Automatic analysis of cellularity in glioblastoma and correlation with ADC using trajectory analysis and automatic nuclei counting
Objective Several studies have analyzed a correlation between the apparent diffusion coefficient (ADC) derived from diffusion-weighted MRI and the tumor cellularity of corresponding histopathological specimens in brain tumors with inconclusive findings. Here, we compared a large dataset of ADC and c...
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| Hauptverfasser: | , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
July 28, 2016
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| In: |
PLOS ONE
Year: 2016, Jahrgang: 11, Heft: 7 |
| ISSN: | 1932-6203 |
| DOI: | 10.1371/journal.pone.0160250 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1371/journal.pone.0160250 Verlag, Volltext: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0160250 
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| Verfasserangaben: | Oliver Eidel, Jan-Oliver Neumann, Sina Burth, Pascal J. Kieslich, Christine Jungk, Felix Sahm, Philipp Kickingereder, Karl Kiening, Andreas Unterberg, Wolfgang Wick, Heinz-Peter Schlemmer, Martin Bendszus, Alexander Radbruch |
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| 245 | 1 | 0 | |a Automatic analysis of cellularity in glioblastoma and correlation with ADC using trajectory analysis and automatic nuclei counting |c Oliver Eidel, Jan-Oliver Neumann, Sina Burth, Pascal J. Kieslich, Christine Jungk, Felix Sahm, Philipp Kickingereder, Karl Kiening, Andreas Unterberg, Wolfgang Wick, Heinz-Peter Schlemmer, Martin Bendszus, Alexander Radbruch |
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| 520 | |a Objective Several studies have analyzed a correlation between the apparent diffusion coefficient (ADC) derived from diffusion-weighted MRI and the tumor cellularity of corresponding histopathological specimens in brain tumors with inconclusive findings. Here, we compared a large dataset of ADC and cellularity values of stereotactic biopsies of glioblastoma patients using a new postprocessing approach including trajectory analysis and automatic nuclei counting. Materials and Methods Thirty-seven patients with newly diagnosed glioblastomas were enrolled in this study. ADC maps were acquired preoperatively at 3T and coregistered to the intraoperative MRI that contained the coordinates of the biopsy trajectory. 561 biopsy specimens were obtained; corresponding cellularity was calculated by semi-automatic nuclei counting and correlated to the respective preoperative ADC values along the stereotactic biopsy trajectory which included areas of T1-contrast-enhancement and necrosis. Results There was a weak to moderate inverse correlation between ADC and cellularity in glioblastomas that varied depending on the approach towards statistical analysis: for mean values per patient, Spearman’s ρ = -0.48 (p = 0.002), for all trajectory values in one joint analysis Spearman’s ρ = -0.32 (p < 0.001). The inverse correlation was additionally verified by a linear mixed model. Conclusions Our data confirms a previously reported inverse correlation between ADC and tumor cellularity. However, the correlation in the current article is weaker than the pooled correlation of comparable previous studies. Hence, besides cell density, other factors, such as necrosis and edema might influence ADC values in glioblastomas. | ||
| 650 | 4 | |a Adenocarcinomas | |
| 650 | 4 | |a Biopsy | |
| 650 | 4 | |a Diffusion weighted imaging | |
| 650 | 4 | |a Extracellular matrix | |
| 650 | 4 | |a Functional magnetic resonance imaging | |
| 650 | 4 | |a Glioblastoma multiforme | |
| 650 | 4 | |a Magnetic resonance imaging | |
| 650 | 4 | |a Necrosis | |
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