Schroeder Jennifer A, Oldan Jorge D, Jewells Valerie L, Bunch Paul M
Department of Radiology, University of North Carolina School of Medicine, UNC Health, 101 Manning Drive, Chapel Hill, NC 27514, USA.
Department of Radiology, Wake Forest University School of Medicine, Atrium Health Wake Forest Baptist, Medical Center Drive, Winston Salem, NC 27157, USA.
Cancers (Basel). 2024 Aug 21;16(16):2900. doi: 10.3390/cancers16162900.
There is growing interest in the development and application of standardized imaging criteria (SIC), to minimize variability and improve the reproducibility of image interpretation in head and neck squamous cell carcinoma (HNSCC).
"Squamous cell carcinoma" AND "standardized interpretation criteria" OR "radiographic response assessment" were searched using PubMed and Google Scholar for articles published between 2009 and 2024, returning 56 publications. After abstract review, 18 were selected for further evaluation, and 6 different SICs (i.e., PERCIST, Porceddu, Hopkins, NI-RADS, modified Deauville, and Cuneo) were included in this review. Each SIC is evaluated in the context of 8 desired traits of a standardized reporting system.
Two SICs have societal endorsements (i.e., PERCIST, NI-RADS); four can be used in the evaluation of locoregional and systemic disease (i.e., PERCIST, Hopkins, NI-RADS, Cuneo), and four have specific categories for equivocal imaging results (i.e., Porceddu, NI-RADS, modified Deauville, and Cuneo). All demonstrated areas for future improvement in the context of the 8 desired traits.
Multiple SICs have been developed for and demonstrated value in HNSCC post-treatment imaging; however, these systems remain underutilized. Selecting an SIC with features that best match the needs of one's practice is expected to maximize the likelihood of successful implementation.
人们对标准化成像标准(SIC)的开发和应用越来越感兴趣,以尽量减少变异性并提高头颈部鳞状细胞癌(HNSCC)图像解读的可重复性。
使用PubMed和谷歌学术搜索“鳞状细胞癌”和“标准化解读标准”或“影像学反应评估”,检索2009年至2024年发表的文章,共检索到56篇出版物。经过摘要审查,选择了18篇进行进一步评估,本综述纳入了6种不同的SIC(即PERCIST、Porceddu、霍普金斯、NI-RADS、改良的多维尔和库尼奥)。每种SIC都在标准化报告系统的8个期望特征的背景下进行评估。
两种SIC获得了社会认可(即PERCIST、NI-RADS);四种可用于评估局部区域和全身疾病(即PERCIST、霍普金斯、NI-RADS、库尼奥),四种对模糊的影像学结果有特定分类(即Porceddu、NI-RADS、改良的多维尔和库尼奥)。在这8个期望特征的背景下,所有SIC都显示出未来需要改进的方面。
已经开发了多种SIC,并在HNSCC治疗后成像中显示出价值;然而,这些系统的利用率仍然较低。选择具有最符合自身实践需求特征的SIC有望最大限度地提高成功实施的可能性。