Department of Nuclear Medicine, The Fourth Affiliated Hospital of China Medical University, Shenyang, 110032, China.
Department of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110004, China.
Sci Rep. 2023 Jun 9;13(1):9439. doi: 10.1038/s41598-023-36640-0.
Accurate lymph node metastasis (LNM) prediction is crucial for patients with advanced epithelial ovarian cancer (AEOC) since it guides the decisions about lymphadenectomy. Previous studies have shown that occult lymph node metastasis (OLNM) is common in AEOC. The objective of our study is to quantitatively assess the probability of occult lymph node metastasis defined by F-Fluorodeoxyglucose PET/CT in AEOC and explore relationship between OLNM and PET metabolic parameters. The patients with pathologically confirmed AEOC who underwent PET/CT for preoperative staging at our institute were reviewed. Univariate and multivariate analysis were performed to evaluate the predictive value of PET/CT-related metabolic parameters for OLNM. The result of our study showed metastatic TLG index had a better diagnostic performance than other PET/CT-related metabolic parameters. Two variables were independently and significantly associated with OLNM in multivariate analysis: metastatic TLG index and primary tumor location. The logistic model combining metastatic TLG index, primary tumor location, and CA125 might be a promising tool to effectively predict the individualized possibility of OLNM for AEOC patients.
准确预测淋巴结转移（LNM）对于晚期上皮性卵巢癌（AEOC）患者至关重要，因为它指导着淋巴结切除术的决策。先前的研究表明，隐匿性淋巴结转移（OLNM）在 AEOC 中很常见。我们的研究目的是定量评估 F-氟脱氧葡萄糖 PET/CT 定义的 AEOC 隐匿性淋巴结转移的概率，并探讨 OLNM 与 PET 代谢参数之间的关系。我们回顾了在我院接受 PET/CT 术前分期的经病理证实为 AEOC 的患者。进行了单因素和多因素分析，以评估 PET/CT 相关代谢参数对 OLNM 的预测价值。我们的研究结果表明，转移 TLG 指数比其他 PET/CT 相关代谢参数具有更好的诊断性能。在多因素分析中，有两个变量与 OLNM 独立且显著相关：转移 TLG 指数和原发肿瘤位置。结合转移 TLG 指数、原发肿瘤位置和 CA125 的逻辑模型可能是一种很有前途的工具，可以有效地预测 AEOC 患者 OLNM 的个体化可能性。
