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Nodule Evaluation Training

Nodule Evaluation Training
from 4 to 360h flexible workload
valid certificate in your country

What will I learn?

This course equips you with essential skills to confidently evaluate thyroid and lung nodules. You will master CT and ultrasound methods, along with TI-RADS, ATA, Lung-RADS, and Fleischner guidelines. Learn to apply risk calculators, interpret PET-CT, and determine indications for FNA and biopsies. Structured workflows, case simulations, and evidence-based protocols will enhance your reporting accuracy, risk discussions, and follow-up plans.

Elevify advantages

Develop skills

  • Master imaging of thyroid and lung nodules with precise, guideline-driven descriptions.
  • Apply TI-RADS, ATA, Fleischner, and Lung-RADS systems for accurate risk classification.
  • Utilise Brock, Mayo, and TI-RADS calculators to quickly gauge malignancy risks.
  • Develop plans for FNA, monitoring, PET-CT, or biopsy via evidence-based protocols.
  • Craft effective nodule reports highlighting risks, follow-ups, and critical notes.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to switch platforms... I thank you for everything you do, I've already recommended you to other people...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos really help with learning.
André Felipe
André FelipePrompt Engineering Student

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