Lynch Syndrome Risk Models

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| By Michellecmartin
M
Michellecmartin
Community Contributor
Quizzes Created: 1 | Total Attempts: 313
| Attempts: 313
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  • 1/9 Questions

    Which model requires that the proband be affected with colorectal cancer?

    • PREMM1,2,6
    • MMRpro
    • MMRPredict
    • None of the above
    • Not interested in CEU credit
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About This Quiz

Instructions to participants:
All participants are encouraged to answer questions 6-9. Participants registered to earn CEUs are required to answer questions 1-5 and score a minimum of 80% (4/5 correct). You will be able to re-take the quiz until a passing score is reached. Participants who are not interested in CEU credit, please select the "Not interested in CEU credit" option for questions 1-5 and answer only questions 6-9.

Genetics Quizzes & Trivia

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  • 2. 

    Which model provides cancer risk estimates in addition to mutation risks?

    • PREMM1,2,6

    • MMRpro

    • MMRPredict

    • None of the above

    • Not interested in CEU credit

    Correct Answer
    A. MMRpro
    Explanation
    MMRpro is the model that provides cancer risk estimates in addition to mutation risks. This model is specifically designed to assess the risk of colorectal cancer in individuals with Lynch syndrome. It incorporates various factors such as age, sex, family history, and tumor characteristics to calculate an individual's lifetime risk of developing colorectal cancer. By providing both mutation risks and cancer risk estimates, MMRpro allows healthcare professionals to better understand and communicate the potential risks to their patients.

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  • 3. 

    Which model estimates the risk that a patient will carry a PMS2 mutation?

    • PREMM1,2,6

    • MMRpro

    • MMRPredict

    • None of the above

    • Not interested in CEU credit

    Correct Answer
    A. None of the above
    Explanation
    None of the above models estimate the risk that a patient will carry a PMS2 mutation.

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  • 4. 

    What does ROC Curve stand for?

    • Results Outcome Curve

    • Receiver Operating Characteristic Curve

    • Random Operating Curve

    • Ratio of Chance Curve

    • Not interested in CEU credit

    Correct Answer
    A. Receiver Operating Characteristic Curve
    Explanation
    The ROC Curve stands for Receiver Operating Characteristic Curve. This curve is a graphical representation of the performance of a binary classifier system as its discrimination threshold is varied. It shows the trade-off between the true positive rate (sensitivity) and the false positive rate (1-specificity). The ROC curve is commonly used in machine learning and diagnostic medicine to evaluate the performance of classification models.

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  • 5. 

    Which model does not account for tumor location or MSI/IHC?

    • PREMM1,2,6

    • MMRpro

    • MMRPredict

    • All of the models account for MSI/IHC

    • Not interested in CEU credit

    Correct Answer
    A. PREMM1,2,6
    Explanation
    PREMM1,2,6 is the model that does not account for tumor location or MSI/IHC. This means that when using this model, the prediction or analysis does not take into consideration the specific location of the tumor or the results of MSI/IHC testing.

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  • 6. 

    Did the webcast improve your knowledge about Lynch syndrome risk models?

    • Yes

    • No

    Explanation
    The webcast improved the knowledge about Lynch syndrome risk models.

    Rate this question:

  • 7. 

    Was the information presented useful to you?

    • Yes

    • No

  • 8. 

    How could this webinar have been improved?

  • 9. 

    What additional topics would you like to see presented?

Quiz Review Timeline (Updated): Mar 20, 2023 +

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  • Current Version
  • Mar 20, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Aug 27, 2012
    Quiz Created by
    Michellecmartin
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