Eficacia de la Ecografía Operatoria más Neuronavegación para la Cirugía de Glioma Cerebral: Experiencia De 2 Años en un solo Centro en un País en Desarrollo
Palabras clave:
glioma cerebral, imagen operatoria, ecografía
Resumen
Antecedentes: los datos preoperatorios de resonancia magnética han sido el patrón oro para el diagnóstico y tratamiento de los gliomas malignos durante décadas, y la ultrasonografía operatoria para el manejo de pacientes con patologías neurológicas que requieren tratamiento quirúrgico también se ha utilizado durante muchos años, ya que proporciona una guía de imagen para el procedimiento quirúrgico adicional a las técnicas de neuronavegación. El objetivo principal de este estudio es averiguar si el uso de la ultrasonografía operatoria en la cirugía del glioma puede aportar un mayor beneficio en la resección total de los gliomas cerebrales y cómo influye la mejora del grado de resección neoplásica en la supervivencia de los pacientes. Métodos: estudio prospectivo de casos y controles que se realizó en el Centro Médico ISSEMyM Licenciado Arturo Montiel Rojas, de pacientes con diagnóstico histopatológico de glioma cerebral tratados por el servicio de neurocirugía en el periodo comprendido entre enero de 2018 y diciembre de 2020. Resultados: Se incluyeron 32 pacientes, con 13 pacientes (40,6%) con astrocitoma grado IV. Se utilizó USG + NNV operatoria en 17 pacientes y se consiguió una resección subtotal o total en el 75% de los pacientes, con una volumetría postoperatoria significativamente menor en los pacientes intervenidos mediante NNV + USG (5,6mm3 + 2,5), en comparación con la NNV sola (8mm3 + 2,8) Sin embargo, estos resultados no afectaron al tiempo libre de tumor, que fue comparable entre ambos grupos. Conclusiones: El tratamiento quirúrgico de los gliomas cerebrales con USG + NNV tiene un buen grado de resección tumoral en comparación con los tratados sólo con NNV, pero el principal factor que afecta a la supervivencia es el grado histofatológico del tumor.
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1. Bal J, Camp SJ, Nandi D. The use of ultrasound in intracranial tumor surgery. Acta neurochirurgica. 2016;158(6): 1179-1185. https://doi.org/10.1007/s00701-016-2803-7
2. Chacko AG, Kumar NK, Chacko G, Athyal R, Rajshekhar V. Intraoperative ultrasound in determining the extent of resection of parenchymal brain tumours--a comparative study with computed tomography and histopathology. Acta neurochirurgica. 2003;145(9): 743-748; discussion 748. https://doi.org/10.1007/s00701-003-0009-2
3. Choi YS, Ahn SS, Chang JH, et al. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction. European radiology. 2020;30(7): 3834-3842. https://doi.org/10.1007/s00330-020-06737-5
4. Divani AA, Majidi S, Luo X, et al. The ABCs of accurate volumetric measurement of cerebral hematoma. Stroke. 2011;42(6): 1569-1574. https://doi.org/10.1161/strokeaha.110.607861.
5. Figueroa J, Morell A, Bowory V, et al. Minimally invasive keyhole temporal lobectomy approach for supramaximal glioma resection: A safety and feasibility study. Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia. 2020;72: 57-62.
https://doi.org/10.1016/j.jocn.2020.01.031.
6. Garton ALA, Kinslow CJ, Rae AI, et al. Extent of resection, molecular signature, and survival in 1p19q-codeleted gliomas. Journal of neurosurgery. 2020;134(5): 1357-1367.
https://doi.org/10.3171/2020.2.jns192767.
7. Zhou H, Vallières M, Bai HX, et al. MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro-oncology. 2017;19(6): 862-870.
https://doi.org/10.1093/neuonc/now256.
8. Hammoud MA, Ligon BL, elSouki R, Shi WM, Schomer DF, Sawaya R. Use of intraoperative ultrasound for localizing tumors and determining the extent of resection: a comparative study with magnetic resonance imaging. Journal of neurosurgery. 1996;84(5): 737-741.
https://doi.org/10.3171/jns.1996.84.5.0737.
