| Dosimetric evaluation of automatic segmentation for adaptive IMRT for head-and-neck cancer. | |
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MedLine Citation:
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PMID: 20231063 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: Adaptive planning to accommodate anatomic changes during treatment requires repeat segmentation. This study uses dosimetric endpoints to assess automatically deformed contours. METHODS AND MATERIALS: Sixteen patients with head-and-neck cancer had adaptive plans because of anatomic change during radiotherapy. Contours from the initial planning computed tomography (CT) were deformed to the mid-treatment CT using an intensity-based free-form registration algorithm then compared with the manually drawn contours for the same CT using the Dice similarity coefficient and an overlap index. The automatic contours were used to create new adaptive plans. The original and automatic adaptive plans were compared based on dosimetric outcomes of the manual contours and on plan conformality. RESULTS: Volumes from the manual and automatic segmentation were similar; only the gross tumor volume (GTV) was significantly different. Automatic plans achieved lower mean coverage for the GTV: V95: 98.6 +/- 1.9% vs. 89.9 +/- 10.1% (p = 0.004) and clinical target volume: V95: 98.4 +/- 0.8% vs. 89.8 +/- 6.2% (p < 0.001) and a higher mean maximum dose to 1 cm(3) of the spinal cord 39.9 +/- 3.7 Gy vs. 42.8 +/- 5.4 Gy (p = 0.034), but no difference for the remaining structures. CONCLUSIONS: Automatic segmentation is not robust enough to substitute for physician-drawn volumes, particularly for the GTV. However, it generates normal structure contours of sufficient accuracy when assessed by dosimetric end points. |
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Authors:
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Stuart Y Tsuji; Andrew Hwang; Vivian Weinberg; Sue S Yom; Jeanne M Quivey; Ping Xia |
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Publication Detail:
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Type: Journal Article Date: 2010-03-16 |
Journal Detail:
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Title: International journal of radiation oncology, biology, physics Volume: 77 ISSN: 1879-355X ISO Abbreviation: Int. J. Radiat. Oncol. Biol. Phys. Publication Date: 2010 Jul |
Date Detail:
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Created Date: 2010-05-31 Completed Date: 2010-06-14 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7603616 Medline TA: Int J Radiat Oncol Biol Phys Country: United States |
Other Details:
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Languages: eng Pagination: 707-14 Citation Subset: IM |
Copyright Information:
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(c) 2010 Elsevier Inc. All rights reserved. |
Affiliation:
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Department of Radiation Oncology, University of California, San Francisco, Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Carcinoma / pathology, radiography, radiotherapy Female Head and Neck Neoplasms / pathology, radiography*, radiotherapy* Humans Male Middle Aged Radiotherapy Dosage Radiotherapy Planning, Computer-Assisted / methods* Radiotherapy, Intensity-Modulated* Retrospective Studies Sample Size Statistics, Nonparametric Tomography, X-Ray Computed / methods Tumor Burden Young Adult |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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