Faculty Bibliography

BACKGROUND:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is responsible for coronavirus disease 2019 (COVID-19), is known to cause severe respiratory infections with occasional accompanying pleural effusion (PE), pericardial effusion (PCE), or peritoneal effusion (PTE). The effect of COVID-19 on effusion cytology is not yet known. This study aimed to examine the cytomorphologic features and workup of effusion fluids in patients with active COVID-19 infection versus those in recovery. METHODS:PE (n = 15), PCE (n = 1), and PTE samples (n = 20) from hospitalized patients with a SARS-CoV-2 infection (from June 1, 2020, to December 30, 2020) were reviewed. Effusion fluids with metastatic carcinoma were excluded. Differential cell counts, cytomorphology, and relevant immunostains for effusion fluids were retrospectively evaluated and compared between patients with active infection (positive on a SARS-CoV-2 nucleic acid amplification test [NAAT] within 2 months; n = 23) and those in the recovery phase from COVID-19 (negative on a SARS-CoV-2 NAAT for >2 months; n = 13). RESULTS:The cytology diagnoses were negative for malignancy (n = 31), atypical (n = 4), and suspicious for malignancy (n = 1). Active infection cases showed more atypical mesothelial cells than recovery cases (P < .05); some had enlarged nuclei, prominent nucleoli, occasional multinucleation, and bizarre nuclei. Immunostains were performed more often in active infection cases than recovery cases (47.8% vs 7.7%; P < .05). Differential cell counts (available for 28 cases) showed no significant differences between the active infection and recovery groups. CONCLUSIONS:This study found atypical and bizarre mesothelial cells more often in effusions of cases with active COVID-19 infection in comparison with patients in recovery. It is important for cytopathologists to become familiar with the cytomorphologic effects of SARS-CoV-2 on effusion cytology so that these cases can be properly triaged.

Glomus tumors make up 1% of stromal tumors of the stomach. Radiologic diagnosis of glomus tumors can be challenging as they share imaging characteristics with other neuroendocrine tumors and gastrointestinal stromal tumors. Endoscopic ultrasound-guided fine-needle aspiration (EUS-FNA) has been reported as a useful method for the evaluation of gastrointestinal lesions. We report two cases of gastric glomus tumors in which EUS-FNA diagnosis was challenging. Cytologically, neoplastic cells were round to oval, uniform, bland appearing epithelioid cells with delicate chromatin and inconspicuous to vague nucleoli. Both samples lacked worrisome features such as high nuclear grade, high mitotic rate, and necrosis. Neoplastic cells were negative for Cam5.2 and AE1/AE3 with focal expression of synaptophysin in one of the cases. A definitive diagnosis was not made based on FNA. Familiarity with glomus tumors in the GI system and procurement of adequate material for cell block allowing the use of immunohistochemistry may allow an accurate preoperative diagnosis.

Importance/UNASSIGNED:Genomic classifiers were developed to better guide clinicians in the treatment of indeterminate thyroid nodules (ITNs). To our knowledge, whether there is variation in the diagnostic accuracy of these tests depending on ITN size has not been previously studied. Objective/UNASSIGNED:To analyze the diagnostic performance of a genomic classifier in relation to ITN size. Design, Setting, and Participants/UNASSIGNED:A case series study with medical records review was conducted including all patients with a cytologic diagnosis of ITN managed with genomic classifier testing and surgery from January 2015 to December 2018 at NYU Langone Health. Demographics, ITN characteristics, genomic profiles, treatment, and final pathologic findings were recorded. Data analysis was conducted from March to April 2021. Main Outcomes and Measures/UNASSIGNED:The primary aim was to assess the positive predictive value (PPV), negative predictive value (NPV), sensitivity, and specificity of a genomic classifier test (ThyroSeq) in relation to ITN size (<2, 2-4, and >4 cm). The secondary aim was to investigate the risk of cancer associated with genetic signatures. Results/UNASSIGNED:Of the 212 patients with 218 ITNs, 158 (74.5%) were women; median (SD) age was 49 (15.6) years. Genomic classifier results were positive in 173 ITNs (79.4%) treated with surgery. In this group of 173 positive ITNs, 46 (26.6%) were malignant on final pathologic testing. Overall, the observed cancer prevalence in the population was 23.9% (52 ITNs). In 45 ITNs that underwent surgery despite a negative genomic classifier interpretation, 6 (13.3%) were malignant. The PPV of a positive test was 27% and the NPV was 87%. The PPV and NPV findings improved as the ITN size increased (<2 cm [n = 98]: PPV, 25%; NPV, 79% vs >4 cm [n = 33]: PPV, 50%; NPV, 89%). Test specificity was higher in larger ITNs (<2 cm: 15% vs >4 cm: 40%; P = .01). Isolated RAS sequence variations were the most common variant identified in malignant nodules (11 [21.1%] of all ITNs), followed by BRAF variants (7 [13.5%] of all ITNs). Conclusions and Relevance/UNASSIGNED:In this case series, the performance of the ThyroSeq test improved for larger ITNs. The risk of cancer in large ITNs with negative test results was low. These data suggest that, in genomic classifier-negative ITNs larger than 4 cm, initial management of thyroid lobectomy may be sufficient.

