Radiomics of voxelwise DCE-MRI TIC profiles map enables quantifying temporal and spatial hemodynamic heterogeneity in breast lesions

Motivation: An effective approach that enables simultaneous quantification of spatial and temporal heterogeneity based on DCE-MRI is lacking. Goal(s): To develop a data-driven model-free approach to quantify spatial and temporal hemodynamic heterogeneity. Approach: We introduced radiomics analysis based on voxelwise mapping of DCE-MRI time-intensity-curve (TIC) profiles to quantify temporal and spatial hemodynamic heterogeneity and investigated its value in differentiating malignant and benign breast lesions. Results: Radiomics features and composition ratio of voxelwise TIC profiles showed good performance in differentiating malignant and benign breast lesions. Impact: We provide a novel data-driven model-free approach for visualizing and quantifying temporal and spatial hemodynamic heterogeneity simultaneously, which shows potential for a variety of clinical implications concerning individualized management of breast lesions.

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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/10.58530/2024/4603
Primary Topic
MRI in cancer diagnosis
Type
article
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article

Radiomics of voxelwise DCE-MRI TIC profiles map enables quantifying temporal and spatial hemodynamic heterogeneity in breast lesions

Bingyu Yao, Wei Cui, Qian Yang, Dehong Luo 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

Radiomics of voxelwise DCE-MRI TIC profiles map enables quantifying temporal and spatial hemodynamic heterogeneity in breast lesions

Bingyu Yao, Wei Cui, Qian Yang, Dehong Luo, Meng Sun, Ya Ren, Zhou Liu, Meng Wang, Na Zhang
article en

Abstract

Motivation: An effective approach that enables simultaneous quantification of spatial and temporal heterogeneity based on DCE-MRI is lacking. Goal(s): To develop a data-driven model-free approach to quantify spatial and temporal hemodynamic heterogeneity. Approach: We introduced radiomics analysis based on voxelwise mapping of DCE-MRI time-intensity-curve (TIC) profiles to quantify temporal and spatial hemodynamic heterogeneity and investigated its value in differentiating malignant and benign breast lesions. Results: Radiomics features and composition ratio of voxelwise TIC profiles showed good performance in differentiating malignant and benign breast lesions. Impact: We provide a novel data-driven model-free approach for visualizing and quantifying temporal and spatial hemodynamic heterogeneity simultaneously, which shows potential for a variety of clinical implications concerning individualized management of breast lesions.

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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