Lynch Syndrome Risk Models

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| By Michellecmartin

Michellecmartin

Community Contributor

Quizzes Created: 1 | Total Attempts: 312

Questions: 9 | Attempts: 312 | Updated: Mar 20, 2023

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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.

Questions and Answers

1.

What does ROC Curve stand for?
- A.
  
  Results Outcome Curve
- B.
  
  Receiver Operating Characteristic Curve
- C.
  
  Random Operating Curve
- D.
  
  Ratio of Chance Curve
- E.
  
  Not interested in CEU credit
Correct Answer
B. 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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2.

Which model does not account for tumor location or MSI/IHC?
- A.
  
  PREMM1,2,6
- B.
  
  MMRpro
- C.
  
  MMRPredict
- D.
  
  All of the models account for MSI/IHC
- E.
  
  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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3.

Which model estimates the risk that a patient will carry a PMS2 mutation?
- A.
  
  PREMM1,2,6
- B.
  
  MMRpro
- C.
  
  MMRPredict
- D.
  
  None of the above
- E.
  
  Not interested in CEU credit
Correct Answer
D. 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.

Which model requires that the proband be affected with colorectal cancer?
- A.
  
  PREMM1,2,6
- B.
  
  MMRpro
- C.
  
  MMRPredict
- D.
  
  None of the above
- E.
  
  Not interested in CEU credit
Correct Answer
C. MMRPredict

Explanation
MMRPredict is the model that requires the proband to be affected with colorectal cancer. This means that in order to use the MMRPredict model, the individual being tested must have a history of colorectal cancer. The other models listed, PREMM1,2,6 and MMRpro, do not have this requirement.

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5.

Which model provides cancer risk estimates in addition to mutation risks?
- A.
  
  PREMM1,2,6
- B.
  
  MMRpro
- C.
  
  MMRPredict
- D.
  
  None of the above
- E.
  
  Not interested in CEU credit
Correct Answer
B. 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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6.

Did the webcast improve your knowledge about Lynch syndrome risk models?
- A.
  
  Yes
- B.
  
  No
Explanation
The webcast improved the knowledge about Lynch syndrome risk models.

Rate this question:
7.

Was the information presented useful to you?
- A.
  
  Yes
- B.
  
  No
8.

How could this webinar have been improved?
9.

What additional topics would you like to see presented?

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Current Version
Mar 20, 2023

Quiz Edited by
ProProfs Editorial Team
Aug 27, 2012

Quiz Created by
Michellecmartin

Lynch Syndrome Risk Models

What does ROC Curve stand for?

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

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

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

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

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

Was the information presented useful to you?

How could this webinar have been improved?

What additional topics would you like to see presented?