DOI: 10.1186/s40658-017-0190-7Pages: 1-15

Guidelines for quality control of PET/CT scans in a multicenter clinical study

1. Radboud University Medical Centre, Department of Nuclear Medicine

2. University of Groningen, University Medical Center Groningen

3. The Institute of Cancer Research

4. European Organization for Research and Treatment of Cancer, Imaging Group

5. GSK, Experimental Medicine Imaging

6. Division of Cancer Treatment and Diagnosis National Cancer Institute

7. European Organization for Research and Treatment of Cancer, Headquarters

8. University of Antwerp, Molecular Imaging Center Antwerp (MICA), Faculty of Medicine and Health Sciences

9. VU University Medical Centre, Department of Radiology & Nuclear Medicine

Correspondence to:
Ivalina Hristova
Tel: +4915145179752
Email: ivalinahr@gmail.com

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Abstract

To date, there is no published detailed checklist with parameters referencing the DICOM tag information with respect to the quality control (QC) of PET/CT scans. The aims of these guidelines are to provide the know-how for effectively controlling the quality of PET/CT scans in multicenter studies, to standardize the QC, to give sponsors and regulatory agencies a basis for justification of the data quality when using standardized uptake values as an imaging biomarker, to document the compliance with the imaging guidelines, to verify the per protocol population versus intent to treat population, and to safeguard the validity of multicenter study conclusions employing standardized uptake value (SUV) as an imaging biomarker which is paramount to the scientific community. Following the proposed guidelines will ensure standardized prospective imaging QC of scans applicable to most studies where SUVs are used as an imaging biomarker. The multitude of factors affecting SUV measurements when not controlled inflicts noise on the data. Decisions on patient management with substantial noise would be devastating to patients, ultimately undermine treatment outcome, and invalidate the utility of SUV as an imaging biomarker usefulness. Strict control of the data quality used for the validation of SUV as an imaging biomarker would ensure trust and reliability of the data.

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  • Accepted: Sep 6, 2017
  • Online: Sep 18, 2017

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