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Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging
BACKGROUND: To correlate the metabolic changes with size changes for tumor response by concomitant PET-CT evaluation of lung cancers after radiotherapy. METHODS: 36 patients were studied pre- and post-radiotherapy with(18)FDG PET-CT scans at a median interval of 71 days. All of the patients were fol...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892564/ https://www.ncbi.nlm.nih.gov/pubmed/17521442 http://dx.doi.org/10.1186/1748-717X-2-18 |
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author | Wong, Ching-yee O Schmidt, Joseph Bong, Jeffery S Chundru, Suyra Kestin, Larry Yan, Di Grills, Inga Gaskill, Marianne Cheng, Vincent Martinez, Alvaro A Fink-Bennett, Darlene |
author_facet | Wong, Ching-yee O Schmidt, Joseph Bong, Jeffery S Chundru, Suyra Kestin, Larry Yan, Di Grills, Inga Gaskill, Marianne Cheng, Vincent Martinez, Alvaro A Fink-Bennett, Darlene |
author_sort | Wong, Ching-yee O |
collection | PubMed |
description | BACKGROUND: To correlate the metabolic changes with size changes for tumor response by concomitant PET-CT evaluation of lung cancers after radiotherapy. METHODS: 36 patients were studied pre- and post-radiotherapy with(18)FDG PET-CT scans at a median interval of 71 days. All of the patients were followed clinically and radiographically after a mean period of 342 days for assessment of local control or failure rates. Change in size (sum of maximum orthogonal diameters) was correlated with that of maximum standard uptake value (SUV) of the primary lung cancer before and after conventional radiotherapy. RESULTS: There was a significant reduction in both SUV and size of the primary cancer after radiotherapy (p < 0.00005). Among the 20 surviving patients, the sensitivity, specificity, and accuracy using PET (SUV) were 94%, 50%, 90% respectively and the corresponding values using and CT (size criteria) were 67%, 50%, and 65% respectively. The metabolic change (SUV) was highly correlated with the change in size by a quadratic function. In addition, the mean percentage metabolic change was significantly larger than that of size change (62.3 ± 32.7% vs 47.1 ± 26.1% respectively, p = 0.03) CONCLUSION: Correlating and incorporating metabolic change by PET into size change by concomitant CT is more sensitive in assessing therapeutic response than CT alone. |
format | Text |
id | pubmed-1892564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-18925642007-06-15 Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging Wong, Ching-yee O Schmidt, Joseph Bong, Jeffery S Chundru, Suyra Kestin, Larry Yan, Di Grills, Inga Gaskill, Marianne Cheng, Vincent Martinez, Alvaro A Fink-Bennett, Darlene Radiat Oncol Research BACKGROUND: To correlate the metabolic changes with size changes for tumor response by concomitant PET-CT evaluation of lung cancers after radiotherapy. METHODS: 36 patients were studied pre- and post-radiotherapy with(18)FDG PET-CT scans at a median interval of 71 days. All of the patients were followed clinically and radiographically after a mean period of 342 days for assessment of local control or failure rates. Change in size (sum of maximum orthogonal diameters) was correlated with that of maximum standard uptake value (SUV) of the primary lung cancer before and after conventional radiotherapy. RESULTS: There was a significant reduction in both SUV and size of the primary cancer after radiotherapy (p < 0.00005). Among the 20 surviving patients, the sensitivity, specificity, and accuracy using PET (SUV) were 94%, 50%, 90% respectively and the corresponding values using and CT (size criteria) were 67%, 50%, and 65% respectively. The metabolic change (SUV) was highly correlated with the change in size by a quadratic function. In addition, the mean percentage metabolic change was significantly larger than that of size change (62.3 ± 32.7% vs 47.1 ± 26.1% respectively, p = 0.03) CONCLUSION: Correlating and incorporating metabolic change by PET into size change by concomitant CT is more sensitive in assessing therapeutic response than CT alone. BioMed Central 2007-05-23 /pmc/articles/PMC1892564/ /pubmed/17521442 http://dx.doi.org/10.1186/1748-717X-2-18 Text en Copyright © 2007 Wong et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Wong, Ching-yee O Schmidt, Joseph Bong, Jeffery S Chundru, Suyra Kestin, Larry Yan, Di Grills, Inga Gaskill, Marianne Cheng, Vincent Martinez, Alvaro A Fink-Bennett, Darlene Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging |
title | Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging |
title_full | Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging |
title_fullStr | Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging |
title_full_unstemmed | Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging |
title_short | Correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined F-18 FDG PET-CT imaging |
title_sort | correlating metabolic and anatomic responses of primary lung cancers to radiotherapy by combined f-18 fdg pet-ct imaging |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892564/ https://www.ncbi.nlm.nih.gov/pubmed/17521442 http://dx.doi.org/10.1186/1748-717X-2-18 |
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