Skip to main content

A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations.

Publication ,  Journal Article
Joint Head and Neck Radiotherapy-MRI Development Cooperative,
Published in: Sci Rep
September 11, 2017

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) provides quantitative metrics (e.g. Ktrans, ve) via pharmacokinetic models. We tested inter-algorithm variability in these quantitative metrics with 11 published DCE-MRI algorithms, all implementing Tofts-Kermode or extended Tofts pharmacokinetic models. Digital reference objects (DROs) with known Ktrans and ve values were used to assess performance at varying noise levels. Additionally, DCE-MRI data from 15 head and neck squamous cell carcinoma patients over 3 time-points during chemoradiotherapy were used to ascertain Ktrans and ve kinetic trends across algorithms. Algorithms performed well (less than 3% average error) when no noise was present in the DRO. With noise, 87% of Ktrans and 84% of ve algorithm-DRO combinations were generally in the correct order. Low Krippendorff's alpha values showed that algorithms could not consistently classify patients as above or below the median for a given algorithm at each time point or for differences in values between time points. A majority of the algorithms produced a significant Spearman correlation in ve of the primary gross tumor volume with time. Algorithmic differences in Ktrans and ve values over time indicate limitations in combining/comparing data from distinct DCE-MRI model implementations. Careful cross-algorithm quality-assurance must be utilized as DCE-MRI results may not be interpretable using differing software.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

September 11, 2017

Volume

7

Issue

1

Start / End Page

11185

Location

England

Related Subject Headings

  • Models, Statistical
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Head and Neck Neoplasms
  • Contrast Media
  • Carcinoma, Squamous Cell
  • Algorithms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Joint Head and Neck Radiotherapy-MRI Development Cooperative, . (2017). A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Sci Rep, 7(1), 11185. https://doi.org/10.1038/s41598-017-11554-w
Joint Head and Neck Radiotherapy-MRI Development Cooperative, Hui-Sheng. “A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations.Sci Rep 7, no. 1 (September 11, 2017): 11185. https://doi.org/10.1038/s41598-017-11554-w.
Joint Head and Neck Radiotherapy-MRI Development Cooperative. A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Sci Rep. 2017 Sep 11;7(1):11185.
Joint Head and Neck Radiotherapy-MRI Development Cooperative, Hui-Sheng. “A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations.Sci Rep, vol. 7, no. 1, Sept. 2017, p. 11185. Pubmed, doi:10.1038/s41598-017-11554-w.
Joint Head and Neck Radiotherapy-MRI Development Cooperative. A Multi-Institutional Comparison of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Parameter Calculations. Sci Rep. 2017 Sep 11;7(1):11185.

Published In

Sci Rep

DOI

EISSN

2045-2322

Publication Date

September 11, 2017

Volume

7

Issue

1

Start / End Page

11185

Location

England

Related Subject Headings

  • Models, Statistical
  • Magnetic Resonance Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Head and Neck Neoplasms
  • Contrast Media
  • Carcinoma, Squamous Cell
  • Algorithms