Histogram analysis of quantitative susceptibility mapping and apparent diffusion coefficient for identifying isocitrate dehydrogenase genotypes and tumor subtypes of adult-type diffuse gliomas

被引:4
作者
Sun, Yifan [1 ,2 ]
Yang, Zheting [1 ,2 ]
Deng, Kaiji [1 ,2 ]
Geng, Yingqian [1 ,2 ]
Hu, Xiaomei [3 ]
Song, Yang [4 ]
Jiang, Rifeng [1 ,2 ]
机构
[1] Fujian Med Univ, Union Hosp, Dept Radiol, 29 Xinquan Rd, Fuzhou 350001, Peoples R China
[2] Fujian Med Univ, Sch Med Imaging, Fuzhou, Peoples R China
[3] Fujian Med Univ, Dept Pathol, Union Hosp, Fuzhou, Peoples R China
[4] Siemens Healthcare, MR Sci Mkt, Shanghai, Peoples R China
关键词
Quantitative susceptibility mapping (QSM); apparent diffusion coefficient (ADC); glioma; isocitrate dehydrogenase (IDH); Ki-67; CENTRAL-NERVOUS-SYSTEM; CLASSIFICATION; GRADE;
D O I
10.21037/qims-23-832
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Background: Accurate preoperative identification of isocitrate dehydrogenase (IDH) genotypes and tumor subtypes is highly important for proper treatment planning and prognosis evaluation in patients with glioma. This study aimed to differentiate IDH genotypes and tumor subtypes of adult-type diffuse gliomas using histogram features of quantitative susceptibility mapping (QSM) and apparent diffusion coefficient (ADC). Methods: This prospective study enrolled patients with suspected gliomas between March 2019 and January 2022 in a random series. Histogram features of QSM and ADC were extracted from the tumor parenchyma. The Mann-Whitney U test was used to compare the difference in histogram features between different IDH genotypes and among tumor subtypes. Receiver operating characteristic (ROC) curves were constructed to assess the corresponding diagnostic performance. Results: This study included 47 patients with histopathologically confirmed adult-type diffuse gliomas. Totals of seven QSM features including 10th percentile (P10), 90th percentile (P90), interquartile range (IQR), maximum, mean absolute deviation (MAD), root mean squared (RMS), and variance, and five ADC features including P10, mean, median, RMS, and skewness exhibited significant differences between different IDH genotypes (P<0.05 for all), with the IQR of QSM demonstrating the highest area under curve (AUC) of 0.774 [95% confidence interval (CI): 0.635-0.913]. For separating tumor subtypes, the IQR of QSM also showed the highest AUC of 0.745 (95% CI: 0.566-0.924) for glioblastoma (GBM) versus astrocytoma and 0.848 (95% CI: 0.706-0.989) for GBM versus oligodendroglioma, but none of the features could discriminate astrocytoma from oligodendroglioma. The combination of the IQR of QSM, P10 of ADC, and age achieved the highest AUC of 0.910 (95% CI: 0.826-0.994) for IDH genotypes, and 0.939 (95% CI: 0.859-1.000) and 0.967 (95% CI: 0.904-1.000) for GBM versus astrocytoma and GBM versus oligodendroglioma, respectively. Conclusions: QSM and ADC histogram features may serve as potential imaging markers for noninvasively assessing IDH genotypes and tumor subtypes of adult-type diffuse gliomas. Combining significant features may enhance the diagnostic performance substantially.
引用
收藏
页码:8681 / +
页数:16
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