Maximum standard uptake value at the biopsy site during (18)F-fluorodeoxyglucose positron emission tomography does not predict the proliferation potential of tumor cells in extranodal natural killer/t cell lymphoma, nasal type

Correlations Between Imaging Biomarkers and Proliferation Index Ki-67 in Lymphomas: A Systematic Review and Meta-Analysis

BACKGROUND

Few studies investigated relationships between positron emission tomography (PET) as well as diffusion-weighted imaging (DWI) with proliferating index Ki-67 in lymphomas. The aim of the present analysis was to review the published results and perform a meta-analysis to provide data on the associations between standardized uptake values (SUV) derived from PET as well as apparent diffusion coefficient (ADC) derived from DWI with Ki-67 index in lymphomas.

MATERIALS AND METHODS

The MEDLINE library was screened for relationships between PET and DWI with Ki-67 in lymphoma up to October 2018. Overall, 22 studies with 788 patients were identified. The following data were extracted from the literature: authors, year of publication, number of patients, and correlation coefficients. Associations between SUV and Ki-67 were analyzed using Spearman correlation coefficient.

RESULTS

Fifteen studies comprising 574 patients were suitable for the analysis between maximum SUV (SUV_max) derived from fluorodeoxyglucose (FDG) PET and Ki-67. The pooled correlation coefficient was r = 0.49 (95% confidence interval [CI], 0.36-0.61). Four studies were included in the analysis between SUV_max derived from fluorothymidine (FLT) PET and Ki-67 index involving 84 patients. The pooled correlation coefficient was r = 0.46 (95% CI, 0.19-0.73). Four studies comprising 130 patients were suitable for the analysis between ADC values derived from DWI and Ki-67. The pooled correlation coefficient was r = -0.25 (95% CI, -0.53 to 0.04).

CONCLUSION

SUV_max derived from FDG and FLT PET correlated moderately and approximately equally with Ki-67 index. On the contrary, ADC values only correlated weakly inversely and might not reliably predict Ki-67 index in lymphomas.

Correlation between the Uptake of 18F-Fluorodeoxyglucose (18F-FDG) and the Expression of Proliferation-Associated Antigen Ki-67 in Cancer Patients: A Meta-Analysis

Objective

To study the correlation between ¹⁸F-FDG uptake and cell proliferation in cancer patients by meta-analysis of published articles.

Methods

We searched PubMed (MEDLINE included), EMBASE, and Cochrane Database of Systematic Review, and selected research articles on the relationship between ¹⁸F-FDG uptake and Ki-67 expression (published between August 1, 1994-August 1, 2014), according to the literature inclusion and exclusion criteria. The publishing language was limited to English. The quality of included articles was evaluated according to the Quality Assessment of Diagnosis Accuracy Studies-2 (QUADAS-2). The correlation coefficient (r) was extracted from the included articles and processed by Fisher's r-to-z transformation. The combined correlation coefficient (r) and the 95% confidence interval (CI) were calculated with STATA 11.0 software under a random-effects model. Begg's test was used to analyze the existence of publication bias and draw funnel plot, and the sources of heterogeneity were explored by sensitivity and subgroup analyses.

Results

According to the inclusion and exclusion criteria, 79 articles were finally included, including 81 studies involving a total of 3242 patients. All the studies had a combined r of 0.44 (95% CI, 0.41-0.46), but with a significant heterogeneity (I² = 80.9%, P<0.01). Subgroup analysis for different tumor types indicated that most subgroups showed a reduced heterogeneity. Malignant melanoma (n = 1) had the minimum correlation coefficient (-0.22) between ¹⁸F-FDG uptake and Ki-67 expression, while the thymic epithelial tumors (TETs; n = 2) showed the maximum correlation coefficient of 0.81. The analytical results confirmed that correlation between ¹⁸F-FDG uptake and Ki-67 expression was extremely significant in TETs, significant in gastrointestinal stromal tumors (GISTs), moderate in patients with lung, breast, bone and soft tissue, pancreatic, oral, thoracic, and uterine and ovarian cancers, average in brain, esophageal and colorectal cancers, and poor in head and neck, thyroid, gastric and malignant melanoma tumors. Subgroup analysis indicated that positron emission tomography (PET) or PET/CT imaging technology or Ki-67 and standardized uptake value (SUV) measurement technology did not significantly affect the results of r values, and Begg's test showed no significant publication bias.

Conclusion

In cancer patients, ¹⁸F-FDG uptake showed a moderate positive correlation with tumor cell proliferation. Different tumor types exhibited varied degree of correlation, and the correlation was significant in TETs and GSTs. However, our results need further validation by clinical trials with a large sample of different tumor types.