Indeterminate Data and Handling for Assessing Diagnostic Performance in Imaging Drug Developments

Sue-Jane Wang
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Abstract

In diagnostic imaging drug developments, the imaging scan read data in controlled imaging drug clinical trials includes test positive and test negative. Broadly speaking, the standard of reference data are either presence or absence of a disease or clinical condition. Together, these data are used to assess the diagnostic performance of an investigational imaging drug in a controlled imaging drug clinical trial. For those imaging scan read data that cannot be called positive/negative, the “indeterminate” category is commonly used to cover imaging results that may be considered intermediate, indeterminate, or uninterpretable. Similarly, for those standard of reference data that cannot be categorized into presence/absence including uncollected or unavailable reference standard data, the “indeterminate” category may be used. Historically, little attention has been paid to the indeterminate imaging scan read data as they are generally rare or considered irrelevant though they are related to scanned subjects and can be informative. Subjects lack the standard of reference are simply excluded as such the study only reports the analysis results in subjects with available standard of reference data, known as completer analysis, similar to evaluable subjects seen in controlled trials for drug developments. To improve diagnostic clinical trial planning, this paper introduces five attributes of an estimand in diagnostic imaging drug clinical trials. The paper then defines the indeterminate data mechanisms and gives examples for each indeterminate mechanism that is specific to the clinical context of a diagnostic imaging drug clinical trial. Several imputation approaches to handling indeterminate data are discussed. Depending on the clinical question of primary interests, indeterminate data may be intercurrent events. The paper ends with discussions on imputations of intercurrent events occurring in indeterminate imaging scan read data and those occurring in indeterminate standard of reference data when encountered in diagnostic imaging clinical trials and provides points to consider of estimands for diagnostic imaging drug developments.
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成像药物开发中评估诊断性能的不确定数据和处理
在诊断成像药物开发中,对照成像药物临床试验中的成像扫描读取数据包括检测阳性和检测阴性。一般来说,参考数据的标准是存在或不存在某种疾病或临床状况。总之,这些数据被用来评估在对照成像药物临床试验中的研究成像药物的诊断性能。对于那些不能被称为阳性/阴性的成像扫描读取数据,“不确定”类别通常用于涵盖可能被认为是中间、不确定或不可解释的成像结果。同样,对于那些不能分类为存在/不存在的参考标准数据,包括未收集或不可用的参考标准数据,可以使用“不确定”类别。从历史上看,不确定的成像扫描读取数据很少受到关注,因为它们通常是罕见的或被认为是无关的,尽管它们与被扫描对象相关并且可以提供信息。缺乏参考标准的受试者被简单地排除在外,因此该研究仅报告具有可用参考标准数据的受试者的分析结果,称为完整分析,类似于药物开发对照试验中看到的可评估受试者。为了完善诊断性临床试验计划,本文介绍了诊断性影像学药物临床试验中估计量的5个属性。然后,本文定义了不确定的数据机制,并给出了特定于诊断成像药物临床试验临床背景的每个不确定机制的示例。讨论了处理不确定数据的几种归算方法。根据主要利益的临床问题,不确定的数据可能是并发事件。本文最后讨论了在诊断成像临床试验中遇到的不确定的成像扫描读取数据和不确定的参考数据标准中发生的交互事件的归算,并提供了诊断成像药物开发估计的考虑要点。
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