| Type of document: |
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Articles in peer-reviewed journal |
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| Domain: |
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| Title: |
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DENTALMAPS: Automatic Dental Delineation for Radiotherapy Planning in Head and Neck Cancer |
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| Author(s): |
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Juliette Thariat 1, Liliane Ramus ( Author to contact preferably ) 2, 3, Philippe Maingon 4, Guillaume Odin 5, Vincent Grégoire 6, Vincent Darcourt 7, Pierre-Yves Marcy 7, Nicolas Guevara 5, Marie-Helene Orlanducci 5, Serge Marcie 7, Gilles Poissonnet 7, Alex Bozec 7, Olivier Dassonville 7, François Demard 7, Laurent Castillo 5, José Santini 7, Grégoire Malandain ( Author to contact preferably ) 2 |
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| Research team(s): |
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| Research team (except Inria): |
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Department of Radiation Oncology Department of Head-and-Neck Surgery |
| Abstract: |
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Purpose To propose an automatic atlas-based segmentation framework of the dental structures, called Dentalmaps, and to assess its accuracy and relevance to guide dental care in the context of intensity-modulated radiotherapy. Methods and Materials A multi-atlas-based segmentation, less sensitive to artifacts than previously published head-and-neck segmentation methods, was used. The manual segmentations of a 21-patient database were first deformed onto the query using nonlinear registrations with the training images and then fused to estimate the consensus segmentation of the query. Results The framework was evaluated with a leave-one-out protocol. The maximum doses estimated using manual contours were considered as ground truth and compared with the maximum doses estimated using automatic contours. The dose estimation error was within 2-Gy accuracy in 75% of cases (with a median of 0.9 Gy), whereas it was within 2-Gy accuracy in 30% of cases only with the visual estimation method without any contour, which is the routine practice procedure. Conclusions Dose estimates using this framework were more accurate than visual estimates without dental contour. Dentalmaps represents a useful documentation and communication tool between radiation oncologists and dentists in routine practice. Prospective multicenter assessment is underway on patients extrinsic to the database. |
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| Full text language: |
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English |
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| Journal title: |
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International Journal of Radiation Oncology*Biology*Physics / International Journal of Radiation Oncology Biology Physics; International Journal of Radiation Oncology Biology & Physics |
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| Publication date: |
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2011 |
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| Audience: |
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not specified |
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| Commercial editor: |
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undefined or unknown publisher |
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| Writing date: |
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2011 |
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