INTRODUCTION/BACKGROUND:There is no consensus for interpretation of p16 immunohistochemistry (IHC) in cytology preparations. Our study aims to assess p16 IHC staining in formalin-fixed cytology cell blocks (CBs) from head and neck squamous cell carcinoma (HNSCC) fine-needle aspiration (FNA) specimens in comparison with surgical pathology p16 staining and to determine the reproducibility of p16 IHC scoring in CBs. METHODS:) was calculated to assess inter-rater reliability. RESULTS:= 0.79 (95% CI: 0.61-0.98). CONCLUSION/CONCLUSIONS:p16 IHC performed on cytology CBs can serve as a surrogate marker for the detection of HPV with high sensitivity and specificity levels. Using a threshold lower than that recommended for surgical pathology for the interpretation of p16 positivity may be appropriate for FNA cytology CB preparations. All cytopathologists in our study displayed reproducible high sensitivity and specificity values at the >10% threshold.

Introduction: SARS-CoV-2 (COVID-19) is known to cause severe respiratory infections with occasional accompanying pleural (PE), pericardial (PCE) or peritoneal effusion (PTE). The effect of COVID-19 disease on effusion cytology is not yet known. Therefore, our study aims to examine the cytomorphologic features and work-up of effusion fluid in patients in recovery from COVID-19 infection versus those with active disease.
Material(s) and Method(s): PE (n=15), PCE (n=1), PTE (n=19) samples from hospitalized patients with COVID-19 infection (6/1/2020-12/30/2020) were reviewed. EFs with metastatic carcinoma were excluded. Differential cell count (DCC), cytomorphology, and immunostains of EFs were retrospectively evaluated by a board-certified cytopathologist and compared between patients with active infection (AI, n=22, positive COVID-19 nucleic acid amplification test (NAAT) within 2 months) and recovery phase from COVID-19 (RC, n=13, negative COVID-19 NAAT for >2 months).
Result(s): Cytology diagnoses were: negative for malignancy (n=30), atypical (n=4), suspicious for malignancy (n=1). AI cases showed more atypical mesothelial cells than RC cases (Table 1, p<0.05), some with enlarged nuclei with prominent nucleoli and occasional multi-nucleation (Figure 1), and some with bizarre nuclei (Table 1, p<0.01). Immunostains were performed more often in AI than RC cases (50.0% vs 7.7%, p<0.05). DCC (available in 28 cases) showed no significant difference amongst AI and RC cases (Figure 1, p>0.05).
Conclusion(s): Our study found atypical and bizarre mesothelial cells to be present more often in effusions of cases with active COVID-19 infection than in samples from patients in recovery, though DCCs did not show significant difference. Diagnosis of malignancy may be considered in cases with such nuclear atypia, which explains increased immunostain work-up in AI cases. It is important for cytopathologists to consider the patients' COVID-19 infection status when evaluating effusion cytology cases. [Formula presented] [Formula presented] [Formula presented]
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Introduction: Preoperative diagnosis of pancreas ductal adenocarcinoma (PDAC) on endoscopic ultrasound guided fine needle aspiration (FNA) cytology is often required to determine proper therapy. Accurate cytopathology diagnosis on FNA may be challenging due to limited/suboptimal cellularity and gastrointestinal contamination with accurate diagnoses necessitating consideration of the full clinical and radiologic picture in evaluating the pancreatic lesions. In this study, we investigated predictive value of integrating cytology diagnosis, radiologic and clinical features in diagnosing pancreatic adenocarcinoma.
Material(s) and Method(s): Pancreatic FNA cases from 1/2016-12/2018 with >18 months of follow-up or histopathology diagnosis on surgical resection were retrieved (n=203). Cases were categorized as "Adenocarcinoma" or "Benign" according to the surgical resection pathology or clinical follow-up. Their documented serum CA19-9 level, and in-house radiologic reports were studied (n=177, Table 1). A multiplayer perceptron neural network (MNN) was trained and tested for the ability of using the integrated clinical and radiologic features and cytologic diagnosis to distinguish between benign and malignant cases.
Result(s): The sensitivity, specificity, and accuracy for pancreatic FNA cytology alone was 77.5%, 97.6%, and 88.4%, respectively. There were significant correlations between malignant outcome and cytology diagnosis, CA19-9 level and involvement of common bile duct (CBD), pancreatic duct (PD), superior mesenteric artery (SMA) or superior mesenteric vein (SMV) (Table 1, p<0.001). Integration of the cytology diagnosis and CA19-9 level showed 92% accuracy in predicting surgical outcome. The MNN highlighted cytopathology to be the most important factor in predicting pancreatic lesion outcomes, followed by the serum CA19-9 level and involvement of the SMA (Figure 1).
Conclusion(s): Integration of the clinical and radiologic information with cytology diagnosis can improve accuracy in evaluating pancreatic adenocarcinomas, especially in suboptimal FNA cytology specimens. [Formula presented] [Formula presented]
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