| Literature DB >> 4003966 |
G L Wied, M Bibbo, H E Dytch, P H Bartels.
Abstract
In an attempt to derive a computer-assisted grading for cervical intraepithelial neoplastic (CIN) lesions, apparent discrepancies with the visual diagnostic evaluation could be explained from the data structure of the objective assessment. The 40 cases of dysplasia in this study appeared to fall into two subgroups having different curves of progression. A smaller subgroup, visually graded as milder, less-severe CIN, exhibited dysplastic cells with unexpectedly high abnormality indices. A larger subgroup showed dysplastic cells with abnormality indices in agreement with the tissue assessment.Entities:
Mesh:
Year: 1985 PMID: 4003966
Source DB: PubMed Journal: Anal Quant Cytol Histol ISSN: 0884-6812 Impact factor: 0.302