A modified source-detector configuration for the discrimination between normal and diseased human breast based on the continuous-wave diffuse optical imaging approach: a simulation study

Mahdy, Shimaa; Hamdy, Omnia; Hassan, Mohammed

doi:10.1007/s10103-021-03440-9

Cited by 10 publications

(11 citation statements)

References 44 publications

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“…The diffusion equation approximates the radiative transport equation (RTE) for a relatively simple description of the behavior of light transport through biological tissues [ 51 ]. The finite element method can be used to determine the fluence rate distribution at the cell line surface via solving the following diffusion equation [ 48 , 53 ]: …”

Section: Methodsmentioning

confidence: 99%

“…Recently, ultra-small nanoparticles conjugated to a melanoma biomarker are utilized as a contrast agent in optical coherence tomography (OCT), showing improvement in differentiating melanoma cells from nonmelanoma cell differentiation in vitro [36]. Diffuse optical tomography is a safe, non-invasive technology that employs a laser in the red-NIR region (600 to 900 nm) to probe biological tissues/organs and characterize their absorption and scattering properties [37][38][39][40]. These properties control the light propagation in the observed tissues and differ according to the applied wavelength [41][42][43].…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, these parameters can be utilized in tissue monitoring [44] and medical diagnosis [45,46]. The technique is called "diffuse" because light propagation in tissues at that optical region follows a diffusion process due to light's dense and multiple scattering behavior [47,48]. Determining absorption and scattering parameters requires knowledge of tissue reflectance and transmittance, which can be measured using either an integrating sphere or a distant detector [49,50].…”

Section: Introductionmentioning

confidence: 99%

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Early cancer detection using the fluorescent Ashwagandha chitosan nanoparticles combined with near-infrared light diffusion characterization: in vitro study

et al. 2023

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Early cancer diagnosis through characterizing light propagation and nanotechnology increases the survival rate. The present research is aimed at evaluating the consequence of using natural nanoparticles in cancer therapy and diagnosis. Colon cancer cells were differentiated from the normal cells via investigating light diffusion combined with the fluorescence effect of the Ashwagandha chitosan nanoparticles (Ash C NPs). Ionic gelation technique synthesized the Ash C NPs. High-resolution transmission electron microscope, dynamic light scattering, and zeta potential characterized Ash C NPs. Fourier transform infrared spectroscopy analyzed Ash C NPs, chitosan, and Ashwagandha root water extract. Moreover, the MTT assay evaluated the cytotoxicity of Ash C NPs under the action of near-infrared light (NIR) irradiation. The MTT assay outcomes were statistically analyzed by Bonferroni post hoc multiple two-group comparisons using one-way variance analysis (ANOVA). Based on the Monte-Carlo simulation technique, the spatially resolved steady-state diffusely reflected light from the cancerous and healthy cells is acquired. The diffuse equation reconstructed the optical fluence rate using the finite element technique. The fluorescent effect of the nanoparticles was observed when the cells were irradiated with NIR. The MTT assay revealed a decrease in the cell viability under the action of Ash C NPs with and without laser irradiation. Colon cancer and normal cells were differentiated based on the optical characterization after laser irradiation. The light diffusion equation was successfully resolved for the fluence rate on cells’ surfaces showing different normal and cancer cells values. Ash C NPs appeared its fluorescent effect in the presence of NIR laser.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Early cancer detection using the fluorescent Ashwagandha chitosan nanoparticles combined with near-infrared light diffusion characterization: in vitro study

et al. 2023

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“…However, utilizing most of the previously mentioned mathematical methods for determining tissue's absorption and scattering characteristics requires experimental data of the tissue's optical reflectance and/or transmittance [8,9]. These experimental data can be obtained by using either integrating spheres [10][11][12] or distant detectors [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

Variations in tissue optical parameters with the incident power of an infrared laser

Hamdy

Mohammed

2022

PLoS ONE

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Infrared (IR) lasers are extensively utilized as an effective tool in many medical practices. Nevertheless, light penetration into the inspected tissue, which is highly affected by tissue optical properties, is a crucial factor for successful optical procedures. Although the optical properties are highly wavelength-dependent, they can be affected by the power of the incident laser. The present study demonstrates a considerable change in the scattering and absorption coefficients as a result of varying the incident laser power probing into biological samples at a constant laser wavelength (808 nm). The optical parameters were investigated using an integrating sphere and Kubelka-Munk model. Additionally, fluence distribution at the sample’s surface was modeled using COMSOL-multiphysics software. The experimental results were validated using Receiver Operating Characteristic (ROC) curves and Monte-Carlo simulation. The results showed that tissue scattering coefficient decreases as the incident laser power increases while the absorption coefficient experienced a slight change. Moreover, the penetration depth increases with the optical parameters. The reduction in the scattering coefficients leads to wider and more diffusive fluence rate distribution at the tissue surface. The simulation results showed a good agreement with the experimental data and revealed that tissue anisotropy may be responsible for this scattering reduction. The present findings could be considered in order for the specialists to accurately specify the laser optical dose in various biomedical applications.

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“…Integrating spheres are the most popular tools for estimating biological samples’ total transmittance and diffuse reflectance [ 15 ]. While acquiring the tissue’s diffusion data, other methods employ various configurations of light sources and detectors [ 16 , 17 ]. The gathered observations are then used to estimate optical properties in mathematical models.…”

Section: Introductionmentioning

confidence: 99%

Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties

2022

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Optical diagnostics methods are significantly appealing in biological applications since they are non-destructive, safe, and minimally invasive. Laser-induced fluorescence is a promising optical spectrochemical analytical technique widely employed for tissue classification through molecular analysis of the studied samples after excitation with appropriate short-wavelength laser light. On the other hand, diffuse optics techniques are used for tissue monitoring and differentiation based on their absorption and scattering characteristics in the red to the near-infrared spectra. Therefore, it is strongly foreseen to obtain promising results by combining these techniques. In the present work, tissues under different conditions (hydrated/dry skin and native/boiled adipose fat) were distinguished according to their fluorescence emission, absorption, and scattering properties. The selected tissues’ optical absorption and scattering parameters were determined via Kubelka–Munk mathematical model according to the experimental tissue reflectance and transmittance measurements. Such measurements were obtained using an optical configuration of integrating sphere and spectrometer at different laser wavelengths (808, 830, and 980 nm). Moreover, the diffusion equation was solved for the fluence rate at the sample surface using the finite element method. Furthermore, the accuracy of the obtained spectroscopic measurements was evaluated using partial least squares regression statistical analysis with 0.87 and 0.89 R-squared values for skin and adipose fat, respectively.

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A modified source-detector configuration for the discrimination between normal and diseased human breast based on the continuous-wave diffuse optical imaging approach: a simulation study

Cited by 10 publications

References 44 publications

Early cancer detection using the fluorescent Ashwagandha chitosan nanoparticles combined with near-infrared light diffusion characterization: in vitro study

Early cancer detection using the fluorescent Ashwagandha chitosan nanoparticles combined with near-infrared light diffusion characterization: in vitro study

Variations in tissue optical parameters with the incident power of an infrared laser

Optical Characterization of Biological Tissues Based on Fluorescence, Absorption, and Scattering Properties

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