Ultrasound-guided core biopsy in the diagnosis of parotid neoplasia: an overview and update with a review of the literature

2021 ◽  
Author(s):  
Katharine Julia Hurry ◽  
Dilhara Karunaratne ◽  
Suzanne Westley ◽  
Alessandra Booth ◽  
Keith C R B Ramesar ◽  
...  
Keyword(s):  
Core Biopsy ◽  
Needle Aspiration ◽  
Published Data ◽  
Ultrasound Guided ◽  
Nerve Dysfunction ◽  
Needle Aspiration Cytology ◽  
Sensitivity Specificity ◽  
Management Choice ◽  
Higher Sensitivity

Objective: Accurate diagnosis of parotid neoplasia is a key to determine the most appropriate patient management choice, including the need for surgery. This review provides an update of the literature on current practice and outcomes of parotid tissue sampling techniques, with an emphasis on ultrasound-guided core biopsy (USCB) and comparison with fine needle aspiration cytology (FNAC). Methods: A literature review of EMBASE, Medline, PubMed and Google Scholar was conducted. Results: USCB has higher sensitivity, specificity and lower non-diagnostic rates than optimized FNAC. It also has a significantly higher sensitivity for the detection of malignancy. Significant complications post-USCB are uncommon, with only one reported case of tumour seeding and no cases of permanent facial nerve dysfunction. The technique is less operator-dependent than FNAC, with less reported variation in results between institutions. Conclusions: USCB can be considered as the optimum tool of choice for the diagnosis of parotid neoplasia. This would particularly be the case in centres utilizing FNAC with high non-diagnostic rates or reduced diagnostic accuracy when compared to USCB published data, or in centres establishing a new service. Advances in knowledge: An update of the role and outcomes of USCB in the diagnosis of parotid gland pathologies. Research shows that USCB preforms better than FNAC, in terms of sensitivity and specificity, particularly in the case of malignant neoplasia. Complications following USCB were found to be higher than that of FNAC; however, no long-term major complications following either method have been reported in the literature.

scholarly journals Correlation of FNAC and histopathology in diagnosis of salivary gland lesions

2014 ◽  
Vol 4 (8) ◽  
pp. 654-657 ◽  
Author(s):  
S Koirala ◽  
G Sayami ◽  
AD Pant
Keyword(s):  
Salivary Gland ◽  
Preoperative Diagnosis ◽  
Needle Aspiration ◽  
University Teaching ◽  
Malignant Neoplasms ◽  
Histopathological Diagnosis ◽  
Institute Of Medicine ◽  
Needle Aspiration Cytology ◽  
Sensitivity Specificity ◽  
Diagnostic Pitfalls

Background: Value of fine needle aspiration cytology in preoperative diagnosis of salivary gland lumps has been established in various studies. This study aims to calculate sensitivity, specificity accuracy of FNAC, correlate FNAC findings with histopathology and find out reasons for common diagnostic pitfalls in FNAC.Materials and methods: This study was performed in 67 patients that presented with salivary gland lumps at Department of pathology, Tribhuvan University Teaching Hospital, Institute of medicine, Kathmandu, Nepal from January 2009 to June 2010. FNAC was performed and was correlated with histopathological diagnosis to judge the sensitivity, specificity and accuracy of FNAC.Results: Out of 36 cases there was cyto-histological correlation in 28 cases. Pleomorphic adenoma was the most frequent lesion in this study. Parotid gland was the most common site affected by salivary gland lesions. The sensitivity, specificity and accuracy for non-neoplastic lesions was 100%, 89.28%, 91.67%, for benign neoplasms was 100%, 86.95%, 91.67% and for malignant neoplasms was 57.14%, 100%, 83.33% respectively.Conclusion: FNAC is a useful tool in preoperative diagnosis of salivary gland lesions and can be crucial for the management of the patient. Aspiration and reporting of salivary gland lesions demands a competent pathologist who considers all the possible diagnostic pitfalls in mind.DOI: http://dx.doi.org/10.3126/jpn.v4i8.11593 Journal of Pathology of Nepal; Vol.4,No. 8 (2014) 654-657

scholarly journals Predictive Evaluation on Cytological Sample of Metastatic Melanoma: The Role of BRAF Immunocytochemistry in the Molecular Era

