Upadhyaya Paricha, Dhakal Sushil, Adhikari Purbesh, Adhikari Bindu, Khadka Dibika, Niraula Surya R
Department of Pathology, BP Koirala Institute of Health Sciences, Karnali Province, Nepal.
Department of Pathology, Province Hospital, Karnali Province, Nepal.
J Cytol. 2019 Jan-Mar;36(1):48-52. doi: 10.4103/JOC.JOC_64_18.
Fine needle aspiration (FNA) plays a crucial role in the evaluation of patients with thyroid lesions. The Bethesda system for reporting thyroid cytopathology (TBSRTC) was designed with a mission to standardize the process of diagnosis and management of thyroid lesions by FNA cytology (FNAC).
We aim to see the benefits of adopting TBSRTC, seek the cytological pitfalls in the diagnosis of thyroid FNAC, and identify the spectrum of thyroid lesions in our setup.
This is a hospital-based cross-sectional study conducted from June 2009 to June 2014 of all thyroid FNACs with available histopathology reports. Cases were designated a specific diagnostic category according to TBSRTC.
A total of 109 cases were included in the study. Sixty-eight cases had been reported without using TBSRTC and were reviewed and reclassified according to TBSRTC seeking the common reasons for interpretative errors.
Data were analyzed using SPSS ver. 11.5.
In both pre- and post-TBSRTC era, benign neoplasms constituted the major bulk. After the use of TBSRTC, there was increased ability to look for follicular neoplasms, improvement in making definitive diagnosis of the cases, decline in the suspicious category, and an improvement in diagnostic accuracy, and we were in line with the implied risk outlined by TBSRTC in most of the cases except the nondiagnostic or unsatisfactory category.
Application of TBSRTC results in uniformity in reporting among pathologists and better interdisciplinary communication and patient management.
细针穿刺抽吸活检(FNA)在甲状腺病变患者的评估中起着至关重要的作用。甲状腺细胞病理学报告的贝塞斯达系统(TBSRTC)旨在通过FNA细胞学(FNAC)规范甲状腺病变的诊断和管理过程。
我们旨在观察采用TBSRTC的益处,寻找甲状腺FNAC诊断中的细胞学陷阱,并确定我们机构中甲状腺病变的范围。
这是一项基于医院的横断面研究,于2009年6月至2014年6月对所有有可用组织病理学报告的甲状腺FNAC病例进行。根据TBSRTC将病例指定为特定的诊断类别。
本研究共纳入109例病例。68例病例在报告时未使用TBSRTC,根据TBSRTC进行回顾和重新分类,以寻找解释性错误的常见原因。
使用SPSS 11.5版软件进行数据分析。
在TBSRTC应用前后,良性肿瘤均占主要部分。使用TBSRTC后,寻找滤泡性肿瘤的能力增强,病例确诊率提高,可疑类别减少,诊断准确性提高,除无法诊断或不满意类别外,大多数病例符合TBSRTC所暗示的风险。
应用TBSRTC可使病理学家之间的报告趋于一致,改善多学科沟通和患者管理。