Literature DB >> 3784740

Correlation of fine needle aspiration biopsy and CT scanning of parotid masses.

H M Berg, J B Jacobs, D Kaufman, D L Reede.   

Abstract

Preoperative evaluation of parotid tumors still poses difficult problems for the head and neck surgeon. The complex anatomy of the parotid space leads to difficulty in localizing these tumors. In addition, physical examination will rarely determine whether a parotid lesion is benign or malignant. High resolution CT scanning with contrast and fine needle aspiration can provide enough preoperative information to enable the surgeon to counsel his patient concerning possible risks and the extent of surgery that may be indicated. We are able to determine tumor location, multiple or bilateral masses, associated adenopathy, and often specific tumor histology. Forty-two parotid aspirates and 26 CT scans were reviewed and correlated with their postoperative pathology specimen. Parotid aspiration cytology was found to be a highly accurate and safe procedure for preoperative determination of parotid pathology. However, the CT scan was specific only in defining the anatomic localization and extent of a parotid mass.

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Year:  1986        PMID: 3784740     DOI: 10.1288/00005537-198612000-00008

Source DB:  PubMed          Journal:  Laryngoscope        ISSN: 0023-852X            Impact factor:   3.325


  4 in total

1.  Different imaging techniques in the head and neck: Assets and drawbacks.

Authors:  Thomas J Vogl; Marc Harth; Petra Siebenhandl
Journal:  World J Radiol       Date:  2010-06-28

Review 2.  Sensitivity, Specificity, and Posttest Probability of Parotid Fine-Needle Aspiration: A Systematic Review and Meta-analysis.

Authors:  C Carrie Liu; Ashok R Jethwa; Samir S Khariwala; Jonas Johnson; Jennifer J Shin
Journal:  Otolaryngol Head Neck Surg       Date:  2015-10-01       Impact factor: 3.497

3.  Diagnostic Criteria on (18)F-FDG PET/CT for Differentiating Benign from Malignant Focal Hypermetabolic Lesions of Parotid Gland.

Authors:  Soo Bin Park; Joon Young Choi; Eun Jeong Lee; Jang Yoo; Miju Cheon; Suk Kyong Cho; Yearn Seong Choe; Kyung-Han Lee; Byung-Tae Kim
Journal:  Nucl Med Mol Imaging       Date:  2012-04-21

4.  Using deep learning to distinguish malignant from benign parotid tumors on plain computed tomography images.

Authors:  Ziyang Hu; Baixin Wang; Xiao Pan; Dantong Cao; Antian Gao; Xudong Yang; Ying Chen; Zitong Lin
Journal:  Front Oncol       Date:  2022-08-01       Impact factor: 5.738

  4 in total

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