Ultrashort Echo Time (UTE) Spiral-VIBE MRI for Lung Nodule Detection and Radiomics Feature Stability Assessment

Motivation: This study aims to assess the efficacy of UTE-MRI in detecting lung nodules compared to CT and to evaluate the stability of radiomics features, along with the factors influencing them. Goal(s): Through the advancement of UTE scanning technology, we strive to enable MRI to achieve lung nodule detection capability and stability on par with CT. Approach: To facilitate the clinical integration of UTE technology for lung diseases, UTE scanning was conducted on patients presenting with lung nodules. Results: UTE-MRI demonstrates a high detection rate for lung nodules larger than 6 mm, and it exhibits a high level of stability in radiomics features. Impact: Our study shows UTE showcasing a remarkable ability to detect lung nodules larger than 6 mm and maintain consistent radiomics features across repeated scans. UTE holds potential as a radiation-reducing alternative to CT for regularly monitored patients with lung nodules.

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/10.58530/2024/0841
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
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article

Ultrashort Echo Time (UTE) Spiral-VIBE MRI for Lung Nodule Detection and Radiomics Feature Stability Assessment

Yunzhu Wu, Thomas Benkert, Lei Cui, Xingshan Cao 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

Ultrashort Echo Time (UTE) Spiral-VIBE MRI for Lung Nodule Detection and Radiomics Feature Stability Assessment

Yunzhu Wu, Thomas Benkert, Lei Cui, Xingshan Cao, Rui Li
article en

Abstract

Motivation: This study aims to assess the efficacy of UTE-MRI in detecting lung nodules compared to CT and to evaluate the stability of radiomics features, along with the factors influencing them. Goal(s): Through the advancement of UTE scanning technology, we strive to enable MRI to achieve lung nodule detection capability and stability on par with CT. Approach: To facilitate the clinical integration of UTE technology for lung diseases, UTE scanning was conducted on patients presenting with lung nodules. Results: UTE-MRI demonstrates a high detection rate for lung nodules larger than 6 mm, and it exhibits a high level of stability in radiomics features. Impact: Our study shows UTE showcasing a remarkable ability to detect lung nodules larger than 6 mm and maintain consistent radiomics features across repeated scans. UTE holds potential as a radiation-reducing alternative to CT for regularly monitored patients with lung nodules.

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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Radiomics and Machine Learning in Medical Imaging
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Ultrashort Echo Time (UTE) Spiral-VIBE MRI for Lung Nodule Detection and Radiomics Feature Stability Assessment — Yunzhu Wu, Thomas Benkert, 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