ArticleEuropean journal of nuclear medicine and molecular imaging2007
Quantification of FDG PET studies using standardised uptake values in multi-centre trials: effects of image reconstruction, resolution and ROI definition parameters.
Article in European journal of nuclear medicine and molecular imaging, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 4 of them syntheses that pooled it.
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Who cites it
103 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Effect of blood glucose level on standardized uptake value (SUV) inEuropean journal of nuclear medicine and molecular imaging · 2019Pooled it
- Prognostic value of 18F-FDG-PET/CT parameters in patients with pancreatic carcinoma: A systematic review and meta-analysis.Medicine · 2017Pooled it
- FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0.European journal of nuclear medicine and molecular imaging · 2015Guideline
- Proposal for the standardisation of multi-centre trials in nuclear medicine imaging: prerequisites for a European 123I-FP-CIT SPECT database.European journal of nuclear medicine and molecular imaging · 2012Guideline
- Consistency of metabolic tumor volume of non-small-cell lung cancer primary tumor measured using 18F-FDG PET/CT at two different tracer uptake times.Nuclear medicine communications · 2016Trial
- Harmonizing SUVs in multicentre trials when using different generation PET systems: prospective validation in non-small cell lung cancer patients.European journal of nuclear medicine and molecular imaging · 2013Trial
- Comparative analysis ofEuropean journal of nuclear medicine and molecular imaging · 2026Article
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- Mediastinal staging lymph node probability map in non-small cell lung cancer.Respiratory research · 2025Article
- Focal incidental colorectal fluorodeoxyglucose uptake: Should it be spotlighted?World journal of clinical cases · 2024Article
- Unexpected focal fluorodeoxyglucose uptake in main organs; pass through or pass by?World journal of clinical cases · 2024Review
- Mitigating SUV uncertainties using total body PET imaging.European journal of nuclear medicine and molecular imaging · 2024Article
- Investigation of the effectiveness of no-reference metric in image evaluation in nuclear medicine.PloS one · 2024Article
- Predictive value ofJournal of cancer research and clinical oncology · 2023Article
- The added value ofAbdominal radiology (New York) · 2023Article
- Dynomics: A Novel and Promising Approach for Improved Breast Cancer Prognosis Prediction.Journal of personalized medicine · 2023Article
- Hot spot imaging in cardiovascular diseases: an information statement from SNMMI, ASNC, and EANM.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023Article
- Estimating normal metabolic activity for disease quantification via PET/CT images.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Understanding the importance of quality control and quality assurance in preclinical PET/CT imaging.EJNMMI physics · 2022Article
- Retention index of FDG-PET/CT SUVmax of the primary tumor in non-small cell lung cancer as a predictor of lymph node metastasis: a retrospective study.European journal of hybrid imaging · 2022Article
43 more citing papers are in PubMed but not listed here.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeStandardised uptake values (SUVs) depend on acquisition, reconstruction and region of interest (ROI) parameters. SUV quantification in multi-centre trials therefore requires standardisation of acquisition and analysis protocols. However, standardisation is difficult owing to the use of different scanners, image reconstruction and data analysis software. In this study we evaluated whether SUVs, obtained at three different institutes, may be directly compared after calibration and correction for inter-institute differences.
methodsFirst, an anthropomorphic thorax phantom containing variously sized spheres and activities, simulating tumours, was scanned and processed in each institute to evaluate differences in scanner calibration. Secondly, effects of image reconstruction and ROI method on recovery coefficients were studied. Next, SUVs were derived for tumours in 23 subjects. Of these 23 patients, four and ten were scanned in two institutes on an HR+ PET scanner and nine were scanned in one institute on an ECAT EXACT PET scanner. All phantom and clinical data were reconstructed using iterative reconstruction with various iterations, with both measured (MAC) and segmented attenuation correction (SAC) and at various image resolutions. Activity concentrations (AC) or SUVs were derived using various ROI isocontours.
resultsPhantom data revealed differences in SUV quantification of up to 30%. After application-specific calibration, recovery coefficients obtained in each institute were equal to within 15%. Varying the ROI isocontour value resulted in a predictable change in SUV (or AC) for both phantom and clinical data. Variation of image resolution resulted in a predictable change in SUV quantification for large spheres/tumours (>5 cc) only. For smaller tumours (<2 cc), differences of up to 40% were found between high (7 mm) and low (10 mm) resolution images. Similar differences occurred when data were reconstructed with a small number of iterations. Finally, no significant differences between MAC and SAC reconstructed data were observed, except for tumours near the diaphragm.
conclusionStandardisation of acquisition, reconstruction and ROI methods is preferred for SUV quantification in multi-centre trials. Small unavoidable differences in methodology can be accommodated by performing a phantom study to assess inter-institute correction factors.
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