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The utility of diffusion tensor imaging in the assessment of trigeminal neuralgia pathophysiology and clinical outcome: a systematic review.

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Title: The utility of diffusion tensor imaging in the assessment of trigeminal neuralgia pathophysiology and clinical outcome: a systematic review.
Authors: Marino, Salvatore (AUTHOR), Pambianco, Francesco (AUTHOR), Della Pepa, Giuseppe Maria (AUTHOR), Izzo, Alessandro (AUTHOR), D'Ercole, Manuela (AUTHOR), D'Alessandris, Quintino Giorgio (AUTHOR), Olivi, Alessandro (AUTHOR), Montano, Nicola (AUTHOR)
Source: Neurological Sciences. Jun2025, Vol. 46 Issue 6, p2539-2554. 16p.
Subjects: Diffusion tensor imaging, Trigeminal neuralgia, Cranial nerves, Demyelination, Treatment effectiveness
Abstract: Trigeminal neuralgia (TN) is a prevalent and debilitating condition. Despite significant advancements in the management of TN, its etiopathogenesis remains unclear, and predicting clinical outcomes following surgical or radiosurgical interventions continues to pose challenges. Diffusion tensor imaging (DTI) has emerged as a valuable tool in various neurosurgical domains, offering insights into the myelination, inflammation, and infiltration of neural fibers, including cranial nerves. Over the past two decades, numerous studies have sought to characterize DTI parameters in patients with TN. The present review aims to synthesize the current understanding of the utility of DTI in trigeminal neuralgia. In line with PRISMA-P guidelines, we therefore identified relevant studies reported in literature, and 28 papers were included. For each study reviewed, specific DTI parameters—namely fractional anisotropy (FA), apparent diffusion coefficient (ADC), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD)—were individually extracted, analyzed, and correlated with TN etiology and post-treatment clinical outcomes. We categorized results into two sections. In the first we examine the trends in DTI parameters across different subtypes of TN, including those with microvascular compression, without microvascular compression, and associated with demyelinating diseases. In the second we seek to highlight the key DTI features that may be predictive of more favorable clinical outcomes. [ABSTRACT FROM AUTHOR]
Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="JN" term="%22Neurological+Sciences%22">Neurological Sciences</searchLink>. Jun2025, Vol. 46 Issue 6, p2539-2554. 16p.
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  Data: Trigeminal neuralgia (TN) is a prevalent and debilitating condition. Despite significant advancements in the management of TN, its etiopathogenesis remains unclear, and predicting clinical outcomes following surgical or radiosurgical interventions continues to pose challenges. Diffusion tensor imaging (DTI) has emerged as a valuable tool in various neurosurgical domains, offering insights into the myelination, inflammation, and infiltration of neural fibers, including cranial nerves. Over the past two decades, numerous studies have sought to characterize DTI parameters in patients with TN. The present review aims to synthesize the current understanding of the utility of DTI in trigeminal neuralgia. In line with PRISMA-P guidelines, we therefore identified relevant studies reported in literature, and 28 papers were included. For each study reviewed, specific DTI parameters—namely fractional anisotropy (FA), apparent diffusion coefficient (ADC), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD)—were individually extracted, analyzed, and correlated with TN etiology and post-treatment clinical outcomes. We categorized results into two sections. In the first we examine the trends in DTI parameters across different subtypes of TN, including those with microvascular compression, without microvascular compression, and associated with demyelinating diseases. In the second we seek to highlight the key DTI features that may be predictive of more favorable clinical outcomes. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Neurological Sciences is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Jun2025
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