arXiv 2305.143512023-04-28physics.med-phcs.CVcs.LGeess.IV

Raidionics：一款用于术前与术后中枢神经系统肿瘤分割及标准化报告的开放软件

Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting

SINTEF Digital（挪威科技工业研究院数字分院）；Norwegian University of Science and Technology (NTNU)（挪威科技大学（NTNU））；St. Olavs hospital, Trondheim University Hospital（特隆赫姆大学医院圣奥拉夫斯医院）

David Bouget, Demah Alsinan, Valeria Gaitan, Ragnhild Holden Helland, André Pedersen, Ole Solheim, Ingerid Reinertsen

备注：: 11 pages, 3 figures, 3 tables

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AI总结：

针对中枢神经系统肿瘤缺乏标准化自动分割与报告工具的问题，提出Raidionics开源软件，提供术前及术后肿瘤分割模型并生成标准化临床报告，在多种脑肿瘤类型上表现优异。

摘要：

对于患有中枢神经系统肿瘤的患者，预后估计、治疗决策和术后评估均通过对一组磁共振（MR）扫描的分析来完成。目前缺乏用于标准化和自动化肿瘤分割并生成包含相关肿瘤特征临床报告的开放工具，这导致因决策固有的主观性而产生潜在风险。为解决此问题，开发了Raidionics开源软件，提供友好的图形用户界面与稳定的处理后台。该软件包含针对最常见肿瘤类型（即胶质母细胞瘤、低级别胶质瘤、脑膜瘤和转移瘤）的术前分割模型，以及一个胶质母细胞瘤术后早期分割模型。四种不同脑肿瘤类型的术前分割表现相当一致，平均Dice约为85%，逐患者召回率和精确率约为95%。术后表现较低，平均Dice为41%。总体而言，在普通笔记本电脑上生成包含肿瘤分割和特征计算的标准化临床报告约需十分钟。该软件是首个开放解决方案，能够轻松将最先进的分割模型应用于所有主要肿瘤类型，并生成术前和术后标准化报告。

英文摘要：

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.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。