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Applications, limitations and advancements of ultra-low-field magnetic resonance imaging: A scoping review.
Altaf, Ahmed; Shakir, Muhammad; Irshad, Hammad Atif; Atif, Shiza; Kumari, Usha; Islam, Omar; Kimberly, W Taylor; Knopp, Edmond; Truwit, Chip; Siddiqui, Khan; Enam, S Ather.
Afiliación
  • Altaf A; Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Sindh, Pakistan.
  • Shakir M; Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Sindh, Pakistan.
  • Irshad HA; Medical College, Aga Khan University Hospital, Karachi, Sindh, Pakistan.
  • Atif S; Medical College, Aga Khan University Hospital, Karachi, Sindh, Pakistan.
  • Kumari U; Medical College, Peoples University of Medical and Health Sciences for Women, Karachi, Sindh, Pakistan.
  • Islam O; Department of Diagnostic Radiology, Queen's University, Kingston General Hospital, Kingston, Canada.
  • Kimberly WT; Department of Neurology, Massachusetts General Hospital, Boston, United States.
  • Knopp E; Hyperfine, Inc., Guilford, United States.
  • Truwit C; Hyperfine, Inc., Guilford, United States.
  • Siddiqui K; Hyperfine, Inc., Guilford, United States.
  • Enam SA; Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Sindh, Pakistan.
Surg Neurol Int ; 15: 218, 2024.
Article en En | MEDLINE | ID: mdl-38974534
ABSTRACT

Background:

Ultra-low-field magnetic resonance imaging (ULF-MRI) has emerged as an alternative with several portable clinical applications. This review aims to comprehensively explore its applications, potential limitations, technological advancements, and expert recommendations.

Methods:

A review of the literature was conducted across medical databases to identify relevant studies. Articles on clinical usage of ULF-MRI were included, and data regarding applications, limitations, and advancements were extracted. A total of 25 articles were included for qualitative analysis.

Results:

The review reveals ULF-MRI efficacy in intensive care settings and intraoperatively. Technological strides are evident through innovative reconstruction techniques and integration with machine learning approaches. Additional advantages include features such as portability, cost-effectiveness, reduced power requirements, and improved patient comfort. However, alongside these strengths, certain limitations of ULF-MRI were identified, including low signal-to-noise ratio, limited resolution and length of scanning sequences, as well as variety and absence of regulatory-approved contrast-enhanced imaging. Recommendations from experts emphasize optimizing imaging quality, including addressing signal-to-noise ratio (SNR) and resolution, decreasing the length of scan time, and expanding point-of-care magnetic resonance imaging availability.

Conclusion:

This review summarizes the potential of ULF-MRI. The technology's adaptability in intensive care unit settings and its diverse clinical and surgical applications, while accounting for SNR and resolution limitations, highlight its significance, especially in resource-limited settings. Technological advancements, alongside expert recommendations, pave the way for refining and expanding ULF-MRI's utility. However, adequate training is crucial for widespread utilization.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Surg Neurol Int Año: 2024 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Surg Neurol Int Año: 2024 Tipo del documento: Article País de afiliación: Pakistán Pais de publicación: Estados Unidos