Detection effect of an automatic identification system of Schistosoma japonicum miracidia

Abstract

To evaluate the effect of an automatic identification system of Schistosoma japonicum miracidia, and compare it with the traditional eye detection method in the simulation field. A total of 260 fecal samples were collected from schistosomiasis non-endemic areas, and the test sample bottles containing schistosome miracidia were prepared according to different experimental needs. Thirty fecal samples for the sensitivity test were separately added with five fresh miracidia per sample, and then the mixed samples were detected by two experienced technicians (with more than 15 years' traditional test experience) or the automatic system. The positive detection rates were compared between the two methods. Thirty fecal samples for repetition test were separately added with ten fresh miracidia per sample, and then the mixed samples were detected separately with the automatic identification system by two experienced technicians. The results were compared between two persons. The two methods including the automatic identification system and the traditional eye detection method were carried out blindly with totally 200 samples in the simulation field. There were three groups (each with 30 samples) : Group 1 with more than 21 fresh miracidia, Group 2 with 6 to 20 fresh miracidia, and Group 3 with 1 to 5 fresh miracidia. The other 110 samples were as a negative group. The detection time, accuracy, missed detection rate, and false detection rate of the two methods were statistically compared. The positive detection rates of the 30 positive samples were 43.33% and 33.33% by the two technicians with the traditional eye detection method, respectively, while the detection rate was 80.00% by the automatic identification system, and the difference was statistically significant (χ2 = 7.05, χ2 = 12.97, both P < 0.01). Thirty positive samples were detected by the two technicians using the same automatic identification system, and the positive detection rates of the two were 96.67% and 86.67%, respectively, with no significant difference (χ2 = 0.27, P > 0.05). The experiments showed that the correct detection rate of the positive samples was 98.00% by the automatic identification system, which was higher than 79.75% by the traditional eye detection method. The detection time of the automatic identification system was shortened by half compared with that of the traditional eye detection method. The missed detection rate, and false detection rate of the automatic identification system were 2.22% and 1.82%, respectively, which were much lower than 35.56% and 7.73% of the traditional eye detection method. Compared with the traditional eye detection method, the automatic identification system of S. japonicum miracidia has the advantages of high sensitivity, good repeatability, short detection time, high accuracy, low missed detection rate, and low false detection rate. It can be used in the field and clinical detection in replacement of the traditional eye detection method.