通用神经放射学家应用颈部成像报告和数据系统预测头颈部癌症复发的性能。
Performance of the Neck Imaging Reporting and Data System as applied by general neuroradiologists to predict recurrence of head and neck cancers.
机构信息
Imaging Institute, Cleveland Clinic, Cleveland, Ohio, USA.
Quantitative Health Sciences, Cleveland Clinic, Cleveland, Ohio, USA.
出版信息
Head Neck. 2022 Oct;44(10):2257-2264. doi: 10.1002/hed.27138. Epub 2022 Jul 8.
BACKGROUND
The Neck Imaging Reporting and Data System (NI-RADS) is used to assess imaging after head and neck cancer treatment. We evaluated NI-RADS with general neuroradiologists rather than with head and neck subspecialists.
METHODS
Computed tomography and magnetic resonance imaging examinations with/without positron emission tomography from May 2018 to September 2020 were retrospectively identified. NI-RADS scores at the primary site and lymph nodes were provided by 21 neuroradiologists. Recurrence status was based on clinical and imaging findings. Area under the curve (AUC) was used to assess accuracy.
RESULTS
We assessed 608 scans from 464 patients. For NI-RADS categories 1, 2, and 3, primary site recurrence rates were 5%, 29%, and 65% with AUC of 0.765, while lymph node recurrence rates were 3%, 10%, and 80% with AUC of 0.820.
CONCLUSIONS
NI-RADS as used by general neuroradiologists is effective in separating head and neck cancers into discrete categories for predicting recurrent disease.
背景
颈部成像报告和数据系统（NI-RADS）用于评估头颈部癌症治疗后的影像学表现。我们评估了通用神经放射科医生的 NI-RADS，而不是头颈部亚专科医生。
方法
回顾性地确定了 2018 年 5 月至 2020 年 9 月的计算机断层扫描和磁共振成像检查（包括正电子发射断层扫描）。21 名神经放射科医生提供了原发部位和淋巴结的 NI-RADS 评分。根据临床和影像学发现确定复发情况。使用曲线下面积（AUC）评估准确性。
结果
我们评估了 464 名患者的 608 次扫描。对于 NI-RADS 类别 1、2 和 3，原发部位的复发率分别为 5%、29%和 65%，AUC 为 0.765，而淋巴结的复发率分别为 3%、10%和 80%，AUC 为 0.820。
结论
通用神经放射科医生使用的 NI-RADS 能够有效地将头颈部癌症分为不同类别，以预测复发性疾病。
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