Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review

Chekhonin, Ivan V.; Cohen, Ouri; Otazo, Ricardo; Young, Robert J.; Holodny, Andrei I.; Pronin, Igor

doi:10.1177/19714009231173100

Cited by 3 publications

(2 citation statements)

References 69 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to ischemic stroke, quantitative hyperintensity on T2-weighted imaging due to intrinsic properties of water has been used to assess other neurological diseases such as peritumoral oedema, epilepsy and multiple sclerosis ( 56 , 57 ). T2-weighted or FLAIR imaging has been used to estimate lesion age, with DWI/FLAIR mismatch being suggestive of onset within 4.5 h ( 58 ).…”

Section: Tissue-based Propertiesmentioning

confidence: 99%

Novel advanced imaging techniques for cerebral oedema

Pham,

2024

Front. Neurol.

View full text Add to dashboard Cite

Cerebral oedema following acute ischemic infarction has been correlated with poor functional outcomes and is the driving mechanism of malignant infarction. Measurements of midline shift and qualitative assessment for herniation are currently the main CT indicators for cerebral oedema but have limited sensitivity for small cortical infarcts and are typically a delayed sign. In contrast, diffusion-weighted (DWI) or T2-weighted magnetic resonance imaging (MRI) are highly sensitive but are significantly less accessible. Due to the need for early quantification of cerebral oedema, several novel imaging biomarkers have been proposed. Based on neuroanatomical shift secondary to space-occupying oedema, measures such as relative hemispheric volume and cerebrospinal fluid displacement are correlated with poor outcomes. In contrast, other imaging biometrics, such as net water uptake, T2 relaxometry and blood brain barrier permeability, reflect intrinsic tissue changes from the influx of fluid into the ischemic region. This review aims to discuss quantification of cerebral oedema using current and developing advanced imaging techniques, and their role in predicting clinical outcomes.

show abstract

Section: Tissue-based Propertiesmentioning

confidence: 99%

Novel advanced imaging techniques for cerebral oedema

Pham,

2024

Front. Neurol.

View full text Add to dashboard Cite

show abstract

“…DWI combined with choline levels determined by MRS can also significantly improve the differential diagnosis of recurrent HGG and radiation damage, as well as the intraoperative characterization of tumor type and margin [137][138][139]. MR relaxometry, a quantitative imaging method that measures tissue relaxation properties, can help differentiate between gliomas and metastases and between different grades of glioma [140]. Relaxometry can help define the peritumoral areas with a greater probability of tumor infiltration and the hypoxic areas not identified by perfusion.…”

Section: Modelling the Diagnosis Of Hggmentioning

confidence: 99%

Advancements in Image-Based Models for High-Grade Gliomas Might Be Accelerated

Frosina

2024

Cancers

View full text Add to dashboard Cite

The first half of 2022 saw the publication of several major research advances in image-based models and artificial intelligence applications to optimize treatment strategies for high-grade gliomas, the deadliest brain tumors. We review them and discuss the barriers that delay their entry into clinical practice; particularly, the small sample size and the heterogeneity of the study designs and methodologies used. We will also write about the poor and late palliation that patients suffering from high-grade glioma can count on at the end of life, as well as the current legislative instruments, with particular reference to Italy. We suggest measures to accelerate the gradual progress in image-based models and end of life care for patients with high-grade glioma.

show abstract

A Histopathologic Correlation Study Evaluating Glymphatic Function in Brain Tumors by Multiparametric MRI

Gao,

Liu,

Zang

et al. 2024

Clinical Cancer Research

View full text Add to dashboard Cite

Purpose: This study aimed to elucidate the impact of brain tumors on cerebral edema and glymphatic drainage, leveraging advanced imaging techniques to explore the relationship between tumor characteristics, glymphatic function, and aquaporin 4 (AQP4) expression. Experimental Design: In a prospective cohort from March 2022 to April 2023, patients with glioblastoma, brain metastases, and aggressive meningiomas, alongside age- and sex-matched healthy controls, underwent 3.0T MRI, including Diffusion Tensor Imaging Analysis Along the Perivascular Space (DTI-ALPS) index and Multiparametric MRI (MTP) for quantitative brain mapping. Tumor and peri-tumor tissues were analyzed for AQP4 expression via immunofluorescence. Correlations between imaging parameters, glymphatic function (DTI-ALPS index), and AQP4 expression were statistically assessed. Results: Among 84 patients (mean age: 55 ± 12 years; 38 males) and 59 controls (mean age: 54 ± 8 years; 23 males), brain tumor patients exhibited significantly reduced glymphatic function (DTI-ALPS index: 2.315 vs. 2.879; p = 0.001) and increased cerebrospinal fluid (CSF) volume (201.376 cm³ vs. 115.957 cm³; p = 0.001). A negative correlation was observed between tumor volume and the DTI-ALPS index (r: -0.715, p < 0.001), while AQP4 expression correlated positively with peritumoral brain edema (PTBE) volume (r: 0.989; p < 0.001) and negatively with PD in PTBE areas (ρ: -0.506; p < 0.001). Conclusions: Our findings highlight the interplay between tumor-induced compression, glymphatic dysfunction, and altered fluid dynamics, showing the utility of DTI-ALPS and MTP in understanding the pathophysiology of tumor-related cerebral edema. These insights provide a radiological foundation for further neuro-oncological investigations into the glymphatic system.

show abstract

Magnetic resonance relaxometry in quantitative imaging of brain gliomas: A literature review

Cited by 3 publications

References 69 publications

Novel advanced imaging techniques for cerebral oedema

Novel advanced imaging techniques for cerebral oedema

Advancements in Image-Based Models for High-Grade Gliomas Might Be Accelerated

A Histopathologic Correlation Study Evaluating Glymphatic Function in Brain Tumors by Multiparametric MRI

Contact Info

Product

Resources

About