Correlation of the quantitative methods for the measurement of bone uptake and plasma clearance of 18F-NaF using positron emission tomography. Systematic review and meta-analysis. Issue 146 (January 2022)

• Record Type: Journal Article
• Authors: Assiri, Rajeh; Knapp, Karen; Fulford, Jon; Chen, Junning
• Is Part Of: European journal of radiology. Issue 146(2022)
• Publication Date: 2022-01
• Subjects: PET -- Bone imaging -- NaF -- SUV -- Patlak; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2021.110081
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Standardised uptake value has the lowest precision error followed by Patlak while Hawkins method showed the highest precision error. Patlak is the best within research and SUV is better within clinical practice. Patlak requires fewer participant numbers than that required by Hawkins and SUV to verify significant statistical treatment response. Abstract: Purpose: 18 F-NaF PET is valuable for detecting bone metabolism through osteoblastic activity in the assessment of bone disease. Hawkins, Patlak, and standardised uptake value (SUV) are the most common quantitative measurements used to evaluate bone metabolism. This systematic review evaluates the correlation between quantitative positron emission tomography (PET) methods and to compare their precision. Methods: A systematic search in Medline, PubMed, SCOPUS, and Web of Science was undertaken to find relevant papers published from 2000. All studies with human adults undergoing 18 F-NaF PET, PET/CT, or PET/MRI were included except for subjects diagnosed with non-diffuse metabolic bone disease or malignancy. Quality Assessment Tool for Studies of Diverse Designs (QATSDD) was used to assess risk of bias. A qualitative review and meta-analysis using Hedges random-effect model was used producing summary size effects of the correlation between methods in healthy and unhealthy bone sites and assessing study heterogeneity. Results: 228 healthy and unhealthy participants were included across 12 studies resulted from the systematic search. One-third of studies had a moderate quality percentage while the rest had relatively high quality. The pooled correlation coefficient in meta-analysis showed a high correlation of more than 0.88 (0.71–1.05. 95 %CI) between SUV and Hawkins and more than 0.96 (0.88–1.03. 95 %CI) between Patlak and Hawkins within all subgroups, suggesting all methods yield similar results in healthy and unhealthy bone sites. SUV has the lowest precision error followed by Patlak while Hawkins method showed the highest precision error. Conclusion: Patlak is the best within research and SUV is better within clinical practice.