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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...

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Detalles Bibliográficos
Autores principales: Levine, Zachary H., Galloway, Benjamin R., Peskin, Adele P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2011
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.
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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
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AT gallowaybenjaminr recistappliedtorealistictumormodels
AT peskinadelep recistappliedtorealistictumormodels