JBO Letters

Quantitative analysis of angle-resolved scattering properties of ovarian tissue using optical coherence tomography

[+] Author Affiliations
Yi Yang, Tianheng Wang, Quing Zhu

University of Connecticut, Department of Electrical and Computer Engineering, Storrs, Connecticut 06269

Molly Brewer

University of Connecticut, Department of Electrical and Computer Engineering, Storrs, Connecticut 06269

University of Connecticut Health Center, Division of Gynecologic Oncology, Farmington, Connecticut 06030

J. Biomed. Opt. 17(9), 090503 (Sep 06, 2012). doi:10.1117/1.JBO.17.9.090503
History: Received June 1, 2012; Revised July 20, 2012; Accepted July 31, 2012
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Abstract.  Angle-resolved optical scattering properties of ovarian tissue, on different optical coherence tomography (OCT) imaging planes, were quantitatively measured by fitting the compounded OCT A-lines into a single scattering model. Higher cross correlation value of angle-resolved scattering coefficients between different OCT imaging planes was found in normal ovaries than was present in malignant ovaries. The mean cross correlation coefficient (MCC) was introduced in this pilot study to characterize and differentiate normal, n=6, and malignant, n=4, ovaries. A specificity of 100 percent and a sensitivity of 100 percent were achieved by setting MCC threshold at 0.6. Collagen properties, within the OCT imaging penetration depth, were also qualitatively studied in terms of their content, structure and directivity. The homogeneous three-dimensional collagen fiber network, observed in the normal ovary, effectively explains the stronger cross correlation of angle-resolved scattering properties on different imaging planes while the heterogeneity, observed in the malignant ovary, suggests a weaker correlation.

Figures in this Article

Ovarian cancer is the leading cause of death from gynecologic cancer because it is predominantly diagnosed in late stages, due to the lack of distinctive early symptoms, as well as the lack of efficacious screening and diagnostic techniques.1 The stroma of the ovary is made of primarily Type 1 collagen, so this is an important component of the ovary to target for early changes which may precede malignancy. Collagen fibers are the main scatterers in the stroma underlying the epithelium and recent studies, using optical techniques, have shown that collagen properties may change as malignancy develops.24

Light propagation in biological tissue follows Beer-Lambert law, I=I0×exp(μt×L), where μt is the total attenuation coefficient, L is the optical path length and I0 is the incident light intensity. Total attenuation coefficient is the summation of absorption coefficient, μa, and scattering coefficient, μs. Because μa is much smaller than μs, μtμs, μt can be used as an estimate of the local scattering properties. These two parameters, I0 and μt or scattering coefficient, have been used to characterize biological tissue properties.211 Adam et al. proposed angle-resolved low coherence interferometry5 to obtain angular distribution of reflectance of backscattered light I^0. They used this technique to detect intestinal dysplasia and a statistically significant correlation between increased nuclei size, reduced nuclei density and the presence of dysplasia at the basal layer of epithelium was found.6 Kasaragod et al.7 measured the reflectance, by using optical coherence tomography (OCT), over different angles of illumination and comparatively studied scattering properties of collagen fibers in bovine tendon and cartilage. OCT is a well-established, high resolution, imaging technique which has been widely applied in biomedicine.8 In addition to offering high resolution morphological images, OCT is capable of quantitatively estimating total attenuation coefficient by fitting the A-line measurements to a modified Beer-Lambert function.9 This method has been used to assess early demineralization in teeth10 and characterize ovarian tissue.11

In this paper, we quantitatively analyzed the scattering properties of normal and malignant ovarian tissue by extracting the angle-resolved scattering coefficients from OCT images acquired with different illumination angles and calculating the cross correlations between these angle-resolved scattering coefficients over different OCT imaging planes. We also, qualitatively, studied collagen fiber properties by staining histological slides with pircrosirius red protocol. To the best of our knowledge, this is the first study using angle-resolved optical scattering properties to characterize normal and malignant ovarian tissues.

Ovaries were surgically removed from patients undergoing prophylactic oophorectomy at the University of Connecticut Health Center (UCHC). The patients were at risk for ovarian cancer, had an ovarian mass, or pelvic mass suggesting malignancy. This study was approved by the Institutional Review Boards of UCHC, and informed consent was obtained from all patients. Ovaries were kept in 0.9%wt./vol NaCl solution and imaged within 24 h of oophorectomy. After OCT imaging, the ovaries were fixed in 10% formalin solution and returned to the Pathology Department for histological processing. In this study, 10 human ovaries were investigated.

