Muddegowda Prakash H, Lingegowda Jyothi B, Kurpad Ramkumar, Konapur Pg, Shivarudrappa As, Subramaniam Pm
Department of Pathology, Vinayaka Missions Medical College, Seeragapadi, Salem - 636 306, Tamil Nadu, India.
J Cytol. 2011 Jan;28(1):13-9. doi: 10.4103/0970-9371.76942.
Fine needle aspiration cytology (FNAC) has a high rating in the assessment of breast lesions. Various methods have been used to diagnose cytology of breast lesions.
Present study was undertaken to evaluate the feasibility of application of systematic pattern analysis based on morphology in diagnosing breast aspirates.
This is a retrospective study of FNAC of the breast done over a period of 4 years in a tertiary care centre. A total of 225 cases of breast lesions for which FNAC was done with histological follow-up were included in the study. Breast aspirates were provisionally diagnosed based on systematic pattern analysis. Aspirates were grouped into six categories based on predominant cellular pattern, and correlation between cytological and histological diagnosis was assessed.
Application of pattern analysis on FNAC of breast lesions in our study had a sensitivity of 94.5%, specificity of 98%, diagnostic accuracy of 97%, positive predictive value of 95.8%, and negative predictive value of 97.4%.
Systematic pattern analysis based on morphology of FNAC smears was found to be highly reliable and could be easily reproducible in the assessment of breast masses.
细针穿刺细胞学检查(FNAC)在乳腺病变评估中具有较高的评级。已采用多种方法诊断乳腺病变的细胞学。
本研究旨在评估基于形态学的系统模式分析在诊断乳腺穿刺物中的应用可行性。
这是一项在三级医疗中心对4年内进行的乳腺FNAC的回顾性研究。本研究纳入了共225例进行了FNAC并伴有组织学随访的乳腺病变病例。基于系统模式分析对乳腺穿刺物进行初步诊断。根据主要细胞模式将穿刺物分为六类,并评估细胞学与组织学诊断之间的相关性。
在我们的研究中,对乳腺病变的FNAC应用模式分析的敏感性为94.5%,特异性为98%,诊断准确性为97%,阳性预测值为95.8%,阴性预测值为97.4%。
基于FNAC涂片形态学的系统模式分析被发现高度可靠,并且在乳腺肿块评估中易于重复。