Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study
Abstract BackgroundAccurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2–related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but since 3D volumetric a...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
JMIR Publications
2025-07-01
|
| Series: | JMIR Human Factors |
| Online Access: | https://humanfactors.jmir.org/2025/1/e71728 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849392821483601920 |
|---|---|
| author | Shelby T Desroches Alice Huang Rithvik Ghankot Steven M Tommasini Daniel H Wiznia Frank D Buono |
| author_facet | Shelby T Desroches Alice Huang Rithvik Ghankot Steven M Tommasini Daniel H Wiznia Frank D Buono |
| author_sort | Shelby T Desroches |
| collection | DOAJ |
| description |
Abstract
BackgroundAccurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2–related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but since 3D volumetric analysis is time-consuming, it is not widely used. To shorten the time required for 3D volumetric analysis, our lab has been developing an automated artificial intelligence–driven 3D volumetric tool.
ObjectiveThe objective of the study was to survey and interview clinicians treating neurofibromatosis type 2–related schwannomatosis to understand their views on current 2D analysis and to gather insights for the design of an artificial intelligence–driven 3D volumetric analysis tool.
MethodsInterviews examined for the following themes: (1) shortcomings of the currently used linear analysis, (2) utility of 3D visualizations, (3) features of an interactive 3D modeling software, and (4) lack of a gold standard to assess the accuracy of 3D volumetric analysis. A Likert scale questionnaire was used to survey clinicians’ levels of agreement with 25 statements related to 2D and 3D tumor analyses.
ResultsA total of 14 clinicians completed a survey, and 12 clinicians were interviewed. Specialties ranged across neurosurgery, neuroradiology, neurology, oncology, and pediatrics. Overall, clinicians expressed concerns with current linear techniques, with clinicians agreeing that linear measurements can be variable with the possibility of two different clinicians calculating 2 different tumor sizes (mean 4.64, SD 0.49) and that volumetric measurements would be more helpful for determining clearer thresholds of tumor growth (mean 4.50, SD 0.52). For statements discussing the capabilities of a 3D volumetric analysis and visualization software, clinicians expressed strong interest in being able to visualize tumors with respect to critical brain structures (mean 4.36, SD 0.74) and in forecasting tumor growth (mean 4.77, SD 0.44).
ConclusionsClinicians were overall in favor of the adoption of 3D volumetric analysis techniques for measuring vestibular schwannoma tumors but expressed concerns regarding the novelty and inexperience surrounding these techniques. However, clinicians felt that the ability to visualize tumors with reference to critical structures, to overlay structures, to interact with 3D models, and to visualize areas of slow versus rapid growth in 3D would be valuable contributions to clinical practice. Overall, clinicians provided valuable insights for designing a 3D volumetric analysis tool for vestibular schwannoma tumor growth. These findings may also apply to other central nervous system tumors, offering broader utility in tumor growth assessments. |
| format | Article |
| id | doaj-art-43a7455a7b264c3ba79efb1bd58de296 |
| institution | Kabale University |
| issn | 2292-9495 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | JMIR Publications |
| record_format | Article |
| series | JMIR Human Factors |
| spelling | doaj-art-43a7455a7b264c3ba79efb1bd58de2962025-08-20T03:40:41ZengJMIR PublicationsJMIR Human Factors2292-94952025-07-0112e71728e7172810.2196/71728Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot StudyShelby T Desrocheshttp://orcid.org/0009-0003-1006-602XAlice Huanghttp://orcid.org/0009-0000-8236-3056Rithvik Ghankothttp://orcid.org/0009-0001-8732-8011Steven M Tommasinihttp://orcid.org/0000-0001-5118-5867Daniel H Wizniahttp://orcid.org/0000-0003-3987-0364Frank D Buonohttp://orcid.org/0000-0003-1324-7857 Abstract BackgroundAccurate monitoring of tumor progression is crucial for optimizing outcomes in neurofibromatosis type 2–related schwannomatosis. Standard 2D linear analysis on magnetic resonance imaging is less accurate than 3D volumetric analysis, but