Statistical Issues in Testing Conformance with the Quantitative Imaging Biomarker Alliance (QIBA) Profile Claims

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• 作者：Nancy A. Obuchowski ; PhD^a ; ^{obuchon@ccf.org" class="auth_mail" title="E-mail the corresponding author} ; Andrew Buckler ; MS^b ; Paul Kinahan ; PhD^c ; Heather Chen-Mayer ; PhD^d ; Nicholas Petrick ; PhD^e ; Daniel P. Barboriak ; MD^f ; Jennifer Bullen ; MS^a ; Huiman Barnhart ; PhD^f ; Daniel C. Sullivan ; MD^f
• 关键词：QIBA ; quantitative imaging biomarker ; precision ; repeatability ; bias ; total deviation index ; linearity
• 刊名：Academic Radiology
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：23
• 期：4
• 页码：496-506
• 全文大小：917 K

文摘

A major initiative of the Quantitative Imaging Biomarker Alliance is to develop standards-based documents called “Profiles,” which describe one or more technical performance claims for a given imaging modality. The term “actor” denotes any entity (device, software, or person) whose performance must meet certain specifications for the claim to be met. The objective of this paper is to present the statistical issues in testing actors' conformance with the specifications. In particular, we present the general rationale and interpretation of the claims, the minimum requirements for testing whether an actor achieves the performance requirements, the study designs used for testing conformity, and the statistical analysis plan. We use three examples to illustrate the process: apparent diffusion coefficient in solid tumors measured by MRI, change in Perc 15 as a biomarker for the progression of emphysema, and percent change in solid tumor volume by computed tomography as a biomarker for lung cancer progression.