scholarly journals Correlation of Fine Needle Aspiration Cytology and Histopathology of the Neck Swellings Presenting at National Academy of Medical Sciences, Kathmandu, Nepal

2017 ◽  
Vol 2 (2) ◽  
pp. 206-210
Author(s):  
Harihar Devkota ◽  
YC Sibakoti ◽  
S Menyangbo ◽  
S Basnet ◽  
MK Jha ◽  
...  

IntroductionNeck masses are frequently found in clinical practice. A spectrum of pathological lesions ranging from inflammation to benign and highly malignant manifestation is observed. Fine needle aspiration cytology (FNAC) of neck masses is a quick, easy, safe and cheap technique in the diagnosis which has been a well-accepted procedure in diagnosing various swellings. Histopathology is a gold standard technique in diagnosing any swelling which also provide detail architecture, however it also requires OT setings, more manpower, expensive, time consuming, more traumatic and can sometimes become difficult.ObjectiveThe objective of our study was to evaluate the frequencies of neck swellings and how efficacy FNAC is in diagnosing neck masses by correlating the gold standard histopathological examination.MethodologyA Hospital based descriptive cross sectional prospective study was conducted in 50 patients with neck swellings presenting in the surgery OPD and admitied patient for some other reasons. FNAC and histopathological examinations were done from those lesions and were compared. The sensitivity, specificity and accuracy rates were calculated. Data entry and analysis was performed using SPSS.ResultsA total of 50 patient were subjected to both FNAC and histopathology examination (HPE). Out of 50 cases, 25 were male and 25 were female. The age ranged from 16 to 82 years. Lymph nodes 22 (44%) was the most common case, followed by thyroid 17 (34%), salivary glands 10 (20%) and soft issue 1 (2%).Among all Tubercular lymphadenitis (18%) followed by papillary carcinoma of thyroid (14%),metastatic carcinoma of lymph node, NHL, and pleomorphic adenoma 10% each. The sensitivity of FNAC in diagnosing neck masses is 90.08%, specificity is of 98.53%, and diagnostic accuracy is of 87.64%.ConclusionFNAC is a simple, fast, inexpensive, and minimally invasive technique which can be used as the first line investigation in diagnosing neck swellings.Birat Journal of Health SciencesVol.2/No.1/Issue 2/ Jan - April 2017, page: 206-210

2014 ◽  
Vol 4 (8) ◽  
pp. 630-634
Author(s):  
MK Shrestha ◽  
D Ghartimagar ◽  
A Ghosh ◽  
E Shrestha ◽  
P Bolar

Background: Approximately 10% of breast masses are breast cancer. It is important for women with a breast lump to receive appropriate evaluation. Mammography has been the “gold standard” in breast cancer detection for >40 years. Ultrasonography is non-invasive easily available, cheaper and accurate tool while Fine needle aspiration cytology has a high diagnostic accuracy rate in hands of experienced cytopathologist. Materials and methods: This was a retrospective and prospective study of 173 women attending radiology department in Manipal Teaching Hospital, Pokhara for mammography during a period of 18 months from January 2011 to June 2012.The age ranged from 20yrs to 75yrs. BIRADS score was given for both mammography and sonomammography. All malignant and suspicious cases had undergone fine needle aspiration cytology. Cytology reports were correlated with imaging study. Results: The most common age group for the breast lump was 40-49 years showing 65(37.57%) cases. Most lumps were seen on the left side 54.3% (94/ 173) cases and were seen in upper outer quadrant of the breast (74 cases). 11 cases each were given the BIRADS score of 4 in both mammography and sonomammography. Sensitivity and specificity of mammography and sonomammography were compared to cytologyreports. The sensitivity for mammogram was 73.7% while specificity was 96.3%. The sensitivity and specificity for sonomammogram was 78.9% and 95% respectively. Conclusion: Quadruple assessment i.e. clinical assessment, mammography, sonomammography and cytological study are the new “gold standard” in the investigation of breast disease. DOI: http://dx.doi.org/10.3126/jpn.v4i8.11499 Journal of Pathology of Nepal; Vol.4,No. 8 (2014) 630-634


2018 ◽  
Vol 10 (3) ◽  
pp. 99-105
Author(s):  
Vaibhav Jaywant Lahane ◽  
Swati Mishra ◽  
Narkhede Parag Prakash ◽  
Sachin Garud ◽  
Pradipkumar Khokle

2019 ◽  
Vol 9 (1) ◽  
pp. 14-20
Author(s):  
V.I. Akinmoladun ◽  
C.A. Okolo ◽  
T.O. Aladelusi ◽  
O.O. Gbolahan

Objective: FNAC is a well-established initial investigative tool for head and neck masses due to its being cost effective, quick to perform, low associated morbidity, high patient acceptability and high diagnostic accuracy. This study aimed to audit the utilization and deployment of FNAC in the management of head and neck masses in our hospitalMethods: This is a retrospective study of all patients presenting for fine needle aspiration cytology of lesions in the head and neck region at our hospital for fifteen years (from 2008 to 2017). All data were extracted from the FNA clinic records. The data was analyzed using the SPSS version 21 and results presented as figures and percentages.Results: During the study period, 3194 patients were seen, 2789 had complete information for analysis. There were 875 males (31.4%) and 1914 females (68.6%). The ages ranged between 1 year and 103 years. Overall mean age was 39.7 + 17.9 years. The commonest site was the anterior neck, accounting for 1323 (47.4%) of the lesions. Cervical lymph nodal swellings accounted for 548 (19.6%)]. Benign lesions constituted 35%. A total of 160 (5.7%) specimens were reported as inconclusive. Malignant lesions had the highest prevalence in the 1-10year age group. There was no complication reported with any of the procedures.Conclusion: FNAC is an established tool for investigating head and neck lesions in our hospital. The practice however needs to be further developed in line with the recommendations of National Institute for Clinical Excellence for improved outcomes.Keywords: Fine needle aspiration cytology, head neck masses


2018 ◽  
Vol 47 (5) ◽  
pp. 394-399 ◽  
Author(s):  
Soumaya Rammeh ◽  
Emna Romdhane ◽  
Asma Sassi ◽  
Linda Belhajkacem ◽  
Ahlem Blel ◽  
...  

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