Dermatopathological C,correlation of clinically challenging cutaneous lesions: a single center experience of 2184 cases

Abstract

Abstract Introduction: Although a trained eye can easily identify typical skin lesions, histopathological exam-ABSTRACT ination and clinicopathological correlation are critical in challenging cases. Objectives: The primary objective is to organize the final diagnoses reached following clinicopathological consensus in clinically challenging cutaneous lesions, identifying the most common diagnostic scenarios encountered by dermatopathologists and discussing their diverse differentials submitted by clinicians. The secondary objective is to investigate how the case profile and clinician decision-making processes evolved during the COVID-19 pandemic. Methods: Skin and mucosa samples collected by the dermatology department between 2016 and 2020 were classified based on pathology reports. For frequent diagnoses, preliminary diagnoses stated by clinicians on pathology requisition forms were reviewed. The years preceding and following the first nationally reported COVID-19 case were compared to investigate the pandemic’s impact on the distribution of dermatology and dermatopathology cases. Results: One thousand nine hundred and eighty-nine reports were classified into 4 major categories: inflammatory (49.8%), neoplastic (30.1%), other diseases (7.1%), and non-diagnostic (12.8%). We further classified inflammatory diseases based on major tissue reaction patterns and neoplasms based on cell origin. We analyzed the leading diagnoses in each category, discussed their differential diagnoses, and provided clinicians with clues to reduce errors in practice. Following the pandemic, the overall number of pathology reports and patient admissions dropped dramatically, with significant changes in case profiles. Conclusions: We presented and discussed the frequently encountered confounding cases to sketch the diagnostic landscape. In the authors’ experience, clinicopathological correlation can increase the rate of reaching the diagnosis by up to 75.3%. © 2022 Ozcan et al.