TY - JOUR
T1 - Needle-based optical coherence tomography for the detection of prostate cancer: A visual and quantitative analysis in 20 patients
AU - Muller, Berrend G.
AU - van Kollenburg, Rob A. A.
AU - Swaan, Abel
AU - Zwartkruis, Evita C. H.
AU - Brandt, Martin J.
AU - Wilk, Leah S.
AU - Almasian, Mitra
AU - Schreurs, A. Wim
AU - Faber, D. Irk J.
AU - Rozendaal, L. Rence
AU - Vis, Andre N.
AU - Nieuwenhuijzen, Jakko A.
AU - van Moorselaar, Jeroen R. J. A.
AU - de la Rosette, Jean J. M. C. H.
AU - de Bruin, Daniel Martijn
AU - van Leeuwen, Ton G.
PY - 2018
Y1 - 2018
N2 - 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 (4.6mm -1 versus 5.0mm -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 5.0mm -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.
AB - 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 (4.6mm -1 versus 5.0mm -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 5.0mm -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.
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85051771518&origin=inward
UR - https://www.ncbi.nlm.nih.gov/pubmed/30094972
U2 - https://doi.org/10.1117/1.JBO.23.8.086001
DO - https://doi.org/10.1117/1.JBO.23.8.086001
M3 - Article
C2 - 30094972
SN - 1083-3668
VL - 23
JO - Journal of Biomedical Optics
JF - Journal of Biomedical Optics
IS - 8
M1 - 086001
ER -