Faculty Bibliography

Thyroid cytology has in recent years been augmented by molecular testing for indeterminate lesions. Three commercial molecular tests are available which provide variable amounts of detail regarding the genetic alterations identified in a sample. This paper will describe these tests, as well as the common molecular drivers associated with papillary thyroid carcinoma (PTC) and follicular patterned lesions, in order to help the practicing pathologist and clinician better interpret the results of these tests and incorporate this information into their management of cytologically indeterminate thyroid lesions.

INTRODUCTION/BACKGROUND:The American College of Radiology (ACR) Thyroid Imaging Reporting and Data Systems (TI-RADS) was developed to standardize thyroid ultrasound reports and predict the likelihood of malignancy. In our study, we aimed to correlate indeterminate thyroid fine needle aspiration cytology cases with preceding ultrasound (US) ACR TI-RADS scores and concurrent molecular testing results to examine how well the use of the ACR TI-RADS in our institution predicted which patients with indeterminate cytology might harbor molecular alterations. MATERIALS AND METHODS/METHODS:We performed a retrospective review of thyroid nodules. Patients with US reports that included TI-RADS scores, fine needle aspiration specimens with indeterminate cytology (Bethesda class III-V), and molecular testing results were included. RESULTS:A total of 46 indeterminate cytology cases had had preceding US reports with TI-RADS scores and molecular testing (Bethesda class III, n = 37; Bethesda class IV, n = 6; Bethesda class V, n = 3). Most of the indeterminate cases had had a TI-RADS score of TR4 (31 of 46; 67.39%) or TR5 (9 of 46; 19.57%). RAS mutations were the most common alteration (n = 12). Of the 46 cases, 22 (47.85%) showed no alterations. Ten cases proceeded to surgery, of which seven displayed malignancies. CONCLUSIONS:Molecular testing in cytologically indeterminate thyroid nodules provided valuable information for TR4 and TR5 lesions; however, the TR2 and TR3 lesions often had no molecular alterations. These findings highlight the potential value of including US imaging features when assessing the significance of indeterminate cytology findings.

OBJECTIVES/OBJECTIVE:Resident assessment tends to consist of multiple-choice examinations, even in nuanced areas, such as quality assurance. Internal medicine and many other specialties use objective structured clinical examinations, or OSCEs, to evaluate residents. We adapted the OSCE for pathology, termed the Objective Structured Pathology Examination (OSPE). METHODS:The OSPE was used to evaluate first- and second-year residents over 2 years. The simulation included an anatomic pathology sign-out session, where the resident could be evaluated on diagnostic skills and knowledge of key information for cancer staging reports, as well as simulated frozen-section analysis, where the resident could be evaluated on communication skills with a "surgeon." The OSPE also included smaller cases with challenging quality issues, such as mismatched slides or gross description irregularities. All cases were scored based on the Pathology Milestones created by the Accreditation Council for Graduate Medical Education. RESULTS:Using this OSPE, we were able to demonstrate that simulated experiences can be an appropriate tool for standardized evaluation of pathology residents. CONCLUSIONS:Yearly evaluation using the OSPE could be used to track the progress of both individual residents and the residency program as a whole, identifying problem areas for which further educational content can be developed.

Effective public response to a pandemic relies upon accurate measurement of the extent and dynamics of an outbreak. Viral genome sequencing has emerged as a powerful approach to link seemingly unrelated cases, and large-scale sequencing surveillance can inform on critical epi-demiological parameters. Here, we report the analysis of 864 SARS-CoV-2 sequences from cases in the New York City metropolitan area during the COVID-19 outbreak in Spring 2020. The majority of cases had no recent travel history or known exposure, and genetically linked cases were spread throughout the region. Comparison to global viral sequences showed that early transmission was most linked to cases from Europe. Our data are consistent with numerous seeds from multiple sources and a prolonged period of unrecognized community spreading. This work highlights the complementary role of genomic surveillance in addition to traditional epidemiological indicators.

The dynamics of viral load (VL) of the 2019 novel coronavirus (severe acute respiratory syndrome coronavirus 2) and its association with different clinical parameters remain poorly characterized in the US patient population. Herein, we investigate associations between VL and parameters, such as severity of symptoms, disposition (admission versus direct discharge), length of hospitalization, admission to the intensive care unit, length of need for oxygen support, and overall survival in a cohort of 205 patients from a tertiary care center in New York City. VL was determined using quantitative PCR and log10 transformed for normalization. Univariate and multivariate regression models were used to test these associations. We found that diagnostic viral load is significantly lower in hospitalized patients than in patients not hospitalized (log10 VL = 3.3 versus 4.0; P = 0.018) after adjusting for age, sex, race, body mass index, and comorbidities. Higher VL was associated with shorter duration of the symptoms in all patients and hospitalized patients only and shorter hospital stay (coefficient = -2.02, -2.61, and -2.18; P < 0.001, P = 0.002, and P = 0.013, respectively). No significant association was noted between VL, admission to intensive care unit, length of oxygen support, and overall survival. Our findings suggest a higher shedding risk in less symptomatic patients, an important consideration for containment strategies in severe acute respiratory syndrome coronavirus 2. Furthermore, we identify a novel association between viral load and history of cancer. Larger studies are warranted to validate our findings.