17 research outputs found

    Relation of Rosacea and Demodex folliculorum

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    Rosacea is an inflamatory and chronic condition which affects adult skin, mainly in the center of the face. The prevalence of this disease varies according to the geographic area and race. Generally rises on elders and women. Usually the diagnostic is clinic and biopsy is not requiered. According to several studies exists a relation between the disease and a higher growth of Demodex folliculorum. This mite is usually found in human skin without symtoms. However higher growths plus predisponent factors could trigger problems. For determinating mite's presence tecnique as punch and shave biopsy are used. For quantifying mite's number the tissue is observed by microscopy tecniques. The aim of this project is to study the relation between rosacea and Demodex folliculorum presence in 16 biopsies from 16 patients with rosacea from Hospital Clínico of Salamanca. This relation is believed positive because in more of the half of the biopsies exits Demodex, moreover several studies support the statement.La rosácea constituye una condición inflamatoria y crónica de la piel en adultos. Afecta principalmente al centro de la cara. La prevalencia de esta enfermedad varía según la zona geográfica y la raza. En general aumenta con la edad y afecta más a las mujeres. Normalmente el diagnóstico es clínico y no se practican biopsias. Según algunos estudios existe una relación entre el desarrollo de la enfermedad y el aumento del número de Demodex folliculorum en la piel del paciente. Este ácaro se encuentra habitualmente en la piel de los humanos de manera asintomática. Sin embargo, un aumento de su población unido a factores predisponentes pueden desencadenar problemas./nPara determinar la presencia de ácaros se recurre a técnicas como el punch o el raspado y para cuantificar la densidad de Demodex se observa el tejido biopsiado mediante técnicas de microscopía. El objetivo del trabajo es estudiar la relación que existe entre la rosácea y la presencia de Demodex folliculorum en 16 muestras de biopsias realizadas a 16 pacientes con rosácea del Hospital Clínico de Salamanca. Esta relación se cree positiva ya que en más de la mitad nuestras muestras existe Demodex, sin olvidar que diversos estudios avalan esta relación

    Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

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    Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer types.Gerencia Regional de Salud de Castilla y León (GRS 2139/A/20); Spanish Ministry of Science, Innovation and Universities (PRE2019-089411); Instituto de Salud Carlos III (PI18/00587); Ibderdrola Spain; Junta de Castilla y León (GRS 1837/A/18). This project was funded by the Junta de Castilla y Leon, under the title project HYPERSKINCARE (Ref. GRS 1837/A/18). Lloyd Austin Courtenay is funded by the Spanish Ministry of Science, Innovation and Universities with an FPI Predoctoral Grant (Ref. PRE2019-089411) associated to project RTI2018-099850-B-I00 and the University of Salamanca. Susana Lagüela and Susana del Pozo are both funded by the Iberdrola Spain through the initiative Cátedra Iberdrola VIII Centenario of the University of Salamanca. Javier Cañueto is partially supported by the PI18/00587(Instituto de Salud Carlos III cofinanciado con fondos FEDER) and GRS 2139/A/20 (Gerencia Regional de Salud de Castilla y León

    Hyperspectral imaging and robust statistics in non-melanoma skin cancer analysis

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    [EN] Non-Melanoma skin cancer is one of the most frequent types of cancer. Early detection is encouraged so as to ensure the best treatment, Hyperspectral imaging is a promising technique for non-invasive inspection of skin lesions, however, the optimal wavelengths for these purposes are yet to be conclusively determined. A visible-near infrared hyperspectral camera with an ad-hoc built platform was used for image acquisition in the present study. Robust statistical techniques were used to conclude an optimal range between 573.45 and 779.88 nm to distinguish between healthy and non-healthy skin. Wavelengths between 429.16 and 520.17 nm were additionally found to be optimal for the differentiation between cancer typesSIGerencia Regional de Salud de Castilla y LeónSpanish Ministry of Science, Innovation and UniversitiesInstituto de Salud Carlos IIIJunta de Castilla y Leó

    Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures

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    [EN] Non-melanoma skin cancer, and basal cell carcinoma in particular, is one of the most common types of cancer. Although this type of malignancy has lower metastatic rates than other types of skin cancer, its locally destructive nature and the advantages of its timely treatment make early detection vital. The combination of multispectral imaging and artificial intelligence has arisen as a powerful tool for the detection and classification of skin cancer in a non-invasive manner. The present study uses hyperspectral images to discern between healthy and basal cell carcinoma hyperspectral signatures. Upon the combined use of convolutional neural networks, with a final support vector machine activation layer, the present study reaches up to 90% accuracy, with an area under the receiver operating characteristic curve being calculated at 0.9 as well. While the results are promising, future research should build upon a dataset with a larger number of patients.SIJunta de Castilla y Leo

    Deep Convolutional Neural Support Vector Machines for the Classification of Basal Cell Carcinoma Hyperspectral Signatures

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    Non-melanoma skin cancer, and basal cell carcinoma in particular, is one of the most common types of cancer. Although this type of malignancy has lower metastatic rates than other types of skin cancer, its locally destructive nature and the advantages of its timely treatment make early detection vital. The combination of multispectral imaging and artificial intelligence has arisen as a powerful tool for the detection and classification of skin cancer in a non-invasive manner. The present study uses hyperspectral images to discern between healthy and basal cell carcinoma hyperspectral signatures. Upon the combined use of convolutional neural networks, with a final support vector machine activation layer, the present study reaches up to 90% accuracy, with an area under the receiver operating characteristic curve being calculated at 0.9 as well. While the results are promising, future research should build upon a dataset with a larger number of patients.This project was funded by the Junta de Castilla y Leon, under the project title HYPER-SKINCARE (Ref. GRS 1837/A/18). Lloyd Austin Courtenay is funded by the Spanish Ministry of Science, Innovation and Universities with an FPI Predoctoral Grant (Ref. PRE2019-089411) associated with project RTI2018-099850-B-I00 and the University of Salamanca. Susana Lagüela and Susana Del Pozo are both funded by the University of Salamanca and Iberdrola Spain through the initiative Cátedra Iberdrola VIII Centenario of the University of Salamanca. Javier Cañueto is partially supported by PI18/00587 (Instituto de Salud Carlos III cofinanciado con fondos FEDER) and GRS 2139/A/20 (Gerencia Regional de Salud de Castilla y León).Peer reviewe

    A facility and community-based assessment of scabies in rural Malawi.

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    Background Scabies is a neglected tropical disease of the skin, causing severe itching, stigmatizing skin lesions and systemic complications. Since 2015, the DerMalawi project provide an integrated skin diseases clinics and Tele-dermatology care in Malawi. Clinic based data suggested a progressive increase in scabies cases observed. To better identify and treat individuals with scabies in the region, we shifted from a clinic-based model to a community based outreach programme. Methodology/principal findings From May 2015, DerMalawi project provide integrated skin diseases and Tele-dermatological care in the Nkhotakota and Salima health districts in Malawi. Demographic and clinical data of all patients personally attended are recorded. Due to a progressive increase in the number of cases of scabies the project shifted to a community-based outreach programme. For the community outreach activities, we conducted three visits between 2018 to 2019 and undertook screening in schools and villages of Alinafe Hospital catchment area. Treatment was offered for all the cases and school or household contacts. Scabies increased from 2.9% to 39.2% of all cases seen by the DerMalawi project at clinics between 2015 to 2018. During the community-based activities approximately 50% of the population was assessed in each of three visits. The prevalence of scabies was similar in the first two rounds, 15.4% (2392) at the first visit and 17.2% at the second visit. The prevalence of scabies appeared to be lower (2.4%) at the third visit. The prevalence of impetigo appeared unchanged and was 6.7% at the first visit and 5.2% at the final visit. Conclusions/significance Prevalence of scabies in our setting was very high suggesting that scabies is a major public health problem in parts of Malawi. Further work is required to more accurately assess the burden of disease and develop appropriate public health strategies for its control

