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


CONCLUSIONS
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.
Department of Radiology, NYU Langone Medical Center, NYU School of Medicine, 560 First Ave, TCH-HW202, New York, NY 10016, USA. andrew.rosenkrantz@nyumc.org
Andrew B
AB
Rosenkrantz
D000230:Adenocarcinoma / Q000473:pathology*; D002294:Carcinoma, Squamous Cell / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D002583:Uterine Cervical Neoplasms / Q000473:pathology*