Clinical Impact of Contouring Variability for Prostate Cancer Tumor Boost Article Swipe
Allison Y. Zhong
,
Asona Lui
,
Kuznetsova Sm
,
Karoline Kallis
,
Christopher C. Conlin
,
D. Deondre
,
Mariluz Rojo Domingo
,
R Manger
,
Patricia Hua
,
Roshan Karunamuni
,
Joshua Kuperman
,
Anders M. Dale
,
Rebecca Rakow‐Penner
,
Michael E. Hahn
,
Uulke A. van der Heide
,
Xenia Ray
,
Tyler M. Seibert
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.01.29.24301942
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1101/2024.01.29.24301942
Purpose The focal radiotherapy (RT) boost technique was shown in the FLAME trial to improve prostate cancer outcomes without increasing toxicity. This technique relies on the accurate delineation of prostate tumors on MRI. The ReIGNITE RT Boost study evaluated radiation oncologists’ accuracy when asked to delineate prostate tumors on MRI and demonstrated high variability in tumor contours. We sought to evaluate the impact of contour variability and inaccuracy on predicted clinical outcomes. We hypothesized that radiation oncologists’ contour inaccuracies would yield meaningfully worse clinical outcomes. Materials & Methods 44 radiation oncologists and 2 expert radiologists contoured prostate tumors on 30 patient cases. Of these cases, those with CT simulation or diagnostic CT available were selected for analysis. A knowledge-based planning model was developed to generate focal RT boost plans for each contour per the FLAME trial protocol. Probability of biochemical failure (BF) was determined using a model from the FLAME trial. The primary metric evaluated was delta BF (ΔBF = Participant BF – Expert BF). An absolute increase in BF ≥5% was considered clinically meaningful. Results 8 patient cases and 394 target volumes for focal RT boost planning were included in this analysis. In general, participant plans were associated with worse predicted clinical outcomes compared to the expert plan, with an average absolute increase in BF of 4.3%. 37% of participant plans were noted to have an absolute increase in BF of 5% or more. Conclusion Radiation oncologists’ attempts to contour tumor targets for focal RT boost are frequently inaccurate enough to yield meaningfully inferior clinical outcomes for patients.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.01.29.24301942
- https://www.medrxiv.org/content/medrxiv/early/2024/01/30/2024.01.29.24301942.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 19
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391344569
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4391344569Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.01.29.24301942Digital Object Identifier
- Title
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Clinical Impact of Contouring Variability for Prostate Cancer Tumor BoostWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-01-30Full publication date if available
- Authors
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Allison Y. Zhong, Asona Lui, Kuznetsova Sm, Karoline Kallis, Christopher C. Conlin, D. Deondre, Mariluz Rojo Domingo, R Manger, Patricia Hua, Roshan Karunamuni, Joshua Kuperman, Anders M. Dale, Rebecca Rakow‐Penner, Michael E. Hahn, Uulke A. van der Heide, Xenia Ray, Tyler M. SeibertList of authors in order
- Landing page
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https://doi.org/10.1101/2024.01.29.24301942Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2024/01/30/2024.01.29.24301942.full.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://www.medrxiv.org/content/medrxiv/early/2024/01/30/2024.01.29.24301942.full.pdfDirect OA link when available
- Concepts
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Contouring, Medicine, Prostate cancer, Radiation therapy, Metric (unit), Prostate, Clinical trial, Nuclear medicine, Radiology, Medical physics, Cancer, Internal medicine, Computer science, Computer graphics (images), Operations management, EconomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
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2024: 2Per-year citation counts (last 5 years)
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19Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.developed | 123 |
| abstract_inverted_index.evaluated | 39, 155 |
| abstract_inverted_index.outcomes. | 72, 85 |
| abstract_inverted_index.patients. | 259 |
| abstract_inverted_index.predicted | 70, 202 |
| abstract_inverted_index.protocol. | 137 |
| abstract_inverted_index.radiation | 40, 76, 90 |
| abstract_inverted_index.technique | 7, 23 |
| abstract_inverted_index.toxicity. | 21 |
| abstract_inverted_index.Conclusion | 236 |
| abstract_inverted_index.associated | 199 |
| abstract_inverted_index.clinically | 174 |
| abstract_inverted_index.considered | 173 |
| abstract_inverted_index.determined | 144 |
| abstract_inverted_index.diagnostic | 111 |
| abstract_inverted_index.frequently | 249 |
| abstract_inverted_index.inaccuracy | 68 |
| abstract_inverted_index.inaccurate | 250 |
| abstract_inverted_index.increasing | 20 |
| abstract_inverted_index.simulation | 109 |
| abstract_inverted_index.Participant | 161 |
| abstract_inverted_index.Probability | 138 |
| abstract_inverted_index.biochemical | 140 |
| abstract_inverted_index.delineation | 28 |
| abstract_inverted_index.meaningful. | 175 |
| abstract_inverted_index.oncologists | 91 |
| abstract_inverted_index.participant | 196, 221 |
| abstract_inverted_index.variability | 54, 66 |
| abstract_inverted_index.demonstrated | 52 |
| abstract_inverted_index.hypothesized | 74 |
| abstract_inverted_index.inaccuracies | 79 |
| abstract_inverted_index.meaningfully | 82, 254 |
| abstract_inverted_index.radiologists | 95 |
| abstract_inverted_index.radiotherapy | 4 |
| abstract_inverted_index.oncologists’ | 41, 77, 238 |
| abstract_inverted_index.knowledge-based | 119 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5063276978 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 17 |
| corresponding_institution_ids | https://openalex.org/I36258959, https://openalex.org/I4210150894 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.76367175 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |