颈部成像报告和数据系统在通过对比增强计算机断层扫描预测治疗后患者头颈部癌症残留或复发方面的作用

S. Kumari, Sunita Purohit, Pradeep Goyal
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引用次数: 0

摘要

在颈部成像和报告数据系统(NIRADS 系统)中,对原发肿瘤和颈部部位进行独立评估,以怀疑是否存在癌症,并根据成像特征分配一个数字类别。本研究旨在评估 NIRADS 系统在通过 CECT 预测治疗后患者头颈部残留或复发癌症中的作用/诊断准确性,目的是根据 3 个月的随访 CECT 扫描结果预测治疗后患者头颈部残留或复发癌症,并分配 NIRADS 类别。该研究得出结论,复发与随访 6 个月的临床、病理和/或 CECT 扫描的原发/结节/合并肿瘤部位的 NIRADS 有明显cant 关联。NIRADS > 3 的 PPV、NPV 和诊断准确性总体最高。NIRADS 的性能良好,在所有复发率的情况下,组间差异显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROLE OF NECK IMAGING REPORTING AND DATA SYSTEM IN PREDICTION OF RESIDUAL OR RECURRENT HEAD AND NECK CANCERS IN POST-TREATMENT PATIENTS BY CONTRAST-ENHANCED COMPUTED TOMOGRAPHY
In the Neck imaging and reporting data systems( NIRADS system) , both the primary tumour and neck sites are independently assessed for suspicion of cancer and assigned a numerical category based on imaging features. this study aims to evaluate the role/ the diagnostic accuracy of ( NIRADS system) in the prediction of residual or recurrent head and neck cancers in post-treatment patients by CECT with the objectives to predict the residual or recurrent head and neck cancers in post-treatment patients based on 3 month follow up CECT scan and assign NIRADS category. This study concluded that there was a signicant association between recurrence and primary/ nodal/ combined tumour site NIRADS on 6 months of follow-up clinical, pathological and /or CECT scans.NIRADS > 3 had the overall highest PPV, NPV and diagnostic accuracy. The performance of NIRADS was good, demonstrating signicant discrimination between groups, with overall recurrence rates.
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