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RECIST Applied to Realistic Tumor Models
RECIST (Response Evaluation Criteria in Solid Tumors) is a linear measure intended to predict tumor size in medical computed tomography (CT). In this work, using purely geometrical considerations, we estimate how well RECIST can predict the volume of randomly-oriented tumor models, each composed of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550336/ https://www.ncbi.nlm.nih.gov/pubmed/26989592 http://dx.doi.org/10.6028/jres.116.013 |
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author | Levine, Zachary H. Galloway, Benjamin R. Peskin, Adele P. |
author_facet | Levine, Zachary H. Galloway, Benjamin R. Peskin, Adele P. |
author_sort | Levine, Zachary H. |
collection | PubMed |
description | RECIST (Response Evaluation Criteria in Solid Tumors) is a linear measure intended to predict tumor size in medical computed tomography (CT). In this work, using purely geometrical considerations, we estimate how well RECIST can predict the volume of randomly-oriented tumor models, each composed of the union of ellipsoids. The principal conclusion is that RECIST is likely to work less well for realistic tumors than for ellipsoids. |
format | Online Article Text |
id | pubmed-4550336 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-45503362016-03-17 RECIST Applied to Realistic Tumor Models Levine, Zachary H. Galloway, Benjamin R. Peskin, Adele P. J Res Natl Inst Stand Technol Article RECIST (Response Evaluation Criteria in Solid Tumors) is a linear measure intended to predict tumor size in medical computed tomography (CT). In this work, using purely geometrical considerations, we estimate how well RECIST can predict the volume of randomly-oriented tumor models, each composed of the union of ellipsoids. The principal conclusion is that RECIST is likely to work less well for realistic tumors than for ellipsoids. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2011 2011-06-01 /pmc/articles/PMC4550336/ /pubmed/26989592 http://dx.doi.org/10.6028/jres.116.013 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Article Levine, Zachary H. Galloway, Benjamin R. Peskin, Adele P. RECIST Applied to Realistic Tumor Models |
title | RECIST Applied to Realistic Tumor Models |
title_full | RECIST Applied to Realistic Tumor Models |
title_fullStr | RECIST Applied to Realistic Tumor Models |
title_full_unstemmed | RECIST Applied to Realistic Tumor Models |
title_short | RECIST Applied to Realistic Tumor Models |
title_sort | recist applied to realistic tumor models |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550336/ https://www.ncbi.nlm.nih.gov/pubmed/26989592 http://dx.doi.org/10.6028/jres.116.013 |
work_keys_str_mv | AT levinezacharyh recistappliedtorealistictumormodels AT gallowaybenjaminr recistappliedtorealistictumormodels AT peskinadelep recistappliedtorealistictumormodels |