1,563
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Voxelwise comparison of perfusion parameters estimated using dynamic contrast enhanced (DCE) computed tomography and DCE-magnetic resonance imaging in locally advanced cervical cancer

, , , , , , , , , & show all
Pages 1360-1368 | Received 03 May 2013, Accepted 06 Jun 2013, Published online: 05 Sep 2013

Figures & data

Figure 1. Parametric maps estimated by DCE-CT (top row) and the corresponding parametric maps estimated by DCE-MRI (bottom row) using the population-based AIF by Parker et al. [Citation16].

Figure 1. Parametric maps estimated by DCE-CT (top row) and the corresponding parametric maps estimated by DCE-MRI (bottom row) using the population-based AIF by Parker et al. [Citation16].

Figure 2. Bland-Altman plots (left) and corresponding scatter plots (right) for Ktrans and ve measured by CT and MRI (using the Parker AIF [Citation16]). The mean voxelwise differences, prediction interval and confidence interval is denoted in bold solid black, solid black and gray line, respectively.

Figure 2. Bland-Altman plots (left) and corresponding scatter plots (right) for Ktrans and ve measured by CT and MRI (using the Parker AIF [Citation16]). The mean voxelwise differences, prediction interval and confidence interval is denoted in bold solid black, solid black and gray line, respectively.

Table I. Comparison of DCE-CT and -MRI parameter estimates. (*) significant correlation.

Table II. Interpatient variation of AIF observables.

Figure 3. Example of Γ-analysis. A Γ-value > 1 fails the set criteria while Γ-value = 0 corresponds to perfect agreement between the two measures (A) shows the Γ-value using the criteria of 3 mm distance to agreement and 5% uncertainty (B) Γ-value using the criteria of 3 mm distance to agreement and 10% uncertainty. (C) Γ-value using the criteria of 3 mm distance to agreement and 15% uncertainty. (D) Ktrans map estimated using DCE-CT. (E) Ktrans map estimated using DCE-MRI and the Parker et al. AIF [Citation16]. (F) Γ-failure rates for the different tested criteria.

Figure 3. Example of Γ-analysis. A Γ-value > 1 fails the set criteria while Γ-value = 0 corresponds to perfect agreement between the two measures (A) shows the Γ-value using the criteria of 3 mm distance to agreement and 5% uncertainty (B) Γ-value using the criteria of 3 mm distance to agreement and 10% uncertainty. (C) Γ-value using the criteria of 3 mm distance to agreement and 15% uncertainty. (D) Ktrans map estimated using DCE-CT. (E) Ktrans map estimated using DCE-MRI and the Parker et al. AIF [Citation16]. (F) Γ-failure rates for the different tested criteria.

Figure 4. Box-plots for Γ-analysis comparing parametric maps derived using DCE-CT and DCE-MRI with the Parker AIF [Citation16]. The central mark is the median, the edges of the box are the 25th and 75th percentiles, and the range of the whiskers includes 99.3 percentiles of the data. ‘+’ denotes the outliers.

Figure 4. Box-plots for Γ-analysis comparing parametric maps derived using DCE-CT and DCE-MRI with the Parker AIF [Citation16]. The central mark is the median, the edges of the box are the 25th and 75th percentiles, and the range of the whiskers includes 99.3 percentiles of the data. ‘+’ denotes the outliers.
Supplemental material

Supplementary Table I and Supplementary Figures 1, 2

Download PDF (3.4 MB)

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.