[Contribution of nuclear texture analysis for the differential diagnosis of follicular lesions of the thyroid: comparison to immunohistochemical markers].
OBJECTIVE
To investigate the utility of nuclear chromatin texture assessment in the differential diagnosis of follicular patterned lesions, by means of examining 76 samples previously submitted to the immunohistochemical protein analysis of HBME-1, CK-19 and galectina-3.


RESULTS
HBME-1 confirmed to be the most sensitive marker of malignancy. A series of morphometric, densitometric and texture variables were useful in the discrimination of the different types of follicular lesions. Among these variables, r(2), a parameter related to the granularity of the nucleus presented the best accuracy, sensitivity, specificity and positive and negative predictive values, distinguishing benign from malignant lesions.


CONCLUSIONS
The morphometric analysis of nuclear chromatin images may add accuracy to the differential diagnosis of follicular patterned lesions.
Ferreira
Rita C
RC
Ward
Laura S
LS
Adam
Randall L
RL
Leite
Neucimar J
NJ
Metze
Konradin
K
Matos
Patrícia S de
PS
D000236:Adenoma / Q000473:pathology* / Q000648:ultrastructure; D014408:Biomarkers, Tumor / Q000032:analysis*; D018265:Carcinoma, Papillary, Follicular / Q000473:pathology* / Q000648:ultrastructure; D002467:Cell Nucleus / Q000473:pathology*; D002843:Chromatin / Q000473:pathology* / Q000648:ultrastructure; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D003937:Diagnosis, Differential; D037502:Galectin 3 / Q000032:analysis; D006801:Humans; D053539:Keratin-19 / Q000032:analysis; D011237:Predictive Value of Tests; D012984:Software; D013964:Thyroid Neoplasms / Q000473:pathology* / Q000648:ultrastructure; D000951:Antigens, Neoplasm
D014408:Biomarkers, Tumor; D002843:Chromatin; D037502:Galectin 3; D053539:Keratin-19; C432845:HBME-1 antigen; D000951:Antigens, Neoplasm