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Ardms Rvt Exam Final Paper Solved Questions.pdf

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Comprehensive ARDMS RVT exam preparation covering vascular anatomy and physiology, hemodynamics, Doppler principles, arterial and venous disease, cerebrovascular studies, abdominal vascular testing, peripheral vascular examinations, and ultrasound instrumentation.

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ARDMS RVT EXAM FINAL PAPER SOLVED
QUESTIONS
⫸ Venous stasis. Answer: Slowed blood flow in veins. Caused by
immobility, myocardial infarction, CHF, hypotension, COPD, obesity,
pregnancy, previous DVT, extrinsic compression, SVC syndrome,
paraplegia, surgery associated conditions.


⫸ 2 types of Trauma/endothelial damage. Answer: Intrinsic and
extrinsic


⫸ Intrinsic trauma is. Answer: Damage to the vessel wall from
intravenous drugs or a catheter. Increased use of PICC line results in
higher incidence of upper extremity thrombus, usually developing at
most proximal portion of PICC line.


⫸ Extrinsic trauma is. Answer: Damage caused by an accident, which
can occur at any site of the body.


⫸ Hypercoagulability is associated with. Answer: Pregnancy, cancer,
oral contraceptives and/or hormone replacement therapy, inherited
states,e.g., factor V Leiden or protein C, protein S, or Antithrombin III
deficiency


⫸ Sensitivity, and

, How to calculate?. Answer: -Ability of a test to detect disease, how
many tests are correctly called positive.
- # of true positives divided by # of all positive tests by gold standard, or
TP/TP+FN


⫸ Specificity, and how to calculate?. Answer: -Ability of a test to
identify normality, or how many results were correctly called negative.
- # of true negative divided by # of all negative tests by gold standard, or
TN/TN+FP


⫸ Positive predictive value, and how to calculate?. Answer: -percentage
of test results that accurately predict abnormality, or what % correctly
predicted disease.
- # of true positive test divided by # of all positive tests, or TP/TP+FP


⫸ Negative predictive value, and how to calculate?. Answer: -
percentage of test results that accurately predict normality, or what %
correctly predicted absence of disease.
- # of true negatives divided by # of all negative tests, or TN/TN+FN


⫸ Accuracy, and how to calculate?. Answer: - % of correct tests, or how
well does the test both detect and rule out disease.
- total # of correct tests divided by total # of all tests, or
TP+TN/TP+FP+FN+TN

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