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1110
Author(s):  
Andrea Ronchi ◽  
Marco Montella ◽  
Federica Zito Marino ◽  
Michele Caraglia ◽  
Anna Grimaldi ◽  
...  
Keyword(s):  
Metastatic Melanoma ◽  
Molecular Analysis ◽  
Predictive Value ◽  
Diagnostic Performance ◽  
Cost Effective ◽  
Needle Aspiration ◽  
Braf V600e ◽  
Mutational Status ◽  
Needle Aspiration Cytology ◽  
Sensitivity Specificity

Background: Cutaneous malignant melanoma is an aggressive neoplasm. In advanced cases, the therapeutic choice depends on the mutational status of BRAF. Fine needle aspiration cytology (FNA) is often applied to the management of patients affected by melanoma, mainly for the diagnosis of metastases. The evaluation of BRAF mutational status by sequencing technique on cytological samples may be inconvenient, as it is a time and biomaterial-consuming technique. Recently, BRAF immunocytochemistry (ICC) was applied for the evaluation of BRAF V600E mutational status. Although it may be useful mainly in cytological samples, data about BRAF ICC on cytological samples are missing. Methods: We performed BRAF ICC on a series of 50 FNA samples of metastatic melanoma. BRAF molecular analysis was performed on the same cytological samples or on the corresponding histological samples. Molecular analysis was considered the gold standard. Results: BRAF ICC results were adequate in 49 out of 50 (98%) cases, positive in 15 out of 50 (30%) cases and negative in 34 out of 50 (68%) of cases. Overall, BRAF ICC sensitivity, specificity, positive predictive value and negative predictive value results were 88.2%, 100%, 100% and 94.1%, respectively. The diagnostic performance of BRAF ICC results was perfect when molecular evaluation was performed on the same cytological samples. Hyperpigmentation represents the main limitation of the technique. Conclusions: BRAF ICC is a rapid, cost-effective method for detecting BRAF V600E mutation in melanoma metastases, applicable with high diagnostic performance to cytological samples. It could represent the first step to evaluate BRAF mutational status in cytological samples, mainly in poorly cellular cases.

scholarly journals Diagnostic Algorithm for Metastatic Lymph Nodes of Differentiated Thyroid Carcinoma

Cancers ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1338
Author(s):  
Sae Rom Chung ◽  
Jung Hwan Baek ◽  
Young Jun Choi ◽  
Tae-Yon Sung ◽  
Dong Eun Song ◽  
...  
Keyword(s):  
Lymph Nodes ◽  
Diagnostic Algorithm ◽  
Needle Aspiration ◽  
Differentiated Thyroid Carcinoma ◽  
Ultrasound Guided ◽  
Aspiration Cytology ◽  
Fine Needle ◽  
Malignancy Rate ◽  
Needle Aspiration Cytology ◽  
Ultrasound Features

We aimed to evaluate appropriate strategies for interpreting fine-needle aspiration cytology (FNAC) and thyroglobulin concentrations obtained through aspiration (FNA-Tg) results based on the sonographic features of lymph nodes (LNs). Consecutive patients who underwent ultrasound-guided FNAC and FNA-Tg for metastatic LNs from differentiated thyroid carcinomas (DTCs) from January 2014 to December 2018 were reviewed retrospectively. LNs were categorized sonographically as suspicious, indeterminate, or benign. The optimal FNA-Tg cutoff for metastatic LNs was evaluated preoperatively, after lobectomy, and after total thyroidectomy. The diagnostic performances of FNA-Tg, FNAC, and their combination were analyzed based on the sonographic features of LNs. The malignancy rates of LNs were analyzed based on the sonographic features, FNAC, and FNA-Tg results. Of the 1543 LNs analyzed, 528 were benign, whereas 1015 were malignant. FNA-Tg increased the sensitivity and accuracy of FNAC for LNs. The malignancy rate of LNs found to be malignant by FNAC or elevated FNA-Tg ranged from 82% to 100%, regardless of the sonographic features. The malignancy rate of LNs with indeterminate or benign FNAC findings and low FNA-Tg were stratified according to their sonographic features. We propose a diagnostic algorithm, based on combined FNAC, FNA-Tg, and ultrasound features of LNs, for diagnosing metastatic LNs of DTCs.

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