OBJECTIVE: The objective of this study was to evaluate the value of neural network-directed review of smears determined to contain atypical squamous (glandular) cells of undetermined significance to identify those cases most likely to be associated with cervical intraepithelial neoplasia. METHODS: One hundred sixty smears reported as atypical squamous (glandular) cells of undetermined significance on patients having colposcopy and directed biopsy within 1 year of the smear were identified. The smears were subjected to a neural network-directed review and classified according to findings on this review. The latter findings were related to those obtained on cervical biopsy. RESULTS: One hundred sixty smears originally reported as atypical squamous (glandular) cells of undetermined significance were subjected to neural network-directed review. The smears were upgraded in 20.6% of cases. Ninety-one patients were found to have normal biopsies, and 69 had biopsies reported as abnormal. Of the smears in patients with abnormal biopsies, 37.7% were upgraded, whereas only 7.7% of smears from those with normal biopsies were upgraded (P < .001). Nine patients were found to have cervical intraepithelial neoplasia-3 on biopsy. Six of the nine smears (66.7%) taken on these patients were upgraded. CONCLUSION: Neural network-directed analysis of smears conventionally diagnosed as atypical squamous (glandular) cells of undetermined significance will reveal findings suggesting a squamous intraepithelial lesion in a significant number of cases. This approach requires further study because it is a relatively cost-effective means of triaging patients with a cytologic diagnosis of atypical squamous (glandular) cells of undetermined significance.
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Raymond H. Kaufman (1998) studied this question.