Department of Nuclear Medicine, School of Medicine, Pusan National University, Busan, Republic of Korea.
Clin Nucl Med. 2011 Jun;36(6):434-9. doi: 10.1097/RLU.0b013e31820adef8.
The aim of the current study was to investigate the predictive value of dual-time-point F-18 FDG PET/CT for pathologic N1 metastasis in patients with non-small cell lung cancer (NSCLC).
A retrospective review identified 70 patients with NSCLC patients who received dual-time-point F-18 FDG PET/CT at diagnosis of cancer. The F-18 FDG PET/CT findings for all primary NSCLC and mediastinal lymph node involvement were compared with the pathologic diagnosis within 5 weeks after surgical resection. The pathologic diagnoses of N1 state were confirmed by surgical resection. Univariate and multivariate analyses were used to analyze the associations among the pathologic N1 status and age, sex, tumor size, histology, standardized uptake value (SUV(maxE)), SUV(maxD), and %ΔSUV(max).
The N1 (+) group showed statistically significant higher value of SUV(maxE) and SUV(maxD) than N1 (-) group. The %ΔSUV(max) did not show the statistical difference between pathologic N1 (+) and N1 (-) groups. Receiver operating characteristic analyses showed that the SUV(maxE) was superior to the %ΔSUV(max) for the prediction of pathologic N1 involvement in NSCLC. In univariate analysis, pathology (adenocarcinoma or nonadenocarcinoma), SUV(maxE) (>6.9 or ≤6.9), SUV(maxD) (>7.1 or ≤7.1) were factors significantly associated with pathologic N1 involvement. However, in multivariate analysis, only the SUV(maxE) was factor significantly associated with pathologic N1 involvement in NSCLC.
Based on the presented results, the dual-time-point F-18 FDG PET/CT is not a useful method for the prediction of pathologic N1 status in NSCLC patients. Further studies are needed to confirm these results and improve statistical accuracy.
本研究旨在探讨双时相 F-18 FDG PET/CT 对非小细胞肺癌(NSCLC)患者病理 N1 转移的预测价值。
回顾性分析了 70 例 NSCLC 患者,这些患者在确诊癌症时接受了双时相 F-18 FDG PET/CT 检查。所有原发性 NSCLC 和纵隔淋巴结受累的 F-18 FDG PET/CT 结果与术后 5 周内的病理诊断进行了比较。N1 状态的病理诊断通过手术切除确定。采用单因素和多因素分析方法分析了病理 N1 状态与年龄、性别、肿瘤大小、组织学、标准摄取值(SUV(maxE))、SUV(maxD)和%ΔSUV(max)之间的关系。
N1 (+)组 SUV(maxE)和 SUV(maxD)值明显高于 N1 (-)组。%ΔSUV(max)在病理 N1 (+)和 N1 (-)组之间无统计学差异。受试者工作特征曲线分析显示,SUV(maxE)在预测 NSCLC 病理 N1 受累方面优于%ΔSUV(max)。单因素分析显示,病理(腺癌或非腺癌)、SUV(maxE)(>6.9 或 ≤6.9)、SUV(maxD)(>7.1 或 ≤7.1)是与病理 N1 受累显著相关的因素。然而,多因素分析显示,只有 SUV(maxE)是 NSCLC 病理 N1 受累的显著相关因素。
根据目前的结果,双时相 F-18 FDG PET/CT 不是预测 NSCLC 患者病理 N1 状态的有用方法。需要进一步的研究来证实这些结果并提高统计准确性。