Head and Neck Cystic Lesions: A Cytology Review of Common and Uncommon Entities.

BACKGROUND: Cystic lesions of the head and neck are a diagnostic challenge since they are seen in the clinical presentation of a wide variety of conditions. Herein, common and uncommon entities that present as cystic lesions in the head and neck are reviewed. SUMMARY: In this study, peer-reviewed articles were selected using the database PubMed, Google, Google Scholar, and Scopus. Emphasis was placed on peer-reviewed articles that discuss the cytomorphology and differential diagnosis of entities that present as cystic lesions of the head and neck. In the anterior neck, both benign and malignant neoplasms can present, including papillary thyroid carcinoma (PTC), thyroid adenomatoid nodule, parathyroid cysts, and thyroglossal cysts. In the lateral neck, branchial cleft cyst, PTC, ectopic thyroid cyst, and squamous cell carcinomas (human papilloma virus and non- human papilloma virus-related) are common. Age over 40 years raises the possibility of malignancy. In the deep neck, mostly benign cystic entities occur such as a pleomorphic adenoma, paraganglioma, schwannoma, branchial cyst, epidermal inclusion cyst, and lymphoepithelial cyst. Lesions with squamous cell features can pose diagnostic dilemmas. CONCLUSION: Cytologic examination of head and neck cysts can provide valuable information regarding the nature of the cystic lesions. Information about anatomic site and clinical history can assist with the differential diagnoses. Ancillary studies can improve the diagnosis in some cases. Each case should be evaluated very carefully since there are a wide variety of congenital conditions, infectious/inflammatory conditions, benign neoplasms, and primary and secondary malignancies presenting as a cystic mass in the head and neck.

Intraductal papillary mucinous neoplasm of the pancreas: Cytomorphology, imaging, molecular profile, and prognosis.

BACKGROUND: Intraductal papillary mucinous neoplasm (IPMN) constitutes up to 20% of all pancreatic resections, and has been increasing in recent years. Histomorphological findings of IPMN are well established; however, there are not many published papers regarding the cytological findings of IPMN on fine needle aspiration (FNA) specimens. We review the cytomorphological features, molecular profile, imaging findings, and prognosis of IPMN. METHODS: The English literature was thoroughly searched with key phrases containing IPMN. OBSERVATIONS: IPMN is a rare entity, affecting men and women equally and is usually diagnosed at the age of 60-70 years. The characteristic imaging features include a cystic lesion with associated dilatation of the main or branch pancreatic duct, and atrophy of surrounding pancreatic parenchyma. Cytomorphological features of IPMN include papillary fragments of mucinous epithelium in a background of abundant thick extracellular mucin, a hallmark feature. IPMNs should be evaluated for high-grade dysplasia, which manifests with nuclear atypia, nuclear moulding, prominent nucleoli, nuclear irregularity, and cellular crowding. Molecular profiling of IPMN along with carcinoembryonic antigen and amylase levels is useful in predicting malignancy or high-grade dysplasia arising in IPMN. Overall, the prognosis of IPMN is excellent except in those cases with high-grade dysplasia and malignant transformation. Postoperative surveillance is required for resected IPMNs. CONCLUSION: IPMN requires a multidisciplinary approach for management. Cytomorphological findings of IPMN on FNA, in conjunction with tumour markers in pancreatic fluid cytology and imaging findings, are of paramount importance in clinical decision-making for IPMN.

Updates on Imaging of Liver Tumors.

PURPOSE OF REVIEW: We review advances in imaging of liver tumors, by particularly focusing on the utility of novel imaging in diagnosis and management of these lesions. RECENT FINDINGS: Contrast-enhanced CT and/or MRI are currently utilized for accurate diagnosis of liver tumors, but several ongoing studies are examining the use of other advanced techniques. Novel CT (i.e., dual-energy CT and perfusion CT), MRI (diffusion-weighted imaging, MR elastography, and T1 mapping), and image processing (texture analysis and artificial intelligence-based methods) techniques have emerged and can be used for precise characterization of liver tumors, quantification of treatment responses, and prediction of overall survival rate of patients. Recent advancements in imaging of liver tumors allowed for a precise assessment of tumor features. These evolving technologies can be utilized for applying individualized treatment based on the presence of specific imaging biomarkers.