A Novel Ultrasound Probe for Thyroid Imaging and Machine Learning

• Thyroid ultrasound (Diagnostic test): Patients who are scheduled for a SOC surveillance Thyroid Nodule Ultrasound will undergo a second ultrasound using the Sound Blade Ultrasound.

Primary outcomes

• The Ability to Visualization Thyroid Nodules and other key Anatomical Structures [Day 1]: The primary endpoint is to evaluate the ability to visualize thyroid nodules and other key anatomical structures with the investigational device compared to the SOC US imaging device.
• Evaluate the visibility/detection performance of a machine-learning model [Day 1]: A machine-learning model will be created to identify and segment thyroid nodules and key anatomical neck structures. The first outcome will evaluate performance of visibility and detection using standard classification measures
• Evaluate the segmentation performance of a machine-learning model [Day 1]: A machine-learning model will be created to identify and segment thyroid nodules and key anatomical neck structures. The second outcome will evaluate performance on delineable cases.

Sex: All, ages: 18 Years to any

Inclusion Criteria:

* Participants must be ≥ 18 years of age
* Able and willing to sign informed consent
* Known thyroid nodule demonstrated on a prior thyroid US and is undergoing active surveillance of the nodule with serial USs

Exclusion Criteria:

* Unable to lay flat for 15 minutes
* Active neck wounds, dressings, or skin conditions that would interfere with neck US (e.g., preclude transducer placement)
* Cervical spine or back disease that would prevent neck extension and would hinder the ability to obtain accurate thyroid US images
* Previous thyroid surgeries, radiation of face and neck
* Known inflammatory thyroid diseases or thyroiditis (e.g., Graves, Hashimoto)

• Richard Bayls, MD, Principal investigator, Nova Scotia Health Authority