Clinical and functional image with 99tecnecio - sestamibi predictors to differentiate the grade of malignancy of brain gliomas
PDF (Español)
XML (Español)

Keywords

Brain Neoplasms
Technetium
Single-Photon Emission-Computed Tomography
MeSH)

Abstract

INTRODUCTION:

Gliomas are the most common primary tumors of the Central Nervous System. Single Photon Emission Tomography (SPECT) is a functional imaging technique that allows us to access molecular information and differentiate gliomas from each other and from other entities. It depends on the therapeutic strategy to be used and the prognosis in these patients.

OBJECTIVE:

To determine the utility of the clinical characteristics of patients on admission and of the brain SPECT with 99mTc-MIBI to differentiate the degree of malignancy of brain gliomas.

Patients and methods: An observational, descriptive and prospective study carried out in patients from "Hermanos Ameijeiras" Hospital and "Calixto García" University Hospital during the period May 2012 to February 2015. The sample consisted of 102 patients with confirmed diagnosis of brain glioma and with study of Brain SPECT with 99mTc-MIBI.

RESULTS:

The main symptoms and signs, as well as the Karnofsky index on admission did not show significant differences regarding the degree of malignancy of the brain gliomas studied. Patients with high-grade gliomas were characterized by an elevation of all tumor indices as well as quantification of activity, volumetric concentration of 99mTc-MIBI for both phases, although more marked for the late phase and retention index. Tumor / contralateral cortex index in late phase showed a sensitivity, specificity, positive and negative predictive value of 98.9%, 94.0%, 63.0%, and 99.0% respectively to differentiate the degree of malignancy of brain gliomas. Late phase / early phase ratio of the tumor / contralateral cortex index showed sensitivity values of 94.1%, specificity of 98.5%, positive predictive value of 98.7%, and negative predictive value of 98.8%. Radiopharmaceutical retention index had a sensitivity of 99%, specificity of 89%, and positive and negative predictive values of 95% and 99% respectively.

CONCLUSION:

The combination of: Tumor / contralateral cortex index in late phase, late phase / early phase ratio of the tumor / contralateral cortex index, and radiopharmaceutical retention index are the most useful parameters for predicting the degree of malignancy of brain gliomas using SPECT with 99mTc-MIBI.

https://doi.org/10.22379/24224022137

PDF (Español)
XML (Español)

References

Rigau V, Zouaoui S, Mathieu-Daudé H, Darlix A, Maran A, Trétarre B, et al. French brain tumor database: 5-year histological results on 25 756 cases. Brain Pathol. 2011; 21(6):633-44. http://dx.doi.org/10.1111/j.1750-3639.2011.00491.x.

Sathornsumetee S, Reardon D. High-Grade Astrocytomas. In: A.D. Norden et al. Primary Central Nervous System Tumors Current Clinical Oncology. Springer Science and Business Media: LLC2011. Charlottesville, VA, USA; 2007.p. 173.

Reyes GA. Gliomas del adulto: acercamiento al diagnóstico y tratamiento. Acta Neurol Colomb. 2008;25(1):34-41.

Sherman J, Weintraub D, Lopes B, Schiff D. Low-Grade Gliomas. In: A.D. Norden et al. Primary Central Nervous System Tumors Current Clinical Oncology. Springer Science and Business Media: LLC2011. Charlottesville, VA, USA; 2007.p. 173.

Arbizu J, Domínguez Pd, Diez-Valle R, Vigil C, García-Eulate R, Zubieta Jl, et al. Neuroimagen de los tumores cerebrales. Rev Esp Med Nucl. 2011;308(1):47-65.

Jensen, P, et al. TSPO imaging in glioblastoma multiforme: a direct comparison between 123I-CLINDE SPECT, 18F-FET PET, and gadolinium-enhanced MR imaging. J Nucl Med. 2015;56(9):386-90.

Juni Je, Waxman Ad, Devous Md, Tikofsky Rs, Ichise M, Van Heertum Rl, et al. Procedure guideline for brain perfusion SPECT using 99mTc radiopharmaceuticals 3.0. J Nucl Med Technol.2009;37(3):191-5. http://dx.doi.org/10.2967/jnmt.109.067850

Alexiou Ga, Xourgia X, Vartholomatos E, Tsiouris S, Kalef-Ezra Ja, Fotopoulos Ad, et al. Comparison of 99mTc-Tetrofosmin and 99mTc-Sestamibi uptake in glioma cell lines: the role of P-Glycoprotein expression. Molecular Imaging. 2014. http://dx.doi.org/10.1155/2014/471032

