Prospective Comparison of Brain Tumor Detection and Characterization Using Post-contrast Dixon uT1RESS and MPRAGE at 3 Tesla

Motivation: Existing MRI sequences like magnetization-prepared rapid gradient echo (MPRAGE) may not adequately detect small metastatic lesions, hindering accurate diagnosis and treatment planning. Goal(s): Our goal was to compare the diagnostic performance of Dixon unbalanced T1 relaxation-enhanced steady-state (uT1RESS) with MPRAGE in patients with primary brain tumors and metastases at 3 Tesla. Approach: A prospective, single-center study evaluated image quality and lesion characterization using both techniques. Results: Dixon uT1RESS showed improved tumor-to-brain contrast and enhanced lesion visibility, particularly for small metastatic lesions, while maintaining high overall image quality. However, MPRAGE outperformed uT1RESS in assessing internal lesion structure. Impact: Dixon uT1RESS significantly improved the detection of small metastatic lesions and evaluation of vascular and dural involvement compared to MPRAGE. It may enhance tumor management in brain metastasis patients, though additional sequences might be needed to fully characterize enhancing 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
2025-09-16
DOI
https://doi.org/10.58530/2025/2386
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
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article

Prospective Comparison of Brain Tumor Detection and Characterization Using Post-contrast Dixon uT1RESS and MPRAGE at 3 Tesla

Ákos Varga‐Szemes, Dmitrij Kravchenko, M. Vecsey-Nagy, Mohamed Hagar 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
Radiomics and Machine Learning in Medical Imaging
article

Prospective Comparison of Brain Tumor Detection and Characterization Using Post-contrast Dixon uT1RESS and MPRAGE at 3 Tesla

Ákos Varga‐Szemes, Dmitrij Kravchenko, M. Vecsey-Nagy, Mohamed Hagar, Maria Vittoria Spampinato, J. G. Eernisse, Adrienn Tóth, Robert Edelman
article en

Abstract

Motivation: Existing MRI sequences like magnetization-prepared rapid gradient echo (MPRAGE) may not adequately detect small metastatic lesions, hindering accurate diagnosis and treatment planning. Goal(s): Our goal was to compare the diagnostic performance of Dixon unbalanced T1 relaxation-enhanced steady-state (uT1RESS) with MPRAGE in patients with primary brain tumors and metastases at 3 Tesla. Approach: A prospective, single-center study evaluated image quality and lesion characterization using both techniques. Results: Dixon uT1RESS showed improved tumor-to-brain contrast and enhanced lesion visibility, particularly for small metastatic lesions, while maintaining high overall image quality. However, MPRAGE outperformed uT1RESS in assessing internal lesion structure. Impact: Dixon uT1RESS significantly improved the detection of small metastatic lesions and evaluation of vascular and dural involvement compared to MPRAGE. It may enhance tumor management in brain metastasis patients, though additional sequences might be needed to fully characterize enhancing 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 65%
Radiomics and Machine Learning in Medical Imaging
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