
According to the histological typing system of thyroid tumours adapted by the World Health Organisation follicular tumours are classified as follicular adenomas and follicular carcinomas. The most important diagnostic criterion for follicular carcinoma is the evidence of vascular and/or capsular infiltration. The aim of this work was to verify the Ag-NOR counting method for the diagnosis of thyroid tumours. From the material of the experiment on mice that drunk thyrostatic (1.2% NaCIO4) and were irradiated 10 histologically normal thyroids, 10 showing hypertrophy and hyperplasia, 8 follicular adenomas and 10 follicular carcinomas were used. Thyroid glands were impregnated with the silver to present Ag-NORs. The average numbers of Ag-NORs per nucleus (Ag-NOR/nucleus) for each group were determined. The results showed that the method of counting Ag-NOR can be used to differentiate among thyroid tumours.
Adenoma, Mice, Inbred BALB C, Silver Staining, Diagnosis, Differential, Mice, Random Allocation, Adenocarcinoma, Follicular, Nucleolus Organizer Region, Animals, Female, Thyroid Neoplasms
Adenoma, Mice, Inbred BALB C, Silver Staining, Diagnosis, Differential, Mice, Random Allocation, Adenocarcinoma, Follicular, Nucleolus Organizer Region, Animals, Female, Thyroid Neoplasms
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
