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A Swin Transformer-Based Model for Thyroid Nodule Detection in Ultrasound Images
Published on: April 21, 2023
Performance of a Multigene Genomic Classifier in Thyroid Nodules With Indeterminate Cytology: A Prospective Blinded
David L Steward1, Sally E Carty2, Rebecca S Sippel3
1Department of Otolaryngology, Head and Neck Surgery, University of Cincinnati Medical Center, Cincinnati, Ohio.
A multigene classifier test accurately diagnoses indeterminate thyroid nodules, potentially avoiding unnecessary surgeries for many patients. This molecular test offers high sensitivity and negative predictive value for thyroid cancer detection.
Area of Science:
- Endocrinology
- Oncology
- Molecular Diagnostics
Background:
- Approximately 20% of thyroid fine-needle aspirations (FNA) yield indeterminate cytology (Bethesda III or IV).
- Diagnostic surgery is often pursued for these nodules to rule out malignancy, leading to overtreatment of benign cases.
Purpose of the Study:
- To evaluate the diagnostic accuracy of the ThyroSeq v3 multigene classifier (GC) test.
- To determine if this molecular test can reliably identify benign nodules and avoid unnecessary diagnostic surgeries.
Main Methods:
- A prospective, blinded, multicenter cohort study enrolled 256 patients with 286 cytologically indeterminate thyroid nodules.
- Thyroid nodule FNA samples underwent molecular analysis using the ThyroSeq v3 multigene GC test.
Main Results:
- The multigene GC test showed 94% sensitivity and 82% specificity for Bethesda III and IV nodules.
- The negative predictive value (NPV) was 97%, indicating high confidence in benign diagnoses.
- The test could potentially obviate diagnostic surgery in up to 61% of patients with indeterminate nodules.
Conclusions:
- The ThyroSeq v3 multigene GC test demonstrates high accuracy for indeterminate thyroid nodules.
- This molecular diagnostic approach may significantly reduce the need for diagnostic surgeries.
- Genetic alterations identified by the test can inform individualized patient treatment strategies.
Related Concept Videos
Blind Procedures
Classifying Matter by Composition
According to its composition, the matter can be classified into two broad categories — pure substances and mixtures.
A pure substance is a form of matter that has a constant composition throughout with uniform properties. For example, any sample of sucrose has the same composition and same physical properties, such as melting point, color, and sweetness, regardless of the source from which it is isolated.
A mixture is composed of two or...
Indeterminate Structure
Indeterminate Products
Blinding
Statically Indeterminate Problem Solving

