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

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.

[1]  Jonathan L Wright,et al.  Experience improves staging accuracy of endorectal magnetic resonance imaging in prostate cancer: what is the learning curve? , 2007, The Canadian journal of urology.

[2]  Michael W. Jenkins,et al.  Intracoronary optical coherence tomography, basic theory and image acquisition techniques , 2011, The International Journal of Cardiovascular Imaging.

[3]  T. H. van der Kwast,et al.  Focal laser ablation for prostate cancer followed by radical prostatectomy: validation of focal therapy and imaging accuracy. , 2010, European urology.

[4]  J. McKenney.  The present and future of prostate cancer histopathology , 2017, Current opinion in urology.

[5]  M. Marberger,et al.  Effect of high-intensity focused ultrasound on human prostate cancer in vivo. , 1995, Cancer research.

[6]  S. Yun,et al.  In vivo high-resolution video-rate spectral-domain optical coherence tomography of the human retina and optic nerve. , 2004, Optics express.

[7]  Tristan Barrett,et al.  Dynamic contrast-enhanced MRI of prostate cancer at 3 T: a study of pharmacokinetic parameters. , 2007, AJR. American journal of roentgenology.

[8]  In vivo, percutaneous, needle based, optical coherence tomography of renal masses. , 2015, Journal of visualized experiments : JoVE.

[9]  Shahab Chitchian,et al.  Segmentation of optical coherence tomography images for differentiation of the cavernous nerves from the prostate gland. , 2009, Journal of biomedical optics.

[10]  A. Rollins,et al.  Intracoronary optical coherence tomography: a comprehensive review clinical and research applications. , 2009, JACC. Cardiovascular interventions.

[11]  G. Andriole.  Long-Term Functional Outcomes after Treatment for Localized Prostate Cancer , 2013 .

[12]  Andrew J. Schaumberg,et al.  DeepScope: Nonintrusive Whole Slide Saliency Annotation and Prediction from Pathologists at the Microscope , 2016, bioRxiv.

[13]  P. Pinto,et al.  Imaging modalities in focal therapy: patient selection, treatment guidance, and follow-up , 2014, Current opinion in urology.

[14]  Michael A Fiddy,et al.  Combined image-processing algorithms for improved optical coherence tomography of prostate nerves. , 2010, Journal of biomedical optics.

[15]  J. Fujimoto,et al.  Optical coherence tomography as a method for identifying benign and malignant microscopic structures in the prostate gland. , 2000, Urology.

[16]  Sun-Joo Jang,et al.  High frame-rate intravascular optical frequency-domain imaging in vivo. , 2013, Biomedical optics express.

[17]  Mark Emberton,et al.  Photodynamic therapy for prostate cancer—a review of current status and future promise , 2009, Nature Clinical Practice Urology.

[18]  David W. Taggart,et al.  No surgical innovation without evaluation: the IDEAL recommendations , 2009, The Lancet.

[19]  Johannes B Reitsma,et al.  The STARD initiative , 2003, The Lancet.

[20]  Ton G van Leeuwen,et al.  Differentiation between normal renal tissue and renal tumours using functional optical coherence tomography: a phase I in vivo human study , 2012, BJU international.

[21]  Gijs van Soest,et al.  Atherosclerotic tissue characterization in vivo by optical coherence tomography attenuation imaging. , 2010, Journal of biomedical optics.

[22]  D. D. de Bruin,et al.  The safety and efficacy of irreversible electroporation for the ablation of prostate cancer: a multicentre prospective human in vivo pilot study protocol , 2014, BMJ Open.

[23]  P. Carroll,et al.  Prostate cancer: effect of postbiopsy hemorrhage on interpretation of MR images. , 1995, Radiology.

[24]  D. D. de Bruin,et al.  Optical phantoms of varying geometry based on thin building blocks with controlled optical properties. , 2010, Journal of biomedical optics.

[25]  S. Yun,et al.  High-speed optical frequency-domain imaging. , 2003, Optics express.

[26]  T. H. van der Kwast,et al.  EAU guidelines on prostate cancer. part 1: screening, diagnosis, and local treatment with curative intent-update 2013. , 2014, European urology.

[27]  Ton G van Leeuwen,et al.  Prostate cancer diagnosis by optical coherence tomography: First results from a needle based optical platform for tissue sampling , 2016, Journal of biophotonics.

[28]  Nathan Lawrentschuk,et al.  The Role of Focal Therapy in the Management of Localised Prostate Cancer: A Systematic Review , 2014, European urology.

[29]  G. Onik,et al.  "Male lumpectomy": focal therapy for prostate cancer using cryoablation. , 2007, Urology.

[30]  Ton G van Leeuwen,et al.  Prostate cancer diagnosis: the feasibility of needle-based optical coherence tomography , 2015, Journal of medical imaging.

[31]  J. Fujimoto,et al.  Optical biopsy in human urologic tissue using optical coherence tomography. , 1997, The Journal of urology.

[32]  Dirk J. Faber,et al.  Measurement of the axial point spread function in scattering media using single-mode fiber-based optical coherence tomography , 2003 .

[33]  Theo J M Ruers,et al.  The Value of Optical Coherence Tomography in Determining Surgical Margins in Squamous Cell Carcinoma of the Vulva: A Single-Center Prospective Study , 2015, International Journal of Gynecologic Cancer.

[34]  Ton G van Leeuwen,et al.  Volumetric in vivo visualization of upper urinary tract tumors using optical coherence tomography: a pilot study. , 2013, The Journal of urology.

[35]  A. Jemal,et al.  Cancer statistics, 2015 , 2015, CA: a cancer journal for clinicians.

[36]  Tristan Barrett,et al.  Defining the learning curve for multiparametric magnetic resonance imaging (MRI) of the prostate using MRI‐transrectal ultrasonography (TRUS) fusion‐guided transperineal prostate biopsies as a validation tool , 2016, BJU international.

[37]  F. Beuvon,et al.  Real-time cancer diagnosis during prostate biopsy: ex vivo evaluation of full-field optical coherence tomography (FFOCT) imaging on biopsy cores , 2016, World Journal of Urology.

[38]  D. D. de Bruin,et al.  Customized Tool for the Validation of Optical Coherence Tomography in Differentiation of Prostate Cancer , 2017, Technology in cancer research & treatment.

[39]  Jin Tae Kwak,et al.  Multiview boosting digital pathology analysis of prostate cancer , 2017, Comput. Methods Programs Biomed..

[40]  Tayyar A. Ozkan,et al.  Interobserver variability in Gleason histological grading of prostate cancer , 2016, Scandinavian journal of urology.

[41]  Dirk J. Faber,et al.  Validation of quantitative attenuation and backscattering coefficient measurements by optical coherence tomography in the concentration-dependent and multiple scattering regime , 2015, Journal of biomedical optics.

[42]  Benjamin Kaffenberger,et al.  The use of high resolution optical coherence tomography to evaluate robotic radical prostatectomy specimens. , 2009, International braz j urol : official journal of the Brazilian Society of Urology.