Mayer, Marcel ORCID: 0000-0001-9963-1109, Alfarra, Mohammad Marwan, Möllenhoff, Kathrin ORCID: 0000-0001-7861-3892, Engels, Marianne ORCID: 0009-0003-3805-1380, Arolt, Christoph ORCID: 0000-0002-6366-2285, Quaas, Alexander ORCID: 0000-0002-3537-6011, Wolber, Philipp ORCID: 0000-0001-9019-2840, Jansen, Louis ORCID: 0000-0003-0332-1099, Nachtsheim, Lisa ORCID: 0000-0002-0261-4511, Grosheva, Maria ORCID: 0000-0002-5985-468X, Klussmann, Jens Peter ORCID: 0000-0002-8223-7954 and Shabli, Sami ORCID: 0000-0002-7202-0460 (2025). The Impact of Lesion-Specific and Sampling-Related Factors on Success of Salivary Gland Fine-Needle Aspiration Cytology. Head and Neck Pathology, 19 (1). pp. 1-9. Springer Nature. ISSN 1936-0568

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Abstract

[Artikel-Nr. 1] Purpose: Ultrasound-guided fine-needle aspiration cytology (FNAC) is a widely used diagnostic procedure which facilitates the differentiation of salivary gland lesions. Although the performance of salivary gland FNAC (SG-FNAC) has improved since the introduction of the Milan System for Reporting Salivary Gland Cytopathology (MSRSGC), the range of the reported performance is still wide. Therefore, the aim of this study was to determine lesion- and sampling-related factors that influence the success of SG-FNAC. Methods: All SG-FNAC cases performed in a tertiary referral hospital between September 1st, 2011, and August 31st, 2022, were retrospectively identified. Demographic, histopathological, lesion-specific, and sampling-related data were retrieved from the clinical charts. Cytopathological reports were categorized according to the MSRSGC. The risk of malignancy (ROM), the performance measures, and factors influencing the success of SG-FNAC were calculated. Results: Overall, 1289 cases with histopathological follow-up diagnosis (out of 1952 SG-FNACs) were included. The ROM was: non-diagnostic = 23.9%, non-neoplastic = 4.4%, atypia of undetermined significance (AUS) = 34.5%, neoplasm-benign = 1.0%, neoplasm-salivary gland neoplasm of uncertain malignant potential (SUMP) = 15.3%, suspicious for malignancy = 74.1%, malignant = 96.2%. The sensitivity, specificity, accuracy, positive, and negative predictive value for differentiating benign from malignant lesions (excluding lesions categorized as AUS and SUMP) were 87.5%, 97.7%, 96.3%, 85.0%, and 98.1%, respectively. A larger lesion size (OR (95% CI) = 1.21 (1.06–1.39), p = 0.004), a higher number of obtained slides (OR (95% CI) = 1.31 (1.17–1.46), p < 0.001), and the physician performing the FNAC (p = 0.047) were independent predictors for a higher success, while localization of the lesion within the submandibular compared to the parotid gland (OR (95% CI) = 0.38 (0.19–0.77), p = 0.008) was an independent predictor for lower success of SG-FNAC. Conclusion: This is the largest single-center study evaluating SG-FNAC performance to date. It identified independent lesion-and sampling-related factors influencing the success of SG-FNAC. Knowledge of those can improve performance of the procedure

Item Type: Article
Creators:
Creators
Email
ORCID
ORCID Put Code
Mayer, Marcel
UNSPECIFIED
UNSPECIFIED
Alfarra, Mohammad Marwan
UNSPECIFIED
UNSPECIFIED
UNSPECIFIED
Möllenhoff, Kathrin
UNSPECIFIED
UNSPECIFIED
Engels, Marianne
UNSPECIFIED
UNSPECIFIED
Arolt, Christoph
UNSPECIFIED
UNSPECIFIED
Quaas, Alexander
UNSPECIFIED
UNSPECIFIED
Wolber, Philipp
UNSPECIFIED
UNSPECIFIED
Jansen, Louis
UNSPECIFIED
UNSPECIFIED
Nachtsheim, Lisa
UNSPECIFIED
UNSPECIFIED
Grosheva, Maria
UNSPECIFIED
UNSPECIFIED
Klussmann, Jens Peter
UNSPECIFIED
UNSPECIFIED
Shabli, Sami
UNSPECIFIED
UNSPECIFIED
URN: urn:nbn:de:hbz:38-797152
Identification Number: 10.1007/s12105-024-01741-3
Journal or Publication Title: Head and Neck Pathology
Volume: 19
Number: 1
Page Range: pp. 1-9
Date: 7 January 2025
Publisher: Springer Nature
ISSN: 1936-0568
Language: English
Faculty: Faculty of Medicine
Divisions: Faculty of Medicine > Hals-Nasen-Ohrenheilkunde > Klinik und Poliklinik für Hals-, Nasen- und Ohrenheilkunde
Faculty of Medicine > Medizinische Statistik und Bioinformatik > Institut für Medizinische Statistik und Bioinformatik – IMSB
Faculty of Medicine > Pathologie und Neuropathologie > Institut für Pathologie
Subjects: Medical sciences Medicine
['eprint_fieldname_oa_funders' not defined]: Publikationsfonds UzK
Refereed: Yes
URI: http://kups.ub.uni-koeln.de/id/eprint/79715

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