Mena LM, Martín F, Bravo C, Santos AB, Escabia MV, Jiménez IR. SPECT con 99mTc-MIBI en el estudio del linfoma cerebral. Rev Esp Med Nucl. 2011; 30(6):380 -81. http://dx.doi.org/10.1016/j.remn.2011.03.017

Kuwako T, Mizumura S, Murakami R, Yoshida T, Shiima M, Sato T, et al. Voxel-based analysis of 201Tl SPECT for grading and diagnostic accuracy of gliomas: comparison with ROI analysis. Ann Nucl Med. 2013;27(6):493-501. http://dx.doi.org/10.1007/s12149-013-0711-y

Ostromqt, Bauchet L, Davis Fg, Deltour I, Fisher JL, Eastman C, et al. The epidemiology of glioma in adults: a "state of the science" review. Neuro Oncol. 2014;16(7):896-913. https://doi.org/10.1093/neuonc/nou087

Wen Py, Kesari S. Malignant gliomas in adults. N Engl J Med. 2008; 359(5):492-507. https://doi.org/10.1056/NEJMra0708126.

Trabelsi S, H'mida Ben D, Ladib M, Nadia M, Harrabi I, TKli K, et al. Glioma epidemiology in the Central Tunisian Population: 1993-2012. Asia Pac J Cancer Prev. 2014;15(20):8753-7. https://doi.org/10.7314/APJCP.2014.15.20.875

Jazayeri SB, Rahimi-Movaghar V, Shokraneh F. Epidemiology of primary CNS tumors in Iran: a systematic review. Asian Pac J Cancer Prev. 2013; 14(16):3979-85.

Crocetti E, Trama A, Stiller C. Epidemiology of glial and non-glial brain tumours in Europe. Eur J Cancer. 2012;48(0):1532-42. https://doi.org/10.1016/j.ejca.2011.12.013

Manoharan N, Julka Pk, Rath Gk. Descriptive epidemiology of primary brain and CNS tumors in Delhi, 2003-2007. Asian Pac J Cancer Prev. 2012;13(2):637-40.

Chen S, Tanaka S, Giannini C, Morris J, Yan Es, Buckner J, et al. Gliomatosis cerebri: clinical characteristics, management, and outcomes. J Neurooncol. 2013;112(2):267-5. https://doi.org/10.1007/s11060-013-1058-x

Kabat GC, Park Y, Hollenbeck Ar, Schatzkin A, Rohan Te. Reproductive Factors and Exogenous Hormone Use and Risk of Adult Glioma in Women in the NIH-AARP Diet and Health Study. Int J Cancer. 2011;128(4):944-50. https://doi.org/10.1002/ijc.25413

Zhen-YU Q, Chuan S, Xin Z, Guo-Zhen H, Zhong W Exogenous and endogenous hormones in relation to glioma in women: A meta-analysis of 11 case-control studies. PLOS One. 2013;8(7):e68695. https://doi.org/10.1371/journal.pone.0068695

Rodríguez MY, Villafuerte D, Conde T, Díaz O, Martínez A, Rivero Cr. Caracterización tomográfica e histológica de los tumores intracraneales. Medisur: Revista de Ciencias Médicas de Cienfuegos. 2010;8(2):72. ISSN:1727-897X.

Rodríguez R, Lombardo K, Roldán G, Silvera J, Lagomarsino R. Glioblastoma multiforme cerebral hemisférico. Análisis de sobrevida de 65 casos tratados en el Departamento de Oncología del Hospital de Clínicas, desde 1980 a 2000. Rev Méd Urug. 2012;28(4):250-261.

Bhurgri Y, Bhurgri H, Kayani N, Ahmad R, Usman A, Bhurgri A, et al. Trends and morphology of central nervous system malignancies in Karachi. Asian Pac J Cancer Prev 2011;12(18):2013-7.

Hollen PJ, Gralla RJ, Stewart JA, Chin C, Bizette GA, Leighl NB, et al. A prospective comparison of Karnofsky (KPS) with ECOG performance status in patients with non-small cell lung cancer (NSCLC): A COMET group study investigating sensitivity and specificity issues important in clinical decision making. J Clin Oncol. 2005;23(16 Supl)1834.

Deltuva VP, Jurkiene N, Kulakiene I, Bunevicius A, Matukevicius A, Tamasauskas A. Introduction of novel semiquantitative evaluation of 99mTc-MIBI SPECT before and after treatment of glioma. Medicina (Kaunas). 2012; 48(1):15-21.

