Histogram-based apparent diffusion coefficient analysis: an emerging tool for cervical cancer characterization?

Abstract

Numerous prior studies have shown the utility of apparent diffusion coefficient values in cervical cancer assessment, particularly in differentiation from benign cervix. This article will discuss histogram-based analysis for detection of adverse histologic features of cervical cancer. The study by Downey et al. in this issue investigates histogram-based analysis for detection of adverse histologic features of cervical cancer, including subtype and grade. This approach offers a more complete assessment of tumor texture and heterogeneity. Given the potential utility suggested by the results of this study, additional larger studies are warranted.