135 -6 (80) 2025 - Jonibekov J.J., Panoyev A.Q. - DETERMINATION OF CHANGES IN BLOOD VESSELS OF BRAIN METASTASIS USING COMPUTER TOMOGRAPHY AND MAGNETIC RESONANCE TOMOGRAPHY

DETERMINATION OF CHANGES IN BLOOD VESSELS OF BRAIN METASTASIS USING COMPUTER TOMOGRAPHY AND MAGNETIC RESONANCE TOMOGRAPHY

Jonibekov J.J. - Bukhara State Medical Institute named after Abu Ali ibn Sina

Panoyev A.Q. - Bukhara State Medical Institute named after Abu Ali ibn Sina

Resume

In brain tumors and metastases, atypical cells disrupt the functioning of the brain and cause serious damage to blood vessels in it. As a result, the condition of patients worsens not only because of tumor or metastasis, but also because of its complications. Therefore, early diagnosis and accurate prognosis of vascular changes caused by brain metastases are very important to improve the quality of life and clinical outcomes of this category of patients. MRI and MSCT are leading in the diagnosis of brain tumors due to their high sensitivity, accuracy and availability. Complete information about cerebral blood vessels can be obtained by using methods of examination with the help of contrast material. Using this information, not only the current condition of patients is evaluated, but also their treatment tactics are planned. In turn, accurate diagnosis and the correct treatment tactics based on it lead to a decrease in the death rate in patients with brain tumors and metastases. This is one of the main tasks of modern medicine

Key words. Brain tumors, metastasis, MRI (Ge Signa 1.5T), MSCT (SIEMENS 64), contrast (MR - VISION. BIEMEXOL)

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Last page

686

For citation:Jonibekov J.J., Panoyev A.Q. - DETERMINATION OF CHANGES IN BLOOD VESSELS OF BRAIN METASTASIS USING COMPUTER TOMOGRAPHY AND MAGNETIC RESONANCE TOMOGRAPHY//New Day in Medicine 6(80)2025 683-686 https://newdayworldmedicine.com/en/new_day_medicine/6-80-2025

List of References

1. Abecassis IJ, Cordy B, Durfy S, Andre JB, Levitt MR, Ellenbogen RG, Silbergeld DL, Ko AL. Evaluating angioarchitectural characteristics of glial and metastatic brain tumors with conventional magnetic resonance imaging. J Clin Neurosci. 2020 Jun;76:46-52. doi: 10.1016/j.jocn.2020.04.051. Epub 2020 Apr 17. PMID: 32312627; PMCID: PMC10947781.
2. Barbone GE, Bravin A, Romanelli P, Mittone A, Bucci D, Gaaβ T, Le Duc G, Auweter S, Reiser MF, Kraiger MJ, Hrabě de Angelis M, Battaglia G, Coan P. Micro-imaging of Brain Cancer Radiation Therapy Using Phase-contrast Computed Tomography. Int J Radiat Oncol Biol Phys. 2018 Jul 15;101(4):965-984. doi: 10.1016/j.ijrobp.2018.03.063. Epub 2018 Apr 7. PMID: 29976510.
3. Barrick TR, Spilling CA, Ingo C, Madigan J, Isaacs JD, Rich P, Jones TL, Magin RL, Hall MG, Howe FA. Quasi-diffusion magnetic resonance imaging (QDI): A fast, high b-value diffusion imaging technique. Neuroimage. 2020 May 1;211:116606. doi: 10.1016/j.neuroimage.2020.116606. Epub 2020 Feb 4. PMID: 32032739.
4. Berk BA, Nagel S, Hering K, Paschke S, Hoffmann KT, Kortmann RD, Gaudino C, Seidel C. White matter lesions reduce number of brain metastases in different cancers: a high-resolution MRI study. J Neurooncol. 2016 Oct;130(1):203-209. doi: 10.1007/s11060-016-2235-5. Epub 2016 Aug 17. PMID: 27535745.
5. Catanese A, Malacario F, Cirillo L, Toni F, Zenesini C, Casolino D, Bacci A, Agati R. Application of intravoxel incoherent motion (IVIM) magnetic resonance imaging in the evaluation of primitive brain tumours. Neuroradiol J. 2018 Feb;31(1):4-9. doi: 10.1177/1971400917693025. Epub 2017 Jun 23. PMID: 28643545; PMCID: PMC5789988.
6. Chakhoyan A, Yao J, Leu K, Pope WB, Salamon N, Yong W, Lai A, Nghiemphu PL, Everson RG, Prins RM, Liau LM, Nathanson DA, Cloughesy TF, Ellingson BM. Validation of vessel size imaging (VSI) in high-grade human gliomas using magnetic resonance imaging, image-guided biopsies, and quantitative immunohistochemistry. Sci Rep. 2019 Feb 26;9(1):2846. doi: 10.1038/s41598-018-37564-w. PMID: 30808879; PMCID: PMC6391482.
7. Fredrickson J, Serkova NJ, Wyatt SK, Carano RA, Pirzkall A, Rhee I, Rosen LS, Bessudo A, Weekes C, de Crespigny A. Clinical translation of ferumoxytol-based vessel size imaging (VSI): Feasibility in a phase I oncology clinical trial population. Magn Reson Med. 2017 Feb;77(2):814-825. doi: 10.1002/mrm.26167. Epub 2016 Feb 26. PMID: 26918893; PMCID: PMC5677523.
8. Jia ZZ, Shi W, Shi JL, Shen DD, Gu HM, Zhou XJ. Comparison between perfusion computed tomography and dynamic contrast-enhanced magnetic resonance imaging in assessing glioblastoma microvasculature. Eur J Radiol. 2017 Feb;87:120-124. doi: 10.1016/j.ejrad.2016.12.016. Epub 2016 Dec 19. PMID: 28034567.
9. Kerkhof M, Ganeff I, Wiggenraad RGJ, Lycklama À Nijeholt GJ, Hammer S, Taphoorn MJB, Dirven L, Vos MJ. Clinical applicability of and changes in perfusion MR imaging in brain metastases after stereotactic radiotherapy. J Neurooncol. 2018 May;138(1):133-139. doi: 10.1007/s11060-018-2779-7. Epub 2018 Feb 1. PMID: 29392588; PMCID: PMC5928168.
10. Kesari A, Yadav VK, Gupta RK, Singh A. Automatic removal of large blood vasculature for objective assessment of brain tumors using quantitative dynamic contrast-enhanced magnetic resonance imaging. NMR Biomed. 2024 Nov;37(11):e5218. doi: 10.1002/nbm.5218. Epub 2024 Jul 25. PMID: 39051137.

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