Comparison of Volumetric and 2D-based Response Methods in the PNOC-001 Pediatric Low-Grade Glioma Clinical Trial

M. von Reppert, D. Ramakrishnan, Sarah C Brüningk, Fatima Memon, Sandra Abi Fadel, Nazanin Maleki, R.C. Bahar, Arman E Avesta, L. Jekel, Matthew Sala, J. Lost, N. Tillmanns, Manpreet Kaur, S. Aneja, A. Kazerooni, A. Nabavizadeh, Ming De Lin, Karl-Titus Hoffmann, K. Bousabarah, Kristin R Swanson, Daphne A Haas-Kogan, Sabine Mueller, Mariam S Aboian
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Abstract

Although response in pediatric low-grade glioma (pLGG) includes volumetric assessment, more simplified 2D-based methods are often used in clinical trials. The study purpose was to compare volumetric to 2D methods. An expert neuroradiologist performed solid and whole tumor (including cyst and edema) volumetric measurements on MR images using a PACS-based manual segmentation tool in 43 pLGG participants (213 total follow-up images) from the PNOC-001 trial. Classification based on changes in volumetric and 2D measurements of solid tumor were compared to neuroradiologist visual response assessment using the Brain Tumor Reporting and Data System (BT-RADS) criteria for a subset of 65 images using receiver operating characteristic (ROC) analysis. Longitudinal modeling of solid tumor volume was used to predict BT-RADS classification in 54 of the 65 images. There was a significant difference in ROC area under the curve (AUC) between 3D solid tumor volume and 2D area (0.96 vs. 0.78, p = 0.005) and between 3D solid and 3D whole volume (0.96 vs. 0.84, p = 0.006) when classifying BT-RADS progressive disease (PD). Thresholds of 15-25% increase in 3D solid tumor volume had an 80% sensitivity in classifying BT-RADS PD included in their 95% confidence intervals. The longitudinal model of solid volume response had a sensitivity of 82% and positive predictive value of 67% for detecting BT-RADS PD. Volumetric analysis of solid tumor was significantly better than 2D measurements in classifying tumor progression as determined by BT-RADS criteria and will enable more comprehensive clinical management.
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PNOC-001 儿科低级别胶质瘤临床试验中体积测量法与二维反应法的比较
虽然小儿低级别胶质瘤(pLGG)的反应包括体积评估,但临床试验中通常使用更简化的基于二维的方法。这项研究的目的是比较容积法和二维法。 一位神经放射专家使用基于 PACS 的手动分割工具,对 PNOC-001 试验中的 43 名 pLGG 参与者(共 213 张随访图像)的 MR 图像进行了实体瘤和全肿瘤(包括囊肿和水肿)的体积测量。使用接收器操作特征 (ROC) 分析,将基于实体瘤体积和二维测量变化的分类与神经放射科医师使用脑肿瘤报告和数据系统 (BT-RADS) 标准对 65 幅图像子集进行的视觉反应评估进行比较。实体肿瘤体积的纵向建模用于预测 65 张图像中 54 张的 BT-RADS 分类。 在对 BT-RADS 进展性疾病(PD)进行分级时,三维实体瘤体积与二维面积(0.96 vs. 0.78,p = 0.005)以及三维实体瘤体积与三维整体体积(0.96 vs. 0.84,p = 0.006)之间的 ROC 曲线下面积(AUC)存在明显差异。三维实体瘤体积增加 15-25% 的阈值对 BT-RADS 进展性疾病分类的灵敏度为 80%,其置信区间为 95%。实体瘤体积反应纵向模型检测 BT-RADS PD 的灵敏度为 82%,阳性预测值为 67%。 在根据 BT-RADS 标准对肿瘤进展进行分类方面,实体瘤的体积分析明显优于二维测量,这将有助于进行更全面的临床管理。
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