Abstract Papillary thyroid cancer (PTC), the most prevalent form of thyroid malignancy, is generally indolent but poses a recurrence risk of 10%-15%, leading to a clinical paradox: the need to…
This article discusses the limitations of current clinicopathologic approaches to risk stratification in papillary thyroid cancer and introduces Thyroid GuidePx® as a molecular diagnostic tool to better predict recurrence risk.…
Abstract Cancer care through molecular diagnostics: Addressing papillary thyroid cancer Oliver Bathe from the University of Calgary and Qualisure Diagnostics, walks us through addressing the surge in papillary thyroid cancer…
The tall cell variant of papillary thyroid cancer generally has a worse prognosis compared with the classical variant. Thyroid GuidePx is a genomic classifier capable of classifying papillary thyroid cancer into 3 molecular subtypes using fine-needle aspirate. Type 1 and 2 have low recurrence rates, particularly in early tumors (1–4 cm and N0). Type 3 is characterized by aggressive biology and high recurrence rates regardless of size and lymph node status. The study examines the interaction of tall cell variant histology with Thyroid GuidePx risk stratification.
Abstract: 0539 American Thyroid Association Annual Meeting Oct 30 – Nov 3, 2024 This is early work describing the development of an algorithm for predicting resistance to RAI. The internal…
Abstract: 0551 American Thyroid Association Annual Meeting Oct 30 - Nov 3, 2024 Here we wanted to explore whether the biology captured by our prognostic test, Thyroid GuidePx, was present…
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Clinical management of papillary thyroid cancer depends on estimations of prognosis. Standard care, which relies on prognostication based on clinicopathologic features, is inaccurate. We applied a machine learning algorithm (HighLifeR)…