Accuracy of percentage of signal intensity recovery and relative cerebral blood volume derived from dynamic susceptibility-weighted, contrast-enhanced MRI in the preoperative diagnosis of cerebral tumours

Abstract

Conventional magnetic resonance imaging (MRI) is the technique of choice for diagnosis of cerebral tumours, and has become an increasingly powerful tool for their evaluation; however, the diagnosis of common contrast-enhancing lesions can be challenging, as it is sometimes impossible to differentiate them using conventional imaging. Histopathological analysis of biopsy specimens is the gold standard for diagnosis; however, there are significant risks associated with the invasive procedure and definitive diagnosis is not always achieved. Early accurate diagnosis is important, as management differs accordingly. Advanced MRI techniques have increasing utility for aiding diagnosis in a variety of clinical scenarios. Dynamic susceptibility-weighted contrast-enhanced (DSC) MRI is a perfusion imaging technique and a potentially important tool for the characterisation of cerebral tumours. The percentage of signal intensity recovery (PSR) and relative cerebral blood volume (rCBV) derived from DSC MRI provide information about tumour capillary permeability and neoangiogenesis, which can be used to characterise tumour type and grade, and distinguish tumour recurrence from treatment-related effects. Therefore, PSR and rCBV potentially represent a non-invasive means of diagnosis; however, the clinical utility of these parameters has yet to be established. We present a review of the literature to date.

Three-dimensional arterial spin labeling imaging and dynamic susceptibility contrast perfusion-weighted imaging value in diagnosing glioma grade prior to surgery

“…DSC-PWI has two methods, including SE-EPI and GRE-EPI. SE-EPI attains the T2-weighted contrast and T2*-weighted contrast in GRE-EPI ( 13 , 14 ). When the contrast agent travels through nearby blood vessels, magnetic susceptibility differences between surrounding tissue can cause an uneven local magnetic field and accelerate protons to phase (a principle of DSC-PWI) in the process.…”

Glioma Grading on Conventional MR Images: A Deep Learning Study With Transfer Learning

“…Dynamic contrast enhanced (DCE) MRI in the preoperative setting measure pharmacokinetic parameters of contrast uptake, which may be associated with early disease progression and survival ( Kim et al, 2017 ). Dynamic susceptibility contrast (DSC) MRI may be helpful in preoperative diagnosis ( Chakravorty et al, 2015 ). Thus, it is necessary to combine advanced MRI sequences to train a radiomics-based deep model for glioma grading in future study.…”

Advanced Magnetic Resonance Imaging in Glioblastoma: A Review

“…16 Dynamic contrast-enhanced (DCE) sequences in the preoperative setting measure pharmacokinetic parameters of contrast uptake, which may be associated with early disease progression and survival. 17 Dynamic susceptibility contrast (DSC) MR imaging may be helpful in preoperative diagnosis 18 of malignant lesions. Imaging features extracted from standard and advanced preoperative MR sequences can predict survival, molecular subtype, and mutational status in glioblastoma, 19,20 potentially enhancing the set of imaging biomarkers available to clinicians.…”