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

Autor: Muller BG; University of Amsterdam, Academic Medical Center, Department of Urology, The Netherlands., van Kollenburg RAA; University of Amsterdam, Academic Medical Center, Department of Urology, The Netherlands., Swaan A; University of Amsterdam, Academic Medical Center, Department of Urology, The Netherlands.; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands., Zwartkruis ECH; VU University Medical Center, Department of Pathology, Amsterdam, The Netherlands., Brandt MJ; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands., Wilk LS; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands., Almasian M; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands., Schreurs AW; University of Amsterdam, Academic Medical Center, Department of Instrumental Services, The Netherlands., Faber DJ; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands., Rozendaal LR; VU University Medical Center, Department of Pathology, Amsterdam, The Netherlands., Vis AN; VU University Medical Center, Department of Urology, Amsterdam, The Netherlands., Nieuwenhuijzen JA; VU University Medical Center, Department of Urology, Amsterdam, The Netherlands., van Moorselaar JRJA; VU University Medical Center, Department of Urology, Amsterdam, The Netherlands., de la Rosette JJMCH; University of Amsterdam, Academic Medical Center, Department of Urology, The Netherlands.; Istanbul Medipol University, Department of Urology, Istanbul, Turkey., de Bruin DM; University of Amsterdam, Academic Medical Center, Department of Urology, The Netherlands.; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands., van Leeuwen TG; University of Amsterdam, Academic Medical Center, Department of Biomedical Engineering and Physics, The Netherlands.
Jazyk: angličtina
Zdroj: Journal of biomedical optics [J Biomed Opt] 2018 Aug; Vol. 23 (8), pp. 1-11.
DOI: 10.1117/1.JBO.23.8.086001
Abstrakt: 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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Databáze: MEDLINE