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Interobserver variability remains a major challenge for cytopathologists despite the development of standardized reporting and classification systems. Indeed, whereas moderate‐to‐good interobserver agreement is generally achievable when the differential diagnosis between benign and malignant entities is straightforward, high levels of variability make the diagnostic interpretation of atypical and suspicious samples not consistent. This review explores the landscape of interobserver agreement in cytopathology across different anatomical sites. [ABSTRACT FROM AUTHOR]

Objective: Fine needle cytology (FNC) is widely used as a first‐line procedure in the diagnostic algorithm of lymphadenopathies. In a metastatic setting, a first‐line diagnostic approach identifies non‐haematopoietic malignancy; however, cytopathologists could also provide a second diagnostic level, identifying the origin of the primary tumour. This paper outlines a comprehensive and practical approach to the cytological diagnosis of lymph node metastases. Methods: Cytological diagnoses of lymph node metastases performed over a 10‐year period were selected and divided into two groups. The first group, labelled "oncological," comprised patients with a previous history of malignancy; the second group, labelled "naïve," included patients with no relevant history. Pathology records were retrieved to record microscopic findings, namely, background appearance, group architecture, and specific cell features; data from cell block (CB) preparations were also collected. Results: Overall, 982 cases were selected: 497 cases (50.61%) in the naïve group, and 485 (49.39%) in the oncological group. Overall, a second diagnostic level was achieved in 834/982 cases (84.92%); cases diagnosed as carcinoma not otherwise specified were more frequent in the naïve group than in the oncological group (17.51% vs. 8.04%, P < 0.01). Notably, although CB material was available in only 44.87% of the naïve cases, we were able to achieve a second diagnostic level thanks to the integration of clinical and cytomorphological findings, plus lymph node topography, in 82.49% of the cases. Conclusion: Our results confirmed that in a metastatic setting, FNC can reliably lead to the identification of the origin of the primary tumour. [ABSTRACT FROM AUTHOR]

Background: In a previous worldwide survey, the authors showed a drastic reduction in the number of cytological specimens processed during the coronavirus disease 2019 "lockdown" period along with an increase in malignancy rates. To assess the continued impact of the pandemic on cytological practices around the world, they undertook a second follow‐up worldwide survey collecting data from the post‐lockdown period (2020). Methods: Participants were asked to provide data regarding their cytopathology activity during the first 12 weeks of their respective national post‐lockdown period (2020), which ranged from April 4 to October 31. Differences between the post‐lockdown period and the corresponding 2019 period were evaluated, and the authors specifically focused on rates of malignant diagnoses. Results: A total of 29 respondents from 17 countries worldwide joined the survey. Overall, a lower number of cytological specimens (n = 236,352) were processed in comparison with the same period in 2019 (n = 321,466) for a relative reduction of 26.5%. The overall malignancy rate showed a statistically significant increase (12,442 [5.26%] vs 12,882 [4.01%]; P <.001) during the same time period. Similar results were obtained if both malignancy and suspicious for malignancy rates were considered together (15,759 [6.58%] vs 16,011 [4.98%]; P <.001). Conclusions: The data showed a persistent reduction in the cytological specimen volume during the post‐lockdown period (2020). However, the relative increase in the cytological workload in the late part of the post‐lockdown is a promising finding of a slow return to normality. A persistent reduction in the cytological specimen volume during the post‐lockdown period has been observed. The relative increase in the cytological workload in the late part of the post‐lockdown period is a promising finding of a slow return to normality. [ABSTRACT FROM AUTHOR]