Volume-based 18F-fluorodeoxyglucose positron emission tomography/computed tomography parameters correlate with delayed neck metastasis in clinical early-stage oral squamous cell carcinoma
Volume-based 18F-fluorodeoxyglucose positron emission tomography/computed tomography parameters correlate with delayed neck metastasis in clinical early-stage oral squamous cell carcinoma
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DOI：
10.1007/s11282-023-00686-7
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发表时间：
2023-04-21
期刊：
影响因子：
2.2
通讯作者：
Kirita，Tadaaki
中科院分区：
文献类型：
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作者：
Yamakawa，Nobuhiro;Nakayama，Yohei;Kirita，Tadaaki
延迟性颈转移（DNM）是决定早期口腔癌预后的重要因素，目前尚无有效预测DNM风险的术前标志物。在本研究中，我们检查了18F-氟脱氧葡萄糖正电子发射断层扫描是否原发癌的18F-FDG-PET/CT摄取参数可以预测早期口腔鳞状细胞癌（OSCC）发生DNM的风险。回顾性分析了2009年1月至2016年12月期间接受手术切除原发肿瘤而未进行选择性颈淋巴结清扫术的II OSCC。评价患者特征、组织病理学因素和PET/CT参数（最大标准化摄取值[SUVmax]、代谢性肿瘤体积[MTV]和总病变糖酵解[TLG]）与DNM的相关性。计算DNM率，并将单变量分析中具有统计学意义的参数用作解释变量。采用多因素分析确定与DNM相关的独立因素。对于所有的统计分析，p值< 0.05被认为是统计显着的。ResultsData从71例患者进行了分析，在这项研究中。所有患者的总体DNM率为21.8%。单因素分析显示，T分期、浸润深度、浸润方式、淋巴管浸润、SUVmax、MTV和TLG是DNM的显著预测因素。然而，多变量分析显示，只有浸润深度，MTV，和TLG是独立的预测DNM.ConclusionThis研究表明，除了传统的预测，体积为基础的PET参数是有用的预测DNM在那些早期口腔鳞癌。
ObjectiveThere is no known preoperative marker that can effectively predict the risk of delayed neck metastasis (DNM), which is an important factor that determines the prognosis of early-stage oral cancer. In this study, we examined whether 18F-fluorodeoxyglucose positron emission tomography (18F-FDG-PET)/computed tomography (CT) uptake parameters of primary cancer can predict the risk of DNM in early-stage oral squamous cell carcinoma (OSCC).MethodsData from patients with stage I–II OSCC who underwent surgical resection of the primary tumor without elective neck dissection between January 2009 and December 2016 were retrospectively reviewed. Patient characteristics, histopathological factors, and PET/CT parameters (maximum standardized uptake value [SUVmax], metabolic tumor volume [MTV], and total lesion glycolysis [TLG]) were evaluated for their association with DNM. DNM rates were calculated, and the parameters that were statistically significant in the univariate analysis were used as explanatory variables. Independent factors associated with DNM were identified using multivariate analysis. For all statistical analyses, p-values < 0.05 were considered statistically significant.ResultsData from 71 patients were analyzed in the study. The overall DNM rate among all patients was 21.8%. The univariate analysis showed that the T classification, depth of invasion, pattern of invasion, lymphovascular invasion, SUVmax, MTV, and TLG were significant predictors of DNM. However, the multivariate analysis revealed that only the depth of invasion, MTV, and TLG were independent predictors of DNM.ConclusionThis study suggests that, in addition to conventional predictors, volume-based PET parameters are useful predictors of DNM in those with early-stage OSCC.