Aim: The aim of the following study is to characterize the cytological features of pilomatricomas (PMXs) on fine-needle aspiration (FNA) and correlate with the histopathological features.

Materials And Methods: FNA, histopathological and clinical diagnosis of 12 cases of PMXs were analyzed. Clinical, aspiration findings and histopathological features were correlated with histopathological diagnosis which was taken as the gold standard. A written consent was taken from patients or parents as appropriate. Morphological features of both aspiration as well as histopathological features were graded. The study was duly approved by the Hospital Scientific Review Committee.

Results: Out of the 7600 cases studied retrospectively over a period of 4 years, only 12 cases were diagnosed as PMXs. These tumors were mainly located in the head and neck region and mostly affected young females (median age 9.5 years). The mean size of these lesions was 0.9 cm. Out of the 12 histopathologically proven cases of PMX, the correct clinical diagnosis was given in only one case while cytopathological diagnosis was achieved in four cases.

Conclusion: PMX is a rare tumor, which is mostly found in the pediatric age group. The clinical features should be keenly observed. Keeping in mind the diagnostic pitfalls a cytopathologist may encounter, histopathology should be regarded as the gold standard for diagnosis.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3999648PMC
http://dx.doi.org/10.4103/0974-7753.130394DOI Listing

Publication Analysis

Top Keywords

clinical diagnosis
8
histopathological features
8
gold standard
8
features
5
histopathological
5
diagnosis
5
cyto-histopathological clinical
4
clinical correlation
4
correlation pilomatricomas
4
pilomatricomas year
4

Similar Publications

Comprehensive histopathological analysis of gastric cancer in European and Latin America populations reveals differences in PDL1, HER2, p53 and MUC6 expression.

Gastric Cancer

January 2025

Department of Medical Oncology, Hospital Clinico Universitario, INCLIVA, Biomedical Research Institute, University of Valencia, Avenida Menendez Pelayo nro 4 accesorio, Valencia, Spain.

Introduction: Gastric cancer (GC) burden is currently evolving with regional differences associated with complex behavioural, environmental, and genetic risk factors. The LEGACy study is a Horizon 2020-funded multi-institutional research project conducted prospectively to provide comprehensive data on the tumour biological characteristics of gastroesophageal cancer from European and LATAM countries.

Material And Methods: Treatment-naïve advanced gastroesophageal adenocarcinoma patients were prospectively recruited in seven European and LATAM countries.

View Article and Find Full Text PDF

Background/purpose: Although metabolic dysfunction-associated steatotic liver disease (MASLD) has been proposed to replace the diagnosis of non-alcoholic fatty liver disease (NAFLD) with new diagnostic criteria since 2023, the genetic predisposition of MASLD remains to be explored.

Methods: Participants with data of genome-wide association studies (GWAS) in the Taiwan Biobank database were collected. Patients with missing data, positive for HBsAg, anti-HCV, and alcohol drinking history were excluded.

View Article and Find Full Text PDF

Purpose: There is an increasing incidence of young breast cancer (YBC) patients with uncertainty surrounding the factors and patterns that are contributing.

Methods: We obtained characteristics and survival data from 206,156 YBC patients (≤ 40 years of age) diagnosed between 2005 and 2019 from the National Cancer Database (NCDB). Patients were subdivided into two comparison groups based on year of diagnosis (2005-2009, Old vs.

View Article and Find Full Text PDF

The Stockholm Early Detection of Cancer Study (STEADY-CAN) cohort was established to investigate strategies for early cancer detection in a population-based context within Stockholm County, the capital region of Sweden. Utilising real-world data to explore cancer-related healthcare patterns and outcomes, the cohort links extensive clinical and laboratory data from both inpatient and outpatient care in the region. The dataset includes demographic information, detailed diagnostic codes, laboratory results, prescribed medications, and healthcare utilisation data.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!