02211nas a2200301   4500000000100000008004100001653001200042653002400054653002700078653001600105653003100121100001300152700001300165700001200178700001700190700001500207700001600222700001300238700001300251700001400264700001500278245010700293856003300400300000800433490000700441520144700448022001401895       2018                            d10aleprosy10aTuberculoid leprosy10aGranulomatous diseases10aSarcoidosis10aSecond-harmonic generation1 aUtino FL1 aGarcia M1 aVelho P1 aFrança AFEC1 aStelini RF1 aPelegati VB1 aCesar CL1 aSouza EM1 aCintra ML1 aDamiani GV00aSecond-harmonic generation imaging analysis can help distinguish sarcoidosis from tuberculoid leprosy.  uhttps://tinyurl.com/ydx3yxqg  a1-70 v233 a<p>Sarcoidosis and tuberculoid leprosy (TL) are prototypes of granulomatous inflammation in dermatology, which embody one of the histopathology limitations in distinguishing some diseases. Recent advances in the use of nonlinear optical microscopy in skin have enabled techniques, such as second-harmonic generation (SHG), to become powerful tools to study the physical and biochemical properties of skin. We use SHG images to analyze the collagen network, to distinguish differences between sarcoidosis and TL granulomas. SHG images obtained from skin biopsies of 33 patients with TL and 24 with sarcoidosis retrospectively were analyzed using first-order statistics (FOS) and second-order statistics, such as gray-level co-occurrence matrix (GLCM). Among the four parameters evaluated (optical density, entropy, contrast, and second angular moment), only contrast demonstrated statistical significance, being higher in sarcoidosis (p  =  0.02; 4908.31 versus 2822.17). The results may indicate insufficient differentiating power for most tested FOS and GLCM parameters in classifying sarcoidosis and TL granulomas, when used individually. But in combination with histopathology (H&amp;E and complementary stains, such as silver and fast acid stains), SHG analysis, like contrast, can contribute to distinguishing between these diseases. This study can provide a way to evaluate collagen distribution in granulomatous diseases.</p>
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