For patients suffering from central nervous system tumors, prognosis
estimation, treatment decisions, and postoperative assessments are made from
the analysis of a set of magnetic resonance (MR) scans. Currently, the lack of
open tools for standardized and automatic tumor segmentation and generation of
clinical reports, incorporating relevant tumor characteristics, leads to
potential risks from inherent decisions' subjectivity. To tackle this problem,
the proposed Raidionics open-source software has been developed, offering both
a user-friendly graphical user interface and stable processing backend. The
software includes preoperative segmentation models for each of the most common
tumor types (i.e., glioblastomas, lower grade gliomas, meningiomas, and
metastases), together with one early postoperative glioblastoma segmentation
model. Preoperative segmentation performances were quite homogeneous across the
four different brain tumor types, with an average Dice around 85% and
patient-wise recall and precision around 95%. Postoperatively, performances
were lower with an average Dice of 41%. Overall, the generation of a
standardized clinical report, including the tumor segmentation and features
computation, requires about ten minutes on a regular laptop. The proposed
Raidionics software is the first open solution enabling an easy use of
state-of-the-art segmentation models for all major tumor types, including
preoperative and postsurgical standardized reports.

针对中枢神经系统肿瘤患者，开发了 Raidionics 软件，提供 MRI 扫描的肿瘤分割和特征计算，生成标准化的临床报告，该软件是首个使用最先进分割模型的开源解决方案，包括所有主要肿瘤类型的术前和术后标准化报告。