High CT attenuation values relative to the brainstem may predict squamous cell carcinoma arising from inverted papilloma
High CT attenuation values relative to the brainstem may predict squamous cell carcinoma arising from inverted papilloma
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DOI：
10.1080/00016489.2019.1659515
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发表时间：
2019-09-06
影响因子：
1.4
通讯作者：
Yamasoba, Tatsuya
中科院分区：
文献类型：
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作者：
Azuma, Sanami;Kikuta, Shu;Yamasoba, Tatsuya
背景：鳞状细胞癌(SCCs)和内翻性乳头状瘤(IP)的鉴别诊断指标尚未建立。目的：本研究旨在评价CT相对于脑干的CT衰减值(相对CT数)是否有助于区分IP和SCC。材料和方法：对2007-2017年间连续经病理诊断为IP或SCC的患者进行回顾性研究。比较两组患者的相对CT数。通过单因素和多因素Logistic回归分析确定对区分IP和SCC具有预测能力的因素。结果：最终分析54例鼻腔鼻腔肿瘤(IP 25例，SCC 29例)。鳞癌的相对CT数显著高于IP(p<；.001)。单因素Logistic回归分析显示，BMI、相对CT数和病程对区分IP和SCC有预测价值。在多因素Logistic回归分析中，只有相对CT数具有区分IP和SCC的预测价值(优势比，1.97)，且相对CT数为>；=1.4与SCC显著相关。结论：高相对CT数可用于鉴别鳞癌，其测量可为区分IP和SCC提供依据。
Background: A diagnostic indicator for differentiating squamous cell carcinomas (SCCs) from inverted papillomas (IPs) has not been established. Objectives: This study aimed to evaluate whether CT attenuation values relative to those of the brainstem (relative CT number) could be useful in differentiating IPs from SCCs. Material and Methods: Consecutive patients who were pathologically diagnosed with IP or SCC between 2007 and 2017 were retrospectively identified. Relative CT numbers were compared between the two patient groups. The factors with predictive power for differentiating IPs from SCCs were identified by univariate and multivariate logistic regression analyses. Results: Fifty-four sinonasal tumour cases were finally analysed (IP, 25 cases; SCC, 29 cases). Relative CT numbers were significantly higher in SCC than in IP (p < .001). The univariate logistic regression analysis showed BMI, relative CT number, and disease duration to have predictive value for differentiating IPs from SCCs. In the multivariate logistic regression analysis, only the relative CT number had predictive value for distinguishing IP from SCC (odds ratio, 1.97), with a relative CT number of >= 1.4 being significantly associated with SCC. Conclusions: High relative CT numbers could potentially be used to identify SCCs, and their measurement could provide a basis for differentiating IPs from SCCs.