1. Milan system in salivary gland lesions: Its diagnostic and clinical relevance
- Author
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Deepti Agarwal, Uma Garg, Parveen Rana, Smriti Singh, Swaran Kaur, and Abhishek Saini
- Subjects
Pathology ,medicine.medical_specialty ,Salivary gland ,business.industry ,milan system ,salivary gland ,fine-needle aspiration cytology ,medicine.anatomical_structure ,medicine ,Medicine ,Clinical significance ,General Agricultural and Biological Sciences ,business - Abstract
Background: The salivary gland lesions constitute around 3–6% of all head-and-neck lesions and have always posed a diagnostic riddle for the cytopathologists around the world. Since the majority of these lesions need surgical excision, it is, therefore, important to diagnose these lesions with utmost precision to prevent over or under stage procedures. The recent adaption of Milan system of reporting aims to establish a uniform, accurate, and consensual reporting system which bridges the communication between the pathologists and the clinicians. Aims and Objectives: The current study aims to assess the diagnostic application of Milan system and aims to reclassify the lesions according to it. Materials and Methods: The current study was conducted at our institute during 1 year period. All salivary gland swellings presenting to the fine-needle aspiration cytology (FNAC) section during this period were included in the study. Along with this, records and slides of cases of salivary gland lesions were retrospectively assessed. All relevant data and radiologic findings were retrieved from the case records. FNAC was done using 23 G needle. The slides were stained with both Leishman and Papanicolaou stain wherever possible. Quantitative data were expressed as mean and standard deviation and percentages. All the 83 lesions were reclassified as per the Milan system. Histopathology was available in 42 cases. Inclusion criteria: All the samples of the patient having salivary gland lesion(s) whose FNAC were performed in the department of pathology. Statistical Analysis: Data were be entered into Microsoft Excel spreadsheets. For quantitative data, mean and standard deviation were calculated. For qualitative data, percentage and proportion were calculated. Sensitivity, specificity, and spearman correlation between FNAC and histopathology were calculated. P
- Published
- 2021
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