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1.
J Invest Dermatol ; 133(2): 325-33, 2013 Feb.
Artículo en Inglés | MEDLINE | ID: mdl-23096705

RESUMEN

C57BL/6 mice develop dermatitis and scarring alopecia resembling human cicatricial alopecias (CAs), particularly the central centrifugal CA (CCCA) type. To evaluate the role of retinoids in CA, the expression of retinoid metabolism components were examined in these mice with mild, moderate, or severe CA compared with hair cycle-matched mice with no disease. Two feeding studies were conducted with dams fed either NIH 31 diet (study 1) or AIN93G diet (study 2). Adult mice were fed AIN93M diet with 4 (recommended), 28, or 56 IU vitamin A g(-1) diet. Feeding the AIN93M diet to adults increased CA frequency over NIH 31 fed mice. Increased follicular dystrophy was seen in study 1 and increased dermal scars in study 2 in mice fed the 28 IU diet. These results indicate that retinoid metabolism is altered in CA in C57BL/6J mice that require precise levels of dietary vitamin A. Human patients with CCCA, pseudopelade (end-stage scarring), and controls with no alopecia were also studied. Many retinoid metabolism proteins were increased in mild CCCA, but were undetectable in pseudopelade. Studies to determine whether these dietary alterations in retinoid metabolism seen in C57BL/6J mice are also involved in different types of human CA are needed.


Asunto(s)
Alopecia/metabolismo , Cicatriz/metabolismo , Retinoides/metabolismo , Vitamina A/farmacocinética , 3-Hidroxiesteroide Deshidrogenasas/metabolismo , Factores de Edad , Alopecia/tratamiento farmacológico , Alopecia/patología , Alimentación Animal , Animales , Biopsia , Cicatriz/tratamiento farmacológico , Cicatriz/patología , Dermatitis/tratamiento farmacológico , Dermatitis/metabolismo , Dermatitis/patología , Modelos Animales de Enfermedad , Femenino , Humanos , Ratones , Ratones Endogámicos C57BL , Receptores de Ácido Retinoico/metabolismo , Receptor alfa de Ácido Retinoico , Retinoides/biosíntesis , Índice de Severidad de la Enfermedad , Transducción de Señal/fisiología
2.
J Ultrasound Med ; 25(12): 1577-81, 2006 Dec.
Artículo en Inglés | MEDLINE | ID: mdl-17121953

RESUMEN

OBJECTIVE: The purpose of this study was to assess the diagnostic accuracy of quantitated color Doppler sonography in differentiating benign from malignant ovarian tumors, with the use of tumor histologic examination as a reference standard. METHODS: The vascularity of 38 ovarian masses (30 benign and 8 malignant) as quantitatively depicted with color Doppler sonography was analyzed with a readily available software program (ImageJ; National Institutes of Health, Bethesda, MD). The following quantitative sonographic criteria for tumor vascularity were analyzed: the vascularity index (VI) quantified the difference between the total number of pixels and the number of pixels containing no color/totalx100, whereas the power-weighted pixel density (PWPD) weighted the strength of the signal/total. The accuracy of sonographic criteria for malignant ovarian tumors was evaluated with univariate analysis. Results of tumor histologic examination were used as proof of the final diagnosis. RESULTS: The mean values of VI and PWPD were significantly different in benign versus malignant ovarian lesions (VI, 1.3+/-1.6 versus 4.7+/-3.9; P<.01; PWPD, 2338+/-3305 versus 9403+/-9946; P<.05). With a VI of greater than 2.3, sensitivity of 75% and specificity of 90% were obtained. When combined with a PWPD of greater than 4555, sensitivity improved to 88%, and specificity improved to 93%. Morphologic analysis had sensitivity of 72% and specificity of 76% for malignancies. CONCLUSIONS: Quantitated color Doppler sonography was found to be helpful for distinguishing benign from malignant ovarian masses. However, the wide range in values makes it most useful as an adjunct to morphologic assessment. It is anticipated that quantitated color Doppler sonography could result in a slight improvement in detection of ovarian malignancies.


Asunto(s)
Neoplasias Ováricas/irrigación sanguínea , Neoplasias Ováricas/diagnóstico por imagen , Femenino , Humanos , Enfermedades del Ovario/diagnóstico por imagen , Neoplasias Ováricas/patología , Sensibilidad y Especificidad , Programas Informáticos , Ultrasonografía
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