Literature DB >> 28002989

Fine-needle aspiration cytology (FNAC): is it useful in preoperative diagnosis of parotid gland lesions?

Inês Correia-Sá1,2,3, Mário Correia-Sá3, Pedro Costa-Ferreira1,2, Álvaro Silva1, Marisa Marques1,2.   

Abstract

BACKGROUND: Salivary gland tumors are an uncommon entity and its histopathology is highly varied due to heterogeneous cellular composition. The role of the preoperative fine-needle aspiration cytology (FNAC) remains controversial. The purpose of this study is to compare the cytologic findings of salivary gland lesions with the histologic diagnoses, in order to assess the usefulness and accuracy of fine-needle aspiration cytology in the diagnosis of parotid gland tumors.
METHODS: A retrospective study was performed, regarding patients (n = 65) submitted to surgery for the treatment of parotid gland disease, who had performed preoperative FNAC, in our department between 2002 and 2012. A histologic diagnosis was considered as the gold standard for the assessment of sensitivity and specificity of FNAC. A cytohistologic correlation was done and appropriate statistical tests were applied.
RESULTS: Concordance between FNAC and histological specimen analysis was 78%. FNAC specificity was 82% and sensitivity was 71%. Positive and negative predictive values were 65% and 86% and positive likelihood ratio and negative likelihood ratio were 3.92 and 0.35, respectively. The diagnostic accuracy for this test was 78%.
CONCLUSION: Preoperative FNAC of parotid lesions is reasonably accurate and useful in diagnosing benign from malignant lesions and in planning appropriate approach for treatment.

Entities:  

Keywords:  FNAC; Parotid; tumor

Mesh:

Year:  2016        PMID: 28002989     DOI: 10.1080/00015458.2016.1262491

Source DB:  PubMed          Journal:  Acta Chir Belg        ISSN: 0001-5458            Impact factor:   1.090


  3 in total

1.  The role of fine-needle aspiration biopsy (FNAB) in Warthin tumour diagnosis and management.

Authors:  Alzbeta Jechova; Martin Kuchar; Stepan Novak; Vladimir Koucky; Lucie Dostalova; Michal Zabrodsky; David Kalfert; Jan Plzak
Journal:  Eur Arch Otorhinolaryngol       Date:  2019-07-18       Impact factor: 2.503

2.  Quantitative Analysis and Pathological Basis of Signal Intensity on T2-Weighted MR Images in Benign and Malignant Parotid Tumors.

Authors:  Peiying Wei; Chang Shao; Min Tian; Mengwei Wu; Haibin Wang; Zhijiang Han; Hongjie Hu
Journal:  Cancer Manag Res       Date:  2021-07-07       Impact factor: 3.989

3.  Deep Learning for Differentiating Benign From Malignant Parotid Lesions on MR Images.

Authors:  Xianwu Xia; Bin Feng; Jiazhou Wang; Qianjin Hua; Yide Yang; Liang Sheng; Yonghua Mou; Weigang Hu
Journal:  Front Oncol       Date:  2021-06-23       Impact factor: 6.244

  3 in total

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