Evidence map›Paper›PMID 42287586›Full record

ArticleMagma (New York, N.Y.)2026

Effects of echo time and modeling of compartmental T2 on VERDICT parameter estimation in brain tumors.

Lukas Lundholm, Oscar Jalnefjord, Mikael Montelius, Mats Laesser, Thomas Olsson Bontell, Alba Corell, Asgeir Store Jakola, Isabella Maria Björkman-Burtscher, Maria Ljungberg

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Article in Magma (New York, N.Y.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Lukas LundholmDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. lukas.lundholm@gu.se.ORCID http://orcid.org/0000-0003-4891-5907
Oscar JalnefjordDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Mikael MonteliusDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Mats LaesserDepartment of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Thomas Olsson BontellDepartment of Physiology, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Alba CorellDepartment of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Asgeir Store JakolaDepartment of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Isabella Maria Björkman-BurtscherDepartment of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Maria LjungbergDepartment of Medical Radiation Sciences, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVERDICT MRI leverages the diffusion time-dependence of the diffusion MRI signal to estimate microstructural parameters in tumors. However, estimated parameters may be biased due to differences in T2 relaxation times between microstructural compartments, which are often neglected in conventional modelling. This study investigates how choice of echo time affects the estimated parameters in brain tumors and evaluates the use of relaxation-VERDICT, which incorporates T2 relaxation into the model to potentially reduce estimation biases and improve tumor microstructure estimation.

methodsTen adult patients with intracranial tumors (mean age 57 years, range 32-78 years, 5 males) underwent diffusion MRI using a dual-echo acquisition with varying echo times, b-values, and diffusion times. VERDICT model fitting was performed using datasets with either a fixed echo time or a variable minimum echo time, and with models that either included or excluded compartment-specific T2 relaxation.

resultsOur results show that VERDICT parameter estimates vary significantly with the inclusion of T2 relaxation in the model, e.g. leading to a substantial increase of intracellular volume fraction. Estimated T2 relaxation was significantly shorter for the intracellular space (median 65 ms, IQR 60-70 ms) than for the extracellular space (median 246 ms, IQR 218-252 ms).

conclusionResults indicate that accounting for T2-related echo time effects is important for proper biophysical interpretation of estimated VERDICT parameters and may thereby improve diagnostic reliability for brain tumors.

Indexed as

Brain neoplasmsCell sizeDiffusion magnetic resonance imaging

Identifiers

PMID42287586

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