Implementation and evaluation of a protocol management system for automated review of CT protocols.
Protocol review is important to decrease the risk of patient injury and increase the consistency of CT image quality. A large volume of CT protocols makes manual review labor-intensive, error-prone, and costly. To address these challenges, we have developed a software system for automatically managing and monitoring CT proto-cols on a frequent basis. This article describes our experiences in the implementation and evaluation of this protocol monitoring system. In particular, we discuss various strategies for addressing each of the steps in our protocol-monitoring workflow, which are: maintaining an accurate set of master protocols, retrieving protocols from the scanners, comparing scanner protocols to master protocols, reviewing flagged differences between the scanner and master protocols, and updating the scanner and/or master protocols. In our initial evaluation focusing only on abdo-men and pelvis protocols, we detected 309 modified protocols in a 24-week trial period. About one-quarter of these modified protocols were determined to contain inappropriate (i.e., erroneous) protocol parameter modifications that needed to be corrected on the scanner. The most frequently affected parameter was the series description, which was inappropriately modified 47 times. Two inappropriate modifications were made to the tube current, which is particularly important to flag as this parameter impacts both radiation dose and image quality. The CT protocol changes detected in this work provide strong motivation for the use of an automated CT protocol quality control system to ensure protocol accuracy and consistency.
Mayo Clinic. grimes.josh@gmail.com.
Joshua
J
Grimes
Shuai
S
Leng
Yi
Y
Zhang
Thomas
T
Vrieze
Cynthia
C
McCollough
D000005:Abdomen / Q000000981:diagnostic imaging*; D000465:Algorithms; D001331:Automation; D002138:Calibration; D002985:Clinical Protocols / Q000592:standards*; D017408:Guidelines as Topic; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D010388:Pelvis / Q000000981:diagnostic imaging*; D010865:Pilot Projects; D011786:Quality Control; D011829:Radiation Dosage; D012107:Research Design; D012984:Software; D014057:Tomography, X-Ray Computed / Q000295:instrumentation* / Q000592:standards*
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