Clinical Oncology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Department of Oncology, University of Calgary, Tom Baker Cancer Centre, 1331 29 ST NW, Calgary, AB, T2N 4N2, Canada.
Med Oncol. 2019 Feb 1;36(3):26. doi: 10.1007/s12032-019-1248-2.
This analysis aims to evaluate the performance characteristics of alternative baseline imaging thresholds in a cohort of hepatocellular carcinoma (HCC) patients from the Surveillance, Epidemiology, and End Results (SEER) database. HCC patients within the SEER database (2010-2015) who had complete information on clinical T and N stages as well as complete information on metastatic sites were eligible for the current study. Various performance characteristics associated with baseline imaging were investigated, including specificity, sensitivity, positive likelihood ratio (LR), negative LR, number needed to investigate (NNI), negative predictive value (NPV), positive predictive value (PPV), and accuracy. A total of 27,201 HCC patients were included. Based on current recommendations that advocate for the use of cross-sectional chest imaging in all newly diagnosed cases of HCC, these recommendations would yield a PPV of 5.0% for the detection of lung metastases. This would translate to an NNI of 20.0. When T1N0 patients were excluded from routine chest or bone imaging, this resulted in a PPV of 6.8% for the identification of lung metastases and an NNI of 14.7. Likewise, this translated to a PPV of 4.6% for the identification of bone metastases and an NNI of 21.7. Similarly, when patients with T1N0 disease and normal alpha-fetoprotein (AFP) were excluded from routine imaging, this resulted in a PPV of 5.6% for the identification of lung metastases and an NNI of 17.8. Also, this translated to a PPV of 3.8% for the identification of bone metastases and an NNI of 26.3. The current study suggests that the omission of routine baseline chest imaging may be considered in selected patients with asymptomatic early-stage HCC and normal AFP.
本分析旨在评估替代基线成像阈值在来自监测、流行病学和最终结果(SEER)数据库的肝细胞癌(HCC)患者队列中的性能特征。符合当前研究条件的 HCC 患者需要在 SEER 数据库(2010-2015 年)中具有完整的临床 T 和 N 分期信息以及完整的转移部位信息。研究调查了与基线成像相关的各种性能特征,包括特异性、敏感性、阳性似然比(LR)、阴性似然比、需要调查的数量(NNI)、阴性预测值(NPV)、阳性预测值(PPV)和准确性。共纳入 27201 例 HCC 患者。根据目前建议在所有新诊断的 HCC 病例中使用横断面胸部成像的建议,该建议将导致检测肺转移的 PPV 为 5.0%。这将转化为 NNI 为 20.0。当从常规胸部或骨骼成像中排除 T1N0 患者时,这导致识别肺转移的 PPV 为 6.8%,NNI 为 14.7。同样,这将转化为识别骨转移的 PPV 为 4.6%,NNI 为 21.7。同样,当排除 T1N0 疾病和正常甲胎蛋白(AFP)的患者时,这导致识别肺转移的 PPV 为 5.6%,NNI 为 17.8。此外,这将转化为识别骨转移的 PPV 为 3.8%,NNI 为 26.3。本研究表明,在无症状早期 HCC 和正常 AFP 的选定患者中,可以考虑省略常规基线胸部成像。