Texture Analysis Using Preoperative Positron Emission Tomography Images May Predict the Prognosis of Patients With Resectable Oral Squamous Cell Carcinoma
Texture Analysis Using Preoperative Positron Emission Tomography Images May Predict the Prognosis of Patients With Resectable Oral Squamous Cell Carcinoma
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DOI：
10.1016/j.joms.2020.12.014
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发表时间：
2021-04-29
影响因子：
1.9
通讯作者：
Umemura, Masahiro
中科院分区：
文献类型：
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作者：
Kimura, Masashi;Kato, Isao;Umemura, Masahiro
目的：结构分析是一种计算机辅助技术，用于测量肿瘤内异质性，这在癌症研究中具有重要作用。本研究旨在评估可切除口腔鳞状细胞癌患者术前f -18氟脱氧葡萄糖正电子发射断层扫描图像中提取的纹理特征的潜在预后价值。患者和方法：这项回顾性队列研究包括接受口腔鳞状细胞癌切除术的患者。我们从术前正电子发射断层扫描图像中提取了31个纹理指标。选择总生存期（OS）和无病生存期（DFS）作为主要结局变量，主要预测变量为年龄、性别、原发肿瘤位置、病理T和N分型、组织学分化、切除边缘、神经和淋巴血管浸润、最大标准化摄取值以及因子分析中选择的14项质地指标。我们使用Kaplan-Meier曲线分析OS和DFS，使用log-rank检验确定生存曲线之间的差异。使用共比例风险模型评估独立预后因素。结果：我们纳入了81例患者（中位年龄67.3岁，范围32 - 88岁）。中位随访时间为50.1个月（范围6.3至133.7个月）。单变量和多变量分析显示，熵值越高（>= 1.91），OS（风险比21.49,95%可信区间1.36 ~ 340.71,P = 0.03）和DFS（风险比50.69,95%可信区间5.23 ~ 491.18,P = 0.001）越差。结论：本研究表明，熵是OS和DFS的一个有统计学意义的预后因素。术前正电子发射断层扫描图像的纹理分析可能有助于风险分层。(C) 2020美国口腔颌面外科医师协会
Purpose: Texture analysis is a computer-assisted technique used to measure intratumoral heterogeneity, which is known to have important roles in cancer research. This study aimed to assess the potential prognostic values of textural features extracted from preoperative F-18-fluorodeoxyglucose positron emission tomography images in patients with resectable oral squamous cell carcinoma.Patients and Methods: This retrospective cohort study included patients with oral squamous cell carcinoma who underwent resection surgery. We extracted 31 textural indices from preoperative positron emission tomography images. Overall survival (OS) and disease-free survival (DFS) were chosen as the primary outcome variables, and the primary predictor variables were age, sex, primary tumor location, pathological T and N classification, histologic differentiation, resected margin, perineural and lymphovascular invasion, maximum standardized uptake value, and the 14 textural indices selected in the factor analysis. We analyzed OS and DFS using Kaplan-Meier curves, and the differences between survival curves were determined using a log-rank test. The independent prognostic factors were assessed using the Coxproportional hazards model.Results: We enrolled 81 patients (median age, 67.3 years; range, 32 to 88 years). Themedian follow-up duration was 50.1 months (range, 6.3 to 133.7 months). The univariable and multivariable analyses revealed that higher entropy values (>= 1.91) were associated with worse OS (hazard ratio, 21.49; 95% confidence interval, 1.36 to 340.71; P = .03) and DFS (hazard ratio, 50.69; 95% confidence interval, 5.23 to 491.18; P = .001).Conclusions: This study showed that entropy is a statistically significant prognostic factor of both OS and DFS. Texture analysis using preoperative positron emission tomography images may contribute to risk stratification. (C) 2020 American Association of Oral and Maxillofacial Surgeons