Current State of Functional MRI in the Presurgical Planning of Brain Tumors.
Dhairya A LakhaniDavid S SabsevitzKaisorn L ChaichanaAlfredo Quiñones-HinojosaErik H MiddlebrooksPublished in: Radiology. Imaging cancer (2023)
Surgical resection of brain tumors is challenging because of the delicate balance between maximizing tumor removal and preserving vital brain functions. Functional MRI (fMRI) offers noninvasive preoperative mapping of widely distributed brain areas and is increasingly used in presurgical functional mapping. However, its impact on survival and functional outcomes is still not well-supported by evidence. Task-based fMRI (tb-fMRI) maps blood oxygen level-dependent (BOLD) signal changes during specific tasks, while resting-state fMRI (rs-fMRI) examines spontaneous brain activity. rs-fMRI may be useful for patients who cannot perform tasks, but its reliability is affected by tumor-induced changes, challenges in data processing, and noise. Validation studies comparing fMRI with direct cortical stimulation (DCS) show variable concordance, particularly for cognitive functions such as language; however, concordance for tb-fMRI is generally greater than that for rs-fMRI. Preoperative fMRI, in combination with MRI tractography and intraoperative DCS, may result in improved survival and extent of resection and reduced functional deficits. fMRI has the potential to guide surgical planning and help identify targets for intraoperative mapping, but there is currently limited prospective evidence of its impact on patient outcomes. This review describes the current state of fMRI for preoperative assessment in patients undergoing brain tumor resection. Keywords: MR-Functional Imaging, CNS, Brain/Brain Stem, Anatomy, Oncology, Functional MRI, Functional Anatomy, Task-based, Resting State, Surgical Planning, Brain Tumor © RSNA, 2023.
Keyphrases
- resting state
- functional connectivity
- patients undergoing
- high resolution
- magnetic resonance imaging
- palliative care
- traumatic brain injury
- magnetic resonance
- risk assessment
- mycobacterium tuberculosis
- computed tomography
- working memory
- machine learning
- climate change
- high density
- big data
- artificial intelligence
- white matter
- diabetic rats
- subarachnoid hemorrhage