Sources of scattering in cervical tissue: determination of the scattering coefficient by confocal microscopy

Collier, Tom; Follen, Michele; Malpica, Anaís; Richards‐Kortum, Rebecca

doi:10.1364/ao.44.002072

Cited by 64 publications

(51 citation statements)

References 50 publications

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“…Cancerous areas were visibly distinguishable from surrounding non-cancerous tissue. Stroma tissue was seen to be highly scattering, in agreement with previously reported results [4].…”

Section: Discussionsupporting

confidence: 91%

See 1 more Smart Citation

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

McLaughlin¹,

Scolaro²,

Robbins

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract.The lymphatic system is a common route for the spread of cancer and the identification of lymph node metastases is a key task during cancer surgery. This paper demonstrates the use of optical coherence tomography to construct parametric images of lymph nodes. It describes a method to automatically estimate the optical attenuation coefficient of tissue. By mapping the optical attenuation coefficient at each location in the scan, it is possible to construct a parametric image indicating variations in tissue type. The algorithm is applied to ex vivo samples of human axillary lymph nodes and validated against a histological gold standard. Results are shown illustrating the variation in optical properties between cancerous and healthy tissue.

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“…Cancerous areas were visibly distinguishable from surrounding non-cancerous tissue. Stroma tissue was seen to be highly scattering, in agreement with previously reported results [4].…”

Section: Discussionsupporting

confidence: 91%

“…The signal intensity I(z) at a depth z can be expressed as follows [4]: (1) where I 0 is the incident intensity, R(z) is the depth-dependent reflectivity, and µ is the observed attenuation coefficient of the tissue. The factor of 2 arises because the light must both travel into the tissue and return to the detector.…”

Section: Optical Properties Of Tissuementioning

confidence: 99%

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

McLaughlin¹,

Scolaro²,

Robbins

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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“…The scattering coefficients of the superficial and basal epithelial layer were derived from reflectance confocal measurements of cervical epithelium. 22 In particular, the scattering coefficient extracted from keratinized cervical epithelium is used to represent superficial oral scattering, while the scattering coefficient from basal cervical cells is used here for the basal epithelial layer. The scattering coefficient of the intermediate epithelial layer was derived from reflectance confocal images of normal oral epithelium.…”

Section: Tissue Geometry and Model Input Parametersmentioning

confidence: 99%

“…[21][22][23] Results from these studies suggest that oral epithelium can be divided into three layers with different optical properties. The superficial oral epithelium is occupied by a highly scattering keratinized layer, which varies in thickness depending on the specific anatomical oral site or the presence of hyperkeratosis.…”

Section: Introductionmentioning

confidence: 99%

Monte Carlo model to describe depth selective fluorescence spectra of epithelial tissue: applications for diagnosis of oral precancer

et al. 2008

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We present a Monte Carlo model to predict fluorescence spectra of the oral mucosa obtained with a depth-selective fiber optic probe as a function of tissue optical properties. A model sensitivity analysis determines how variations in optical parameters associated with neoplastic development influence the intensity and shape of spectra, and elucidates the biological basis for differences in spectra from normal and premalignant oral sites. Predictions indicate that spectra of oral mucosa collected with a depth-selective probe are affected by variations in epithelial optical properties, and to a lesser extent, by changes in superficial stromal parameters, but not by changes in the optical properties of deeper stroma. The depth selective probe offers enhanced detection of epithelial fluorescence, with 90% of the detected signal originating from the epithelium and superficial stroma. Predicted depth-selective spectra are in good agreement with measured average spectra from normal and dysplastic oral sites. Changes in parameters associated with dysplastic progression lead to a decreased fluorescence intensity and a shift of the spectra to longer emission wavelengths. Decreased fluorescence is due to a drop in detected stromal photons, whereas the shift of spectral shape is attributed to an increased fraction of detected photons arising in the epithelium.

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“…Because of the characteristic in the absorption spectrum of hemoglobin, optical absorption around the wavelengths of 420 nm , 542 nm and 577 nm is increased remarkably. The application of acetic acid elevates the mean scattering coefficient of precancerous tissue approximately three times that of normal epithelium, making abnormal tissue appear whiter than normal, which is a consequence of the increased nucleus density and size, as well as the potential change of the chromatin characters [8,9]. The decreased stromal scattering, which is associated with a degradation of collagen fibers, also can be observed in precancerous cervical tissue [10].…”

Section: Introductionmentioning

confidence: 99%

Detection of cervical cancer based on photoacoustic imaging—the in-vitro results

Peng

Wang

et al. 2014

Biomed. Opt. Express

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Abstract:In current clinical practice, the diagnosis of cervical cancer (CC) is mainly through the cervical screening followed by a necessary biopsy, but this method is labor consuming and expensive, and can only detect superficial lesions around the external cervical orifice. In contrast, photoacoustic imaging (PAI) is sensitive to the abnormal angiogenesis deep in the biological tissue, and may be capable for the intact scanning both around the external orifice and in cervical canal. In this paper, we for the first time put forward the photoacoustic diagnosis of CC. A total of 30 invitro experiments were carried out in this study, and the obtained depth maximum amplitude projection (DMAP) images were analyzed to evaluate the extent of the angiogenesis for different clinical stages of CC. Stronger absorption from the cervical lesions is observed relative to that of normal tissue. Paired t-test indicates that the difference in mean optical absorption (MOA) between normal tissue and cervical lesion has statistical significance with a confidential coefficient of 0.05. Statistical results also show that the MOAs of the cervical lesions are closely related to the severity of CC. These results imply that PAI may have great utility in the clinical diagnosis of CC. Phys. 39(11), 6895-6899 (2012).

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Sources of scattering in cervical tissue: determination of the scattering coefficient by confocal microscopy

Cited by 64 publications

References 50 publications

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

Mapping Tissue Optical Attenuation to Identify Cancer Using Optical Coherence Tomography

Monte Carlo model to describe depth selective fluorescence spectra of epithelial tissue: applications for diagnosis of oral precancer

Detection of cervical cancer based on photoacoustic imaging—the in-vitro results

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