Predictive value of preoperative MRI enhancement features on postoperative recurrent time in recurrent glioblastoma patients

Kun SONG, Zhi⁃yong QIN, Hao XU, Tian⁃ming QIU, Ai⁃lan CHENG, Shu⁃guang CHU

Abstract


Objective To analyze the relationship between preoperative enhanced MRI manifestation and recurrent time of recurrent glioblastoma, and to explore the predictive value of imaging signs for recurrence time. Methods A total of 36 patients with pathologically confirmed glioblastoma were collected from February 2012 to April 2017. All patients underwent preoperative and postoperative T 1 WI and enhanced MRI scans, and enhanced cross ⁃ sections and sagittal or coronary scans were performed. Manually measure the volume of the lesion⁃enhanced and non⁃enhanced necrotic areas on the enhanced MRI image. The totality was divided into 2 groups according to the percentage of necrosis that accounts for the entire tumor volume. Necrosis in group A accounts for > 50% of the total tumor volume, and necrosis in group B accounts for < 50% of the total tumor volume. Analyze the enhanced MRI features before surgery, the time of first recurrence, MRI manifestations and overall survival (OS). Results The recurrence time in group A was significantly shorter than that in group B [(6.00 ± 0.99) months vs. (9.00 ± 1.49) months, P = 0.049]. Necrotic⁃based glioblastomas recurred faster. When stratifying patients in group A and group B based on clinical characteristics, the recurrence time of patients in group A was still significantly shorter than that in group B in the group of age < 65 years old and receiving radiotherapy and chemotherapy [6 (3, 8) months vs. 9 (6, 13) months, 6 (6, 10) months vs. 12 (3, 24) months; P < 0.05, for all]. Conclusions Preoperative enhanced MRI findings have predictive value for postoperative recurrence in patients with glioblastoma who are younger than 65 years old and receive radiotherapy and chemotherapy.

DOI:10.3969/j.issn.1672⁃6731.2019.12.008


Keywords


Glioblastoma; Recurrence; Magnetic resonance imaging

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