TY - JOUR
T1 - Assessing the Validity of Diffusion Weighted Imaging Models
T2 - A Study in Patients with Post-Surgical Lower-Grade Glioma
AU - van der Hoorn, Anouk
AU - Manusiwa, Lesley E.
AU - van der Weide, Hiske L.
AU - Sinnige, Peter F.
AU - Huitema, Rients B.
AU - Brouwer, Charlotte L.
AU - Klos, Justyna
AU - Borra, Ronald J.H.
AU - Dierckx, Rudi A.J.O.
AU - Rakers, Sandra E.
AU - Buunk, Anne M.
AU - Spikman, Joke M.
AU - Renken, Remco J.
AU - Bosma, Ingeborg
AU - Enting, Roelien H.
AU - Kramer, Miranda C.A.
AU - van der Weijden, Chris W.J.
N1 - Publisher Copyright:
© 2025 by the authors.
PY - 2025/1
Y1 - 2025/1
N2 - Background: Diffusion weighted imaging (DWI) is used for monitoring purposes for lower-grade glioma (LGG). While the apparent diffusion coefficient (ADC) is clinically used, various DWI models have been developed to better understand the micro-environment. However, the validity of these models and how they relate to each other is currently unknown. Therefore, this study assesses the validity and agreement of these models.Methods: Fourteen post-treatment LGG patients and six healthy controls (HC) underwent DWI MRI on a 3T MRI scanner. DWI processing included diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), white matter tract integrity (WMTI), neurite orientation dispersion and density imaging (NODDI), and fixel-based analysis (FBA). Validity was assessed by delineating surgical cavity, peri-surgical cavity, and normal-appearing white matter (NAWM) in LGG patients, and white matter (WM) in HC. Spearman correlation assessed the agreement between DWI parameters.Results: All obtained parameters differed significantly across tissue types. Remarkably, WMTI showed that intra-axonal diffusivity was high in the surgical cavity and low in NAWM and WM. Most DWI parameters correlated well with each other, except for WMTI-derived intra-axonal diffusivity.Conclusion: This study shows that all parameters relevant for tumour monitoring and DWI-derived parameters for axonal fibre-bundle integrity (except WMTI-IAS-Da) could be used interchangeably, enhancing inter-DWI model interpretability.
AB - Background: Diffusion weighted imaging (DWI) is used for monitoring purposes for lower-grade glioma (LGG). While the apparent diffusion coefficient (ADC) is clinically used, various DWI models have been developed to better understand the micro-environment. However, the validity of these models and how they relate to each other is currently unknown. Therefore, this study assesses the validity and agreement of these models.Methods: Fourteen post-treatment LGG patients and six healthy controls (HC) underwent DWI MRI on a 3T MRI scanner. DWI processing included diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), white matter tract integrity (WMTI), neurite orientation dispersion and density imaging (NODDI), and fixel-based analysis (FBA). Validity was assessed by delineating surgical cavity, peri-surgical cavity, and normal-appearing white matter (NAWM) in LGG patients, and white matter (WM) in HC. Spearman correlation assessed the agreement between DWI parameters.Results: All obtained parameters differed significantly across tissue types. Remarkably, WMTI showed that intra-axonal diffusivity was high in the surgical cavity and low in NAWM and WM. Most DWI parameters correlated well with each other, except for WMTI-derived intra-axonal diffusivity.Conclusion: This study shows that all parameters relevant for tumour monitoring and DWI-derived parameters for axonal fibre-bundle integrity (except WMTI-IAS-Da) could be used interchangeably, enhancing inter-DWI model interpretability.
KW - diffusion kurtosis imaging
KW - diffusion tensor imaging
KW - fixel-based analysis
KW - neurite orientation dispersion and density imaging
KW - white matter tract integrity
UR - http://www.scopus.com/inward/record.url?scp=85216102515&partnerID=8YFLogxK
U2 - 10.3390/jcm14020551
DO - 10.3390/jcm14020551
M3 - Article
C2 - 39860562
SN - 2077-0383
VL - 14
JO - Journal of Clinical Medicine
JF - Journal of Clinical Medicine
IS - 2
M1 - 551
ER -