since 3D volumetric analysis is time-consuming, it is not widely used. To shorten the time required for 3D volumetric analysis, our lab has been developing an automated artificial intelligence–driven 3D volumetric tool. ObjectiveThe objective of the study was to survey and interview clinicians treating neurofibromatosis type 2–related schwannomatosis to understand their views on current 2D analysis and to gather insights for the design of an artificial intelligence–driven 3D volumetric analysis tool. MethodsInterviews examined for the following themes: (1) shortcomings of the currently used linear analysis, (2) utility of 3D visualizations, (3) features of an interactive 3D modeling software, and (4) lack of a gold standard to assess the accuracy of 3D volumetric analysis. A Likert scale questionnaire was used to survey clinicians’ levels of agreement with 25 statements related to 2D and 3D tumor analyses. ResultsA total of 14 clinicians completed a survey, and 12 clinicians were interviewed. Specialties ranged across neurosurgery, neuroradiology, neurology, oncology, and pediatrics. Overall, clinicians expressed concerns with current linear techniques, with clinicians agreeing that linear measurements can be variable with the possibility of two different clinicians calculating 2 different tumor sizes (mean 4.64, SD 0.49) and that volumetric measurements would be more helpful for determining clearer thresholds of tumor growth (mean 4.50, SD 0.52). For statements discussing the capabilities of a 3D volumetric analysis and visualization software, clinicians expressed strong interest in being able to visualize tumors with respect to critical brain structures (mean 4.36, SD 0.74) and in forecasting tumor growth (mean 4.77, SD 0.44). ConclusionsClinicians were overall in favor of the adoption of 3D volumetric analysis techniques for measuring vestibular schwannoma tumors but expressed concerns regarding the novelty and inexperience surrounding these techniques. However, clinicians felt that the ability to visualize tumors with reference to critical structures, to overlay structures, to interact with 3D models, and to visualize areas of slow versus rapid growth in 3D would be valuable contributions to clinical practice. Overall, clinicians provided valuable insights for designing a 3D volumetric analysis tool for vestibular schwannoma tumor growth. These findings may also apply to other central nervous system tumors, offering broader utility in tumor growth assessments.https://humanfactors.jmir.org/2025/1/e71728 |
| spellingShingle | Shelby T Desroches Alice Huang Rithvik Ghankot Steven M Tommasini Daniel H Wiznia Frank D Buono Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study JMIR Human Factors |
| title | Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study |
| title_full | Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study |
| title_fullStr | Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study |
| title_full_unstemmed | Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study |
| title_short | Clinician Perspectives of a Magnetic Resonance Imaging–Based 3D Volumetric Analysis Tool for Neurofibromatosis Type 2–Related Schwannomatosis: Qualitative Pilot Study |
| title_sort | clinician perspectives of a magnetic resonance imaging based 3d volumetric analysis tool for neurofibromatosis type 2 related schwannomatosis qualitative pilot study |
| url | https://humanfactors.jmir.org/2025/1/e71728 |
| work_keys_str_mv | AT shelbytdesroches clinicianperspectivesofamagneticresonanceimagingbased3dvolumetricanalysistoolforneurofibromatosistype2relatedschwannomatosisqualitativepilotstudy AT alicehuang clinicianperspectivesofamagneticresonanceimagingbased3dvolumetricanalysistoolforneurofibromatosistype2relatedschwannomatosisqualitativepilotstudy AT rithvikghankot clinicianperspectivesofamagneticresonanceimagingbased3dvolumetricanalysistoolforneurofibromatosistype2relatedschwannomatosisqualitativepilotstudy AT stevenmtommasini clinicianperspectivesofamagneticresonanceimagingbased3dvolumetricanalysistoolforneurofibromatosistype2relatedschwannomatosisqualitativepilotstudy AT danielhwiznia clinicianperspectivesofamagneticresonanceimagingbased3dvolumetricanalysistoolforneurofibromatosistype2relatedschwannomatosisqualitativepilotstudy AT frankdbuono clinicianperspectivesofamagneticresonanceimagingbased3dvolumetricanalysistoolforneurofibromatosistype2relatedschwannomatosisqualitativepilotstudy |