    Estudio de proteínas reguladoras del ciclo celular en psoriasis mediante matrices tisulares

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    [EN] Background. Psoriasis is a chronic inflammatory disease characterized histologically by hyperproliferation and aberrant differentiation of epidermal keratinocytes . Keratinocytes undergo alterations in cell cycle regulation may be demonstrable by studying their expression regulatory proteins. The expression patterns of these proteins could be used as a diagnostic tool in cases where the clinical , histopathology and clinicopathologic correlation is not enough. Objective . To evaluate the immunohistochemical expression of 11 cell cycle proteins in skin samples from patients with psoriasis and other inflammatory dermatoses compare . Methods . By using the technique of tissue arrays cyclin E expression , cyclin D1 , cyclin A, p63 , p53 , p27 , p21 , CDK1 , CDK2, Ki67 and Bcl-2 in 70 samples from patients with psoriasis ( cases ) was evaluated and compared 63 biopsies from other skin diseases : lupus erythematosus , pityriasis rosea, pityriasis lichenoides and eczema ( controls). Results . Ten of the eleven cell cycle proteins studied in our series showed statistically significant differences between cases (psoriasis ) and controls ( no psoriasis) . These associations are listed in the accompanying table. p21 , p53 and cyclin D1 revealed inverse association , ie positivity was more frequent in the control group. The remaining proteins studied showed a pattern of more frequent in cases ( psoriasis) positivity , with p63 , cyclin E, CDK2 and p27 proteins with greater intensity of association with the case group. Conclusions . Psoriasis presents immunohistochemical expression patterns of the studied cell cycle proteins different from other skin inflammatory diseases. These findings support the theory of the abnormal regulation of the cell cycle of keratinocytes in psoriasis affected . These differences in the patterns of immunohistochemical expression could be used as a diagnostic tool in cases where the clinicopathological correlation is not enough.[ES] Antecedentes. La psoriasis es una enfermedad inflamatoria crónica caracterizada histológicamente por la hiperproliferación y la diferenciación anómala de los queratinocitos epidérmicos. Los queratinocitos sufren alteraciones en la regulación del ciclo celular que pueden ser demostrables mediante el estudio de expresión de sus proteínas reguladoras. Los patrones de expresión de estas proteínas podrían ser empleados como herramienta diagnóstica en casos donde la clínica, la histopatología y la correlación clinicopatológica no sea suficiente. Objetivo. Evaluar la expresión inmunohistoquímica de 11 proteínas del ciclo celular en muestras cutáneas de pacientes con psoriasis y comparar con otras dermatosis inflamatorias. Métodos. Empleando la técnica de matrices tisulares se valoró la expresión de ciclina E, ciclina D1, ciclina A, p63, p53, p27, p21, CDK1, CDK2, ki67 y bcl-2 en 70 muestras de pacientes con psoriasis (casos) y se comparó con 63 biopsias de otras enfermedades cutáneas: lupus eritematoso, pitiriasis rosada, pitiriasis liquenoide y eccema (controles). Resultados. Diez de las once proteínas del ciclo celular estudiadas en nuestra serie mostraron diferencias estadísticamente significativas entre los casos (psoriasis) y controles (no psoriasis). Estas asociaciones se detallan en la tabla adjunta . p21, p53 y ciclina D1 revelaron asociación inversa, es decir, su positividad resultó más frecuente en el grupo control. El resto de proteínas estudiadas mostraron un patrón de positividad más frecuente en los casos (psoriasis), siendo p63, ciclina E, p27 y CDK2 las proteínas con mayor intensidad de asociación con el grupo casos. Conclusiones. La psoriasis presenta patrones de expresión inmunohistoquímica de las proteínas del ciclo celular estudiadas diferentes a los de otras enfermedades inflamatorias cutáneas. Estos hallazgos apoyan la teoría de la regulación anómala del ciclo celular en los queratinocitos afectados de psoriasis. Estas diferencias en los patrones de expresión inmunohistoquímica podría emplearse como herramienta diagnóstica en aquellos casos donde la correlación clinicopatológica no es suficiente
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