Cargando…
Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis
OBJECTIVES: Diffusion-weighted magnetic resonance imaging (DW-MRI) and imaging of glucose metabolism by positron emission tomography (FDG-PET) provide quantitative information on tissue characteristics. Combining the two methods might provide novel insights into tumor heterogeneity and biology. Here...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506136/ https://www.ncbi.nlm.nih.gov/pubmed/26186719 http://dx.doi.org/10.1371/journal.pone.0132386 |
_version_ | 1782381652384677888 |
---|---|
author | Metz, Stephan Ganter, Carl Lorenzen, Sylvie van Marwick, Sandra Holzapfel, Konstantin Herrmann, Ken Rummeny, Ernst J. Wester, Hans-Jürgen Schwaiger, Markus Nekolla, Stephan G. Beer, Ambros J. |
author_facet | Metz, Stephan Ganter, Carl Lorenzen, Sylvie van Marwick, Sandra Holzapfel, Konstantin Herrmann, Ken Rummeny, Ernst J. Wester, Hans-Jürgen Schwaiger, Markus Nekolla, Stephan G. Beer, Ambros J. |
author_sort | Metz, Stephan |
collection | PubMed |
description | OBJECTIVES: Diffusion-weighted magnetic resonance imaging (DW-MRI) and imaging of glucose metabolism by positron emission tomography (FDG-PET) provide quantitative information on tissue characteristics. Combining the two methods might provide novel insights into tumor heterogeneity and biology. Here, we present a solution to analyze and visualize the relationship between the apparent diffusion coefficient (ADC) and glucose metabolism on a spatially resolved voxel-by-voxel basis using dedicated quantitative software. MATERIALS AND METHODS: In 12 patients with non small cell lung cancer (NSCLC), the primary tumor or metastases were examined with DW-MRI and PET using (18)F-fluorodeoxyglucose (FDG). The ADC’s from DW-MRI were correlated with standardized-uptake-values on a voxel-by-voxel basis using custom made software (Anima M(3)P). For cluster analysis, we used prospectively defined thresholds for (18)F-FDG and ADC to define tumor areas of different biological activity. RESULTS: Combined analysis and visualization of ADC maps and PET data was feasible in all patients. Spatial analysis showed relatively homogeneous ADC values over the entire tumor area, whereas FDG showed a decreasing uptake towards the tumor center. As expected, restricted water diffusivity was notable in areas with high glucose metabolism but was also found in areas with lower glucose metabolism. In detail, 72% of all voxels showed low ADC values (<1.5x10(-3) mm(2)/s) and high tracer uptake of (18)F-FDG (SUV>3.6). However, 83% of the voxels with low FDG uptake also showed low ADC values, increasingly towards the tumor center. CONCLUSIONS: Multiparametric analysis and visualization of DW-MRI and FDG-PET is feasible on a spatially resolved voxel-by-voxel respectively cluster basis using dedicated imaging software. Our preliminary data suggest that water diffusivity and glucose metabolism in metastatic NSCLC are not necessarily correlated in all tumor areas. |
format | Online Article Text |
id | pubmed-4506136 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45061362015-07-23 Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis Metz, Stephan Ganter, Carl Lorenzen, Sylvie van Marwick, Sandra Holzapfel, Konstantin Herrmann, Ken Rummeny, Ernst J. Wester, Hans-Jürgen Schwaiger, Markus Nekolla, Stephan G. Beer, Ambros J. PLoS One Research Article OBJECTIVES: Diffusion-weighted magnetic resonance imaging (DW-MRI) and imaging of glucose metabolism by positron emission tomography (FDG-PET) provide quantitative information on tissue characteristics. Combining the two methods might provide novel insights into tumor heterogeneity and biology. Here, we present a solution to analyze and visualize the relationship between the apparent diffusion coefficient (ADC) and glucose metabolism on a spatially resolved voxel-by-voxel basis using dedicated quantitative software. MATERIALS AND METHODS: In 12 patients with non small cell lung cancer (NSCLC), the primary tumor or metastases were examined with DW-MRI and PET using (18)F-fluorodeoxyglucose (FDG). The ADC’s from DW-MRI were correlated with standardized-uptake-values on a voxel-by-voxel basis using custom made software (Anima M(3)P). For cluster analysis, we used prospectively defined thresholds for (18)F-FDG and ADC to define tumor areas of different biological activity. RESULTS: Combined analysis and visualization of ADC maps and PET data was feasible in all patients. Spatial analysis showed relatively homogeneous ADC values over the entire tumor area, whereas FDG showed a decreasing uptake towards the tumor center. As expected, restricted water diffusivity was notable in areas with high glucose metabolism but was also found in areas with lower glucose metabolism. In detail, 72% of all voxels showed low ADC values (<1.5x10(-3) mm(2)/s) and high tracer uptake of (18)F-FDG (SUV>3.6). However, 83% of the voxels with low FDG uptake also showed low ADC values, increasingly towards the tumor center. CONCLUSIONS: Multiparametric analysis and visualization of DW-MRI and FDG-PET is feasible on a spatially resolved voxel-by-voxel respectively cluster basis using dedicated imaging software. Our preliminary data suggest that water diffusivity and glucose metabolism in metastatic NSCLC are not necessarily correlated in all tumor areas. Public Library of Science 2015-07-17 /pmc/articles/PMC4506136/ /pubmed/26186719 http://dx.doi.org/10.1371/journal.pone.0132386 Text en © 2015 Metz et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Metz, Stephan Ganter, Carl Lorenzen, Sylvie van Marwick, Sandra Holzapfel, Konstantin Herrmann, Ken Rummeny, Ernst J. Wester, Hans-Jürgen Schwaiger, Markus Nekolla, Stephan G. Beer, Ambros J. Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis |
title | Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis |
title_full | Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis |
title_fullStr | Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis |
title_full_unstemmed | Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis |
title_short | Multiparametric MR and PET Imaging of Intratumoral Biological Heterogeneity in Patients with Metastatic Lung Cancer Using Voxel-by-Voxel Analysis |
title_sort | multiparametric mr and pet imaging of intratumoral biological heterogeneity in patients with metastatic lung cancer using voxel-by-voxel analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4506136/ https://www.ncbi.nlm.nih.gov/pubmed/26186719 http://dx.doi.org/10.1371/journal.pone.0132386 |
work_keys_str_mv | AT metzstephan multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT gantercarl multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT lorenzensylvie multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT vanmarwicksandra multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT holzapfelkonstantin multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT herrmannken multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT rummenyernstj multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT westerhansjurgen multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT schwaigermarkus multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT nekollastephang multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis AT beerambrosj multiparametricmrandpetimagingofintratumoralbiologicalheterogeneityinpatientswithmetastaticlungcancerusingvoxelbyvoxelanalysis |