Computerized nuclear morphometry in thyroid follicular neoplasms.
Differential diagnosis of follicular adenoma (FA) and follicular carcinoma (FC) of the thyroid can be challenging in the routine practice of surgical pathology because the diagnosis of FC is strictly defined and identification depends on the presence of invasion of the capsule or blood vessels. These features may be equivocally presented in the histological sections and interpreted subjectively by different pathologists, so an objective approach to solve this problem is essential. Computerized morphometry is a scientific tool to evaluate cellular changes and it can enhance the interpretation of morphological features by the transformation of pathological changes in cells to a qualitative form. The present study investigated the diagnostic role of objective computerized nuclear morphometry in follicular neoplasms. Thirty-six cases of thyroid FC and 36 cases of FA from patients who were matched by age and sex were studied. Four nuclear parameters were selected and analyzed: mean nuclear area, mean nuclear perimeter, largest to smallest diameter ratio of the nuclei, and coefficient of variation of the nuclear area. The results indicate that all the chosen nuclear variables were significantly correlated with the FA and FC studied. In conclusion, computerized nuclear morphometry can be considered a helpful ancillary tool for differential diagnosis of FA and FC.
Wang
Sheng-Lan
SL
Department of Pathology, Faculty of Medicine, Kaohsiung Medical University, Kaohsiung City, Taiwan.
Wu
Ming-Tsang
MT
Yang
Sheau-Fang
SF
Chan
Hon-Man
HM
Chai
Chee-Yin
CY
D018263:Adenocarcinoma, Follicular / Q000175:diagnosis / Q000648:ultrastructure*; D000236:Adenoma / Q000175:diagnosis / Q000648:ultrastructure*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002467:Cell Nucleus / Q000648:ultrastructure*; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D013964:Thyroid Neoplasms / Q000175:diagnosis / Q000648:ultrastructure*