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Results: 5

1.
Figure 5

Figure 5. From: Tumor Metabolism and Perfusion in Head and Neck Squamous Cell Carcinoma: Pretreatment Multimodality Imaging with 1H-Magnetic Resonance Spectroscopy, Dynamic Contrast-Enhanced MRI and 18F-FDG PET.

ROC curve constructed using the predicted probabilities of the logistic regression model for the obtained imaging parameters (significant predictors: std(Ktrans) and SUVmean). AUC: area under the curve.

Jacobus F.A. Jansen, et al. Int J Radiat Oncol Biol Phys. ;82(1):299-307.
2.
Figure 4

Figure 4. From: Tumor Metabolism and Perfusion in Head and Neck Squamous Cell Carcinoma: Pretreatment Multimodality Imaging with 1H-Magnetic Resonance Spectroscopy, Dynamic Contrast-Enhanced MRI and 18F-FDG PET.

Scatterplots displaying correlations between imaging measurements. (A) Cho/W concentrations (arbitrary units) as a function of 18F-FDG TLG values (mm3g/mL). (B) Cho/W concentrations (arbitrary units) as a function of std(kep) (min−1). (C) MRI tumor volume (mm3) as a function of SUVmax (g/mL).

Jacobus F.A. Jansen, et al. Int J Radiat Oncol Biol Phys. ;82(1):299-307.
3.
Figure 2

Figure 2. From: Tumor Metabolism and Perfusion in Head and Neck Squamous Cell Carcinoma: Pretreatment Multimodality Imaging with 1H-Magnetic Resonance Spectroscopy, Dynamic Contrast-Enhanced MRI and 18F-FDG PET.

(A) Localized 1H-MR spectrum from the node of patient 2. (B) LCModel analysis of the spectrum, highlighting the choline resonance. The in vivo spectrum (thin grey curve) has been estimated with the LCModel output (thick black curve), and the difference between these spectra (residue) is plotted at the top. tCho, choline; Lip/Lac, lipid and lactate resonances.

Jacobus F.A. Jansen, et al. Int J Radiat Oncol Biol Phys. ;82(1):299-307.
4.
Figure 3

Figure 3. From: Tumor Metabolism and Perfusion in Head and Neck Squamous Cell Carcinoma: Pretreatment Multimodality Imaging with 1H-Magnetic Resonance Spectroscopy, Dynamic Contrast-Enhanced MRI and 18F-FDG PET.

The DCE-MRI Gd-DTPA contrast uptake curve and calculated outcome measures for the node of patient 2. (A) DCE-MRI signal, converted into Gd-DTPA concentrations, as a function of acquisition time. The stars indicate the individual data points (averaged over the ROI), the thin black line is the fit, and the thick black line indicates the slope. (B) The corresponding distribution histogram plot for the DCE-MRI parameter Ktrans (in min−1).

Jacobus F.A. Jansen, et al. Int J Radiat Oncol Biol Phys. ;82(1):299-307.
5.
Figure 1

Figure 1. From: Tumor Metabolism and Perfusion in Head and Neck Squamous Cell Carcinoma: Pretreatment Multimodality Imaging with 1H-Magnetic Resonance Spectroscopy, Dynamic Contrast-Enhanced MRI and 18F-FDG PET.

Representative multiplanar MRI and 18F-FDG PET/CT images illustrating the right neck lymph node of patient 2 (male, 37 years old, primary nasopharyngeal cancer). (A) Coronal T1-weighted, (B) axial STIR with 1H-MRS voxel overlaid, and (C) axial T1-weighted postcontrast MR images showing the anatomy of the neck. The node is indicated with a white arrow in (A) and (C). The voxel of interest for 1H-MRS is indicated in red in (B). In (D) the corresponding 18F-FDG intensity map is shown overlaid on a CT, indicating 18F-FDG uptake in the node.

Jacobus F.A. Jansen, et al. Int J Radiat Oncol Biol Phys. ;82(1):299-307.

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