Prognostication of anaplastic astrocytoma patients: application of contrast leakage information of dynamic susceptibility contrast-enhanced MRI and dynamic contrast-enhanced MRI

被引:6
|
作者
Kim, Hee Soo [1 ]
Kwon, Se Lee [1 ]
Choi, Seung Hong [2 ,3 ,4 ]
Hwang, Inpyeong [2 ,3 ]
Kim, Tae Min [5 ]
Park, Chul-Kee [6 ]
Park, Sung-Hye [7 ]
Won, Jae-Kyung [7 ]
Kim, Il Han [8 ]
Lee, Soon Tae [9 ]
机构
[1] Seoul Natl Univ, Coll Med, Seoul, South Korea
[2] Seoul Natl Univ, Coll Med, Dept Radiol, 28 Yongon Dong, Seoul 110744, South Korea
[3] Inst for Basic Sci Korea, Ctr Nanoparticle Res, Seoul, South Korea
[4] Seoul Natl Univ, Sch Chem & Biol Engn, Seoul 151742, South Korea
[5] Seoul Natl Univ, Coll Med, Canc Res Inst, Dept Internal Med, Seoul, South Korea
[6] Seoul Natl Univ, Biomed Res Inst, Dept Neurosurg, Coll Med, Seoul, South Korea
[7] Seoul Natl Univ, Coll Med, Dept Pathol, Seoul, South Korea
[8] Seoul Natl Univ, Coll Med, Canc Res Inst, Dept Radiat Oncol, Seoul, South Korea
[9] Seoul Natl Univ, Coll Med, Dept Neurol, Seoul, South Korea
基金
新加坡国家研究基金会;
关键词
Anaplastic astrocytoma; Magnetic resonance imaging; Permeability; Perfusion; Prognosis; DIAGNOSED MALIGNANT GLIOMA; VASCULAR-PERMEABILITY; TUMOR ANGIOGENESIS; MUTATION STATUS; BLOOD-VOLUME; RADIOTHERAPY; PERFUSION; SURVIVAL; CLASSIFICATION; GLIOBLASTOMA;
D O I
10.1007/s00330-019-06598-7
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
Purpose To examine the applicability of contrast leakage information from dynamic susceptibility contrast-enhanced (DSC) MRI and dynamic contrast-enhanced (DCE) MRI to determine which one is the most valuable surrogate imaging biomarker for predicting disease progression in anaplastic astrocytoma (AA) patients. Materials and methods This study was approved by the institutional review board (IRB), which waived informed consent. A total of seventy-three AA patients who had undergone preoperative DCE and DSC MRI and received standard treatment, including partial resection or biopsy followed by radiation therapy, were included in this retrospective study. Based on Response Assessment in Neuro-Oncology (RANO), patients were sorted into progression (n = 21) and non-progression (n = 52) groups. Tumor boundaries were defined as high-signal intensity (SI) lesions on fluid-attenuated inversion recovery (FLAIR) imaging, where we analyzed mean pharmacokinetic parameters (K-trans, V-p, and V-e) from DCE MRI and contrast leakage information (mean extraction fraction (EF)) from DSC MRI. Results Mean V-e and mean EF were significantly higher in patients with progression-free survival (PFS) < 18 months than in those with PFS >= 18 months. For distinguishing the group with PFS < 18 months, AUC values were calculated using the mean V-e value (AUC = 0.716). The Kaplan-Meier survival analysis revealed that mean V-e value was significantly correlated with PFS. In Cox proportional-hazards regression, only the mean V-e value was found to be significantly associated with PFS. Conclusion We found that the mean V-e value based on high-SI tumor lesions on FLAIR imaging was capable of predicting outcomes of AA patients as a potential surrogate imaging biomarker.
引用
收藏
页码:2171 / 2181
页数:11
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