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头颈部鳞状细胞癌 MRI 治疗后随访:提出的 MRI NI-RADS 标准。

MRI Posttreatment Surveillance for Head and Neck Squamous Cell Carcinoma: Proposed MR NI-RADS Criteria.

机构信息

From the Department of Diagnostic Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt

From the Department of Diagnostic Radiology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.

出版信息

AJNR Am J Neuroradiol. 2021 Jun;42(6):1123-1129. doi: 10.3174/ajnr.A7058. Epub 2021 Mar 11.

DOI:10.3174/ajnr.A7058
PMID:33707288
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8191657/
Abstract

BACKGROUND AND PURPOSE

The current Neck Imaging Reporting and Data System (NI-RADS) criteria were designed for contrast-enhanced CT with or without PET. Prior studies have revealed the capability of DWI and T2 signal intensity in distinguishing locoregional tumor residual and recurrence from posttreatment benign findings in head and neck cancers. We aimed to propose MR imaging NI-RADS criteria by adding diffusion criteria and T2 signal intensity to the American College of Radiology NI-RADS template.

MATERIALS AND METHODS

This retrospective study included 69 patients with head and neck squamous cell carcinoma (HNSCC) who underwent posttreatment contrast-enhanced MRI imaging surveillance using a 1.5T scanner. The scans were interpreted by 2 neuroradiologists. Image analysis assessed the primary tumor site using the current American College of Radiology NI-RADS morphologic lexicon (mainly designed for contrast-enhanced CT with or without PET). NI-RADS rescoring was then performed based on our proposed criteria using T2 signal and diffusion features. The reference standard was a defined set of criteria, including clinical and imaging follow-up and pathologic assessment.

RESULTS

Imaging assessment of treated HNSCC at the primary tumor site using T2 signal intensity and diffusion features as modifying rules to NI-RADS showed higher sensitivity, specificity, positive predictive value, negative predictive value, and accuracy (92.3%, 90.7%, 85.7%, 95.1%, and 91.3%, respectively) compared with the current NI-RADS lexicon alone (84.6%, 81.4%, 73.3%, 89.8%, and 82.6%, respectively).

CONCLUSIONS

The addition of diffusion features and T2 signal to the American College of Radiology NI-RADS criteria for the primary tumor site enhances the specificity, sensitivity, positive predictive value, negative predictive value, and NI-RADS accuracy.

摘要

背景与目的

当前的颈部成像报告和数据系统(NI-RADS)标准是专为对比增强 CT 加或不加 PET 设计的。先前的研究已经揭示了弥散加权成像(DWI)和 T2 信号强度在区分头颈部癌症局部肿瘤残留和复发与治疗后良性发现方面的能力。我们旨在通过将弥散标准和 T2 信号强度添加到美国放射学院(ACR)的 NI-RADS 模板中,提出 MRI 成像的 NI-RADS 标准。

材料与方法

本回顾性研究纳入了 69 例接受头颈部鳞状细胞癌(HNSCC)治疗后对比增强 MRI 影像学监测的患者,这些患者使用 1.5T 扫描仪进行检查。由 2 名神经放射科医生对扫描结果进行解读。图像分析使用当前的美国放射学院(ACR)NI-RADS 形态学词汇表(主要用于对比增强 CT 加或不加 PET)评估原发性肿瘤部位。然后,根据我们提出的标准,使用 T2 信号和弥散特征对 NI-RADS 进行重新评分。参考标准是一套定义明确的标准,包括临床和影像学随访以及病理评估。

结果

使用 T2 信号强度和弥散特征作为修改规则对 NI-RADS 进行的治疗后 HNSCC 原发性肿瘤部位的影像学评估显示,与单独使用当前的 NI-RADS 词汇表相比,具有更高的敏感性、特异性、阳性预测值、阴性预测值和准确性(分别为 92.3%、90.7%、85.7%、95.1%和 91.3%)。

结论

将弥散特征和 T2 信号添加到原发性肿瘤部位的 ACR NI-RADS 标准中,可以提高特异性、敏感性、阳性预测值、阴性预测值和 NI-RADS 准确性。