scholarly journals Fine needle aspiration cytology (FNAC) in pre-operative diagnosis of breast lesions in Kadapa region of Andhra Pradesh, India

2017 ◽  
Vol 4 (12) ◽  
pp. 4062
Author(s):  
Chakarala Obula Reddy ◽  
Garisa Chandra Mohana Reddy

Background: Various diagnostic methods have been developed to evaluate the palpable and non-palpable breast lesions, but Fine needle aspiration cytology of the palpable breast masses have become increasingly popular as a diagnostic technique to assess the breast lesions. To study the role of FNAC in diagnosis of breast lumps.Methods: 60 female patients (11-74 years age group) with palpable breast lump were utilized to study the role of Fine needle aspiration cytology for clinically palpable breast lump was carried out in Fathima Institute of Medical Sciences, Kadapa, Andhra Pradesh.Results: Fine needle aspiration cytology revealed benign in 22 patients, suspicious in 3 and 35 malignant lesions were 93.10% with false negative rate of 6.9% and false positive rate of 0%. The overall sensitivity of fine needle aspiration cytology in diagnosing the palpable breast lump in our study was 93.10%, specificity was 100%, positive predictive of 100% and negative predictive value of 90.47%.Conclusions: FNAC is easy to perform and painless procedure and standard tool for diagnosis of breast lumps with high percentage of true positives without virtual complications.

KYAMC Journal ◽  
2017 ◽  
Vol 7 (2) ◽  
pp. 780-786
Author(s):  
Shaheen Akter ◽  
Md Jahidul Islam ◽  
Md Shariful Haque

Background: With the advent of fine needle aspiration cytology (FNAC), the approach to diagnosis and management of breast lumps has been revolutionized and it has high sensitivity and specificity.Aim: In this study we analyze the spectrum of FNAC diagnoses in breast lumps and compare the diagnostic accuracy of fine FNAC in differentiating the benign and malignant lesions of breast lumps with histopathological correlation.Materials & Methods: Two years prospective study was conducted in our institution and in that 490 aspirations, including 6 bilateral were performed. Suppurative and inflammatory lesions were excluded from the total aspirates. The cytological diagnosis was classified into 3 groups benign, suspicious and malignant. After this reporting all the available 94 cases were later subjected to mastectomy or open/excision biopsy and followed-up by histopathological confirmation. Later diagnostic accuracy of cytology reporting was compared with that of histopathology.Results: A total of 490 FNAC cases were reported including 373 as benign, 4 as suspicious for carcinoma and 113 as carcinoma. Majorities were premenopausal females and commonest age group was 31-40 years. Among them only 94 cases were followed-up by histopathologic confirmation. In histopathological correlation study, we had accuracy rate of 100% for benign lesion and 92.10% for malignant lesion with false negative rate of 7.90% and false positive rate of zero with fine needle aspiration cytology in the diagnosis of palpable breast lump. The overall sensitivity of fine needle aspiration in diagnosing the palpable breast lump is 92.10%, specificity is 100%, positive predictive value is 100% and negative predictive value is 94.91%.Conclusion: FNAC in experienced hands is a very useful tool with very high specificity and rare false positive result. Sensitivity can be further improved with clinical and imaging correlation.KYAMC Journal Vol. 7, No.-2, Jan 2017, Page 780-786


Breast Cancer ◽  
2007 ◽  
Vol 14 (4) ◽  
pp. 388-392 ◽  
Author(s):  
Takashi Ishikawa ◽  
Yohei Hamaguchi ◽  
Mikiko Tanabe ◽  
Nobuyoshi Momiyama ◽  
Takashi Chishima ◽  
...  

2020 ◽  
Vol 9 (18) ◽  
pp. 1515-1518
Author(s):  
Mohanvir Kaur ◽  
Deepika Wadhera ◽  
Ramesh Kumar Kundal ◽  
Chettan Dass ◽  
Ninder Kumar Mall ◽  
...  

2020 ◽  
Vol 48 (12) ◽  
pp. 1300-1306
Author(s):  
Fred John Nnaemeka Obiajulu ◽  
Adetola Olubunmi Daramola ◽  
Charles Chidozie Anunobi ◽  
Nzechukwu Zimudo Ikeri ◽  
Fatimah Biade Abdulkareem ◽  
...  

2011 ◽  
Vol 55 (2) ◽  
pp. 149-157 ◽  
Author(s):  
Hayam Abdel Samie Aiad ◽  
Mona Abd El-Halim Kandil ◽  
Moshira Mohammed Abd El-Wahed ◽  
Asmaa Gaber Abdou ◽  
Aiat Shaban Hemida

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