The technical details, of the Fourier-domain OCT system used in this study, has been described in a previous publication.12 The system sensitivity is 109 dB and the diameter of light beam illuminated on the sample is 25 μm. Figure 1 shows the imaging acquisition configuration. The purple circle represents the imaging area with diameter of 1 mm. 90 OCT images are obtained by illuminating incident light beam at different angles ranging from 36deg to +36deg with a step of 18 deg (5 angles) at different imaging planes ranging from 0 deg to +170deg with a step of 10 deg (18 planes). The probe positions were precalculated and adjusted to assure the same slice of sample was captured on each imaging plane. The B-scan width from each image is 1 mm corresponding to 300 A-lines. The scattering coefficient is extracted by fitting the compounded OCT A-lines into a single scattering model, which was based on Beer-Lambert law, and accounts for the confocal point spread function property of sample arm optics.9,11 The fitting started about 40 μm below the tissue surface to avoid the effect of surface epithelium. The fitting depth is 0.4 mm, within which, the single scattering model is suitable and system sensitivity roll-off effect on the measurement is negligible.12 The specific fitting procedures were presented elsewhere11 in detail. For each illumination angle at each imaging plane, the average scattering coefficient was obtained from three repeated measurements. For each imaging plane, the five average scattering coefficients, calculated from five different illumination angles, formed a dataset. Mean cross correlation coefficient (MCC) was introduced to characterize the property of ovarian tissue and differentiate normal and malignant ovaries. MCC is the mean value of cross correlation coefficients between different datasets and measures the angle-resolved scattering similarity between different imaging planes. It is defined as: Display Formula

MCC=1C182[i=016j=i+117corr(dataseti,datasetj)].(1)

Graphic Jump LocationF1 :

Experimental imaging configuration of angle-resolved OCT measurements at 5 different angles of 18 different imaging planes.

To evaluate the fitting accuracy, a phantom made of polyvinyl chloride-plastisol and titanium dioxide (TiO2) powder with calibrated scattering coefficient of 1.4mm1 was measured. The estimated value, under perpendicular illumination using the model described in Sec. 2, was 1.44mm1 and lower values were obtained at larger angles of 18 and 36 deg. Figure 2 shows a comparison example between normal and malignant, ovarian tissue. The 18 datasets of angle-resolved scattering coefficient, measured from different imaging planes, were plotted as different color curves, as shown in Fig. 2(a) and 2(b), which are obtained from normal and malignant ovaries, respectively. The distribution trends, of the 18 non cancer datasets in Fig. 2(a), are quite homogeneous but this close similarity is not present in malignant ovaries, as shown in Fig. 2(b). The calculated MCC for these two imaging areas are 0.87 and 0.22, respectively, with a strong correlation noted in the nonmalignant ovaries and much lower correlation in the malignant ovaries. The error bars indicate the standard deviation of three repeated measurements. The OCT images and picrosirius red histology corresponding to one of the 18 imaging planes of the normal and malignant ovarian tissue are shown in Fig. 2(c)2(f). The red color in the histology represents the collagen fibers. There is a large discrepancy between Fig. 2(d) and 2(f) in terms of collagen content, fiber structure and directionality. The normal ovary exhibits almost exclusively collagen with interspersed stromal cells. The collagen fibers are randomly oriented and run in a wavy course. The malignant ovary exhibits less collagen content with collagen fibers unidirectionally organized into thicker bundles embedded around nests of malignant cells. The collagen, near the ovarian surface, forms a more homogenous three-dimensional network in the normal ovary than is observed in the malignant ovary. Therefore, a higher cross correlation value among the 18 angled-resolved imaging planes is expected for normal ovarian tissue and a lower value is expected for malignant ovarian tissue.

Graphic Jump LocationF2 :

Top: plots of angle-resolved scattering coefficients on 18 different OCT imaging planes from (a) normal ovarian tissue and (b) malignant ovarian tissue. Bottom: OCT images and picrosirius red histology images of normal ovarian tissue (c and d) and malignant ovarian tissue (e and f).

For the 10 ovaries studied, they are classified into normal, n=6, and malignant, n=4, categories based on pathology. The MCC value for each ovary was calculated. The scatter plot in Fig. 3(a) shows the MCC value of each ovary for normal and malignant groups, respectively. The blue star represents the normal ovary while the red circle indicates malignant ovary. These two groups are well separated by setting the threshold of MCC at 0.6. Using it as a classifier, a specificity of 100 percent and a sensitivity of 100 percent are achieved. The average values of MCC of each ovary for normal and malignant groups, along with their standard deviations, are shown in Fig. 3(b). The Student’s t-test shows a statistically significant difference between normal, 0.78±0.11, n=6, and malignant, 0.42±0.15, n=4, groups with a p value <0.01. Note that these results were obtained from a limited sample population. The accuracy needs to be further validated in a larger sample pool. Recent studies1315 have demonstrated that the polarization property of collagen fibers may significantly affect the estimated scattering coefficient in biological tissue. Further investigation on this subject is needed in future studies.

