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Increasing efficiency in the ACR Digital Mammography QC Manual's DBT Z-resolution evaluation
Ryan F Fisher1, Nicholas B Bevins2, Katie W Hulme3
1Department of Radiology, Case Western Reserve University/The MetroHealth System, Cleveland, Ohio, USA.
Background:
The Z-resolution evaluation in the ACR Digital Mammography (DM) QC manual measures a pseudo full width half max (pFWHM) from speck group signals through slices of the phantom for comparison to a baseline value.
Purpose:
The evaluation requires measurement of seven ROIs on up to nine slices, for a potential of up to 63 ROIs. This work evaluates whether measuring fewer ROIs would produce similar results.
Methods:
Z-resolution data from 468 surveys from 147 mammography units were retrospectively analyzed. The pFWHM was calculated using the 6-speck mean (pFWHM6) as described in the ACR manual, as well as using each single speck (pFWHM1), and all combinations of a 2-speck mean (pFWHM2) using the center and each peripheral speck. Deviation from the respective initial measured pFWHMinitial was determined for all units with at least two surveys.
Results:
The pFWHM1 had an average absolute error of 6.0% relative to pFWHM6 across all surveys, compared to 3.9% for pFWHM2. For the 111 units with longitudinal data, the mean absolute deviation from pFWHMinitial was 7.8% for pFWHM1, compared to 5.6% for pFWHM2, and 5.1% for pFWHM6. For longitudinal testing, pFWHM6 produced two failures that were related to major component replacement. Both pFWHM1 and pFWHM2 methods caught those failures for a false negative rate of 0%. However, pFWHM1 had a false positive rate of 12.9%, while pFWHM2's was only 2.8%. No positive test from any method was attributable to actual equipment failure.
Conclusion:
A single-speck pFWHM for ACR DM QC resulted in high variability and frequent unit failures for the Z-resolution evaluation. However, a 2-speck pFWHM produced results clinically equivalent to the 6-speck method. Using the 2-speck method as an alternative methodology for Z-resolution evaluation achieves similar results with 57% fewer measurements, increasing the efficiency of testing.

