Department of Radiology, NYU Langone Medical Center, NYU School of Medicine, 560 First Ave, TCH-HW202, New York, NY 10016, USA.
AJR Am J Roentgenol. 2013 Feb;200(2):311-3. doi: 10.2214/AJR.12.9926.
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.
大量先前的研究表明表观扩散系数值在宫颈癌评估中的实用性,特别是在与良性宫颈区分方面。本文将讨论基于直方图的分析方法,用于检测宫颈癌的不良组织学特征。
唐尼等人在本期杂志中进行的研究探讨了基于直方图的分析方法,用于检测宫颈癌的不良组织学特征,包括亚型和分级。这种方法提供了对肿瘤纹理和异质性的更全面评估。鉴于这项研究结果表明的潜在效用,还需要进行更多更大的研究。