• World Neurosurg · Jun 2019

    Automated volumetric analysis of postoperative MRI predicts survival in glioblastoma patients.

    • Alexey L Krivoshapkin, Gleb S Sergeev, Alekey S Gaytan, Leonid E Kalneus, Vladislav P Kurbatov, Orkhan A Abdullaev, Nidal Salim, Dmitry V Bulanov, and Alexander E Simonovich.
    • Department of Neurosurgery, Novosibirsk State Medical University, Novosibirsk, Russia. Electronic address: alkr01@yandex.ru.
    • World Neurosurg. 2019 Jun 1; 126: e1510-e1517.

    BackgroundGlioblastomas (GBMs) are primary brain tumors that are very difficult to treat. Magnetic resonance imaging (MRI) is the reference tool for diagnosis, postoperative control, and follow-up of GBM. The MRI tumor contrast enhancement part serves as a target for surgery. However, there are controversial data about the influence of pre- and postoperative tumor volumetric MRI parameters on overall survival (OS).MethodsData of 57 patients with GBM were analyzed retrospectively. All patients had maximum safe resection and standard adjuvant treatment. All patients underwent 1.5-T MRI with contrast in the first 24 hours postoperatively. The data of pre- and postoperative volumetric parameters were analyzed using the original software.ResultsCorrelation analysis between the postoperative volume of the tumor contrast enhancement part and the patient's OS revealed a significant level (on the Chaddock scale) of inverse correlation. Residual tumor volume associated with OS of >6 months was determined as <2.5 cm3. The mortality risk in the first 6 months after tumor resection is 3.4 times higher when the tumor remnant is >2.5 cm3 (risk ratio, 3.4; P = 0.0002).ConclusionsThe volume of MRI contrast-enhancing GBM remnants after surgery, automatically measured by the software, was a significant predictor for early postoperative progression and death.Copyright © 2019 Elsevier Inc. All rights reserved.

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