Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

McLaughlin, Robert A.; Scolaro, Loretta; Robbins, Peter; Saunders, Christobel; Jacques, Steven L.; Sampson, David D.

doi:10.1007/978-3-642-04271-3_80

Cited by 16 publications

(16 citation statements)

References 12 publications

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“…Similar studies on lesions in the ureter [ 30 ], kidney [ 4 , 33 ], vulva [ 5 ], oral tissue [ 6 ] and lymph node metastasis [ 7 ] confi rmed the ability of OCT to distinguish tissue types based on μ oct . However, an initial study by Cauberg et al on ex vivo human bladder urothelial biopsies showed that factors typical for ex vivo settings (e.g.…”

Section: Attenuation Coeffi Cientsupporting

confidence: 53%

“…These differences can be elucidated from the light scattering properties [ 2 ] that are measured from the signal decrease with depth from OCT images, [ 3 ] showed differences in scattering properties between normal and cancerous urothelium. Similar studies on lesions in the kidney [ 4 ], vulva [ 5 ], oral tissue [ 6 ] and lymph node metastasis [ 7 ] confi rmed the ability of OCT to distinguish tissue types based on μ oct . However, initial studies on ex vivo human bladder urothelial biopsies showed that factors typical for ex vivo settings (e.g.…”

Section: Functional Octmentioning

confidence: 63%

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Optical Coherence Tomography in Bladder Cancer

Bus

Reijke

Rosette

2014

Advances in Image-Guided Urologic Surgery

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Section: Attenuation Coeffi Cientsupporting

confidence: 53%

Section: Functional Octmentioning

confidence: 63%

Optical Coherence Tomography in Bladder Cancer

Bus

Reijke

Rosette

2014

Advances in Image-Guided Urologic Surgery

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“…The absolute intensity values in an OCT data set are a function of both tissue type and imaging parameters such as tissue depth, power and incident angle of the light source, imaging optics, and the effects of overlying tissue. Parametric image processing techniques for OCT (14) have been proposed to remove these imaging variations and to provide absolute quantification of the distinction between healthy and malignant tissue. In addition, OCT imaging is performed on fresh tissue, whereas subsequent histologic analysis requires fixation and further processing.…”

Section: Discussionmentioning

confidence: 99%

Imaging of Human Lymph Nodes Using Optical Coherence Tomography: Potential for Staging Cancer

et al. 2010

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Histologic assessment is the gold standard technique for the identification of metastatic involvement of lymph nodes in malignant disease, but can only be performed ex vivo and often results in the unnecessary excision of healthy lymph nodes, leading to complications such as lymphedema. Optical coherence tomography (OCT) is a high-resolution, near-IR imaging modality capable of visualizing microscopic features within tissue. OCT has the potential to provide in vivo assessment of tissue involvement by cancer. In this morphologic study, we show the capability of OCT to image nodal microarchitecture through an assessment of fresh, unstained ex vivo lymph node samples. Examples include both benign human axillary lymph nodes and nodes containing metastatic breast carcinoma. Through accurate correlation with the histologic gold standard, OCT is shown to enable differentiation of lymph node tissue from surrounding adipose tissue, reveal nodal structures such as germinal centers and intranodal vessels, and show both diffuse and well circumscribed patterns of metastatic node involvement. Cancer Res; 70(7); 2579-84. ©2010 AACR.

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“…26 During carcinogenesis, a cell is subjected to cellular changes which alter the light scattering properties. Quantification of OCT images using μ oct measured from lesions in the ureter, 12 kidney, 11 vulva, 18 oral tissue, 27 and lymph node metastases 28 confirmed the ability of OCT to distinguish between tissue types based on μ oct . We hypothesize that the attenuation coefficient also correlates with cellular properties of prostate tissue.…”

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confidence: 59%

Prostate cancer diagnosis: the feasibility of needle-based optical coherence tomography

et al. 2015

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Abstract. The objective of this study is to demonstrate the feasibility of needle-based optical coherence tomography (OCT) and functional analysis of OCT data along the full pullback trajectory of the OCT measurement in the prostate, correlated with pathology. OCT images were recorded using a commercially available C7-XR™ OCT Intravascular Imaging System interfaced to a C7 Dragonfly™ intravascular 0.9-mm-diameter imaging probe. A computer program was constructed for automated image attenuation analysis. First, calibration of the OCT system for both the point spread function and the system roll-off was achieved by measurement of the OCT signal attenuation from an extremely weakly scattering medium (Intralipid® 0.0005 volume%). Second, the data were arranged in 31 radial wedges (pie slices) per circular segments consisting of 16 A-scans per wedge and 5 axial B-scans, resulting in an average A-scan per wedge. Third, the decay of the OCT signal is analyzed over 50 pixels (500 μm) in depth, starting from the first found maximum data point. Fourth, for visualization, the data were grouped with a corresponding color representing a specific μ oct range according to their attenuation coefficient. Finally, the analyses were compared to histopathology. To ensure that each single use sterile imaging probe is comparable to the measurements of the other imaging probes, the probe-to-probe variations were analyzed by measuring attenuation coefficients of 0.03, 6.5, 11.4, 17, and 22.7 volume% Intralipid®. Experiments were repeated five times per probe for four probes. Inter-and intraprobe variation in the measured attenuation of Intralipid samples with scattering properties similar to that of the prostate was <8% of the mean values. Mean attenuation coefficients in the prostate were 3.8 mmfor parts of the tissue that were classified as benign (SD: 0.8 mm −1 , minimum: 2.2 mm −1 , maximum: 8.9 mm −1 ) and 4.1 mm −1 for parts of tissue that were classified as malignant (SD: 1.2 mm −1 , minimum: 2.5 mm −1 , maximum: 9.0 mm −1 ). In benign areas, the tissue looked homogeneous, whereas in malignant areas, small glandular structures were seen. However, not all areas in which a high attenuation coefficient became apparent corresponded to areas of prostate cancer. This paper describes the first in-tissue needle-based OCT imaging and three-dimensional optical attenuation analysis of prostate tissue that indicates a correlation with pathology. Fully automated attenuation coefficient analysis was performed at 1300 nm over the full pullback. Correlation with pathology was achieved by coregistration of three-dimensional (3-D) OCT attenuation maps with 3-D pathology of the prostate. This may contribute to the current challenge of prostate imaging and the rising interest in focal therapy for reduction of side effects occurring with current therapies.

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Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

Cited by 16 publications

References 12 publications

Optical Coherence Tomography in Bladder Cancer

Optical Coherence Tomography in Bladder Cancer

Imaging of Human Lymph Nodes Using Optical Coherence Tomography: Potential for Staging Cancer

Prostate cancer diagnosis: the feasibility of needle-based optical coherence tomography

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