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Dataset Information

Indeterminate thyroid cytology: detecting malignancy using analysis of nuclear images.


ABSTRACT:

Background

Thyroid nodules diagnosed as 'atypia of undetermined significance/follicular lesion of undetermined significance' (AUS/FLUS) or 'follicular neoplasm/suspected follicular neoplasm' (FN/SFN), according to Bethesda's classification, represent a challenge in clinical practice. Computerized analysis of nuclear images (CANI) could be a useful tool for these cases. Our aim was to evaluate the ability of CANI to correctly classify AUS/FLUS and FN/SFN thyroid nodules for malignancy.

Methods

We studied 101 nodules cytologically classified as AUS/FLUS (n = 68) or FN/SFN (n = 33) from 97 thyroidectomy patients. Slides with cytological material were submitted for manual selection and analysis of the follicular cell nuclei for morphometric and texture parameters using ImageJ so

SUBMITTER: Hayashi CY 

PROVIDER: S-EPMC8284953 | biostudies-literature | 2021 Jun

REPOSITORIES: biostudies-literature