Iliadis Georgios, Selviaridis Panagiotis, Kalogera-Fountzila Anna, Fragkoulidi Anna, Baltas Dimos, Tselis Nikolaos, Chatzisotiriou Athanasios, Misailidou Despina, Zamboglou Nikolaos, Fountzilas George
Department of Radiation Oncology, "Papageorgiou" General Hospital, Thessaloniki, Greece.
Strahlenther Onkol. 2009 Nov;185(11):743-50. doi: 10.1007/s00066-009-2015-7. Epub 2009 Nov 10.
The importance of tumor volume as a prognostic factor in high-grade gliomas is highly controversial and there are numerous methods estimating this parameter. In this study, a computer-based application was used in order to assess tumor volume from hard copies and a survival analysis was conducted in order to evaluate the prognostic significance of preoperative volumetric data in patients harboring glioblastomas.
50 patients suffering from glioblastoma were analyzed retrospectively. Tumor volume was determined by the various geometric models as well as by an own specialized software (Volumio). Age, performance status, type of excision, and tumor location were also included in the multivariate analysis.
The spheroid and rectangular models overestimated tumor volume, while the ellipsoid model offered the best approximation. Volume failed to attain any statistical significance in prognosis, while age and performance status confirmed their importance in progression-free and overall survival of patients.
Geometric models provide a rough approximation of tumor volume and should not be used, as accurate determination of size is of paramount importance in order to draw safe conclusions in oncology. Although the significance of volumetry was not disclosed, further studies are definitely required.
肿瘤体积作为高级别胶质瘤预后因素的重要性极具争议，且有多种方法可用于估算该参数。在本研究中，使用了一种基于计算机的应用程序来从硬拷贝中评估肿瘤体积，并进行了生存分析，以评估术前体积数据对胶质母细胞瘤患者的预后意义。
对50例胶质母细胞瘤患者进行回顾性分析。通过各种几何模型以及一款自主研发的专业软件（Volumio）来确定肿瘤体积。年龄、体能状态、切除类型和肿瘤位置也纳入了多因素分析。
球体模型和矩形模型高估了肿瘤体积，而椭球体模型提供了最佳近似值。体积在预后方面未达到任何统计学意义，而年龄和体能状态证实了它们在患者无进展生存期和总生存期方面的重要性。
几何模型只能对肿瘤体积进行粗略近似，不应使用，因为准确确定大小对于在肿瘤学中得出可靠结论至关重要。尽管体积测量的意义尚未明确，但肯定需要进一步研究。
