ABSTRACT
Objective: To assess the feasibility of nuclear score combined with cyclin D1 immunocytochemistry in classifying indeterminate thyroid nodules with fine-needle aspiration (FNA) cytological diagnosis of Bethesda category Ⅲ-Ⅴ. Methods: A consecutive cohort of 118 thyroid FNA specimens with indeterminate diagnosis (TBSRTC category Ⅲ-Ⅴ) and available histopathologic follow-up data were collected between December 2018 and April 2022 at the Department of Pathology, Beijing Hospital, China. These cases were subjected to cytological evaluation and cyclin D1 immunocytochemistry. The optimal cut-off points of a simplified nuclear score and the percentage of cyclin D1-positive cells for the diagnosis of malignancy or low-risk neoplasm were determined using the receiver operating characteristic (ROC) curves and area under the ROC curve (AUC). The specificity, sensitivity, positive predictive value (PPV) and negative predictive value (NPV) of nuclear score and cyclin D1 immunostaining were evaluated from the crosstabs based on cut-off points. The diagnostic accuracy of simplified nuclear score combined with cyclin D1 immunostaining was estimated using ROC curve analysis. Results: Nuclear grooves, intra-nuclear inclusions and chromatin clearing were more commonly found in malignancy/low-risk neoplasms than benign lesions (P=0.001, P=0.012 and P=0.001 respectively). A cut-off point of≥2 for the simplified nuclear score was sensitive for defining malignancy/low-risk neoplasm, and its PPV, NPV, sensitivity and specificity were 93.6%, 87.5%, 99.0% and 50.0% respectively. A positive cut-off point of 10% positive thyroid cells in cyclin D1 immunostaining demonstrated sensitivity of 88.5%, specificity of 100%, PPV of 100% and NPV of 53.8% for correctly detecting thyroid malignancy or low-risk neoplasm. The sensitivity and PPV of simplified nuclear score combined with cyclin D1 immunostaining were 93.3% and 100%, respectively. Both specificity and NPV were maintained at high levels (100% and 66.7%, respectively). The diagnostic accuracy of simplified nuclear score combined with cyclin D1 immunostaining in detecting thyroid malignancy/low-risk neoplasm was increased to 94.1% compared to using either of them alone. Conclusions: Combing simplified nuclear score and cyclin D1 immunostaining on FNA cytology specimens can increase the diagnostic accuracy in classifying thyroid nodules of indeterminate cytological categories. Thus, this supplementary approach provides a simple, accurate, and convenient diagnostic method for cytopathologists so that may reduce unnecessary thyroidectomies.