BME 325 last hw 2010

# BME 325 last hw 2010 - Positive Predictive Value Negative...

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BIOMEDICAL ENGINEERING 325 INTRODUCTION TO MEDICAL IMAGING FALL 2010 A. SAHAKIAN THE LAST HOMEWORK ASSIGNMENT ASSIGNED Monday 11/22/10 DUE Wednesday 12/1/10 1) Work Problem (7) on the previous homework (on noise figure). 2) Consider the following hypothetical scenario: You develop a new imaging method (named BCD) for detecting breast cancer (BC). You go on to test BCD in clinical trials on 10,000 randomly-selected patients, of whom 70 actually had BC as confirmed by a biopsy, which is considered to be the golden standard. Of these 70, 50 were detected by BCD and 20 were missed. Of the patients who did not have BC, 50 were detected by BCD as having BC and the rest were not. Calculate: The numbers of TP, TN, FP, FN, Sensitivity, Specificity,
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Unformatted text preview: Positive Predictive Value, Negative Predictive Value. 3) If BCD is widely deployed clinically and used on 1 million randomly-selected patients, of whom 7,000 actually have BC, a) How many would you expect BCD to incorrectly indicate have BC? b) How many would you expect BCD to correctly indicate have BC? c) How many would you expect BCD to incorrectly indicate do not have BC? d) How many would you expect BCD to correctly indicate do not have BC? 4) Comment on the utility of BCD. Given its performance, how might it be ethically used? Consider the viewpoints of the patient, the clinician, the insurer, and the manufacturer. (Note: The numbers I’m using in this problem are not based on the actual incidence of breast cancer in the US.)...
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