Differentiation of glioma and solitary brain metastasis: a multi-parameter magnetic resonance imaging study using histogram analysis

被引:1
作者
Su, Yifei [1 ,4 ]
Cheng, Rui [2 ,4 ]
Guo, Jinxia [3 ]
Zhang, Miaoqi [3 ]
Wang, Junhao [1 ,4 ]
Ji, Hongming [1 ,4 ]
Wang, Chunhong [2 ,4 ]
Hao, Liangliang [5 ]
He, Yexin [5 ]
Xu, Cheng [5 ]
机构
[1] Shanxi Med Univ, Neurosurg Dept, Shanxi Prov Peoples Hosp, Taiyuan 030012, Shanxi, Peoples R China
[2] Shanxi Prov Peoples Hosp, Neurosurg Dept, Taiyuan 030012, Shanxi, Peoples R China
[3] GE Healthcare, Beijing, Peoples R China
[4] Prov Key Cultivat Lab Intelligent Big Data Digital, Taiyuan, Shanxi, Peoples R China
[5] Shanxi Prov Peoples Hosp, Radiol Dept, Taiyuan 030012, Shanxi, Peoples R China
关键词
Intravoxel incoherent motion; Amide proton transfer-weighted imaging; Glioma; Solitary brain metastasis; MRI; HIGH-GRADE GLIOMAS; APPARENT DIFFUSION-COEFFICIENT; GLIOBLASTOMA-MULTIFORME; DIAGNOSTIC-VALUE; PERFUSION; TUMOR; SPECTROSCOPY; MRI;
D O I
10.1186/s12885-024-12571-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background Differentiation of glioma and solitary brain metastasis (SBM), which requires biopsy or multi-disciplinary diagnosis, remains sophisticated clinically. Histogram analysis of MR diffusion or molecular imaging hasn't been fully investigated for the differentiation and may have the potential to improve it. Methods A total of 65 patients with newly diagnosed glioma or metastases were enrolled. All patients underwent DWI, IVIM, and APTW, as well as the T1W, T2W, T2FLAIR, and contrast-enhanced T1W imaging. The histogram features of apparent diffusion coefficient (ADC) from DWI, slow diffusion coefficient (Dslow), perfusion fraction (frac), fast diffusion coefficient (Dfast) from IVIM, and MTRasym@3.5ppm from APTWI were extracted from the tumor parenchyma and compared between glioma and SBM. Parameters with significant differences were analyzed with the logistics regression and receiver operator curves to explore the optimal model and compare the differentiation performance. Results Higher ADC(kurtosis) (P = 0.022), frac(kurtosis) (P<0.001),and frac(skewness) (P<0.001) were found for glioma, while higher (MTRasym@3.5ppm)(10) (P = 0.045), frac(10) (P<0.001),frac(90) (P = 0.001), frac(mean) (P<0.001), and frac(entropy) (P<0.001) were observed for SBM. frac(kurtosis) (OR = 0.431, 95%CI 0.256-0.723, P = 0.002) was independent factor for SBM differentiation. The model combining (MTRasym@3.5ppm)(10), frac(10), and frac(kurtosis) showed an AUC of 0.857 (sensitivity: 0.857, specificity: 0.750), while the model combined with frac(10) and frac(kurtosis) had an AUC of 0.824 (sensitivity: 0.952, specificity: 0.591). There was no statistically significant difference between AUCs from the two models. (Z = -1.14, P = 0.25). Conclusions The frac10 and frackurtosis in enhanced tumor region could be used to differentiate glioma and SBM and (MTRasym@3.5ppm)10 helps improving the differentiation specificity.
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页数:11
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