Graphic Jump LocationF3 :

(a) Scatter plot of mean cross correlation coefficient (MCC) of each ovary for normal and malignant ovary groups. (b) Statistics of normal (mean±std: 0.78±0.11, n=6) and malignant groups (mean±std: 0.42±0.15, n=4).

In this pilot study, five various illumination angles were obtained by rotating the OCT fiber and 18 OCT imaging planes were obtained by rotating the sample. By integrating light illumination at various angles over different OCT imaging planes in one scanning mechanism and keeping the sample still, this technique could easily be utilized for in vivo biopsy.

In this report, scattering properties of normal and malignant ovarian tissue were quantitatively studied by analyzing the cross correlation of angle-resolved scattering coefficients between different OCT imaging planes. Mean cross correlation coefficient was introduced, in this pilot study, to characterize and differentiate normal and malignant ovaries. A specificity of 100 percent and a sensitivity of 100 percent were achieved by setting a MCC threshold at 0.6 in this limited sample population. The different collagen characteristics effectively explain the different scattering properties in normal and malignant ovaries.

We would like to thank Dr. Melinda Sanders, Xiaohong Wang, and Tim Greenwood at Anatomic Pathology Department of the University of Connecticut Health Center for helping with the ovary pathology report and samples. This research was partially supported by the National Cancer Institute 1R01CA151570 and Donaghue Medical Research Foundation.

Jemal  A. et al., “Cancer statistics, 2008,” CA Cancer J. Clin.. 58, (2 ), 71 –96 (2008). 0007-9235 CrossRef
Arifler  D. et al., “Light scattering from collagen fiber networks micro-optical properties of normal and neoplastic stroma,” Biophys. J.. 92, (9 ), 3260 –3274 (2007). 0006-3495 CrossRef
Yang  Y. et al., “Potential role of a hybrid intraoperative probe for ovarian cancer detection and characterization,” Biomed. Opt. Express. 2, (7 ), 1918 –1930 (2011). 2156-7085 CrossRef
Brewer  M. A. et al., “Imaging of the ovary,” Technol. Cancer Res. Treat.. 3, (6 ), 617 –627 (2004). 1533-0346 
Wax  A. et al., “Measurement of angular distributions by use of low-coherence interferometry for light-scattering spectroscopy,” Opt. Lett.. 26, (6 ), 322 –324 (2001). 0146-9592 CrossRef
Terry  N. et al., “Detection of intestinal dysplasia using angle-resolved low coherence interferometry,” J. Biomed. Opt.. 16, (10 ), 106002  (2011). 1083-3668 CrossRef
Kasaragod  D. K. et al., “Comparative study of the angle-resolved backscattering properties of collagen fibers in bovine tendon and cartilage,” J. Biomed. Opt.. 16, (8 ), 080501  (2011). 1083-3668 CrossRef
Tomlins  P. H. et al., “Theory, developments, and applications of optical coherence tomography,” J. Phys. D. 38, (15 ), 2519 –2535 (2005). 0022-3727 CrossRef
Faber  D. J. et al., “Quantitative measurement of attenuation coefficients of weekly scattering media using optical coherence tomography,” Opt. Express. 12, (19 ), 4353 –4365 (2004). 1094-4087 CrossRef
Popescu  D. P. et al., “Assessment of early demineralization in teeth using the signal attenuation in optical coherence tomography,” J. Biomed. Opt.. 13, (5 ), 054053  (2008). 1083-3668 CrossRef
Yang  Y. et al., “Optical scattering coefficient estimated by optical coherence tomography correlates with collagen content in ovarian tissue,” J. Biomed. Opt.. 16, (9 ), 090504  (2011). 1083-3668 CrossRef
Yang  Y. et al., “Integrated optical coherence tomography, ultrasound and photoacoustic imaging for ovarian tissue characterization,” Biomed. Opt. Express. 2, (9 ), 2551 –2561 (2011). 2156-7085 CrossRef
Gao  W. et al., “Measuring retinal contributions to the optical Stiles-Crawford effect with optical coherence tomography,” Opt. Express. 16, (9 ), 6486 –6501 (2008). 1094-4087 CrossRef
Cense  B. et al., “Retinal imaging with polarization-sensitive optical coherence tomography and adaptive optics,” Opt. Express. 17, (24 ), 21634 –21651 (2009). 1094-4087 CrossRef
Yang  Y. et al., “Quantitative analysis of scattering coefficient and phase retardation for ovarian tissue characterization,” Biomed. Opt. Express. 3, (7 ), 1548 –1556 (2012). 2156-7085 CrossRef
© 2012 Society of Photo-Optical Instrumentation Engineers

