Brainstem lesion diagnostic Dilemma: The role of multiparametric magnetic resonance imaging

• Multiparametric MRI enhances differentiation of brainstem lesions. • 58% of indeterminate cases benefited from advanced imaging insights. • Multiparametric MRI accurately differentiates inflammatory and neoplastic lesions. • Non-invasive methods reduced the need for high-risk biopsies. • Combined techniques improved diagnostic accuracy for treatment guidance. Brainstem lesions pose a significant diagnostic challenge. The critical nature of the brainstem renders invasive biopsy difficult, often yielding inconclusive results. Multiparametric magnetic resonance imaging (MRI) is a useful addition to standard MRI sequences and can aid in the differentiation between neoplastic and non-neoplastic lesions. Although few studies have examined its utility for this purpose. Here we present our experience in characterising brainstem lesions using multiparametric MRI at a tertiary neurosciences centre. We retrospectively reviewed multiparametric MRI studies performed at our institution between 2015–2020. Brainstem lesion characterists on standard contrast-enhanced T1- and T2-weighted sequences, Dynamic Susceptibility Contrast (DSC) MRI, Diffusion Weighted Imaging (DWI), including Apparent Diffusion Co-efficient (ADC) maps, and MR spectroscopy were examined. Multiparametric MRI was performed on 560 patients, 31 (5.5%) of whom were assessed for indeterminate brainstem lesions. Of these, 18 (58%) provided useful additional diagnostic information to correctly differentiate neoplastic and inflammatory lesions. Cases of note include a low-grade glioma, non-enhancing high-grade glioma (transforming glioma), enhancing high-grade glioma, Bickerstaff encephalitis and neurosarcoidosis. Standard MRI sequences in combination with multiparametric data can provide an accurate and non-invasive means of differentiating between inflammatory and neoplastic brainstem lesions, potentially avoiding biopsy in some cases.

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Publication Details

Journal
Interdisciplinary Neurosurgery
Published
2025-03-26
DOI
https://doi.org/10.1016/j.inat.2025.102018
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

Brainstem lesion diagnostic Dilemma: The role of multiparametric magnetic resonance imaging

Benjamin Butler, Samer Al-Ali, Jane S. Herbert, Vijay Sawlani et al.
Interdisciplinary Neurosurgery
Glioma Diagnosis and Treatment
article

Brainstem lesion diagnostic Dilemma: The role of multiparametric magnetic resonance imaging

Benjamin Butler, Samer Al-Ali, Jane S. Herbert, Vijay Sawlani, Nigel P. Davies, Michael Bowen, Markand Patel, Xiangwen Li, Robert Flintham, Jhanvi Pravesh Sawlani
article en

Abstract

• Multiparametric MRI enhances differentiation of brainstem lesions. • 58% of indeterminate cases benefited from advanced imaging insights. • Multiparametric MRI accurately differentiates inflammatory and neoplastic lesions. • Non-invasive methods reduced the need for high-risk biopsies. • Combined techniques improved diagnostic accuracy for treatment guidance. Brainstem lesions pose a significant diagnostic challenge. The critical nature of the brainstem renders invasive biopsy difficult, often yielding inconclusive results. Multiparametric magnetic resonance imaging (MRI) is a useful addition to standard MRI sequences and can aid in the differentiation between neoplastic and non-neoplastic lesions. Although few studies have examined its utility for this purpose. Here we present our experience in characterising brainstem lesions using multiparametric MRI at a tertiary neurosciences centre. We retrospectively reviewed multiparametric MRI studies performed at our institution between 2015–2020. Brainstem lesion characterists on standard contrast-enhanced T1- and T2-weighted sequences, Dynamic Susceptibility Contrast (DSC) MRI, Diffusion Weighted Imaging (DWI), including Apparent Diffusion Co-efficient (ADC) maps, and MR spectroscopy were examined. Multiparametric MRI was performed on 560 patients, 31 (5.5%) of whom were assessed for indeterminate brainstem lesions. Of these, 18 (58%) provided useful additional diagnostic information to correctly differentiate neoplastic and inflammatory lesions. Cases of note include a low-grade glioma, non-enhancing high-grade glioma (transforming glioma), enhancing high-grade glioma, Bickerstaff encephalitis and neurosarcoidosis. Standard MRI sequences in combination with multiparametric data can provide an accurate and non-invasive means of differentiating between inflammatory and neoplastic brainstem lesions, potentially avoiding biopsy in some cases.

Interdisciplinary NeurosurgeryVol. 40
Fudan University (CN), NIHR Surgical Reconstruction and Microbiology Research Centre (GB), Huashan Hospital (CN), University of Birmingham (GB)
Openalex Percentile: Top 91%
Glioma Diagnosis and Treatment
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