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

TL;DR

Raidionics is an open-source software that automates and standardizes the segmentation of central nervous system tumors and generates clinical reports, aiding decision-making in treatment and prognosis with high accuracy and efficiency.

Contribution

It introduces the first open, user-friendly tool that integrates multiple tumor segmentation models and report generation for pre- and postoperative brain tumor assessment.

Findings

Preoperative segmentation Dice score ~85% across tumor types

Postoperative segmentation Dice score ~41%

Standardized report generation takes about ten minutes

Abstract

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.