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Non-Hodgkin lymphoma response evaluation with MRI texture classification
BACKGROUND: To show magnetic resonance imaging (MRI) texture appearance change in non-Hodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis. METHODS: A total of 19 patients having NHL with an evaluable lymphoma lesion were scanned at three imaging timepoint...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711966/ https://www.ncbi.nlm.nih.gov/pubmed/19545438 http://dx.doi.org/10.1186/1756-9966-28-87 |
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author | Harrison, Lara CV Luukkaala, Tiina Pertovaara, Hannu Saarinen, Tuomas O Heinonen, Tomi T Järvenpää, Ritva Soimakallio, Seppo Kellokumpu-Lehtinen, Pirkko-Liisa I Eskola, Hannu J Dastidar, Prasun |
author_facet | Harrison, Lara CV Luukkaala, Tiina Pertovaara, Hannu Saarinen, Tuomas O Heinonen, Tomi T Järvenpää, Ritva Soimakallio, Seppo Kellokumpu-Lehtinen, Pirkko-Liisa I Eskola, Hannu J Dastidar, Prasun |
author_sort | Harrison, Lara CV |
collection | PubMed |
description | BACKGROUND: To show magnetic resonance imaging (MRI) texture appearance change in non-Hodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis. METHODS: A total of 19 patients having NHL with an evaluable lymphoma lesion were scanned at three imaging timepoints with 1.5T device during clinical treatment evaluation. Texture characteristics of images were analyzed and classified with MaZda application and statistical tests. RESULTS: NHL tissue MRI texture imaged before treatment and under chemotherapy was classified within several subgroups, showing best discrimination with 96% correct classification in non-linear discriminant analysis of T2-weighted images. Texture parameters of MRI data were successfully tested with statistical tests to assess the impact of the separability of the parameters in evaluating chemotherapy response in lymphoma tissue. CONCLUSION: Texture characteristics of MRI data were classified successfully; this proved texture analysis to be potential quantitative means of representing lymphoma tissue changes during chemotherapy response monitoring. |
format | Text |
id | pubmed-2711966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27119662009-07-17 Non-Hodgkin lymphoma response evaluation with MRI texture classification Harrison, Lara CV Luukkaala, Tiina Pertovaara, Hannu Saarinen, Tuomas O Heinonen, Tomi T Järvenpää, Ritva Soimakallio, Seppo Kellokumpu-Lehtinen, Pirkko-Liisa I Eskola, Hannu J Dastidar, Prasun J Exp Clin Cancer Res Research BACKGROUND: To show magnetic resonance imaging (MRI) texture appearance change in non-Hodgkin lymphoma (NHL) during treatment with response controlled by quantitative volume analysis. METHODS: A total of 19 patients having NHL with an evaluable lymphoma lesion were scanned at three imaging timepoints with 1.5T device during clinical treatment evaluation. Texture characteristics of images were analyzed and classified with MaZda application and statistical tests. RESULTS: NHL tissue MRI texture imaged before treatment and under chemotherapy was classified within several subgroups, showing best discrimination with 96% correct classification in non-linear discriminant analysis of T2-weighted images. Texture parameters of MRI data were successfully tested with statistical tests to assess the impact of the separability of the parameters in evaluating chemotherapy response in lymphoma tissue. CONCLUSION: Texture characteristics of MRI data were classified successfully; this proved texture analysis to be potential quantitative means of representing lymphoma tissue changes during chemotherapy response monitoring. BioMed Central 2009-06-22 /pmc/articles/PMC2711966/ /pubmed/19545438 http://dx.doi.org/10.1186/1756-9966-28-87 Text en Copyright © 2009 Harrison 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 Harrison, Lara CV Luukkaala, Tiina Pertovaara, Hannu Saarinen, Tuomas O Heinonen, Tomi T Järvenpää, Ritva Soimakallio, Seppo Kellokumpu-Lehtinen, Pirkko-Liisa I Eskola, Hannu J Dastidar, Prasun Non-Hodgkin lymphoma response evaluation with MRI texture classification |
title | Non-Hodgkin lymphoma response evaluation with MRI texture classification |
title_full | Non-Hodgkin lymphoma response evaluation with MRI texture classification |
title_fullStr | Non-Hodgkin lymphoma response evaluation with MRI texture classification |
title_full_unstemmed | Non-Hodgkin lymphoma response evaluation with MRI texture classification |
title_short | Non-Hodgkin lymphoma response evaluation with MRI texture classification |
title_sort | non-hodgkin lymphoma response evaluation with mri texture classification |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2711966/ https://www.ncbi.nlm.nih.gov/pubmed/19545438 http://dx.doi.org/10.1186/1756-9966-28-87 |
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