El Naqa I, Grigsby P, Apte A, Kidd E, Donnelly E, Khullar D, Chaudhari S, Yang D, Schmitt M, Laforest Richard, Thorstad W, Deasy J O
Department of Radiation Oncology, Washington University School of Medicine St. Louis, MO, USA.
Pattern Recognit. 2009 Jun 1;42(6):1162-1171. doi: 10.1016/j.patcog.2008.08.011.
Accumulating evidence suggests that characteristics of pre-treatment FDG-PET could be used as prognostic factors to predict outcomes in different cancer sites. Current risk analyses are limited to visual assessment or direct uptake value measurements. We are investigating intensity-volume histogram metrics and shape and texture features extracted from PET images to predict patient's response to treatment. These approaches were demonstrated using datasets from cervix and head and neck cancers, where AUC of 0.76 and 1.0 were achieved, respectively. The preliminary results suggest that the proposed approaches could potentially provide better tools and discriminant power for utilizing functional imaging in clinical prognosis.
越来越多的证据表明，治疗前氟代脱氧葡萄糖正电子发射断层扫描（FDG-PET）的特征可作为预测不同癌症部位预后的预后因素。目前的风险分析仅限于视觉评估或直接摄取值测量。我们正在研究从PET图像中提取的强度-体积直方图指标以及形状和纹理特征，以预测患者的治疗反应。使用来自宫颈癌和头颈癌的数据集对这些方法进行了验证，在这些数据集中，分别获得了0.76和1.0的曲线下面积（AUC）。初步结果表明，所提出的方法可能为在临床预后中利用功能成像提供更好的工具和判别能力。
