Findings other than age that help identify possible cases of non-invasive follicular thyroid neoplasm with nuclear characteristics of the papillary carcinoma type

Digital analyses of nuclear features can help discriminate among non‐invasive follicular thyroid neoplasm with papillary‐like nuclear features, papillary thyroid carcinoma follicular subtype, and follicular carcinoma in cytological specimens

“…The most significant coefficients of variation, type I and II errors, absence of confounders, simple random sampling, uniform allocation ratio in each group, and minimum significant differences were considered. Considering: (i) that the unit of analysis would be the individual and that the variables of interest in the study are obtained by aggregating images and colours, (ii) the outcomes would be mean nuclear area and mean shape factor that have the highest coefficients of variation, 7 (iii) simple random sampling, (vi) uniform allocation ratio in each of the groups, (vi) minimum significant differences of 5 μm in the mean nuclear area and 0.10 μm in the mean shape factor, it was estimated that at least 226 units of analysis are necessary for comparisons of the mean nuclear area for each entity with a 5% significance level.…”

“…In this scenario, the most conservative lobectomy can be effective. The ultrasound examination of lesions with low or moderate suspicion for malignancy 7 based on cytological characteristics (eg atypia of undetermined significance/follicular neoplasm of undetermined significance [AUS/FLUS in the Bethesda classification], follicular neoplasia/suspicious for follicular neoplasia [FN/SFN], and suspicious for malignancy [SM]) and molecular analysis (RAS mutation predominance) 8 is helpful in the investigation of such cases and can help rule out this tumour.…”