JMIR Publications

Background:

Intracranial glioma is the most common primary malignant tumor, accounting for about half of all the primary malignant tumors in the brain, with a high rate of disability and death. Because of the invasive growth of gliomas, it is difficult to completely distinguish the boundaries of tumor removal; moreover, the sensitivity of radiotherapy and chemotherapy is not high, so most patients have a poor prognosis. With the development of radiotherapy technology and new chemotherapy drugs, the prognosis of patients with glioma has improved to some extent, but the situation is still not optimistic. At present, the pathogenesis of glioma is not clear, so it is one of the most difficult-to-treat tumors, with a high mortality, recurrence rate, and low cure rate.

Objective:

Our objective is to study the medical monitoring data of dynamic contrast-enhanced intelligent information with magnetic resonance imaging (MRI) in postoperative infection of intracranial gliomas.

Methods:

The subjects for this study were 49 patients who underwent total resection of gliomas in our hospital. The subjects were divided into 2 groups: (1) the pseudoprogression group (n=14) and (2) the recurrence group (n=35). All patients had complete follow-up data, and all patients underwent MRI. The acquired MRI images were processed and analyzed. The dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) quantitative parameters—the volume transfer constant (K^trans), the volume fraction of the contrast vessel and tissue space (V_e), and reflux rate constant (K_ep)—and the semiquantitative parameter of the initial area under the curve (iAUC) were obtained. Statistical analysis software was used to analyze these values.

Results:

The values of K^trans and iAUC in the pseudoprogression group were significantly lower than those of the recurrence group (P=.009 and P=.007, respectively). There was no significant difference in V_e and K_ep between the 2 groups (P=.18 and P=.13, respectively). The values of K^trans and iAUC in the DCE-MRI have a certain effect on the diagnosis of intracranial gliomas after operation, and the accuracy of K^trans is higher than the iAUC.

Conclusions:

In this study, DCE-MRI was found to have a certain diagnostic value that provides a basis for the intelligent diagnosis and treatment of specific conditions after surgery, and that may improve the prognosis of intracranial glioma.