Abdel-Rahman Omar
Department of Clinical Oncology, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Department of Oncology, University of Calgary, Tom Baker Cancer Centre, Calgary, Alberta, Canada.
Melanoma Res. 2019 Feb;29(1):53-58. doi: 10.1097/CMR.0000000000000528.
The aim of the current study is to assess the performance of some of the imaging scans recommended in the National Comprehensive Cancer Network Guidelines as part of baseline staging for cutaneous melanoma, regarding the detection of lung, brain, bone, and liver metastases. Surveillance, Epidemiology and End Results database (2010-2015) was used to extract the data, and cases with cutaneous melanoma and complete information about TN stages and sites of distant metastases were explored. Performance parameters assessed in the current study included positive predictive value (PPV), negative predictive value, sensitivity, specificity, number needed to investigate (NNI), and accuracy. A total of 109 971 patients were included in the analysis. If all stage III patients in the study cohort are to be staged through routine imaging, PPV (for the recognition of lung metastases) will be 2.9% and NNI to detect one case of lung metastasis will be 34. Likewise, PPV (for the recognition of bone metastases) will be 1.8% and NNI to detect one case of bone metastasis will be 55. Moreover, PPV (for the recognition of liver metastases) will be 1.8% and NNI to detect one case of liver metastasis will be 55. Excluding stage III patients with clinically node-negative/sentinel node-positive disease would improve PPV and decrease NNI for the three metastatic sites. Adherence to current National Comprehensive Cancer Network guidelines for cutaneous melanoma imaging for baseline staging results in low rates of failure to detect asymptomatic lung, liver, brain, or bone metastases.
本研究的目的是评估美国国立综合癌症网络(National Comprehensive Cancer Network)指南中推荐的一些成像扫描在皮肤黑色素瘤基线分期中对于检测肺、脑、骨和肝转移灶的性能。利用监测、流行病学和最终结果数据库(2010 - 2015年)提取数据,并对患有皮肤黑色素瘤且具备TN分期和远处转移部位完整信息的病例进行研究。本研究评估的性能参数包括阳性预测值(PPV)、阴性预测值、敏感性、特异性、需调查例数(NNI)和准确性。共有109971例患者纳入分析。如果研究队列中的所有III期患者都要通过常规成像进行分期,PPV(用于识别肺转移)将为2.9%,检测一例肺转移的NNI将为34。同样,PPV(用于识别骨转移)将为1.8%,检测一例骨转移的NNI将为55。此外,PPV(用于识别肝转移)将为1.8%,检测一例肝转移的NNI将为55。排除临床淋巴结阴性/前哨淋巴结阳性疾病的III期患者将提高三个转移部位的PPV并降低NNI。遵循当前美国国立综合癌症网络关于皮肤黑色素瘤基线分期成像的指南,未能检测到无症状肺、肝、脑或骨转移的发生率较低。