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基线和随访 F-FDG PET 成像生物标志物预测食管癌患者新辅助化疗和放疗的反应。

Prediction of Response to Neoadjuvant Chemotherapy and Radiation Therapy with Baseline and Restaging F-FDG PET Imaging Biomarkers in Patients with Esophageal Cancer.

机构信息

From the Departments of Surgical Oncology (R.J.B., J.B.H., J.T.M.P.), Nuclear Medicine and Molecular Imaging (R.J.B., W.N., R.H.J.A.S.), Radiology (J.B.H.), Radiation Oncology (V.E.M.M.), and Pathology (G.K.U.), University of Groningen, University Medical Center Groningen, Hanzeplein 1, Groningen 9713 GZ, the Netherlands; and Department of Biomedical Photonic Imaging, University of Twente, Enschede, the Netherlands (R.J.B., R.H.J.A.S.).

出版信息

Radiology. 2018 Jun;287(3):983-992. doi: 10.1148/radiol.2018172229. Epub 2018 Mar 14.

Abstract

Purpose To assess the value of baseline and restaging fluorine 18 (F) fluorodeoxyglucose (FDG) positron emission tomography (PET) radiomics in predicting pathologic complete response to neoadjuvant chemotherapy and radiation therapy (NCRT) in patients with locally advanced esophageal cancer. Materials and Methods In this retrospective study, 73 patients with histologic analysis-confirmed T1/N1-3/M0 or T2-4a/N0-3/M0 esophageal cancer were treated with NCRT followed by surgery (Chemoradiotherapy for Esophageal Cancer followed by Surgery Study regimen) between October 2014 and August 2017. Clinical variables and radiomic features from baseline and restaging F-FDG PET were selected by univariable logistic regression and least absolute shrinkage and selection operator. The selected variables were used to fit a multivariable logistic regression model, which was internally validated by using bootstrap resampling with 20 000 replicates. The performance of this model was compared with reference prediction models composed of maximum standardized uptake value metrics, clinical variables, and maximum standardized uptake value at baseline NCRT radiomic features. Outcome was defined as complete versus incomplete pathologic response (tumor regression grade 1 vs 2-5 according to the Mandard classification). Results Pathologic response was complete in 16 patients (21.9%) and incomplete in 57 patients (78.1%). A prediction model combining clinical T-stage and restaging NCRT (post-NCRT) joint maximum (quantifying image orderliness) yielded an optimism-corrected area under the receiver operating characteristics curve of 0.81. Post-NCRT joint maximum was replaceable with five other redundant post-NCRT radiomic features that provided equal model performance. All reference prediction models exhibited substantially lower discriminatory accuracy. Conclusion The combination of clinical T-staging and quantitative assessment of post-NCRT F-FDG PET orderliness (joint maximum) provided high discriminatory accuracy in predicting pathologic complete response in patients with esophageal cancer. RSNA, 2018 Online supplemental material is available for this article.

摘要

目的 评估氟 18(F)氟脱氧葡萄糖(FDG)正电子发射断层扫描(PET)基线和再分期放射组学在预测局部晚期食管癌患者新辅助化疗和放疗(NCRT)后病理完全缓解中的价值。

材料与方法 在这项回顾性研究中,2014 年 10 月至 2017 年 8 月,73 例经组织学分析证实为 T1/N1-3/M0 或 T2-4a/N0-3/M0 食管癌的患者接受了 NCRT 联合手术(食管癌放化疗后手术研究方案)。通过单变量逻辑回归和最小绝对值收缩和选择算子选择基线和再分期 F-FDG PET 的临床变量和放射组学特征。选择的变量用于拟合多变量逻辑回归模型,该模型通过使用 bootstrap 重采样(20000 次重复)进行内部验证。该模型的性能与由最大标准化摄取值指标、临床变量和基线 NCRT 放射组学特征最大标准化摄取值组成的参考预测模型进行比较。结果 根据 Mandard 分类,病理反应完全缓解的患者 16 例(21.9%),不完全缓解的患者 57 例(78.1%)。联合最大(量化图像有序性)的临床 T 分期和再分期 NCRT(post-NCRT)预测模型的校正后受试者工作特征曲线下面积为 0.81。post-NCRT 联合最大可以用其他 5 个冗余的 post-NCRT 放射组学特征来替代,这些特征提供了同等的模型性能。所有参考预测模型的判别准确性都显著较低。

结论 在预测食管癌患者病理完全缓解方面,联合临床 T 分期和 post-NCRT F-FDG PET 有序性(联合最大)的定量评估提供了较高的判别准确性。RSNA,2018 在线补充材料可在本文中获得。

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