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Understanding Gliomas Through Advanced Imaging Techniques

New imaging methods reveal important insights into gliomas and their impact on brain function.

Gilbert Hangel, P. Lazen, C. Cadrien, S. Chambers, J. Furtner, L. Hingerl, B. Strasser, B. Kiesel, M. Mischkulnigg, M. Preusser, T. Roetzer-Pejrimovsky, A. Woehrer, W. Bogner, K. Roessler, S. Trattnig, G. Widhalm

― 6 min read


Revealing Glioma Insights Revealing Glioma Insights with 7T MRSI information on gliomas and seizures. Advanced imaging uncovers vital
Table of Contents

Diffuse Gliomas are a type of brain tumor that starts in glial cells, which support and protect the nerve cells in the brain. These Tumors are mostly cancerous and are known to be difficult to treat. One reason for this difficulty is their tendency to spread into the surrounding brain tissue, which makes it hard to remove them completely with surgery or to treat them with radiation. As a result, patients often experience severe effects, such as Seizures, and these tumors can be life-threatening.

In medical practice, doctors use structural MRI scans to understand how much the tumor has spread into nearby areas. This helps them remove as much as possible without harming healthy brain tissue. However, some cancer cells are not visible on MRI scans, which can lead to the tumor growing back after treatment.

As scientists have learned more about the biology of gliomas, they now use specific molecular markers to classify these tumors. In 2021, the World Health Organization listed different types of gliomas based on these markers. For example, there are classes called "astrocytoma, IDH-mutant," "oligodendroglioma, IDH-mutant, and 1p/19q-codeleted," and "glioblastoma, IDH-wildtype." One key marker involves mutations in the isocitrate dehydrogenase (IDH) gene, which affects the production of a substance called 2-hydroxyglutarate (2HG). Research into the role of 2HG in gliomas is ongoing, but it's not the only molecule of interest.

The Role of Glutamate and Glutamine

Glutamate, known as Glu, is a major neurotransmitter that helps transmit signals in the brain. However, glioma cells release large amounts of Glu, which can harm nearby healthy cells and even cause tissue death. Glioblastoma cells can move into healthy brain areas and connect with neurons, contributing to tumor growth. The way Glu interacts with other brain components appears to be tied to AMPA receptors and calcium signals in both tumor and brain cells. Similar changes have been noticed in another type of glioma called astrocytomas.

On the other hand, another substance, α-ketoglutarate (αKG), is significant in the production of 2HG in IDH-mutant tumors. In these cases, it can be produced from Glu. For IDH-wildtype tumors, αKG can be exchanged for cysteine (Cys), which relates to the increased toxic levels of Glu and also boosts the creation of an antioxidant called glutathione (GSH).

Glutamine, or Gln, is made from Glu and is important for neurons as it helps produce Glu and another neurotransmitter called gamma-aminobutyric acid (GABA). Tumor cells depend heavily on Gln for energy and processes needed for their growth. When glioma cells break down Gln, they not only release harmful Glu but also ammonia, which can lead to swelling and impair the ability of healthy brain cells to clear Glu, allowing the tumor to grow faster.

Gliomas and Seizures

Seizures are common in people with gliomas, often being the first sign of the disease. The release of Glu by cancer cells is a key factor in what's known as tumor-associated epilepsy (TAE). Research has indicated that higher levels of Glu in tumor and surrounding tissues are linked to preoperative seizures in patients.

Given these findings, measuring Glu and Gln levels in living patients may help in diagnosing and researching gliomas. Although both substances can be detected using a technique called magnetic resonance spectroscopy (MRS), they are close in chemical structure, making it hard to separate their signals. This means they are often reported together as Glx. MRS also has limitations in terms of signal clarity, scan time, and the detail of images produced. Despite these challenges, there has been limited research into Glu and Gln in gliomas.

Previous studies using 3 Tesla (3T) MRSI found differences in Glu and Gln ratios compared to normal brain tissue. For instance, tumors showed higher Glu and Gln levels, which correlated with tumor grade and patient survival rates. However, research investigating Glu and Gln in surrounding brain areas is still scarce due to the technical limitations of standard MRS methods.

Advances in Imaging Technology

A new technique using a 7 Tesla (7T) MRI scanner is making it possible to create detailed maps of brain chemistry in patients. This new method combines better signal clarity with faster imaging, allowing researchers to create three-dimensional chemical maps within just 15 minutes. Unlike the older methods, this 7T MRSI can separate and measure Glu and Gln individually, providing a clearer view of how these substances behave in tumors and the surrounding tissue.

Our goal was to take another look at previous high-resolution scans of glioma patients, focusing specifically on Glu and Gln. We aimed to find differences between tumor and surrounding areas and to see how these differences related to TAE and other tumor characteristics.

