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AIM “Image Standard, Data Quality Management, Expert Training”

2017 October 13

Dr. Kim, Kyung Won, a professor of Asan Medical Center, Importance of Eligibility and Reliability “Image Standard, Data Quality Management, Expert Training”

Increasing the use of image data in clinical trials, diagnostic radiology has been rapidly developed. Image data in clinical trial is valuable for screening, diagnosis, staging decision, prognosis biomarker, and therapeutic responsiveness. Recently, clinical trial radiology has been highly issued because the result of image analysis becomes as a primary endpoint in the trials.

Clinical trial radiology is referred to the use of image data, including imaging protocol development, acquisition, analysis, image standardization and guideline, in order to analyze safety and efficacy during the development of new drug.

Dr. Kim, Kyung Won said “In clinical trials, imaging is often used to mainly confirm the efficacy of anticancer drugs using tumor size measurement by MRI and CT, so that imaging is used not only for oncology but also for a variety of disease in clinical trial.”

He also emphasized that “Imaging has become an essential point to analyze pharmacodynamics and pharmacokinetics, and understand pharmaceutical mechanism, including drug efficacy, toxicity, and monitoring for the drug efficacy.

Asan Image Metrics (AIM) is the only imaging center in Korea to manage professionally clinical images. AIM provides central core lab and site core lab service for image utilization in clinical trials.

Site core lab service includes image protocol review, image modalities and radiologists selection, image acquisition and quality management, and image anonymization and transfer. For the multi-institutional clinical trial, the role of AIM is to provide central core lab services, are multi-institutional clinical trial image management and independent image review. As a result, AIM supports to develop image protocol based on international standard, train sites with monitoring, and review images independently, including image acquisition by standard protocol, image quality and data management, and image analysis.

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