Unified Database for Rejected Image Analysis Across Multiple Vendors in Radiography

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• 作者：Kevin J. Little ; PhD^a ; ^{little@uchicago.edu} ; Ingrid Reiser ; PhD^a ; Lili Liu ; MS^a ; Tiffany Kinsey ; BS^a ; Adrian A. Sá ; nchez ; PhD^a ; Kateland Haas ; MA^a ; Florence Mallory ; BS^a ; Carmen Froman ; MBA^a ; Zheng Feng Lu ; PhD^a
• 关键词：Reject rate ; repeat rate ; radiography ; dose reduction ; database
• 刊名：Journal of the American College of Radiology
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：14
• 期：2
• 页码：208-216
• 全文大小：781 K
• 卷排序：14

文摘

Reject rate analysis has been part of radiography departments’ quality control since the days of screen-film radiography. In the era of digital radiography, one might expect that reject rate analysis is easily facilitated because of readily available information produced by the modality during the examination procedure. Unfortunately, this is not always the case. The lack of an industry standard and the wide variety of system log entries and formats have made it difficult to implement a robust multivendor reject analysis program, and logs do not always include all relevant information. The increased use of digital detectors exacerbates this problem because of higher reject rates associated with digital radiography compared with computed radiography. In this article, the authors report on the development of a unified database for vendor-neutral reject analysis across multiple sites within an academic institution and share their experience from a team-based approach to reduce reject rates.