Tamayo LYI, Martínez FY, Álvarez ED, Alfonso LMEH, Rojas ZY

Language: Spanish
References: 15
Page: 1320-1336
PDF size: 466.62 Kb.

ABSTRACT

Astrocytomas are brain tumors with a high frequency of occurrence. A non-experimental study with descriptive and analytical component was carried out, with the objective of determining the predictive value of tomographic variables in the diagnosis of cerebral astrocytomas in 52 patients with tomographic diagnosis of cerebral neoplasia confirmed by Computed Axial Tomography (CT) of the skull treated at the Carlos Manuel de Céspedes Bayamo Hospital in the period from January 2017 to December 2018. In the present study we found that the region most frequently affected by astrocytomas was the frontoparietal followed by the frontal and temporal region. The tomographic study diagnosed 23 patients with the diagnosis of astrocytomas and 29 as non-astrocytomas, high sensitivity and specificity were found, as well as high positive and negative predictive values. As for the tomographic variables evaluated, the low contrast enhancement and hypodensity had high sensitivity and specificity, as well as their predictive values of what turns out to be useful characteristics in the diagnosis. The validity index calculated both in the tomography and in the variables studied in a general sense brings high veracity.

REFERENCES

1. Den Hollander M, Bensch F, Glaudemans A, Oude Munnink T, Enting R, Walenkamp A, et al. TGF-β Antibody Uptake in Recurrent High-Grade Glioma Imaged with 89Zr-Fresolimumab PET. J Nuc Med 2015; 56(9): 1310-1314.

2. Fu X, Sun Z, Chang Y. Expression and clinical significance of P53, O6-methylguanine-dna methyltransferase and epidermal growth factor receptor in glioma. J Biol Regul Homeost Agents 2015; 29(4): 853-858.

3. Cala Irén M, Pons Porrata LM, Domínguez Piorno R, Salomón López J. Caracterización clinicohistopatológica, tomográfica y por resonancia magnética de pacientes menores de 15 años con tumores cerebrales. MEDISAN 2017; 21(7): 797-804.

4. Zhu X, Mou K, Xu Q, Tang J, Huang G, Lv S, et al. Microarray analysis of the aberrant microRNA expression pattern in gliomas of different grades. Oncology Reports 2015; 34(1): 318-324.

5. Castañeda CA, Casavilca S, Orrego E, García Corrochano P, Deza P, Heinike H, et al. Glioblastoma: Análisis molecular y sus implicancias clínicas. Rev Peru Med Exp Salud Pública 2015; 32(2): 316-325.

6. Martín Martínez Y, García Amelo IM, Hernández Viel Valia, Miranda Mustelier N, Domínguez Piorno R. Valor de la tomografía axial computarizada para el diagnóstico de tumores craneales supratentoriales MEDISAN 2013; 17(2): 237-305.

7. Sierra Benítez EM, León Pérez MQ, Laud Rodríguez L, Carrillo Comas AL, Pérez Ortiz L, Rodríguez Ramos E. Gliomas malignos: biología molecular y detalles oncogenéticos. Rev Médica Electrónica 2018; 40(4): 1100-1111.

8. Hathout L, Ellingson B, Cloughesy T, Pope W. Patient-specific characterization of the invasiveness and proliferation of low-grade gliomas using serial MR imaging and a mathematical model of tumor growth. Oncology Reports 2015; 33(6): 2883-2888.

9. Kros J, Huizer K, Hernández-Laín A, Marucci G, Michotte A, Gorlia T, et al. Evidence-Based Diagnostic Algorithm for Glioma: Analysis of the Results of Pathology Panel Review and Molecular Parameters of EORTC 26951 and 26882 Trials. J Clin Oncol 2015; 33(17): 1943-1950.

10. Posti J, Bori M, Kauko T, Sankinen M, Nordberg J, Sipilä J, et al. Presenting symptoms of glioma in adults. Acta Neurol Scand 2015; 131(2): 88-93.

11. Chaumeil M, Lupo J, Ronen S. Magnetic Resonance (MR) Metabolic Imaging in Glioma. Brain Pathol 2015; 25(6): 769-780.

12. Wang J, Ma Y, Cooper MK. “Cancer stem cells in glioma: Challenges and opportunities”. Transl Cancer Res 2013; 2(5): 429-441.

13. Mequins LC, Adry RA, Silva Júnior SC, Pereira CU, Oliveira JG, Morais DF, et al. Gross-total resection of temporal low grade gliomas is a critically important factor in achieving seizure-freedom. Arq NeuroPsiquiatr 2015; 73(11): 924-928.

14. Arbizu J, Domínguez PD, Diez R, Vigil C, García R, Zubieta JL, et al. Neuroimagen de los tumores cerebrales. Rev Española Med Nucl 2011; 30(1): 47-65.

15. Saldívar-Rodea CA, Guerrero-Avendaño GM, Benítez-Barradas MI, Reyes-Caldelas MA. Utilidad de la resonancia magnética en el diagnóstico y clasificación de los tumores astrocíticos. Anales de Radiología México 2016; 15(4): 279-293.