9. Hassan H, Pinches A, Picton SV, Phillips RS. Survival rates and prognostic predictors of high grade brain stem gliomas in childhood: a systematic review and meta-analysis. Journal of neuro-oncology. 2017;135(1): 13-20. https://doi.org/10.1007/s11060-017-2546-1.
10. Hervey-Jumper SL, Berger MS. Maximizing safe resection of low- and high-grade glioma. Journal of neuro-oncology. 2016;130(2): 269-282. https://doi.org/10.1007/s11060-016-2110-4
11. Kaale AJ, Rutabasibwa N, McHome LL, et al. The use of intraoperative neurosurgical ultrasound for surgical navigation in low- and middle-income countries: the initial experience in Tanzania. Journal of neurosurgery. 2020: 1-8. https://doi.org/10.3171/2019.12.jns192851.
12. Kuhnt D, Bauer MH, Nimsky C. Brain shift compensation and neurosurgical image fusion using intraoperative MRI: current status and future challenges. Critical reviews in biomedical engineering. 2012;40(3): 175-185. https://doi.org/10.1615/critrevbiomedeng.v40.i3.20.
13. Louis DN, Perry A, Wesseling P, et al. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro-oncology. 2021;23(8): 1231-1251.
https://doi.org/10.1093/neuonc/noab106.
14. Mair R, Heald J, Poeata I, Ivanov M. A practical grading system of ultrasonographic visibility for intracerebral lesions. Acta neurochirurgica. 2013;155(12): 2293-2298.
https://doi.org/10.1007/s00701-013-1868-9.
15. Mattei L, Prada F, Legnani FG, Perin A, Olivi A, DiMeco F. Neurosurgical tools to extend tumor resection in hemispheric low-grade gliomas: conventional and contrast enhanced ultrasonography. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery. 2016;32(10): 1907-1914. https://doi.org/10.1007/s00381-016-3186-z.
16. Moiyadi AV, Shetty P, John R. Non-enhancing gliomas: does intraoperative ultrasonography improve resections? Ultrasonography (Seoul, Korea). 2019;38(2): 156-165.
https://doi.org/10.14366/usg.18032.
17. Mursch K, Scholz M, Brück W, Behnke-Mursch J. The value of intraoperative ultrasonography during the resection of relapsed irradiated malignant gliomas in the brain. Ultrasonography (Seoul, Korea). 2017;36(1): 60-65. https://doi.org/10.14366/usg.16015.
18. Nikas DC, Hartov A, Lunn K, Rick K, Paulsen K, Roberts DW. Coregistered intraoperative ultrasonography in resection of malignant glioma. Neurosurgical focus. 2003;14(2): e6. https://doi.org/10.3171/foc.2003.14.2.7.
19. Ostrom QT, Gittleman H, Stetson L, Virk SM, Barnholtz-Sloan JS. Epidemiology of gliomas. Cancer treatment and research. 2015;163: 1-14. https://doi.org/10.1007/978-3-319-12048-5_1.
20. Perry A, Wesseling P. Histologic classification of gliomas. Handbook of clinical neurology. 2016;134: 71-95. https://doi.org/10.1016/b978-0-12-802997-8.00005-0.
21. Rygh OM, Selbekk T, Torp SH, Lydersen S, Hernes TA, Unsgaard G. Comparison of navigated 3D ultrasound findings with histopathology in subsequent phases of glioblastoma resection. Acta neurochirurgica. 2008;150(10): 1033-1041; discussion 1042.
https://doi.org/10.1007/s00701-008-0017-3.
22. Sæther CA, Torsteinsen M, Torp SH, Sundstrøm S, Unsgård G, Solheim O. Did survival improve after the implementation of intraoperative neuronavigation and 3D ultrasound in glioblastoma surgery? A retrospective analysis of 192 primary operations. Journal of neurological surgery Part A, Central European neurosurgery. 2012;73(2): 73-78. https://doi.org/10.1055/s-0031-1297247 .
23. Serra C, Stauffer A, Actor B, et al. Intraoperative high frequency ultrasound in intracerebral high-grade tumors. Ultraschall in der Medizin (Stuttgart, Germany : 1980). 2012;33(7): E306-E312. https://doi.org/10.1055/s-0032-1325369 .
