Intraoperative use of low-field magnetic resonance imaging for brain tumors: A systematic review

Ahmed Altaf1, Muhammad Shakir1, Muhammad Jawad Amin Malik2

  • 1Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan.

PubMed
Abstract

Insights

Low-field intraoperative MRI (LF-IMRI) enhances brain tumor resection extent by 11-52.5% and aids surgical decisions. Further research, including ultra-low-field MRI, is recommended for optimization.

Area of Science:

  • Neurosurgery
  • Radiology
  • Medical Imaging

Background:

  • Low-field magnetic resonance imaging (LF-MRI) offers high spatial resolution and rapid imaging for brain tumor diagnosis.
  • Intraoperative application of LF-MRI (LF-IMRI) in brain tumor surgery remains under-investigated.
  • This systematic review assesses LF-IMRI's impact on brain tumor surgery duration and tumor resection extent.

Purpose of the Study:

  • To systematically review the impact of low-field intraoperative MRI (LF-IMRI) on brain tumor surgery duration.
  • To evaluate LF-IMRI's effect on the extent of tumor resection during brain tumor surgeries.
  • To identify research gaps, such as the use of ultra-low-field (ULF) intraoperative MRI.

Main Methods:

  • A comprehensive literature search was performed across PubMed, Scopus, and Google Scholar (February 2000 - December 2022).
  • Studies were selected based on predefined inclusion criteria and independently reviewed by two researchers.
  • Data extraction and analysis were conducted using Microsoft Excel.

Main Results:

  • Twenty-one articles were reviewed, predominantly using LF-IMRI below 0.3T, with 0.15T being the most common field strength (15 studies).
  • The T1-weighted sequence was most frequently utilized, with an average scanning time of 24.26 minutes.
  • A majority of studies reported improved extent of tumor resection, ranging from an 11% to 52.5% increase, with no studies utilizing ULF-IMRI.

Conclusions:

  • LF-IMRI positively influences the extent of tumor resection in brain tumor surgeries.
  • Findings can guide neurosurgeons and neuroradiologists in clinical decision-making regarding LF-IMRI use.
  • Further research is warranted to optimize LF-IMRI and explore the potential of ULF-IMRI in neurosurgery.

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