Information technology for the analysis of CT perfusion in assessing the effectiveness of treatment for glioblastoma
https://doi.org/10.17709/2409-2231-2020-7-3-8
Abstract
Purpose of the study. To develop an information technology for calculating perfusion computed tomography parameters and to evaluate the effectiveness of using the proposed program in the differential diagnosis of continued glioblastoma growth and post-radiation necrosis.
Materials and methods. We examined 53 patients who were treated at the Samara Clinical Oncological Dispensary. All patients underwent CT scan in perfusion mode. The results of using the program were compared with the data that were calculated on the workstation of the GE Discovery CT750 HD computed tomograph.
Results. Significant differences were found in CBV and CBF perfusion indices in groups with continued growth and post-radiation necrosis, verified by biopsy. The parameters calculated using the developed program did not differ significantly from the results obtained on a standard workstation.
Conclusion. The application of the developed computer program for the analysis of CT perfusion does not depend on the equipment manufacturer, works with standard DICOM data, which increases the availability of a valuable diagnostic method. The results obtained using the proposed information technology make it possible to differentiate the continued growth of glioblastoma from post-radiation necrosis.
About the Authors
A. V. Balandina
Samara Regional Clinical Oncology Dispensary
Russian Federation
Аnna V. Balandina – head of the department of computed tomography and magnetic resonance imaging
Russian Federation
Аnna V. Balandina – head of the department of computed tomography and magnetic resonance imaging
50 Solnechnaya str., Samara 443031
SPIN: 6586-7927
AuthorID: 1055213
P. M. Zelter
Samara State Medical University
Russian Federation
Pavel M. Zelter – Cand. Sci. (Med.), assistant of the department of radiation diagnostics and radiation therapy with the course of medical Informatics
Russian Federation
Pavel M. Zelter – Cand. Sci. (Med.), assistant of the department of radiation diagnostics and radiation therapy with the course of medical Informatics
89 Chapaevskaya str., Samara 443099
SPIN: 3678-3932
AuthorID: 757676
A. V. Kapishnikov
Samara State Medical University
Russian Federation
Russian Federation
Aleksandr V. Kapishnikov – Dr. Sci. (Med.), head of the department of radiation diagnostics and radiation therapy with the course of medical Informatics
89 Chapaevskaya str., Samara 443099
SPIN: 6213-7455
AuthorID: 337215
S. V. Kozlov
Samara State Medical University
Russian Federation
Russian Federation
Sergey V. Kozlov – Dr. Sci. (Med.), professor, head of the oncology department
89 Chapaevskaya str., Samara 443099
SPIN: 2135-6401
AuthorID: 672131
A. V. Kolsanov
Samara State Medical University
Russian Federation
Alexander V. Kolsanov – Dr. Sci. (Med.), professor, professor of the Russian Academy of Sciences, head of the department of operative surgery and clinical anatomy with the course of innovative technologies, rector
Russian Federation
Alexander V. Kolsanov – Dr. Sci. (Med.), professor, professor of the Russian Academy of Sciences, head of the department of operative surgery and clinical anatomy with the course of innovative technologies, rector
89 Chapaevskaya str., Samara 443099
SPIN: 2028-6609
AuthorID: 681123
S. S. Chaplygin
Samara State Medical University
Russian Federation
Sergey S. Chaplygin – Cand. Sci. (Med.), associate professor, director of the Institute of innovative development
Russian Federation
Sergey S. Chaplygin – Cand. Sci. (Med.), associate professor, director of the Institute of innovative development
89 Chapaevskaya str., Samara 443099
SPIN: 1573-0020
AuthorID: 602827
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Review
For citations:
Balandina A.V., Zelter P.M., Kapishnikov A.V., Kozlov S.V., Kolsanov A.V., Chaplygin S.S. Information technology for the analysis of CT perfusion in assessing the effectiveness of treatment for glioblastoma. Research and Practical Medicine Journal. 2020;7(3):83-90. (In Russ.) https://doi.org/10.17709/2409-2231-2020-7-3-8
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