Histology-informed biophysical diffusion MRI model selection for enhanced liver cancer immunotherapy assessment

Motivation: Multi-compartment liver diffusion MRI (dMRI) provides innovative markers of intra-cellular fraction (F) and cell size (CS). However, practical implementations for histologically-meaningful F and CS computation in the clinic are still sought. Goal(s): To deliver a compact approach for F and CS estimation, informing model design with histology. Approach: We compared 5 implementations of a standard two-compartment model for their ability to provide F and CS estimates that agree with reference biopsies in liver tumours. Results: The best approach consisted of fitting a single-compartment model of intra-cellular diffusion to high b-value images. This provides promising metrics that stratify the risk of progression in immunotherapy. Impact: We deliver a clinically-feasible liver diffusion MRI approach for intra-cellular fraction, cell size and density estimation. It consists of fitting a single-compartment model of restricted diffusion to high b-value images, and provides metrics that may inform on cancer immunotherapy response.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/0649
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
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article

Histology-informed biophysical diffusion MRI model selection for enhanced liver cancer immunotherapy assessment

María Vieito, Kinga Bernatowicz, Xavier Merino, Núria Rosón et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
MRI in cancer diagnosis
article

Histology-informed biophysical diffusion MRI model selection for enhanced liver cancer immunotherapy assessment

María Vieito, Kinga Bernatowicz, Xavier Merino, Núria Rosón, Raquel Pérez-López, Francesco Grussu, Carol A. Tozzi, Manuel Escobar, Garazi Serna, S. Simonetti, Elena Garralda, Marco Palombo, Richard Mast, Paolo Nucíforo, Juan Francisco Corral, Pablo García‐Polo García, Marta Vidorreta, Valezka Garay, Athanasios Grigoriou, R.D.A. Toledo, Anna Voronova
article en

Abstract

Motivation: Multi-compartment liver diffusion MRI (dMRI) provides innovative markers of intra-cellular fraction (F) and cell size (CS). However, practical implementations for histologically-meaningful F and CS computation in the clinic are still sought. Goal(s): To deliver a compact approach for F and CS estimation, informing model design with histology. Approach: We compared 5 implementations of a standard two-compartment model for their ability to provide F and CS estimates that agree with reference biopsies in liver tumours. Results: The best approach consisted of fitting a single-compartment model of intra-cellular diffusion to high b-value images. This provides promising metrics that stratify the risk of progression in immunotherapy. Impact: We deliver a clinically-feasible liver diffusion MRI approach for intra-cellular fraction, cell size and density estimation. It consists of fitting a single-compartment model of restricted diffusion to high b-value images, and provides metrics that may inform on cancer immunotherapy response.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 63%
MRI in cancer diagnosis
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