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Altaf A, Shakir M, Malik MJA, Arif A, Islam O, Mubarak F, Knopp E, Siddiqui K, Enam SA. Intraoperative use of low-field magnetic resonance imaging for brain tumors: A systematic review. Surg Neurol Int 2023; 14:357. [PMID: 37941620 PMCID: PMC10629339 DOI: 10.25259/sni_510_2023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Accepted: 09/11/2023] [Indexed: 10/10/2023] Open
Abstract
Background Low-field magnetic resonance imaging (LF-MRI) has become a valuable tool in the diagnosis of brain tumors due to its high spatial resolution and ability to acquire images in a short amount of time. However, the use of LF-MRI for intraoperative imaging during brain tumor surgeries has not been extensively studied. The aim of this systematic review is to investigate the impact of low-field intraoperative magnetic resonance imaging (LF-IMRI) on the duration of brain tumor surgery and the extent of tumor resection. Methods A comprehensive literature search was conducted using PubMed, Scopus, and Google Scholar from February 2000 to December 2022. The studies were selected based on the inclusion criteria and reviewed independently by two reviewers. The gathered information was organized and analyzed using Excel. Results Our review of 21 articles found that low-field intraoperative MRI (LF-IMRI) with a field below 0.3T was used in most of the studies, specifically 15 studies used 0.15T LF-IMRI. The T1-weighted sequence was the most frequently reported, and the average scanning time was 24.26 min. The majority of the studies reported a positive impact of LF-IMRI on the extent of tumor resection, with an increase ranging from 11% to 52.5%. Notably, there were no studies describing the use of ultra-low-field (ULF) intraoperative MRI. Conclusion The results of this systematic review will aid neurosurgeons and neuroradiologists in making informed decisions about the use of LF-MRI in brain tumor surgeries. Further, research is needed to fully understand the impact of LF-MRI in brain tumor surgeries and to optimize its use in the clinical setting. There is an opportunity to study the utility of ULF-MRI in brain tumor surgeries.
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Affiliation(s)
- Ahmed Altaf
- Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan
| | - Muhammad Shakir
- Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan
| | | | - Aabiya Arif
- Medical School of Ziauddin University, Karachi, Sindh, Pakistan
| | - Omar Islam
- Department of Diagnostic Radiology, Kingston Health Sciences Centre Kingston General Hospital, Ontario, Canada
| | - Fatima Mubarak
- Department of Radiology, Aga Khan University Hospital, Karachi, Sindh, Pakistan
| | - Eddie Knopp
- Hyperfine, Inc., Guilford, Connecticut, United States
| | - Khan Siddiqui
- Hyperfine, Inc., Guilford, Connecticut, United States
| | - S. Ather Enam
- Department of Surgery, Section of Neurosurgery, Aga Khan University Hospital, Karachi, Pakistan
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Lang ML, Zhang Q, Chen X, Yan N, Zhu H, Martin M, Yu F, Niu C, Zhang G, Zeng Q. First ground-based, high-field, cryogen-free, mobile intraoperative magnetic resonance imaging system. Magn Reson Imaging 2023; 99:34-40. [PMID: 36702168 DOI: 10.1016/j.mri.2023.01.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 10/19/2022] [Accepted: 01/14/2023] [Indexed: 01/25/2023]
Abstract
BACKGROUND/OBJECTIVE Accurately targeting specific regions of interest in the brain is pivotal for the success of neurosurgical procedures. For example, the outcome of brain tumor resection is improved dramatically when surgeons are better able to define surgical borders. Intraoperative magnetic resonance imaging (iMRI) helps reduce the risk of damaging critical areas of the brain and makes it possible to confirm a successful resection or determine the need for further resection prior to closing a patient's head and finalizing the surgery. Here we present a ground-based, iMRI system with a mobile 1-T cryogen-free imager. METHODS An ex-vivo experimental test of the novel iMRI system is performed to demonstrate preoperative and intraoperative imaging. RESULTS The ground-based, mobile iMRI system presented here was successfully used to obtain intraoperative MR images without moving the imaging target or compromising conventional surgical techniques. CONCLUSION The success of this experiment constitutes a major milestone towards the installation of a ground-based, high-field, mobile iMRI system in a hospital setting.
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Affiliation(s)
- Michael L Lang
- Department of Physics, University of Winnipeg, 515 Portage Ave, Winnipeg, Manitoba, Canada; Sino Canada Health Institute Inc., Winnipeg, Manitoba, Canada
| | - Qiang Zhang
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China; Physical Examination Center of The Affiliated Hospital of Inner Mongolia Medical University, Hohhot, Inner Mongolia 010010, China
| | - Xiaolei Chen
- Department of Neurosurgery, Chinese PLA General Hospital, Beijing 100853, China
| | - Niandong Yan
- Hubei Key Laboratory of Intelligent Conveying Technology and Device, Hubei Polytechnic University, Huangshi 435003, China
| | - Haoqin Zhu
- Sino Canada Health Institute Inc., Winnipeg, Manitoba, Canada
| | - Melanie Martin
- Department of Physics, University of Winnipeg, 515 Portage Ave, Winnipeg, Manitoba, Canada; Brain Engineering Centre, Anhui University, Hefei, China
| | - Feng Yu
- Hubei Key Laboratory of Intelligent Conveying Technology and Device, Hubei Polytechnic University, Huangshi 435003, China
| | - Chaoshi Niu
- Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, Anhui Province, China
| | - Gong Zhang
- Department of Physics, University of Winnipeg, 515 Portage Ave, Winnipeg, Manitoba, Canada; Anhui University of Science and Technology, Huainan 232001, China.
| | - Qiang Zeng
- Health Management Institute, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, 28 Fuxing Road, Beijing 100853, China
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