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Open Access 01-07-2015 | Magnetic Resonance

Modelling DW-MRI data from primary and metastatic ovarian tumours

Authors: Jessica M. Winfield, Nandita M. deSouza, Andrew N. Priest, Jennifer C. Wakefield, Charlotte Hodgkin, Susan Freeman, Matthew R. Orton, David J. Collins

Published in: European Radiology | Issue 7/2015

Abstract

Objectives

To assess goodness-of-fit and repeatability of mono-exponential, stretched exponential and bi-exponential models of diffusion-weighted MRI (DW-MRI) data in primary and metastatic ovarian cancer.

Methods

Thirty-nine primary and metastatic lesions from thirty-one patients with stage III or IV ovarian cancer were examined before and after chemotherapy using DW-MRI with ten diffusion-weightings. The data were fitted with (a) a mono-exponential model to give the apparent diffusion coefficient (ADC), (b) a stretched exponential model to give the distributed diffusion coefficient (DDC) and stretching parameter (α), and (c) a bi-exponential model to give the diffusion coefficient (D), perfusion fraction (f) and pseudodiffusion coefficient (D*).

Results

Coefficients of variation, established from repeated baseline measurements, were: ADC 3.1 %, DDC 4.3 %, α 7.0 %, D 13.2 %, f 44.0 %, D* 165.1 %. The bi-exponential model was unsuitable in these data owing to poor repeatability. After excluding the bi-exponential model, analysis using Akaike Information Criteria showed that the stretched exponential model provided the better fit to the majority of pixels in 64 % of lesions.

Conclusions

The stretched exponential model provides the optimal fit to DW-MRI data from ovarian, omental and peritoneal lesions and lymph nodes in pre-treatment and post-treatment measurements with good repeatability.

Key points

• DW-MRI data in ovarian cancer show deviation from mono-exponential behaviour

• Parameters derived from the stretched exponential model showed good repeatability (CV 7 %)

• The bi-exponential model was unsuitable because of poor parameter repeatability

• The stretched exponential model showed comparable repeatability to the mono-exponential model

• The extra parameter (α) provides scope for investigation of heterogeneity or response

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Title: Modelling DW-MRI data from primary and metastatic ovarian tumours
Authors: Jessica M. Winfield
Nandita M. deSouza
Andrew N. Priest
Jennifer C. Wakefield
Charlotte Hodgkin
Susan Freeman
Matthew R. Orton
David J. Collins
Publication date: 01-07-2015
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 7/2015
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-014-3573-3

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Modelling DW-MRI data from primary and metastatic ovarian tumours

Abstract

Objectives

Methods

Results

Conclusions

Key points

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objectives

Methods

Results

Conclusions

Key points

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