24. Tronnier VM, Bonsanto MM, Staubert A, Knauth M, Kunze S, Wirtz CR. Comparison of intraoperative MR imaging and 3D-navigated ultrasonography in the detection and resection control of lesions. Neurosurgical focus. 2001;10(2): E3. https://doi.org/10.3171/foc.2001.10.2.4
25. Van den Bent MJ, Chang SM. Grade II and III Oligodendroglioma and Astrocytoma. Neurologic clinics. 2018;36(3): 467-484. https://doi.org/10.1016/j.ncl.2018.04.005.
26. Woydt M, Krone A, Becker G, Schmidt K, Roggendorf W, Roosen K. Correlation of intra-operative ultrasound with histopathologic findings after tumour resection in supratentorial gliomas. A method to improve gross total tumour resection. Acta neurochirurgica. 1996;138(12): 1391-1398. https://doi.org/10.1007/bf01411117 .
27. Wu DF, He W, Lin S, Han B, Zee CS. Using Real-Time Fusion Imaging Constructed from Contrast-Enhanced Ultrasonography and Magnetic Resonance Imaging for High-Grade Glioma in Neurosurgery. World neurosurgery. 2019;125: e98-e109.
https://doi.org/10.1016/j.wneu.2018.12.215
28. Zhang B, Yan J, Chen W, et al. Machine learning classifiers for predicting 3-year progression-free survival and overall survival in patients with gliomas after surgery. Journal of Cancer. 2021;12(6): 1604-1615. https://doi.org/10.7150/jca.52183
Pintos, M. M. (2022). La responsabilidad social de los abogados. Estudios Y Perspectivas Revista Científica Y Académica , 2(2), 92–114. https://doi.org/10.61384/r.c.a.v2i2.23
Cristaldo, F., & Morales , F. (2020). El Estrés y su Papel en la Epidemia de Obesidad: Una Revisión de la Literatura. Revista Científica De Salud Y Desarrollo Humano, 1(1), 60–73. https://doi.org/10.61368/r.s.d.h.v1i1.10
Cruz Rosas, J., & Oseda Gago, D. (2022). Design thinking en la creatividad de los estudiantes de administración de empresas, en una universidad de Trujillo - 2020. Emergentes - Revista Científica, 2(1), 57-70. https://doi.org/10.37811/erc.v1i2.13
Salazar Ceciliano, L. F., & Vargas Morales, R. (2023). Propuesta de Herramienta de Modelo de Costos para Cobrar Servicios Profesionales en Diseño Publicitario. Sapiencia Revista Científica Y Académica , 3(1), 24-38. https://doi.org/10.61598/s.r.c.a.v3i1.38
European Commission. (2023). Ethical Guidelines on the Use of Artificial Intelligence (AI) and Data in Teaching and Learning for Educators. Available online: https://op.europa.eu/en/publication-detail/-/publication/d81a0d54-5348-11ed-92ed-01aa75ed71a1/language-en (accessed on 18 November 2023)
2. Chacko AG, Kumar NK, Chacko G, Athyal R, Rajshekhar V. Intraoperative ultrasound in determining the extent of resection of parenchymal brain tumours--a comparative study with computed tomography and histopathology. Acta neurochirurgica. 2003;145(9): 743-748; discussion 748. https://doi.org/10.1007/s00701-003-0009-2
3. Choi YS, Ahn SS, Chang JH, et al. Machine learning and radiomic phenotyping of lower grade gliomas: improving survival prediction. European radiology. 2020;30(7): 3834-3842. https://doi.org/10.1007/s00330-020-06737-5
4. Divani AA, Majidi S, Luo X, et al. The ABCs of accurate volumetric measurement of cerebral hematoma. Stroke. 2011;42(6): 1569-1574. https://doi.org/10.1161/strokeaha.110.607861.
5. Figueroa J, Morell A, Bowory V, et al. Minimally invasive keyhole temporal lobectomy approach for supramaximal glioma resection: A safety and feasibility study. Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia. 2020;72: 57-62.
https://doi.org/10.1016/j.jocn.2020.01.031.
