Dual-layer detector spectral CT—a new supplementary method for preoperative evaluation of glioma. Issue 138 (May 2021)

• Record Type: Journal Article
• Authors: Yingying, Li; Zhe, Zhang; Xiaochen, Wang; Xiaomei, Lu; Nan, Ji; Shengjun, Sun
• Is Part Of: European journal of radiology. Issue 138(2021)
• Publication Date: 2021-05
• Subjects: Dual-layer detector spectral computed tomography -- Iodine -- Concentration -- Glioma -- Grading; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2021.109649
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: Dual-layer detector spectral (DLDSCT)computed tomography is a useful technology for patients with glioma, that can help with the preoperative grading of the tumor and the prognosis assessment of the patient. Iodine concentration (IC) measured by DLDSCT can noninvasively predict the grades of gliomas, especially in grade II and III gliomas. IC can be used as a noninvasive biomarker of glioma proliferation. Abstract: Purpose: To investigate the value of the iodine concentration (IC) measured by dual-layer detector spectral CT (DLDSCT) in evaluating the factors related to the treatment scheme and survival prognosis of patients with glioma. Methods: From 2018 to 2019, we prospectively collected the data of 99 patients with glioma. The degree of CT enhancement and the IC of low grade gliomas (LGGs, II), high grade gliomas (HGGs, III and IV), grade II and III gliomas, were compared. The predictive performance of the degree of CT enhancement and IC was examined via receiver operating characteristic (ROC) analysis. The correlations between IC and Ki-67 labeling index, isocitrate dehydrogenase (IDH) mutation, chromosome 1p/19q deletion status of the tumor were examined. Results: Both IC and the degree of CT enhancement of patients with HGG were significantly higher than those of patients with LGG ( p < 0.001; χ 2 =41.707, p < 0.001); IC had large area under the ROC curve for diagnostic HGG (0.931; 95 % CI: 0.882−0.979; p < 0.001). The IC in the grade III gliomas was significantly higher than that in grade II gliomas ( p < 0.001); IC had a large area under the ROC curve for diagnostic grade III gliomas (0.865; 95 % CI: 0.779–0.952; p < 0.001). There was a significant positive correlation between IC and Ki-67 LI ( r = 0.679; p < 0.001). Conclusions: The DLDSCT technology can be used as a supplementary method to provide more information for preoperative grading of the gliomas and the prognosis assessment of the patients.