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1.
Chinese Pharmacological Bulletin ; (12): 607-611, 2017.
Artigo em Chinês | WPRIM | ID: wpr-615849

RESUMO

Polypeptide fragment of rabies virus glycoprotein(RVG)has become one of the most popular polypeptides in drug delivery field,because of its advantages of neurotropiam,penetration of blood-brain barrier and biosafety.Polypeptide fragment of RVG can directly deliver proteins and nucleic acids into brain.Additionally,when polypeptide fragment of RVG couples with drug-loading polymers,nanoparticles or liposomes,it can mediate the latters into brain.The application of the RVG polypeptide fragment provides a safe and effective approach for the treatment of brain diseases with biomolecules,such as chemicals,proteins.plasmids,siRNA,miRNA.

2.
Artigo em Inglês | IMSEAR | ID: sea-140020

RESUMO

Background: Digital radiography has so far not resulted in improved rates of proximal caries detection. Historically, automated caries detection tools have been largely academic. Opinions regarding the performance of the only such commercially available tool, viz., Logicon caries Detector (LCD) have been equivocal. This study was conducted to evaluate the reliability of LCD in the detection and depth assessment of proximal caries. Materials and Methods: Digital images were obtained of 100 proximal tooth surfaces using the Kodak RVG 5000 sensor and analyzed by three observers. The images were then analyzed by the principal investigator using the LCD software. The teeth were then sectioned and magnified photographic images were obtained which were taken as the gold standard. All the grades were entered in proformas and the data were statistically analyzed using the chi-square test. Five parameters of reliability were calculated. Results: The sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy of LCD for the grade No caries were 33, 96, 73, 82, and 81%, respectively; for the grade Enamel caries were 5, 97, 33, 80, and 79%, respectively; and for the grade Dentin caries were 100, 96, 50, 100, and 96%, respectively. Conclusions: In conclusion, LCD appears to be more reliable in ruling out (both enamel and dentin) caries than in detecting caries.


Assuntos
Dente Pré-Molar/patologia , Dente Pré-Molar/diagnóstico por imagem , Cárie Dentária/patologia , Cárie Dentária/diagnóstico por imagem , Esmalte Dentário/patologia , Esmalte Dentário/diagnóstico por imagem , Dentina/patologia , Dentina/diagnóstico por imagem , Humanos , Processamento de Imagem Assistida por Computador/normas , Processamento de Imagem Assistida por Computador/estatística & dados numéricos , Dente Molar/patologia , Dente Molar/diagnóstico por imagem , Variações Dependentes do Observador , Fotografia Dentária , Valor Preditivo dos Testes , Interpretação de Imagem Radiográfica Assistida por Computador/normas , Radiografia Dentária Digital/normas , Radiografia Dentária Digital/estatística & dados numéricos , Sensibilidade e Especificidade , Validação de Programas de Computador
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