6. Garton ALA, Kinslow CJ, Rae AI, et al. Extent of resection, molecular signature, and survival in 1p19q-codeleted gliomas. Journal of neurosurgery. 2020;134(5): 1357-1367.
https://doi.org/10.3171/2020.2.jns192767.
7. Zhou H, Vallières M, Bai HX, et al. MRI features predict survival and molecular markers in diffuse lower-grade gliomas. Neuro-oncology. 2017;19(6): 862-870.
https://doi.org/10.1093/neuonc/now256.
8. Hammoud MA, Ligon BL, elSouki R, Shi WM, Schomer DF, Sawaya R. Use of intraoperative ultrasound for localizing tumors and determining the extent of resection: a comparative study with magnetic resonance imaging. Journal of neurosurgery. 1996;84(5): 737-741.
https://doi.org/10.3171/jns.1996.84.5.0737.
9. Hassan H, Pinches A, Picton SV, Phillips RS. Survival rates and prognostic predictors of high grade brain stem gliomas in childhood: a systematic review and meta-analysis. Journal of neuro-oncology. 2017;135(1): 13-20. https://doi.org/10.1007/s11060-017-2546-1.
10. Hervey-Jumper SL, Berger MS. Maximizing safe resection of low- and high-grade glioma. Journal of neuro-oncology. 2016;130(2): 269-282. https://doi.org/10.1007/s11060-016-2110-4
11. Kaale AJ, Rutabasibwa N, McHome LL, et al. The use of intraoperative neurosurgical ultrasound for surgical navigation in low- and middle-income countries: the initial experience in Tanzania. Journal of neurosurgery. 2020: 1-8. https://doi.org/10.3171/2019.12.jns192851.
12. Kuhnt D, Bauer MH, Nimsky C. Brain shift compensation and neurosurgical image fusion using intraoperative MRI: current status and future challenges. Critical reviews in biomedical engineering. 2012;40(3): 175-185. https://doi.org/10.1615/critrevbiomedeng.v40.i3.20.
13. Louis DN, Perry A, Wesseling P, et al. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro-oncology. 2021;23(8): 1231-1251.
https://doi.org/10.1093/neuonc/noab106.
14. Mair R, Heald J, Poeata I, Ivanov M. A practical grading system of ultrasonographic visibility for intracerebral lesions. Acta neurochirurgica. 2013;155(12): 2293-2298.
https://doi.org/10.1007/s00701-013-1868-9.
15. Mattei L, Prada F, Legnani FG, Perin A, Olivi A, DiMeco F. Neurosurgical tools to extend tumor resection in hemispheric low-grade gliomas: conventional and contrast enhanced ultrasonography. Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery. 2016;32(10): 1907-1914. https://doi.org/10.1007/s00381-016-3186-z.
16. Moiyadi AV, Shetty P, John R. Non-enhancing gliomas: does intraoperative ultrasonography improve resections? Ultrasonography (Seoul, Korea). 2019;38(2): 156-165.
https://doi.org/10.14366/usg.18032.
17. Mursch K, Scholz M, Brück W, Behnke-Mursch J. The value of intraoperative ultrasonography during the resection of relapsed irradiated malignant gliomas in the brain. Ultrasonography (Seoul, Korea). 2017;36(1): 60-65. https://doi.org/10.14366/usg.16015.
18. Nikas DC, Hartov A, Lunn K, Rick K, Paulsen K, Roberts DW. Coregistered intraoperative ultrasonography in resection of malignant glioma. Neurosurgical focus. 2003;14(2): e6. https://doi.org/10.3171/foc.2003.14.2.7.
19. Ostrom QT, Gittleman H, Stetson L, Virk SM, Barnholtz-Sloan JS. Epidemiology of gliomas. Cancer treatment and research. 2015;163: 1-14. https://doi.org/10.1007/978-3-319-12048-5_1.
20. Perry A, Wesseling P. Histologic classification of gliomas. Handbook of clinical neurology. 2016;134: 71-95. https://doi.org/10.1016/b978-0-12-802997-8.00005-0.
