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AmCad BioMed Corporation

+886-2-2713-6227

marketing@amcadbiomed.com

Fl.5-2, No. 167, Fu Hsing N. RD. Taipei 105, Taiwan

Thyroid nodule is the most common thyroid disease. On average, one out of 4~5 people suffer from thyroid nodules. Given this high incidence rate, it is crucial for doctors and companies to develop new solutions.

More than 300 million people worldwide suffer from thyroid disease. Women are 8 times more likely than men to have thyroid related issues, and studies have shown that 10% of women above the age of 40 suffer from thyroid disease.

8 th

Thyroid cancer is the 8th most common cancer among women worldwide

5 th

In the United States, Canada, and South America, thyroid cancer is the 5th most common cancer among women

9 th

In Asia and China, thyroid cancer is the 9th most prevalent cancer

5 times

Thyroid cancer has the highest growth rate of all cancers in China with incidence rates increasing 5 times over the last 10 years

10 th

Thyroid cancer has become one of the top 10 cancers in Russia, Australia, and France

Current Detection Methods

Issues with Current Thyroid Detection & Diagnosis

  • 1

    Different physicians may reach different interpretations over the same image. This inconsistency may reach up to 70%.

  • 2

    Same doctor may reach different conclusions at different times.

  • 3

    Approximately 30% indeterminate diagnosis rate, in addition to the already 15% of FNAs result in inadequate sampling.

Unnecessary Surgery

Benign or not, patients require life-long medication after thyroidectomy, however, 50% of surgery cases turn out benign.

AmCAD-UT®

  • ROI

  • Echogenicity

  • Echogenic foci

  • Texture

  • Margin

  • Anechoic areas

AmCAD-UT® Detection gives physicians the tools necessary to process ultrasound images for sonographic characteristics, helping them to make more confident diagnostic decisions.


Our platform uses statistical pattern recognition and quantification methods to process sonographic images.

  • Hypoechogenicity

  • Echogenic Foci

  • Heterogeneity

  • ill-defined Margin

AmCAD-UT® Detection analyzes images for key characteristics (i.e., hyperechoic foci, echogenicity, texture, margin, anechoic areas, height/width ratio, tumor shape, and tumor size) to provide physicians with both the visual and quantitative data.
ADVANTAGES
CLINICAL WORKFLOW

Ultrasound Examination

PACS for Storing Images

Loading Ultrasound Images

Click to Try It!

Fine Needle Aspiration

Automated Report Generation

Follow-up with AmCAD-UT®

VIDEO
*AmCAD-UT has 510(k) clearance(K203555) and CE mark(NB1639). For more product information, please click on“CONTACT US” below.
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