Diffusion model comparison identifies distinct tumor sub-regions and tracks treatment response
AuthorsMcHugh, Damien J
Hubbard, Cristinacce PL
O'Connor, James P B
AffiliationQuantitative Biomedical Imaging Laboratory, The University of Manchester, Manchester
MetadataShow full item record
AbstractPURPOSE: MRI biomarkers of tumor response to treatment are typically obtained from parameters derived from a model applied to pre-treatment and post-treatment data. However, as tumors are spatially and temporally heterogeneous, different models may be necessary in different tumor regions, and model suitability may change over time. This work evaluates how the suitability of two diffusion-weighted (DW) MRI models varies spatially within tumors at the voxel level and in response to radiotherapy, potentially allowing inference of qualitatively different tumor microenvironments. METHODS: DW-MRI data were acquired in CT26 subcutaneous allografts before and after radiotherapy. Restricted and time-independent diffusion models were compared, with regions well-described by the former hypothesized to reflect cellular tissue, and those well-described by the latter expected to reflect necrosis or oedema. Technical and biological validation of the percentage of tissue described by the restricted diffusion microstructural model (termed %MM) was performed through simulations and histological comparison. RESULTS: Spatial and radiotherapy-related variation in model suitability was observed. %MM decreased from a mean of 64% at baseline to 44% 6 days post-radiotherapy in the treated group. %MM correlated negatively with the percentage of necrosis from histology, but overestimated it due to noise. Within MM regions, microstructural parameters were sensitive to radiotherapy-induced changes. CONCLUSIONS: There is spatial and radiotherapy-related variation in different models' suitability for describing diffusion in tumor tissue, suggesting the presence of different and changing tumor sub-regions. The biological and technical validation of the proposed %MM cancer imaging biomarker suggests it correlates with, but overestimates, the percentage of necrosis.
CitationMcHugh DJ, Lipowska-Bhalla G, Babur M, Watson Y, Peset I, Mistry HB, et al. Diffusion model comparison identifies distinct tumor sub-regions and tracks treatment response. Magn Reson Med. 2020.
JournalMagnetic Resonance in Medicine
- Diffusion weighted magnetic resonance imaging (DW-MRI) as a non-invasive, tissue cellularity marker to monitor cancer treatment response.
- Authors: Fliedner FP, Engel TB, El-Ali HH, Hansen AE, Kjaer A
- Issue date: 2020 Feb 19
- Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure?
- Authors: Yu Q, Reutens D, Vegh V
- Issue date: 2018 Jul 15
- Towards microstructure fingerprinting: Estimation of tissue properties from a dictionary of Monte Carlo diffusion MRI simulations.
- Authors: Rensonnet G, Scherrer B, Girard G, Jankovski A, Warfield SK, Macq B, Thiran JP, Taquet M
- Issue date: 2019 Jan 1
- Double Diffusion Encoding for Probing Radiation-Induced Microstructural Changes in a Tumor Model: A Proof-of-Concept Study With Comparison to the Apparent Diffusion Coefficient and Histology.
- Authors: Duchêne G, Abarca-Quinones J, Feza-Bingi N, Leclercq I, Duprez T, Peeters F
- Issue date: 2020 Sep
- Distortion-free diffusion MRI using an MRI-guided Tri-Cobalt 60 radiotherapy system: Sequence verification and preliminary clinical experience.
- Authors: Gao Y, Han F, Zhou Z, Cao M, Kaprealian T, Kamrava M, Wang C, Neylon J, Low DA, Yang Y, Hu P
- Issue date: 2017 Oct