Guide-linked quiz · Medium Level

AI in Radiation Therapy Planning Quiz

Tests auto-contouring of targets and organs at risk, knowledge-based dose planning, Dice score limits, and the physicist review that stays in the loop.

Question 1 of 8

What does auto-contouring do in radiation therapy planning?

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Answers and explanations appear as you take the quiz.

  1. What does auto-contouring do in radiation therapy planning?
    • Delivers the radiation beam
    • Outlines tumors and organs at risk on CT or MRI scans
    • Schedules patient appointments
    • Calculates the patient's bill
  2. Which contouring task is currently most mature for AI?
    • Organs at risk such as the spinal cord and parotid glands
    • Clinical target volumes after surgery
    • Deciding the radiation prescription
    • Choosing whether to treat at all
  3. What does the planning target volume (PTV) add to the clinical target volume?
    • The patient's healthy organs
    • A second tumor
    • A margin for setup errors and motion
    • Nothing; they are the same
  4. How does knowledge-based planning such as RapidPlan work?
    • It measures dose with a physical detector
    • It lets patients design their own plans
    • It removes the need for imaging
    • It learns from prior approved plans to predict achievable dose-volume histograms
  5. Why is a high Dice score not enough to prove a contour is clinically acceptable?
    • Dice ignores where errors occur, and a small error near a critical organ can matter a lot
    • Dice only measures image brightness
    • Dice scores are always 100 percent
    • Dice measures dose, not shape
  6. Why does adaptive radiotherapy benefit strongly from AI?
    • It removes the need for a linear accelerator
    • Re-contouring and re-planning while the patient waits must happen within minutes
    • It uses no imaging
    • It only treats skin cancers
  7. Who approves contours and treatment plans before delivery?
    • The AI vendor
    • The hospital billing office
    • Radiation oncologists, with medical physicists checking plans and running QA
    • The patient alone
  8. What should a clinic do when an auto-contouring vendor releases a model update?
    • Use it immediately without testing
    • Stop using AI permanently
    • Retrain it on one patient
    • Re-validate it on local data before clinical use

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