Citation

Yi Yang ; Tianheng Wang ; Molly Brewer and Quing Zhu
"Quantitative analysis of angle-resolved scattering properties of ovarian tissue using optical coherence tomography", J. Biomed. Opt. 17(9), 090503 (Sep 06, 2012). ; http://dx.doi.org/10.1117/1.JBO.17.9.090503


Figures

Graphic Jump LocationF1 :

Experimental imaging configuration of angle-resolved OCT measurements at 5 different angles of 18 different imaging planes.

Graphic Jump LocationF2 :

Top: plots of angle-resolved scattering coefficients on 18 different OCT imaging planes from (a) normal ovarian tissue and (b) malignant ovarian tissue. Bottom: OCT images and picrosirius red histology images of normal ovarian tissue (c and d) and malignant ovarian tissue (e and f).

Graphic Jump LocationF3 :

(a) Scatter plot of mean cross correlation coefficient (MCC) of each ovary for normal and malignant ovary groups. (b) Statistics of normal (mean±std: 0.78±0.11, n=6) and malignant groups (mean±std: 0.42±0.15, n=4).

Tables

References

Jemal  A. et al., “Cancer statistics, 2008,” CA Cancer J. Clin.. 58, (2 ), 71 –96 (2008). 0007-9235 CrossRef
Arifler  D. et al., “Light scattering from collagen fiber networks micro-optical properties of normal and neoplastic stroma,” Biophys. J.. 92, (9 ), 3260 –3274 (2007). 0006-3495 CrossRef
Yang  Y. et al., “Potential role of a hybrid intraoperative probe for ovarian cancer detection and characterization,” Biomed. Opt. Express. 2, (7 ), 1918 –1930 (2011). 2156-7085 CrossRef
Brewer  M. A. et al., “Imaging of the ovary,” Technol. Cancer Res. Treat.. 3, (6 ), 617 –627 (2004). 1533-0346 
Wax  A. et al., “Measurement of angular distributions by use of low-coherence interferometry for light-scattering spectroscopy,” Opt. Lett.. 26, (6 ), 322 –324 (2001). 0146-9592 CrossRef
Terry  N. et al., “Detection of intestinal dysplasia using angle-resolved low coherence interferometry,” J. Biomed. Opt.. 16, (10 ), 106002  (2011). 1083-3668 CrossRef
Kasaragod  D. K. et al., “Comparative study of the angle-resolved backscattering properties of collagen fibers in bovine tendon and cartilage,” J. Biomed. Opt.. 16, (8 ), 080501  (2011). 1083-3668 CrossRef
Tomlins  P. H. et al., “Theory, developments, and applications of optical coherence tomography,” J. Phys. D. 38, (15 ), 2519 –2535 (2005). 0022-3727 CrossRef
Faber  D. J. et al., “Quantitative measurement of attenuation coefficients of weekly scattering media using optical coherence tomography,” Opt. Express. 12, (19 ), 4353 –4365 (2004). 1094-4087 CrossRef
Popescu  D. P. et al., “Assessment of early demineralization in teeth using the signal attenuation in optical coherence tomography,” J. Biomed. Opt.. 13, (5 ), 054053  (2008). 1083-3668 CrossRef
Yang  Y. et al., “Optical scattering coefficient estimated by optical coherence tomography correlates with collagen content in ovarian tissue,” J. Biomed. Opt.. 16, (9 ), 090504  (2011). 1083-3668 CrossRef
Yang  Y. et al., “Integrated optical coherence tomography, ultrasound and photoacoustic imaging for ovarian tissue characterization,” Biomed. Opt. Express. 2, (9 ), 2551 –2561 (2011). 2156-7085 CrossRef
Gao  W. et al., “Measuring retinal contributions to the optical Stiles-Crawford effect with optical coherence tomography,” Opt. Express. 16, (9 ), 6486 –6501 (2008). 1094-4087 CrossRef
Cense  B. et al., “Retinal imaging with polarization-sensitive optical coherence tomography and adaptive optics,” Opt. Express. 17, (24 ), 21634 –21651 (2009). 1094-4087 CrossRef
Yang  Y. et al., “Quantitative analysis of scattering coefficient and phase retardation for ovarian tissue characterization,” Biomed. Opt. Express. 3, (7 ), 1548 –1556 (2012). 2156-7085 CrossRef

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