Utility of DWI with quantitative ADC values in ovarian tumors: a meta-analysis of diagnostic test performance

Acta Radiol. 2018 Nov;59(11):1386-1394. doi: 10.1177/0284185118759708. Epub 2018 Feb 20.

Abstract

Background Diffusion-weighted imaging (DWI) and quantitative apparent diffusion coefficient (ADC) values are widely used in the differential diagnosis of ovarian tumors. Purpose To assess the diagnostic performance of quantitative ADC values in ovarian tumors. Material and Methods PubMed, Embase, the Cochrane Library, and local databases were searched for studies assessing ovarian tumors using quantitative ADC values. We quantitatively analyzed the diagnostic performances for two clinical problems: benign vs. malignant tumors and borderline vs. malignant tumors. We evaluated diagnostic performances by the pooled sensitivity and specificity values and by summary receiver operating characteristic (SROC) curves. Subgroup analyses were used to analyze study heterogeneity. Results From the 742 studies identified in the search results, 16 studies met our inclusion criteria. A total of ten studies evaluated malignant vs. benign ovarian tumors and six studies assessed malignant vs. borderline ovarian tumors. Regarding the diagnostic accuracy of quantitative ADC values for distinguishing between malignant and benign ovarian tumors, the pooled sensitivity and specificity values were 0.91 and 0.91, respectively. The area under the SROC curve (AUC) was 0.96. For differentiating borderline from malignant tumors, the pooled sensitivity and specificity values were 0.89 and 0.79, and the AUC was 0.91. The methodological quality of the included studies was moderate. Conclusion Quantitative ADC values could serve as useful preoperative markers for predicting the nature of ovarian tumors. Nevertheless, prospective trials focused on standardized imaging parameters are needed to evaluate the clinical value of quantitative ADC values in ovarian tumors.

Keywords: Diffusion-weighted imaging; apparent diffusion coefficient; diagnosis; meta-analysis; ovarian tumors.

Publication types

  • Meta-Analysis

MeSH terms

  • Diffusion Magnetic Resonance Imaging / methods*
  • Female
  • Humans
  • Ovarian Neoplasms / diagnostic imaging*
  • Ovary / diagnostic imaging
  • Reproducibility of Results
  • Sensitivity and Specificity