Comparative value of free-breathing DCE-MRI based on GRASP and conventional BH-VIBE sequence in evaluating the image quality in lung cancer

Motivation: Dynamic Contrast Enhancement-CT (DCE-CT) and Dynamic Contrast Enhancement-MRI (DCE-MRI) are among the most valuable imaging techniques for the noninvasive assessment of tumor vascular perfusion and trophoblast angiogenesis in lung cancer. Goal(s): To evaluate the image quality value of free-breathing GRASP in MRI of lung cancer. Approach: All patients underwent free-breathing DCE-MRI with breath-holding VIBE sequence before and after contrast injections. Two experienced thoracic radiologists independently evaluated the overall image quality, lesion contour, artifact level, and diagnostic confidence using the patient's simultaneous CT images as a reference. Results: Free-breathing GRASP DCE-MRI technique is a reliable method for the high-resolution imaging of pulmonary lesions. Impact: The study showcases GRASP's superiority over BH-VIBE in lung cancer imaging, offering clearer results with patient comfort. This breakthrough prompts investigation into GRASP's broader clinical applications and sets a new standard in patient-friendly MRI diagnostics.

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/10.58530/2024/2765
Primary Topic
Advanced MRI Techniques and Applications
Type
article
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article

Comparative value of free-breathing DCE-MRI based on GRASP and conventional BH-VIBE sequence in evaluating the image quality in lung cancer

Jiang Yu, Junqiang Lei, Qing Yang, Mengxiao Liu
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
Advanced MRI Techniques and Applications
article

Comparative value of free-breathing DCE-MRI based on GRASP and conventional BH-VIBE sequence in evaluating the image quality in lung cancer

Jiang Yu, Junqiang Lei, Qing Yang, Mengxiao Liu
article en

Abstract

Motivation: Dynamic Contrast Enhancement-CT (DCE-CT) and Dynamic Contrast Enhancement-MRI (DCE-MRI) are among the most valuable imaging techniques for the noninvasive assessment of tumor vascular perfusion and trophoblast angiogenesis in lung cancer. Goal(s): To evaluate the image quality value of free-breathing GRASP in MRI of lung cancer. Approach: All patients underwent free-breathing DCE-MRI with breath-holding VIBE sequence before and after contrast injections. Two experienced thoracic radiologists independently evaluated the overall image quality, lesion contour, artifact level, and diagnostic confidence using the patient's simultaneous CT images as a reference. Results: Free-breathing GRASP DCE-MRI technique is a reliable method for the high-resolution imaging of pulmonary lesions. Impact: The study showcases GRASP's superiority over BH-VIBE in lung cancer imaging, offering clearer results with patient comfort. This breakthrough prompts investigation into GRASP's broader clinical applications and sets a new standard in patient-friendly MRI diagnostics.

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
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Openalex Percentile: Top 63%
Advanced MRI Techniques and Applications
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Comparative value of free-breathing DCE-MRI based on GRASP and conventional BH-VIBE sequence in evaluating the image quality in lung cancer — Jiang Yu, Junqiang Lei, 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 (2024) | TGRS Research Map | TGRS