El Hag Imad A, Al-Subaie Sadeem, Asiri Shuaa M, Alotaibi Fadel Z, Alabashi Somya M, Alsheikh Abdulmalik, Alghamdi Abrar G
Department of Pathology and Laboratory Medicine, Security Force Hospital, Riyadh, Kingdom of Saudi Arabia.
Department of Pathology and Laboratory Medicine, UT Southwestern Medical Center, Dallas, Texas, USA.
Diagn Cytopathol. 2025 Sep;53(9):437-446. doi: 10.1002/dc.25491. Epub 2025 Jun 4.
Nuclear grooves are an important diagnostic feature in thyroid fine needle aspiration (FNA). However, their exact role remains undefined.
This study includes both retrospective and prospective analyses of the significance of identifying and counting deep grooves under low-power magnification (20×) in Pap-stained cytology smears for the classification of thyroid FNA results and, consequently, patient management.
Two cut-off points have been identified to stratify thyroid smears into three categories: benign with no grooves identified, 1-9 grooves in indeterminate cases, and ≥ 10 grooves in papillary thyroid carcinoma (PTC). Deep groove identification and counting under 20× magnification are highly reproducible between observers (K = 0.61). Using groove-based criteria instead of the archival Bethesda System for Reporting Thyroid Cytology (BSRTC) leads to a significantly higher diagnosis of follicular adenomas as benign (p < 0.0001), with fewer noninvasive follicular thyroid neoplasms with papillary-like nuclear features (NIFTP) categorized as benign (p = 0.002). The follicular variant of papillary carcinomas (FV-PTC), previously considered indeterminate, showed a significant decline (p < 0.001), and false-negative diagnoses of PTC and FV-PTC were eliminated. A significant difference favoring the groove-based approach was noted regarding specificity and positive (PLR) and negative (NLR) likelihood ratios (p = 0.0014). Finally, a substantial reduction in the false-negative rate was observed prospectively (p = 0.0014). The number of unnecessary surgeries among benign cases has decreased.
Incorporating the presence and frequency of deep nuclear grooves seen at 20× magnification improves the outcome of thyroid FNA classification and overall patient management.
核沟是甲状腺细针穿刺活检(FNA)的一项重要诊断特征。然而,其确切作用仍不明确。
本研究包括回顾性和前瞻性分析,即在巴氏染色的细胞学涂片上,于低倍放大(20倍)下识别并计数深沟,以探讨其对甲状腺FNA结果分类及后续患者管理的意义。
已确定两个分界点,将甲状腺涂片分为三类:未发现沟的为良性,不确定病例有1 - 9条沟,甲状腺乳头状癌(PTC)有≥10条沟。观察者之间在20倍放大倍数下对深沟的识别和计数具有高度可重复性(K = 0.61)。使用基于沟的标准而非存档的甲状腺细胞病理学报告贝塞斯达系统(BSRTC),可使滤泡性腺瘤被显著诊断为良性的比例更高(p < 0.0001),而被归类为良性的具有乳头状核特征的非侵袭性滤泡性甲状腺肿瘤(NIFTP)更少(p = 0.002)。先前被认为不确定的乳头状癌滤泡变体(FV - PTC)显著减少(p < 0.001),且消除了PTC和FV - PTC的假阴性诊断。在特异性以及阳性(PLR)和阴性(NLR)似然比方面,基于沟的方法有显著优势(p = 0.0014)。最后,前瞻性观察到假阴性率大幅降低(p = 0.0014)。良性病例中不必要手术的数量减少。
纳入在20倍放大倍数下观察到的深核沟的存在情况和频率,可改善甲状腺FNA分类结果及整体患者管理。