Percentage Signal Recovery as an Upcoming Novel Perfusion Parameter Derived from MR Dynamic Susceptibility Contrast Imaging in Differentiating Common Intra-Axial Malignant Neoplasms of Brain
Jul 2026· Asian Journal of Neurosurgery· 0 citations· 26 references
TL;DR
PSR and rPSR can be used in addition to rCBV and rCBF in differentiating intra-axial enhancing brain tumors in differentiating common enhancing intra-axial brain tumors.
Abstract
Abstract Objectives This article evaluates the role of percentage signal recovery (PSR) derived from magnetic resonance dynamic susceptibility contrast imaging in differentiating common enhancing intra-axial brain tumors. Materials and Methods Prospective study was done on 50 patients with intra-axial enhancing brain tumors over one and half years from September 2022 to March 2024. All statistical calculations were done using Statistical Package for the Social Science (SPSS) 21 version (SPSS Inc., Chicago, Illinois, United States). Results Relative cerebral blood volume (rCBV) and relative cerebral blood flow (rCBF) values were lower in diffuse large B-cell lymphoma (DLBCL) (1.67 ± 0.36 and 1.51 ± 0.33) than in high-grade glioma (HGG) (3.59 ± 0.91 and 3.32 ± 0.75) and metastasis (3.28 ± 1.12 and 2.88 ± 0.86) with a p -value of 0.001. PSR value was high in DLBCL (131.55 ± 19.87), intermediate in HGG (77.25 ± 10.00), and low in metastasis (57.64 ± 5.90), with a p -value of 0.001. Relative PSR (rPSR) value in DLBCL was 1.47 ± 0.24, HGG was 0.89 ± 0.08, and metastasis was 0.73 ± 0.07, respectively, with a p -value of 0.001. Area under the receiver operating characteristic (ROC) curve for PSR was 1.000, rPSR was 0.992, rCBV was 0.003, and rCBF was 0.000 in differentiating DLBCL from HGG with a p -value of 0.001. Area under the ROC for PSR was 0.961, rPSR was 0.935, rCBV was 0.609, and rCBF was 0.631 in differentiating HGG from metastasis, which was statistically significant for PSR and rPSR with a p -value of 0.001. Area under the ROC for PSR was 1.000, rPSR was 1.000, rCBV was 0.029, and rCBF was 0.054 in differentiating DLBCL from metastasis with a p -value of 0.001. Analysis of variance F -test values for PSR (113.323) and rPSR (108.744) were better than rCBV (19.027) and rCBF (25.487) in differentiating the three groups with significant p -values. Conclusion PSR and rPSR can be used in addition to rCBV and rCBF in differentiating intra-axial enhancing brain tumors. Overshoot or high signal recovery was seen in DLBCL, intermediate signal recovery was seen in HGGs, and low signal recovery was seen in metastasis.
Both DWI parameters (especially ADC and D and TIC type) and TIC type help differentiate benign from malignant BI-RADS 4 lesions and the ADC combined with TIC model offers better diagnostic accuracy and is practical for clinical use.
Chao Huang, Zhi-Feng Wang, Wen-Ting Zhang et al.· European Journal of Radiolog...· 0 citations
BACKGROUND
The diagnostic performance of dynamic-susceptibility-contrast perfusion-weighted-imaging (DSC-PWI) relies almost exclusively on cerebral-blood-volume (CBV), a biomarker considered highly dependent on acquisition parameters. We investigated whether integrating advanced vascular and metabolic perfusion biomark...
C. García-Hidalgo, P. Naval-Baudin, J. I. García-García et al.· European Journal of Radiolog...· 0 citations
Background and purpose Primary central nervous system lymphoma (PCNSL) and high-grade glioma (HGG) may share overlapping conventional MRI appearances. We developed and internally validated a parsimonious model combining tumor apparent diffusion coefficient (ADC) and the lipid-to-creatine ratio (Lip/Cr), compared it wit...
Lei Geng, Su-Bo Zhang, Zhao-Ting Zhang et al.· Frontiers in Oncology· 0 citations
While conventional MRI provides excellent anatomical delineation of brain tumors, it remains fundamentally limited in predicting cellularity or histological grade preoperatively. Apparent diffusion coefficient (ADC) values, derived from diffusion-weighted imaging (DWI), quantify microscopic water mobility, serving as a...
M. Monis, Atul Kumar, Sayeedul Hasan Arif et al.· The Egyptian Journal of Radi...· 0 citations
Background Using multimodal MRI, we developed a predictive model for identifying glioma recurrence and treatment response. Methods Clinical data were retrospectively collected on 274 patients with gliomas following surgery. All patients underwent the MRI scan, including Contrast-enhanced T1 Weighted Imaging (CE-T1WI),...
Qi Wang, Zhen-Guo Yuan, Yan-Zhao Diao et al.· Frontiers in Oncology· 0 citations
Background/Objectives: To quantitatively evaluate pharmacokinetic parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in differentiating prostate malignant lesions from normal appearing prostatic tissue, and to analyze their correlation with Gleason scores (GS). Methods: A retrospecti...
Muhammed Sonkaya, Ilyas Dundar· Diagnostics· 0 citations
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