Background: Breast cancer is the leading cause of cancer deaths among women worldwide. Fine needle aspiration cytology (FNAC) and breast ultrasound are pivotal in characterization of a breast lump as benign and malignant lesion. The main objectives were to categorise the Breast FNAC samples according to new system of reporting and to assess the Risk of malignancy (ROM), sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy for all categories.Methods: A Total of 900 FNAB cytology specimens from January 2017 to December 2018 were obtained. These were reclassified according to newly proposed IAC Yokohama system of reporting. The ROM, sensitivity, specificity, Positive Predictive Value (PPV), Negative Predictive Value (NPV) and diagnostic yield of Breast FNAC and also of ultrasound were calculated.
Introduction: Various methods can be used for the detection of tuberculosis of which microscopy,culture and identification of the organism's DNA are known. Newly introduced Nucleic acid amplification test (NAAT) if used in combination with other tests provide improved diagnostic yield.Aims and Objectives: Todiagnose tuberculosis bacilli in various cytological samples and sputum samples. To evaluate the diagnostic efficacy of combined approach of conventional smear study and and CBNAAT.
Material and Methods:A Total of 50 cytology samples received in Pathology Department were studied over a period of 6 months.These included sputum(20), lymph node( 22),body fluids(8).For these samples routine staining and ziehlneelsen are done and the remaining sample is sent for CBNAAT.Resultsare compared among AFB,CBNAAT for these samples. Sensitivity and specificity of microscopy and CBNAAT tests were calculated.Results: Out of 50 cases 31 cases were positive for smear study and 29 cases were positive for CBNAAT.
Conclusion:Cytological examination of TB in association with CBNAAT is more confirmatory,sensitive and specific tool for the early diagnosis of MTB in variety of clinical samples.
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