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An Amateur's View of MQSA Victor E. Anderson, C.H.P. Radiologic Health Branch California Department of Health Services.

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Presentation on theme: "An Amateur's View of MQSA Victor E. Anderson, C.H.P. Radiologic Health Branch California Department of Health Services."— Presentation transcript:

1 An Amateur's View of MQSA Victor E. Anderson, C.H.P. Radiologic Health Branch California Department of Health Services

2 The Circle Problem Inspectors are required by eye to determine if a part is “out of round”, e.g., not a circle. Not a hard process, unless you define “roundness.”

3 Mammography Similar problem: –Is it a cancer or ? Some Factors –Quality of image –Skill of interpreter –Size of tumor mass –Physical/Psychological

4 Problem Screening test. –Not expected to detect every tumor When does the interpreter and system fail? –Easy answer: does it meet MQSA Standards? What about false negatives and positives?

5 Facility Failure How bad is bad? Or “How many cancers went undetected that should have been seen?” Two interrelated areas: –Physical factors (“Physics”) –Ability of the Interpreter

6 Review Actions How far back in time does the problem go? –Previous inspections –Clinical Image Reviews MQSA records –Image Quality –Interpreter skill (Additional Mammography Review)

7 How Many? Typically 30 additional cases. Breast Cancer Rate –Various with age –About 0.008 on the average per screening Out of 1,000 cases, eight may have detectable cancer!

8 Rates and Sampling Mammography facilities see lots of patients. As much as 20 per day per machine. About 100 per week per machine. A ten machine facility could find about eight cases per week. What is bad?

9 False Negative Rates False Negative Rate ReferenceTotal PopulationAs a % of Total Population As a % of the Total Number of Women Found to have Cancer 127,3050.1831%15.4% 2752,0810.025%5.1% 3389,5330.081%19.1% Weighted Averages0.04%10%

10 False Negatives Indications are that –For every eight –About two will be missed. Given a poorly performing facility –How many films to review? –How bad is bad?

11 How Far Back? Ideally no further than last inspection. Indicators –Daily checks –Physics reports –Referrals –CIR –AMR

12 One Testing Solution Make a time estimate. Using average rates, determine number of cases seen. Total number of films. How big a sample?

13 Sample Size Mil spec tables or AQL –Period of potential sub standard performance is 10 weeks. –Four machine facility. –4,000 patients. –AQL table indicates 200 samples with an acceptance level of one false negative. –And a rejection level of two false negatives.

14 Issues Cost of sample size. What is at stake? Rational assurance that proper screening occurred. Follow up

15 Conclusions MQSA provides good QA/QC Need Sampling scheme to follow up. Provide rational basis for extent of a problem with respect to time. How many patients to notify? Aid in corrective actions.

16 References False-negative breast screening assessment: what lessons can we learn?, Burrell HC, Evans AJ, Wilson AR, Pinder SE., Clin Radiol 2001 May;56(5):385-8 Comparison of full-field digital mammography with screen-film mammography for cancer detection: results of 4,945 paired examinations., Lewin JM, Hendrick RE, D'Orsi CJ, Isaacs PK, Moss LJ, Karellas A, Sisney GA, Kuni CC, Cutter GR., Radiology 2001 Mar;218(3):873-80 The evaluation of false negative mammography from malignant and benign breast lesions., Wang J, Shih TT, Hsu JC, Li YW., Clin Imaging 2000 Mar-Apr;24(2):96- 103


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