Online citations, reference lists, and bibliographies.

Risk Stratification Of Salivary Gland Cytology Utilizing The Milan System Of Classification

Deepika Savant, Cao Jin, Karen Chau, Tamla Hagan, Maruf Hossan Chowdhury, Joshua Koppenhafer, Mercedes Kercy, Alice Laser, Cecilia Gimenez, Kasturi Das
Published 2019 · Medicine
Cite This
Download PDF
Analyze on Scholarcy
Share
BACKGROUND The Milan System for Reporting Salivary Gland Cytopathology (MSRSGC) is based on risk stratification. Our study is a retrospective review of salivary gland fine needle aspiration cytology (FNAC) with the goal of determining the risk of malignancy (ROM) in each of the categories proposed by the MSRSGC. METHODS FNAC of salivary gland lesions with corresponding surgical resection specimens were retrieved over a 5-year period. Metastatic tumors were excluded. BothFNAC and corresponding surgical resections were reviewed blindly and classified as per criteria published by the MSRSGC. The ROM for each of the diagnostic categories was determined and compared with the ROM published by the MSRSGC. RESULTS The total number of entities and ROM in 199 reviewed cases were as follows: Nondiagnostic 18 (9.2%) (ROM 0%), non-neoplastic 4(2%) (ROM 0%), atypia of undetermined significance (AUS) 12(6%) (ROM 33%), benign neoplasm 118(59.2%) (ROM 0.8%), salivary gland neoplasm of uncertain malignant potential (SUMP) 22(11%) (ROM 40.9%), suspicious for malignancy 3(1.5%) (ROM 100%), malignant 22(11%) (ROM 100%). CONCLUSION The ROM reported in our study was mostly concordant with ROM published by the MSRSGC. This classification is helpful for the management of categories; nondiagnostic, non-neoplastic, benign neoplasm, suspicious for malignancy and malignant. The management is not standardized for the category, salivary gland neoplasm of uncertain malignant potential, as clinical information plays an important role in planning surgical procedures at an individual basis. Further studies will need to be performed using this new classification to help define appropriate management and predict ROM more accurately.
This paper references
10.1002/cncy.21693
Usefulness of translocation-associated immunohistochemical stains in the fine-needle aspiration diagnosis of salivary gland neoplasms.
W. Foo (2016)
10.1002/cncy.21710
The impact of FNAC in the management of salivary gland lesions: Institutional experiences leading to a risk-based classification scheme.
Esther Diana Rossi (2016)
10.1053/j.semdp.2014.12.008
Update in salivary gland cytopathology: Recent molecular advances and diagnostic applications.
Marc P Pusztaszeri (2015)
10.1002/cncy.21900
Three‐year cytohistological correlation of salivary gland FNA cytology at a tertiary center with the application of the Milan system for risk stratification
Manish Rohilla (2017)
10.1002/dc.23820
LEF‐1: Diagnostic utility in distinguishing basaloid neoplasms of the salivary gland
Alessandra C Schmitt (2017)
10.1002/dc.23715
Ancillary testing strategies in salivary gland aspiration cytology: A practical pattern‐based approach
Christopher C. Griffith (2017)
10.1002/dc.23716
Reporting of fine needle aspiration (FNA) specimens of salivary gland lesions: A comprehensive review
S. Wei (2017)
10.1007/978-3-319-71285-7_8
Ancillary Studies for Salivary Gland Cytology
Marc P Pusztaszeri (2018)
10.1016/B978-1-4160-3405-6.10017-4
Non-Neoplastic Epithelial Lesions of the Vulva
Lynette J. Margesson (2008)
10.1007/978-3-319-71285-7
The Milan System for Reporting Salivary Gland Cytopathology
M. Pusztaszeri (2018)
10.1002/cncy.21906
A pattern‐based risk‐stratification scheme for salivary gland cytology: A multi‐institutional, interobserver variability study to determine applicability
Christopher C. Griffith (2017)
10.1002/cncy.21989
Northern Italy in the American South: Assessing interobserver reliability within the Milan System for Reporting Salivary Gland Cytopathology
Johnathan M. Hollyfield (2018)
10.1097/01.MP.0000096046.42833.C7
Expression of KIT (CD117) in Neoplasms of the Head and Neck: An Ancillary Marker for Adenoid Cystic Carcinoma
M. Mino (2003)
10.1002/dc.23551
MYB expression: Potential role in separating adenoid cystic carcinoma (ACC) from pleomorphic adenoma (PA).
Andres Moon (2016)
10.1007/s12105-017-0795-0
Update from the 4th Edition of the World Health Organization Classification of Head and Neck Tumours: Tumors of the Salivary Gland
Raja R. Seethala (2017)
The Bethesda system for reporting thyroid cytopathology : definitions, criteria, and explanatory notes
S. Ali (2010)
10.1016/j.otohns.2007.07.038
Parotidectomy: Ten-year review of 237 cases at a single institution
S. Chen (2007)
The art and science of cytopathology. Superficial aspiration cytology
R. Mac DeMay (2012)
10.1016/j.joms.2009.09.064
Fine-needle aspiration cytology of salivary gland lesions: a systematic review.
Giuseppe Colella (2010)
On clinical management.
H. Thomas (2005)
10.1002/dc.23255
Diagnostic problems of salivary gland tumors.
Ruchita Tyagi (2015)
10.1159/000441890
Expression of SOX10 in Salivary Gland Oncocytic Neoplasms: A Review and a Comparative Analysis with Other Immunohistochemical Markers
Alessandra C Schmitt (2015)
10.1136/jcp.2004.018028
Lymphadenoma of the salivary gland: a rare tumour
N. B. Musthyala (2004)
10.1309/AJCPMII6OSD2HSJA
Salivary gland tumor fine-needle aspiration cytology: a proposal for a risk stratification classification.
Christopher C. Griffith (2015)
10.1002/cncy.21649
Salivary gland FNA: New markers and new opportunities for improved diagnosis.
Marc P Pusztaszeri (2016)
10.1002/cncy.21898
The Milan System for Reporting Salivary Gland Cytopathology: Analysis and suggestions of initial survey
Esther Diana Rossi (2017)
10.1002/dc.20353
Fine-needle aspiration cytology of salivary glands: diagnostic pitfalls--revisited.
A. Rajwanshi (2006)
10.1309/AJCP2SD8RFQEUZJW
A systematic review and meta-analysis of the diagnostic accuracy of frozen section for parotid gland lesions.
Robert L Schmidt (2011)
10.1016/J.JASC.2017.06.085
Salivary Gland Cytology; Reclassification Based on “The Milan System for Reporting Salivary Gland Cytology:” A Tertiary Care Experience
Israh Akhtar (2017)



This paper is referenced by
Semantic Scholar Logo Some data provided by SemanticScholar