Amin A, Moustafa H, Ahmed E, El-Toukhy M. Glioma residual or recurrence versus radiation necrosis: accuracy of pentava-lent technetium-99m-dimercaptosuccinic acid [Tc-99m(V) DMSA] brain SPECT compared to proton magnetic resonanc-espectroscopy (1H-MRS): initial results. J Neurooncol. 2012; 106(3):579-87. https://doi.org/10.1007/s11060-011-0694-2.

Le Jeune FP, Dubois F, Blond S, Steinling M. Sestamibitechne-tium-99m brain single-photon emission computed tomography to identify recurrent glioma in adults: 201 studies. J Neuroon col. 2006;77(2):177-83.

Palumbo B, Lupattelli M, Pelliccioli Gp, Chiarini P, Moschini To, Palumbo I, et al. Association of 99mTc-MIBI brain SPECT andproton magnetic resonance spectroscopy (1H-MRS) to assess glioma recurrence after radiotherapy. Q J Nucl Med Mol Imaging. 2006;50(1):88-93.

Shibata Y, Yamamoto D, Takano S, Katayama W, Takeda T, Matsumura A. Direct comparison of Tl-201 and Tc-99m MIBI Spect of glioma by a receiver operating characteristic analysis. J Clin Neurosci. 2009;16(2):264-9.

Karunanithi S, Bandopadhyaya Gp, Sharma P, Kumar A, Singla S, Malhotra A, et al. Prospective comparison of (99m)Tc-GHSPECT/CT and (18)F-FDOPAPET/CT for detection of recurrent glioma: a pilot study. Clin Nucl Med. 2014;39(2):e121-8. https://doi.org/10.1097/RLU.0b013e318279bcd8

Rapp M, Heinzel A, Galldiks N, Stoffels G, Felsberg J, Ewelt C, et al. Diagnostic performance of 18F-FET PET in newly diagnosed cerebral lesions suggestive of glioma. J Nucl Med. 2013;54(2):229-35. https://doi.org/10.2967/jnumed.112.109603

Otsuka H, Shinbata H, Hieda M, Yamashita K, Kitamura H, Senba T, et al. The retention indices of 201Tl-SPECT in brain tumors. Ann Nucl Med. 2002; 16(7):455-9.

Tsitsia V, Svolou P, Kapsalaki E, Theodorou K, Vassiou K, Valotassiou V, et al. Multimodality - multiparametric brain tumors evaluation. Hell J Nucl Med. 2017; 20(1):57-61.

Cheng X, Li Y, Xu Z, Li D, Wang J. A meta- analysis of 99mTc-MIBI SPECT for detection of recurrent glioma after radiation therapy. J Clin Neurosci. 2011; 18:307- 12.

Delgado RC, Pérez MJ, Carreras JL. PET y SPECT en el diagnóstico de los gliomas y sus recidivas. En: Reyes Oliveros F, Lema Bouza M. Gliomas del encéfalo. Servizo de Publicacións e Intercambio Científico Campus Universitario Sur. Universidad de Santiago de Compostela: 2007. P. 245. ISBN: 978-84-9750813-1.

Gao H, Jiang X. Progress on the diagnosis and evaluation of brain tumors. Cancer Imaging. 2013;13(4):466-81. https://doi.org/10.1102/1470-7330.2013.0039

Zhang H, Ma L, Wu C, Xu B. Performance of SPECT in the differential diagnosis of glioma recurrence from radiation necrosis. J Clin Neurosci. 2015;22(2): 229-37. http://dx.doi.org/10.1016/j.jocn.2014.06.102

León R, López DA, Martín JM; Miranda Jl, Fernández L, Salva S. SPECT Cerebral con 99 Tc- MIBI para diferenciar una lesión vascular isquémica de un tumor cerebral. Presentación de dos casos. Archivos del Hospital Universitario "General Calixto García". 2016;4(2):59-63. http://dx.doi.org/10.2013/ahcg.v4i2.132

León CR, Cepero LK, Rodríguez RC, Castro JM, Fernández L, López DA, Martín JM. Spect Cerebral con 99Tc- MIBI para discriminar entre infiltración tumoral y absceso cerebral en casos de tomografía computarizada y resonancia magnética no concluyentes. Presentación de un caso. Acta Neurol Colomb. 2016;32(1):48-53.

Angileri F, Minutoli F, La Torre D, Baldari S. Hemorrhagic brain neoplasm-99mTc methoxyisobutyl isonitrile-single photon emission computed tomography. In methods of cancer diagnosis, therapy, and prognosis. Springer Netherlands. 2011;203-213.

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Downloads

Download data is not yet available.