| Autor: |
George, Rodrigues, Alexander, Louie, Gregory, Videtic, Lara, Best, Nikhilesh, Patil, Abhirami, Hallock, Stewart, Gaede, Jeff, Kempe, Jerry, Battista, Patricia, de Haan, Glenn, Bauman |
| Rok vydání: |
2011 |
| Předmět: |
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| Zdroj: |
Journal of medical imaging and radiation oncology. 56(6) |
| ISSN: |
1754-9485 |
| Popis: |
Obtaining high levels of contouring consistency is a major limiting step in optimizing the radiotherapeutic ratio. We describe a novel quantitative methodology for the quality assurance (QA) of contour compliance referenced against a community set of contouring experts.Two clinical tumour site scenarios (10 lung cases and one prostate case) were used with QA algorithm. For each case, multiple physicians (lung: n = 6, prostate: n = 25) segmented various target/organ at risk (OAR) structures to define a set of community reference contours. For each set of community contours, a consensus contour (Simultaneous Truth and Performance Level Estimation (STAPLE)) was created. Differences between each individual community contour versus the group consensus contour were quantified by consensus-based contouring penalty metric (PM) scores. New observers segmented these same cases to calculate individual PM scores (for each unique target/OAR) for each new observer-STAPLE pair for comparison against the community and consensus contours.Four physicians contoured the 10 lung cases for a total of 72 contours for quality assurance evaluation against the previously derived community consensus contours. A total of 16 outlier contours were identified by the QA system of which 11 outliers were due to over-contouring discrepancies, three were due to over-/under-contouring discrepancies, and two were due to missing/incorrect nodal contours. In the prostate scenario involving six physicians, the QA system detected a missing penile bulb contour, systematic inner-bladder contouring, and under-contouring of the upper/anterior rectum.A practical methodology for QA has been demonstrated with future clinical trial credentialing, medical education and auto-contouring assessment applications. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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