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1.
Chinese Journal of Dermatology ; (12): 639-642, 2019.
Artículo en Chino | WPRIM | ID: wpr-797849

RESUMEN

Objective@#To evaluate the accuracy of automated fluorescence microscopic imaging and computer-aided diagnosis system (AFMICADS) in the auxiliary diagnosis of superficial cutaneous fungal infections.@*Methods@#Totally, 106 outpatients and inpatients with suspected superficial fungal infections were enrolled from clinical departments of Union Hospital, Tongji Medical College, Huazhong University of Science and Technology between July 2018 and September 2018. A total of 126 specimens were collected, including 83 skin scales and 43 nail parings. Each specimen was divided into 3 groups to be examined by conventional fungal microscopy, culture with modified Sabouraud dextrose agar and fluorescence microscopy (artificial fluorescence microscopy and AFMICADS-based fluorescence microscopy) respectively. A positive result was defined as that conventional fungal microscopy and/or fungal culture was positive. Consistency rate, sensitivity and specificity of the 3 microscopic methods were calculated. Statistical analysis was carried out with SPSS 10.0 software by using McNemar test and Kappa test for analyzing difference in the positive rate, as well as consistency, between the 3 microscopic methods and the positive standard, and by using efficiency test for comparing the consistency rate among the 3 microscopic methods.@*Results@#Of 126 specimens, 124 (98.4%) were positive for artificial fluorescence microscopy, and 123 (97.6%) for AFMICADS-based fluorescence microscopy. Both positive rates of the above 2 microscopic methods were significantly higher than the positive rate of the positive standard (77.8%, both P < 0.001) . The sensitivity, specificity and consistency rate of AFMICADS-based fluorescence microscopy were 100%, 10.7% and 80.2% respectively, and those of artificial fluorescence microscopy were 100%, 7.1% and 79.4% respectively. Additionally, no significant difference in the consistency was observed between the AFMICADS-based and artificial fluorescence microscopy (P > 0.05) .@*Conclusion@#The accuracy of AFMICADS-based fluorescence microscopy in the diagnosis of superficial cutaneous fungal infections is similar to that of artificial fluorescence microscopy.

2.
Chinese Journal of Dermatology ; (12): 639-642, 2019.
Artículo en Chino | WPRIM | ID: wpr-755820

RESUMEN

Objective To evaluate the accuracy of automated fluorescence microscopic imaging and computer-aided diagnosis system (AFMICADS) in the auxiliary diagnosis of superficial cutaneous fungal infections.Methods Totally,106 outpatients and inpatients with suspected superficial fungal infections were enrolled from clinical departments of Union Hospital,Tongji Medical College,Huazhong University of Science and Technology between July 2018 and September 2018.A total of 126 specimens were collected,including 83 skin scales and 43 nail parings.Each specimen was divided into 3 groups to be examined by conventional fungal microscopy,culture with modified Sabouraud dextrose agar and fluorescence microscopy (artificial fluorescence microscopy and AFMICADS-based fluorescence microscopy) respectively.A positive result was defined as that conventional fungal microscopy and/or fungal culture was positive.Consistency rate,sensitivity and specificity of the 3 microscopic methods were calculated.Statistical analysis was carried out with SPSS 10.0 software by using McNemar test and Kappa test for analyzing difference in the positive rate,as well as consistency,between the 3 microscopic methods and the positive standard,and by using efficiency test for comparing the consistency rate among the 3 microscopic methods.Results Of 126 specimens,124 (98.4%) were positive for artificial fluorescence microscopy,and 123 (97.6%) for AFMICADS-based fluorescence microscopy.Both positive rates of the above 2 microscopic methods were significantly higher than the positive rate of the positive standard (77.8%,both P < 0.001).The sensitivity,specificity and consistency rate of AFMICADS-based fluorescence microscopy were 100%,10.7% and 80.2% respectively,and those of artificial fluorescence microscopy were 100%,7.1% and 79.4% respectively.Additionally,no significant difference in the consistency was observed between the AFMICADS-based and artificial fluorescence microscopy (P >0.05).Conclusion The accuracy of AFMICADS-based fluorescence microscopy in the diagnosis of superficial cutaneous fungal infections is similar to that of artificial fluorescence microscopy.

3.
Korean Leprosy Bulletin ; : 21-33, 2012.
Artículo en Coreano | WPRIM | ID: wpr-115473

RESUMEN

The Ziehl-Neelson's AFB staining method was mainly used for the AFB observation of the mycobacteria. However, this method has several issues of false negative results, and hence a comparative experiment of the Ziehl-Neelson's AFB staining and the fluorescence staining method was done to remedy this problem. As the fluorescence staining method brightly highlights the AFB in a dark field, and also as it is observed with the lower power objective, it is a method that can better the observation and shorten the time of observation as well. The fluorescence staining method that was used in this experiment did a comparative analysis of the Auramine O-Rhodamine B and the Acridine Orange. The results showed that although the Auramine O-Rhodamine B allows easier observation of the AFB with a high fluorescence expression rate for the multibacillary leprosy sample, the darkness on the periphery makes it hard to observe anything else, while also making it hard to observe the cell changes and paucibacillary leprosy of the AFB. However, the Acridine Orange staining method highlights the cells in dark green and changes the color of the AFB from bright red to orange making it easier to observe bacilli. The results of the study show that the Acridine Orange method is superior to the Auramine O-Rhodamine B method in detecting acid fast bacilli in specimen.


Asunto(s)
Naranja de Acridina , Benzofenoneido , Citrus sinensis , Oscuridad , Fluorescencia , Lepra Multibacilar , Lepra Paucibacilar , Mycobacterium , Mycobacterium leprae
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