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Meta-Analysis of the Correlation between Apparent Diffusion Coefficient and Standardized Uptake Value in Malignant
Shengming Deng1, Zhifang Wu2,3, Yiwei Wu1
1Department of Nuclear Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Contrast Media & Molecular Imaging
|November 4, 2017
Summary
This meta-analysis reveals a negative correlation between apparent diffusion coefficient (ADC) and standard uptake value (SUV) in cancer patients. Stronger correlations were observed in brain, cervix, and pancreatic cancers, suggesting potential for combined imaging biomarkers.
Area of Science:
- Oncology
- Radiology
- Medical Imaging
Background:
- Diffusion-weighted MRI's apparent diffusion coefficient (ADC) and 18F-FDG PET/CT's standard uptake value (SUV) are key imaging biomarkers in oncology.
- Understanding the relationship between ADC and SUV can offer insights into tumor biology and treatment response.
Purpose of the Study:
- To perform a meta-analysis investigating the correlation between ADC and SUV in cancer patients.
- To explore potential variations in this correlation across different cancer types.
Main Methods:
- Systematic literature search of PubMed, EMBASE, and Cochrane databases for studies correlating ADC and SUV.
- Inclusion of 49 studies with 1927 patients; application of Fisher's r-to-z transformation for correlation coefficients.
- Subgroup analyses based on tumor type to assess heterogeneity.
Main Results:
- A pooled negative correlation (r = -0.35) was found between ADC and SUV across all included studies, with significant heterogeneity (I2 = 78.4%).
- Correlation coefficients varied by cancer type, ranging from -0.12 for lymphoma to -0.59 for pancreatic cancer.
- Brain tumors, cervix carcinoma, and pancreatic cancer showed higher negative correlations.
Conclusions:
- An average negative correlation exists between ADC and SUV in cancer patients.
- The correlation strength varies significantly depending on the specific cancer type.
- Further prospective studies are recommended to validate these findings and explore their clinical utility.

