Related Experiment Video
Updated: Jul 16, 2025
06:20
Irradiator Commissioning and Dosimetry for Assessment of LQ α and β Parameters, Radiation Dosing Schema, and in vivo Dose Deposition
Published on: March 11, 2021
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Determining The Role Of Radiation Oncologist Demographic Factors On Segmentation Quality: Insights From A
Kareem A Wahid1,2, Onur Sahin1, Suprateek Kundu3
1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Medrxiv : the Preprint Server for Health Sciences
|September 11, 2023
Summary
This study found that tumor category significantly impacts auto-segmentation quality in radiotherapy, but common observer demographics do not reliably predict performance. Further research is needed to understand segmentation quality factors.
Area of Science:
- Radiotherapy
- Medical Imaging
- Computational Biology
Background:
- Auto-segmentation in radiotherapy is crucial for workflow efficiency.
- The quality of auto-segmentation training data, derived from clinicians, is paramount.
- Factors influencing clinician segmentation quality remain poorly understood.
Conclusions:
- Conventional assumptions about demographic factors influencing segmentation quality require re-evaluation.
- Substantial uncertainty exists regarding factors that determine segmentation quality.
- Future research should explore additional demographic variables, diverse patient cohorts, imaging modalities, and alternative quality metrics.
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