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Meeting ReportOncology - Basic: Therapy, Metrics and Intervention

Quality control management of clinical PET/CT cancer trials

Jun Zhang, Nathan Hall, Craig O'Dell, Trevor Teetor, Steffen Sammet, Richard Jacko, Rick Layman and Michael Knopp
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 1627;
Jun Zhang
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Nathan Hall
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Craig O'Dell
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Trevor Teetor
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Steffen Sammet
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Richard Jacko
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Rick Layman
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Michael Knopp
1The Ohio State University, Wright Center of Innovation in Biomedical Imaging, Columbus, OH
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Abstract

1627

Objectives Using investigator initiated and multi-institutional PET/CT oncology trials, we performed an analysis of all components from protocol preparation to endpoint assessment identifying critical challenges and areas of non-compliance

Methods A quality control (QC) process was implemented in a standardized operating procedure (SOP) driven environment adhering to good practice guidelines. The process components include: trial protocol development, equipment validation, investigator and staff training, patient recruitment, acquisition compliance, data transfer, data management, data analysis, and reader performance. A semi-automatic software environment was developed to facilitate mega data processing and to generate automatic QC reports. All steps of the clinical trial process are regularly audited and documented with verification to protocol guidelines

Results A total of 309 patients with 831 examinations from over 50 sites are included in this assessment. The most common protocol violation has been non-compliance with the time between injection and initiation of emission scanning (~33%). The 2nd most common area of non-compliances are inconsistencies between the baseline and follow-up studies such as: emissions timing (~22%), arm positioning (<5%), and scan direction (<5%). Other non-compliances are: blood glucose level (<5%), prior medication (<5%) as well as data format (<5%) and completeness (<5%)

Conclusions Understanding the real world challenges in clinical imaging trials enables the development of more robust protocols by identifying the areas impacting compliance. Appropriate training and qualification of the team performing clinical trials, leads to the highest levels of compliance

  • © 2009 by Society of Nuclear Medicine
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Journal of Nuclear Medicine
Vol. 50, Issue supplement 2
May 2009
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Quality control management of clinical PET/CT cancer trials
Jun Zhang, Nathan Hall, Craig O'Dell, Trevor Teetor, Steffen Sammet, Richard Jacko, Rick Layman, Michael Knopp
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 1627;

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Quality control management of clinical PET/CT cancer trials
Jun Zhang, Nathan Hall, Craig O'Dell, Trevor Teetor, Steffen Sammet, Richard Jacko, Rick Layman, Michael Knopp
Journal of Nuclear Medicine May 2009, 50 (supplement 2) 1627;
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