Andrew B Rosenkrantz1. 1. 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
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.
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.
Authors: Georg Alexander Gihr; Diana Horvath-Rizea; Nikita Garnov; Patricia Kohlhof-Meinecke; Oliver Ganslandt; Hans Henkes; Hans Jonas Meyer; Karl-Titus Hoffmann; Alexey Surov; Stefan Schob Journal: Mol Imaging Biol Date: 2018-08 Impact factor: 3.488
Authors: Jin You Kim; Jin Joo Kim; Ji Won Lee; Nam Kyung Lee; Geewon Lee; Taewoo Kang; Heesung Park; Yo Han Son; Robert Grimm Journal: Eur Radiol Date: 2018-08-02 Impact factor: 5.315