Study Overview

We studied 36 glioma patients with an average age of 52 years. The group included various glioma types, such as glioblastoma and astrocytomas. Before undergoing 7T MRI scans, all patients provided informed consent to participate in the study. We collected different types of MRI data, including contrast-enhanced scans to visualize the tumor better.

The MRSI scans were conducted using advanced techniques that allowed for clear imaging. We gathered data on various metabolites in the brain, including Glu, Gln, and total choline. The goal was to create maps that show how these substances are distributed in the tumor and surrounding tissues.

Analyzing the Data

After collecting data, we used statistical methods to analyze the differences in metabolite levels between tumor, surrounding tissue, and normal brain areas. We specifically looked for significant differences and relationships between the metabolites and various patient characteristics, such as age and tumor grade.

Findings

Our findings indicated clear differences in levels of Glu and Gln across different areas of the brain. Tumor areas generally had higher ratios of these substances compared to the surrounding tissue. We noted that Glu was often higher in tumors, while Gln levels showed significant changes in relation to tumor type and patient characteristics.

Interestingly, we found that the ratio of Glu to total choline was notably different between tumor and healthy tissues, suggesting that this could be a useful measure for assessing tumor activity. We also identified that Glu and Gln distributions can reveal important differences in tumor activity, particularly concerning how they relate to seizures and tumor properties.

Overall, our analysis provides new insights into the chemical landscape of gliomas, highlighting the potential of 7T MRSI to offer valuable information for diagnosis and treatment planning.

Conclusion

The study demonstrates that imaging techniques like 7T MRSI can provide a clearer picture of the metabolic activity in gliomas. By focusing on important substances like Glu and Gln, researchers can gain better insights into the nature of these tumors and their effects on the brain. This research opens doors for further studies aimed at improving our understanding of gliomas and developing better treatment strategies. Continued investigations using larger patient groups will help refine our knowledge about how gliomas behave. More efforts in this area could potentially lead to the development of new methods for diagnosis and treatment, benefiting future patients diagnosed with these challenging tumors.

Original Source

Title: Imaging of increased peritumoral glutamate and glutamine in gliomas using 7T MRSI

Abstract: ObjectivesDiffuse gliomas, due to their infiltrative properties, still lack effective treatment options. Recent research indicates that infiltration, malignancy, and symptoms such as epilepsy are related to synaptic connections between infiltrating glioma cells and cytotoxic levels of glutamate release. We previously showed that high-resolution 7T magnetic resonance spectroscopic imaging (MRSI) can resolve metabolic heterogeneities in gliomas. With this study, we evaluated 7T MRSI-derived glutamate (Gln) and glutamine (Glu) ratio maps for their use in defining infiltrative tumor activity in the peritumoral region. Materials and MethodsWe analyzed 7T MRSI scans of 36 patients with low- and high-grade gliomas. Within the visible tumor and a peritumoral shell, we calculated medians and Dice similarity coefficients (DSC) for nine metabolic ratios with and without hotspot thresholding and evaluated their correlation to and statistical significance between clinical parameters (e.g., tumor-associated epilepsy, IDH status, grade). ResultsThe Glu/tCr (total creatine) median was significantly higher in the peritumoral VOI (1.13) compared to the tumor (0.92) and normal-appearing white matter (NAWM, 0.87), while the Gln/tCr median was highest in the tumor (0.77, vs 0.44 peritumoral and 0.33 in NAWM, all significantly different). Glu/tCho (total choline) was significantly higher in the peritumor as well (3.44 vs 2.23 tumoral and 2.06 in NAWM). Peritumoral DSCs for Glu/tCr and Gln/tCr hotspots were comparable (0.53 to 0.51). Peritumoral Gln/Glu was significantly different between patients with and without tumor-associated epilepsy, and intratumoral (Glu+Gln)/tCr was significantly different between IDH mutation and wildtype. IDH mutation correlated negatively with the intratumoral (Glu+Gln)/tCr median (-0.53) and high grade correlated with intratumoral Glx/tNAA, Glx/tCr, and Gln/tCr medians (0.50/0.53/0.58). Conclusions7T MRSI can not only map relevant metabolic information in the structurally visible tumor volume, but also detect infiltration in the peritumoral area. Gln and Glu are candidates for the development of presurgical imaging and treatment monitoring.

Authors: Gilbert Hangel, P. Lazen, C. Cadrien, S. Chambers, J. Furtner, L. Hingerl, B. Strasser, B. Kiesel, M. Mischkulnigg, M. Preusser, T. Roetzer-Pejrimovsky, A. Woehrer, W. Bogner, K. Roessler, S. Trattnig, G. Widhalm

Last Update: 2024-10-28 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2024.10.25.24316010

Source PDF: https://www.medrxiv.org/content/10.1101/2024.10.25.24316010.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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