Kidney stones are a global problem that cause physical pain and may lead to chronic kidney disease. Recent statistics indicate the incidence of kidney stones is increasing worldwide, and usually varies from 2 to 20% depending on countries1 and especially on diabetes or obesity incidence in such countries. Intra-operative (i.e. in vivo) characterization of kidney stones is at stake for a better diagnostic management of patients. Such a goal could be achieved by optical methods. The current study aims at evaluating if absorption and scattering coefficients measurements combined to automatic classification based on machine-learning methods could be of interest in assisting urologists with kidney stones characterization. Absorption and scattering coefficients were measured using the inverse adding doubling method (IAD). This method based on solving inverse problem takes as input data measurements acquired on a double integrating spheres optical bench developed in the CRAN laboratory. The dataset is made of absorption and scattering coefficients measured every 10 nm from 535 to 845 nm on 16 kidney stones: 4 kidney stones in each diagnostic class under consideration (1a, 3a, 4c and 5a). Class 3a (5a respectively) kidney stones display the highest (lowest resp.) absorption and scattering coefficients: 3 and 30 mm-1 (1 and 10 mm-1 respectively) at 650 nm. Support-vector machine (SVM) and k-nearest neighbors (k-NN) methods were used to perform automatic classification: k-NN reached 98%-accuracy in the four-class confusion matrix when considering both absorption and scattering coefficients. Although a high intra-class variability was observed and may be seen as the main limitation of the study, this good classification rate is worth taking into account to keep on investigating this method on more kidney stones per class as a potential tool for diagnostic assistance for urologists.
Whether for diagnosis, therapy or surgery, the estimation of optical properties (OP) of biological tissues is now of interest in the medical context. Indeed, optical methods are increasingly used in modern medicine, and these require knowledge of the behavior of light within the tissue. The presentation contribution aims to validate the estimation process of absorption and scattering coefficients values obtained using spatially-resolved diffuse reflectance (SR-DR) spectroscopy by comparing the obtained results with those of the reference double integrating spheres (DIS) technique. A set of nine optical phantoms based on methylene blue and intralipids allowing to tune absorption and scattering properties was prepared, from which diffuse reflectance spectra and integrating spheres measurements were acquired respectively. Work presented here reports both estimations approaches developed and highlights the relative spreads of optical properties between DR, DIS and theoretical values (i.e. according scatterer and absorber concentrations introduced in phantoms). This validation on optical bench will allow to later estimate the OP from in-vivo DR spectra acquired on skin samples, to assist the surgeon in non-invasively diagnosing the health status of a tissue around a skin carcinoma
In the context of optical biopsy for the diagnosis of skin carcinoma, spatially resolved diffuse reflectance (SR-DR) spectroscopy is widely used to discern healthy from lesional tissues. The estimation of diagnostically relevant optical properties by means of inverse problem solving is one way to exploit the acquired clinical spectra. This method requires the comparison between the latter spectra collected with a medical device (MD), and the ones generated by the photons transport numerical simulations. However, this comparison is typically limited to shape comparison (spectra are normalized before a term-by-term comparison) due to non-standardization of the experimental DR spectra, for which magnitude depends on the multifiber optics probe geometry and on a preliminary calibration measurement performed on a spectralon DR standard illuminated at a given distance. This study proposes to establish a corrective factor to overcome this dependence, and thus obtain clinical spectra whose intensity unit is identical to the simulated ones, i.e., the ratio between photons sent by the emitting fiber and captured by the collecting fibers. The photometric calculations leading to a theoretical value of this factor for various calibration measurement geometries are presented. Experimental validations performed on optical phantoms (with optical properties confirmed from double integrating sphere measurements) using an existing SR-DR MD reveal encouraging fitting between experimental and simulated calculation of such corrective factor. Those results highlight the interest of the method for the standardization of clinically acquired DR spectra i.e. their comparison in terms of absolute magnitudes.
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