Asset Type: White Papers, Imaging, Imaging Core Lab, Oncology

Higher Data Reliability of Blinded Independent Central Review Compared to Local Evaluation

This white paper addresses the variability between local evaluations (LE) and Blinded Independent Central Review (BICR) in imaging-based clinical trials. Drawing on data from more than 1,000 patients across seven Phase II and III oncology studies, it demonstrates how BICR reduces assessment errors, minimizes bias, and delivers more reliable, standardized imaging data for eligibility determination and disease progression assessment.

Why download this white paper?

Understand the impact of assessment discrepancies
Learn how differences between local and central reviews can affect patient eligibility, progression assessments, and overall study outcomes.
Reduce risk in imaging-driven trials
Discover how BICR helps minimize bias, improve consistency, and strengthen the integrity of trial data used for critical development decisions.
Gain insights into the drivers of data variability
Review the 10 key factors that contribute to discrepancies between local and centralized image assessments.
Support regulatory-ready study execution
Learn why centralized, blinded image review has become a trusted approach for trials with imaging endpoints and radiological eligibility requirements

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Higher Data Reliability of Blinded Independent Central Review Compared to Local Evaluation