Tanya Chen1, Brian M Gilfix2,3, Juan Rivera3, Nader Sadeghi4, Keith Richardson4, Michael P Hier5, Véronique-Isabelle Forest5, Dina Fishman6, Derin Caglar7, Marc Pusztaszeri8, Elliot Jonathan Mitmaker9, Richard J Payne4,5. 1. Faculty of Medicine, McGill University, Montreal, Canada. 2. Divisions of Medical Biochemistry, and Department of Medicine, Royal Victoria Hospital, McGill University, Montreal, Canada. 3. Divisions of Endocrinology and Metabolism, Department of Medicine, Royal Victoria Hospital, McGill University, Montreal, Canada. 4. Department of Otolaryngology-Head and Neck Surgery, Royal Victoria Hospital, McGill University, Montreal, Canada. 5. Department of Otolaryngology-Head and Neck Surgery, and Jewish General Hospital, McGill University, Montreal, Canada. 6. Department of Nursing, Royal Victoria Hospital, McGill University, Montreal, Canada. 7. Department of Pathology, and Royal Victoria Hospital, McGill University, Montreal, Canada. 8. Department of Pathology, Jewish General Hospital, McGill University, Montreal, Canada. 9. Department of Surgery, Royal Victoria Hospital, McGill University, Montreal, Canada.
Abstract
Background: Although the current gold standard for diagnosing thyroid nodule malignancy is ultrasound-guided fine-needle aspiration (FNA) cytology, about 20-25% of cytological evaluations are considered indeterminate for malignancy. This limitation has led to the emergence of next-generation sequencing panels, for example, ThyroSeq v3 (TSv3), which recognize highly diagnostic genetic mutations of common thyroid carcinomas in FNA samples and classify them as test-negative or test-positive, helping optimize treatment for indeterminate thyroid nodules (ITNs). Our goals were to evaluate the benign call rate (BCR) of TSv3 and assess its diagnostic performance and clinical utility while highlighting the points of consideration for a public Canadian institution. Methods: This is a single-center study conducted at the Royal Victoria Hospital (McGill University Health Centre) in Montreal, Canada, between January and February 2019. Patients were offered TSv3 following the McGill algorithm for ITN workup, a novel protocol developed at our institution to select only diagnostic surgery candidates to minimize waste of public resources, considering the single-payer health care system. Patient demographics, cytopathology results, TSv3 data, treatment plan, and final histopathology result were reviewed. Results: A total of 50 ITNs underwent TSv3 testing; molecular analysis yielded 20 (40%) "positive" results and 24 (48%) "negative" results. Six (12%) results were classified as "currently negative" or "negative but limited." "Currently negative" results indicate a low-risk mutation that alone is insufficient for development of a malignant lesion. "Negative but limited" results indicate a sample that is nondiagnostic for malignancy due to low cell count. BCR was calculated as ("negative" and "currently negative")/total, resulting in a BCR of 58%. Twenty-three (46%) patients were scheduled for surgery and 27 (54%) patients continued with surveillance. Ninety-one percent (20 of 22) of the resected target nodules were malignant on final pathology. Conclusions: TSv3 proved beneficial in classifying ITNs as positive or negative, avoiding surgery in the latter cases. We found a lower reduction rate in surgery and BCR than the previously published studies, which is attributable to the criteria of the McGill algorithm. In the Canadian public health care system, preventing unnecessary surgery represents significant cost savings for the provincial government while also improving patient quality of life.
Background: Although the current gold standard for diagnosing thyroid nodule malignancy is ultrasound-guided fine-needle aspiration (FNA) cytology, about 20-25% of cytological evaluations are considered indeterminate for malignancy. This limitation has led to the emergence of next-generation sequencing panels, for example, ThyroSeq v3 (TSv3), which recognize highly diagnostic genetic mutations of common thyroid carcinomas in FNA samples and classify them as test-negative or test-positive, helping optimize treatment for indeterminate thyroid nodules (ITNs). Our goals were to evaluate the benign call rate (BCR) of TSv3 and assess its diagnostic performance and clinical utility while highlighting the points of consideration for a public Canadian institution. Methods: This is a single-center study conducted at the Royal Victoria Hospital (McGill University Health Centre) in Montreal, Canada, between January and February 2019. Patients were offered TSv3 following the McGill algorithm for ITN workup, a novel protocol developed at our institution to select only diagnostic surgery candidates to minimize waste of public resources, considering the single-payer health care system. Patient demographics, cytopathology results, TSv3 data, treatment plan, and final histopathology result were reviewed. Results: A total of 50 ITNs underwent TSv3 testing; molecular analysis yielded 20 (40%) "positive" results and 24 (48%) "negative" results. Six (12%) results were classified as "currently negative" or "negative but limited." "Currently negative" results indicate a low-risk mutation that alone is insufficient for development of a malignant lesion. "Negative but limited" results indicate a sample that is nondiagnostic for malignancy due to low cell count. BCR was calculated as ("negative" and "currently negative")/total, resulting in a BCR of 58%. Twenty-three (46%) patients were scheduled for surgery and 27 (54%) patients continued with surveillance. Ninety-one percent (20 of 22) of the resected target nodules were malignant on final pathology. Conclusions: TSv3 proved beneficial in classifying ITNs as positive or negative, avoiding surgery in the latter cases. We found a lower reduction rate in surgery and BCR than the previously published studies, which is attributable to the criteria of the McGill algorithm. In the Canadian public health care system, preventing unnecessary surgery represents significant cost savings for the provincial government while also improving patient quality of life.
Entities:
Keywords:
ThyroSeq; indeterminate thyroid nodules; molecular testing; thyroid cancer
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