Multi-subregional susceptibility patterns in gliomas using sub-voxel quantitative susceptibility mapping

Objective To evaluate glioma susceptibility patterns and their clinical/pathological correlations using a sub-voxel quantitative susceptibility mapping (QSM) technique that quantifies the paramagnetic (χ para ) and diamagnetic (χ dia ) components (APART-QSM). Materials and methods We enrolled 120 pathologically confirmed glioma patients ( n = 120; aged 47 ± 13 years, mean ± standard deviation; 51 women) retrospectively and 6 for histologic validation prospectively. χ para /χ dia maps were generated. Subregions included peritumoral edema (PE), subdivided into four equidistant subregions, tumor parenchyma (TP), and necrosis, cystic degeneration (CD). Associations between multi-subregional susceptibility and clinicopathological parameters and a conditional inference tree (CIT) model for genotyping were analyzed. Results Compared to contralateral normal-appearing tissue (CNAT), TP in high-grade and isocitrate dehydrogenase (IDH)-wild-type gliomas exhibited increased χ para ( p ≤ 0.044), low-grade and IDH-mutant gliomas lower χ bulk , χ para and χ dia ( p ≤ 0.015). PE demonstrated lower susceptibility than CNAT ( p < 0.001), with χ para /χ dia initially decreasing then increasing with peritumoral distance ( p ≤ 0.008). Necrosis showed elevated χ para /χ dia ( p ≤ 0.025), and CD in oligodendrogliomas displayed higher χ dia than CNAT ( p = 0.019). The CIT model (TP χ dia and PE χ para ) achieved 0.702 accuracy. Univariable analysis showed that higher TP χ para /χ dia correlated with shorter survival ( p < 0.001). In the prospective subgroup, TP χ para correlated with iron content ( r = 0.901, p = 0.014), TP χ dia /χ para correlated with Ki-67 ( r = 0.841, p = 0.036). Conclusion APART-QSM revealed distinct, clinically relevant susceptibility profiles across glioma subregions with potential associations with genotyping and prognosis, providing biomarkers for iron content and tumor proliferation. Distance-associated susceptibility pattern in PE may reflect peritumoral microenvironmental properties. Key Points Question Gliomas exhibit complex histopathology with heterogeneous magnetic susceptibility. Effective preoperative evaluation of multi-subregional susceptibility patterns in gliomas facilitates refined tissue characterization and guides clinical treatment. Findings Glioma subregions showed clinically relevant susceptibility profiles, correlating with iron content, tumor proliferation, and revealing a distance-associated peritumoral edema pattern. Relevance statement Our study used the APART-QSM technique to characterize multi-subregional susceptibility patterns and pathological changes in different glioma types, revealing its potential association with glioma genotyping and prognosis.

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Journal
European Radiology Experimental
Published
2026-10-26
DOI
https://doi.org/10.1186/s41747-026-00847-3
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-subregional susceptibility patterns in gliomas using sub-voxel quantitative susceptibility mapping

卫宏江, Zuqi Xia, Haodong Qin, Jianping Chu et al.
European Radiology Experimental
Advanced MRI Techniques and Applications
article

Multi-subregional susceptibility patterns in gliomas using sub-voxel quantitative susceptibility mapping

卫宏江, Zuqi Xia, Haodong Qin, Jianping Chu, Nengjin Zhu, Huang Yingqian, Liwei Mazu, Shanmei Zeng, Siyuan He, Jiajing Wu, Xuesong Liu, Junqiao Wang, Zhiyun Yang
article en

Abstract

Objective To evaluate glioma susceptibility patterns and their clinical/pathological correlations using a sub-voxel quantitative susceptibility mapping (QSM) technique that quantifies the paramagnetic (χ para ) and diamagnetic (χ dia ) components (APART-QSM). Materials and methods We enrolled 120 pathologically confirmed glioma patients ( n = 120; aged 47 ± 13 years, mean ± standard deviation; 51 women) retrospectively and 6 for histologic validation prospectively. χ para /χ dia maps were generated. Subregions included peritumoral edema (PE), subdivided into four equidistant subregions, tumor parenchyma (TP), and necrosis, cystic degeneration (CD). Associations between multi-subregional susceptibility and clinicopathological parameters and a conditional inference tree (CIT) model for genotyping were analyzed. Results Compared to contralateral normal-appearing tissue (CNAT), TP in high-grade and isocitrate dehydrogenase (IDH)-wild-type gliomas exhibited increased χ para ( p ≤ 0.044), low-grade and IDH-mutant gliomas lower χ bulk , χ para and χ dia ( p ≤ 0.015). PE demonstrated lower susceptibility than CNAT ( p < 0.001), with χ para /χ dia initially decreasing then increasing with peritumoral distance ( p ≤ 0.008). Necrosis showed elevated χ para /χ dia ( p ≤ 0.025), and CD in oligodendrogliomas displayed higher χ dia than CNAT ( p = 0.019). The CIT model (TP χ dia and PE χ para ) achieved 0.702 accuracy. Univariable analysis showed that higher TP χ para /χ dia correlated with shorter survival ( p < 0.001). In the prospective subgroup, TP χ para correlated with iron content ( r = 0.901, p = 0.014), TP χ dia /χ para correlated with Ki-67 ( r = 0.841, p = 0.036). Conclusion APART-QSM revealed distinct, clinically relevant susceptibility profiles across glioma subregions with potential associations with genotyping and prognosis, providing biomarkers for iron content and tumor proliferation. Distance-associated susceptibility pattern in PE may reflect peritumoral microenvironmental properties. Key Points Question Gliomas exhibit complex histopathology with heterogeneous magnetic susceptibility. Effective preoperative evaluation of multi-subregional susceptibility patterns in gliomas facilitates refined tissue characterization and guides clinical treatment. Findings Glioma subregions showed clinically relevant susceptibility profiles, correlating with iron content, tumor proliferation, and revealing a distance-associated peritumoral edema pattern. Relevance statement Our study used the APART-QSM technique to characterize multi-subregional susceptibility patterns and pathological changes in different glioma types, revealing its potential association with glioma genotyping and prognosis.

European Radiology ExperimentalVol. 10(1)
Sun Yat-sen University (CN), Shanghai Jiao Tong University (CN), The First Affiliated Hospital, Sun Yat-sen University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 13%
Advanced MRI Techniques and Applications
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