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

Abstract

Objective: 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.

Conclusion: 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.