Research output: Contribution to journal › Article › peer-review
Automated Volumetric Analysis of Postoperative Magnetic Resonance Imaging Predicts Survival in Patients with Glioblastoma. / Krivoshapkin, Alexey L.; Sergeev, Gleb S.; Gaytan, Alekey S. et al.
In: World Neurosurgery, Vol. 126, 01.06.2019, p. e1510-e1517.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Automated Volumetric Analysis of Postoperative Magnetic Resonance Imaging Predicts Survival in Patients with Glioblastoma
AU - Krivoshapkin, Alexey L.
AU - Sergeev, Gleb S.
AU - Gaytan, Alekey S.
AU - Kalneus, Leonid E.
AU - Kurbatov, Vladislav P.
AU - Abdullaev, Orkhan A.
AU - Salim, Nidal
AU - Bulanov, Dmitry V.
AU - Simonovich, Alexander E.
N1 - Copyright © 2019 Elsevier Inc. All rights reserved.
PY - 2019/6/1
Y1 - 2019/6/1
N2 - Background: Glioblastomas (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). Methods: Data 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. Results: Correlation 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). Conclusions: The volume of MRI contrast-enhancing GBM remnants after surgery, automatically measured by the software, was a significant predictor for early postoperative progression and death.
AB - Background: Glioblastomas (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). Methods: Data 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. Results: Correlation 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). Conclusions: The volume of MRI contrast-enhancing GBM remnants after surgery, automatically measured by the software, was a significant predictor for early postoperative progression and death.
KW - Glioblastoma management
KW - Gross total resection
KW - MRI evaluation
KW - Software for MRI
KW - Volumetric tumor estimation
KW - SURGERY
KW - PROGNOSTIC-FACTORS
KW - RESECTION
KW - MULTIFORME
KW - MALIGNANT GLIOMA
KW - EXTENT
KW - CENTRAL-NERVOUS-SYSTEM
KW - RESIDUAL TUMOR
UR - http://www.scopus.com/inward/record.url?scp=85064324019&partnerID=8YFLogxK
U2 - 10.1016/j.wneu.2019.03.142
DO - 10.1016/j.wneu.2019.03.142
M3 - Article
C2 - 30910753
AN - SCOPUS:85064324019
VL - 126
SP - e1510-e1517
JO - World Neurosurgery
JF - World Neurosurgery
SN - 1878-8750
ER -
ID: 19631511