Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting
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 g...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-42048-7 |
| _version_ | 1797452681606856704 |
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| author | David Bouget Demah Alsinan Valeria Gaitan Ragnhild Holden Helland André Pedersen Ole Solheim Ingerid Reinertsen |
| author_facet | David Bouget Demah Alsinan Valeria Gaitan Ragnhild Holden Helland André Pedersen Ole Solheim Ingerid Reinertsen |
| author_sort | David Bouget |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T15:11:12Z |
| format | Article |
| id | doaj.art-d6d9b2e9ab7448598530ac69f79d1361 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T15:11:12Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-d6d9b2e9ab7448598530ac69f79d13612023-11-26T13:21:43ZengNature PortfolioScientific Reports2045-23222023-09-0113111010.1038/s41598-023-42048-7Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reportingDavid Bouget0Demah Alsinan1Valeria Gaitan2Ragnhild Holden Helland3André Pedersen4Ole Solheim5Ingerid Reinertsen6Department of Health Research, SINTEF DigitalDepartment of Health Research, SINTEF DigitalDepartment of Health Research, SINTEF DigitalDepartment of Health Research, SINTEF DigitalDepartment of Health Research, SINTEF DigitalDepartment of Neurosurgery, St. Olavs Hospital, Trondheim University HospitalDepartment of Health Research, SINTEF DigitalAbstract 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.https://doi.org/10.1038/s41598-023-42048-7 |
| spellingShingle | David Bouget Demah Alsinan Valeria Gaitan Ragnhild Holden Helland André Pedersen Ole Solheim Ingerid Reinertsen Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting Scientific Reports |
| title | Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting |
| title_full | Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting |
| title_fullStr | Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting |
| title_full_unstemmed | Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting |
| title_short | Raidionics: an open software for pre- and postoperative central nervous system tumor segmentation and standardized reporting |
| title_sort | raidionics an open software for pre and postoperative central nervous system tumor segmentation and standardized reporting |
| url | https://doi.org/10.1038/s41598-023-42048-7 |
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