Joint estimation of compartment-specific T2 relaxation and tumor microstructure using multi-TE IMPULSED MRI
- PMID: 39164611
- PMCID: PMC11518654
- DOI: 10.1002/mrm.30254
Joint estimation of compartment-specific T2 relaxation and tumor microstructure using multi-TE IMPULSED MRI
Abstract
Purpose: This study aims to assess how T2 heterogeneity biases IMPULSED-derived metrics of tissue microstructure in solid tumors and evaluate the potential of estimating multi-compartmental T2 and microstructural parameters simultaneously.
Methods: This study quantifies the impact of T2 relaxation on IMPULSED-derived microstructural parameters using computer simulations and in vivo multi-TE IMPULSED MRI in five tumor models, including brain, breast, prostate, melanoma, and colon cancer. A comprehensive T2 + IMPULSED method was developed to fit multi-compartmental T2 and microstructural parameters simultaneously. A Bayesian model selection approach was carried out voxel-wisely to determine if the T2 heterogeneity needs to be included in IMPULSED MRI in cancer.
Results: Simulations suggest that T2 heterogeneity has a minor effect on the estimation of d in tissues with intermediate or high cell density, but significantly biases the estimation of with low cell density. For the in vivo animal experiments, all IMPULSED metrics except are statistically independent on TE. For B16 tumors, the IMPULSED-derived exhibited a notable increase with longer TEs. For MDA-MB-231 tumors, IMPULSED-derived showed a significant increase with increasing TEs. The T2 + IMPULSED-derived of all five tumor models are consistently smaller than .
Conclusions: The findings from this study highlight two key observations: (i) TE has a negligible impact on IMPULSED-derived cell sizes, and (ii) the TE-dependence of IMPULSED-derived intracellular volume fractions used in T2 + IMPULSED modeling to estimate and . These insights contribute to the ongoing development and refinement of non-invasive MRI techniques for measuring cell sizes.
Keywords: IMPULSED; MET2; MRI cytometry; T2 relaxation; cancer; diffusion; oscillating gradient.
© 2024 The Author(s). Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine.
Similar articles
-
Improving Microstructural Estimation in Time-Dependent Diffusion MRI With a Bayesian Method.J Magn Reson Imaging. 2025 Feb;61(2):724-734. doi: 10.1002/jmri.29434. Epub 2024 May 20. J Magn Reson Imaging. 2025. PMID: 38769739
-
MTE-NODDI: Multi-TE NODDI for disentangling non-T2-weighted signal fractions from compartment-specific T2 relaxation times.Neuroimage. 2020 Aug 15;217:116906. doi: 10.1016/j.neuroimage.2020.116906. Epub 2020 May 7. Neuroimage. 2020. PMID: 32387626
-
Microstructural diffusion MRI for differentiation of breast tumors and prediction of prognostic factors in breast cancer.Front Oncol. 2025 Mar 5;15:1498691. doi: 10.3389/fonc.2025.1498691. eCollection 2025. Front Oncol. 2025. PMID: 40110196 Free PMC article.
-
Advanced Diffusion-Weighted MRI for Cancer Microstructure Assessment in Body Imaging, and Its Relationship With Histology.J Magn Reson Imaging. 2024 Oct;60(4):1278-1304. doi: 10.1002/jmri.29144. Epub 2023 Nov 30. J Magn Reson Imaging. 2024. PMID: 38032021 Review.
-
MR cell size imaging with temporal diffusion spectroscopy.Magn Reson Imaging. 2021 Apr;77:109-123. doi: 10.1016/j.mri.2020.12.010. Epub 2020 Dec 16. Magn Reson Imaging. 2021. PMID: 33338562 Free PMC article. Review.
Cited by
-
Noninvasive assessment of liver inflammation in metabolic dysfunction associated steatohepatitis using MR cytometry.Npj Imaging. 2025 May 3;3(1):17. doi: 10.1038/s44303-025-00080-4. Npj Imaging. 2025. PMID: 40603546 Free PMC article.
References
-
- Tobkes AI, Nord HJ. Liver biopsy: review of methodology and complications. Dig Dis 1995;13(5):267–274. - PubMed
MeSH terms
Grants and funding
LinkOut - more resources
Full Text Sources
Medical
Miscellaneous