselaar, Jean J.M.C. H. de la Rosette M.D., Daniel Martijn de Bruin, Ton G. van Leeuwen

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Journal of Biomedical Optics, Vol. 23, Issue 8, 086001 (August 2018). https://doi.org/10.1117/1.JBO.23.8.086001

Abstract

Diagnostic accuracy of needle-based optical coherence tomography (OCT) for prostate cancer detection by visual and quantitative analysis is defined. 106 three-dimensional (3-D)-OCT data sets were acquired in 20 prostates after radical prostatectomy and precisely matched with pathology. OCT images were grouped per histological category. Two reviewers performed blind assessments of the OCT images. Sensitivity and specificity for malignancy detection were calculated. Quantitative analyses by automated optical attenuation coefficient calculation were performed. OCT can reliably differentiate between fat, cystic, and regular atrophy and benign glands. The overall sensitivity and specificity for malignancy detection was 79% and 88% for reviewer 1 and 88% and 81% for reviewer 2. Quantitative analysis for differentiation between stroma and malignancy showed a significant difference (4.6 mm^− 1 versus 5.0 mm^− 1 Mann–Whitney U-test p < 0.0001). A Kruskal–Wallis test showed a significant difference in median attenuation coefficient between stroma, inflammation, Gleason 3, and Gleason 4 (4.6, 4.1, 5.9, and 5.0 mm^− 1, respectively). However, attenuation coefficient varied per patient and a related-samples Wilcoxon signed-rank test showed no significant difference per patient (p = 0.17). This study confirmed the one to one correlation of histopathology and OCT. Precise matching showed that most histological tissues categories in the prostate could be distinguished by their unique pattern in OCT images. In addition, the optical attenuation coefficient can play a role in the differentiation between stroma and malignancy; however, a per patient analysis of the optical attenuation coefficient did not show a significant difference.

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Berrend G. Muller, Rob A. A. van Kollenburg, Abel Swaan, Evita C. H. Zwartkruis, Martin J. Brandt, Leah S. Wilk, Mitra Almasian, A. Wim Schreurs, Dirk J. Faber, L. Rence Rozendaal, Andre N. Vis, Jakko A. Nieuwenhuijzen, Jeroen R. J. A. van Moorselaar, Jean J.M.C. H. de la Rosette M.D., Daniel Martijn de Bruin, and Ton G. van Leeuwen "Needle-based optical coherence tomography for the detection of prostate cancer: a visual and quantitative analysis in 20 patients," Journal of Biomedical Optics 23(8), 086001 (9 August 2018). https://doi.org/10.1117/1.JBO.23.8.086001

Received: 19 February 2018; Accepted: 18 July 2018; Published: 9 August 2018

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