21. Rygh OM, Selbekk T, Torp SH, Lydersen S, Hernes TA, Unsgaard G. Comparison of navigated 3D ultrasound findings with histopathology in subsequent phases of glioblastoma resection. Acta neurochirurgica. 2008;150(10): 1033-1041; discussion 1042.
https://doi.org/10.1007/s00701-008-0017-3.
22. Sæther CA, Torsteinsen M, Torp SH, Sundstrøm S, Unsgård G, Solheim O. Did survival improve after the implementation of intraoperative neuronavigation and 3D ultrasound in glioblastoma surgery? A retrospective analysis of 192 primary operations. Journal of neurological surgery Part A, Central European neurosurgery. 2012;73(2): 73-78. https://doi.org/10.1055/s-0031-1297247 .
23. Serra C, Stauffer A, Actor B, et al. Intraoperative high frequency ultrasound in intracerebral high-grade tumors. Ultraschall in der Medizin (Stuttgart, Germany : 1980). 2012;33(7): E306-E312. https://doi.org/10.1055/s-0032-1325369 .
24. Tronnier VM, Bonsanto MM, Staubert A, Knauth M, Kunze S, Wirtz CR. Comparison of intraoperative MR imaging and 3D-navigated ultrasonography in the detection and resection control of lesions. Neurosurgical focus. 2001;10(2): E3. https://doi.org/10.3171/foc.2001.10.2.4
25. Van den Bent MJ, Chang SM. Grade II and III Oligodendroglioma and Astrocytoma. Neurologic clinics. 2018;36(3): 467-484. https://doi.org/10.1016/j.ncl.2018.04.005.
26. Woydt M, Krone A, Becker G, Schmidt K, Roggendorf W, Roosen K. Correlation of intra-operative ultrasound with histopathologic findings after tumour resection in supratentorial gliomas. A method to improve gross total tumour resection. Acta neurochirurgica. 1996;138(12): 1391-1398. https://doi.org/10.1007/bf01411117 .
27. Wu DF, He W, Lin S, Han B, Zee CS. Using Real-Time Fusion Imaging Constructed from Contrast-Enhanced Ultrasonography and Magnetic Resonance Imaging for High-Grade Glioma in Neurosurgery. World neurosurgery. 2019;125: e98-e109.
https://doi.org/10.1016/j.wneu.2018.12.215
28. Zhang B, Yan J, Chen W, et al. Machine learning classifiers for predicting 3-year progression-free survival and overall survival in patients with gliomas after surgery. Journal of Cancer. 2021;12(6): 1604-1615. https://doi.org/10.7150/jca.52183
Pintos, M. M. (2022). La responsabilidad social de los abogados. Estudios Y Perspectivas Revista Científica Y Académica , 2(2), 92–114. https://doi.org/10.61384/r.c.a.v2i2.23
Cristaldo, F., & Morales , F. (2020). El Estrés y su Papel en la Epidemia de Obesidad: Una Revisión de la Literatura. Revista Científica De Salud Y Desarrollo Humano, 1(1), 60–73. https://doi.org/10.61368/r.s.d.h.v1i1.10
Cruz Rosas, J., & Oseda Gago, D. (2022). Design thinking en la creatividad de los estudiantes de administración de empresas, en una universidad de Trujillo - 2020. Emergentes - Revista Científica, 2(1), 57-70. https://doi.org/10.37811/erc.v1i2.13
Salazar Ceciliano, L. F., & Vargas Morales, R. (2023). Propuesta de Herramienta de Modelo de Costos para Cobrar Servicios Profesionales en Diseño Publicitario. Sapiencia Revista Científica Y Académica , 3(1), 24-38. https://doi.org/10.61598/s.r.c.a.v3i1.38
European Commission. (2023). Ethical Guidelines on the Use of Artificial Intelligence (AI) and Data in Teaching and Learning for Educators. Available online: https://op.europa.eu/en/publication-detail/-/publication/d81a0d54-5348-11ed-92ed-01aa75ed71a1/language-en (accessed on 18 November 2023)
Publicado
2024-05-02
Cómo citar
Delgado Jurado , E. J., Guerrero Suarez, P. D., Martínez Anda, J. J., Berrío Perea, E. D., Preciado Vásquez, J., Guerrero López, D. A., & Velasco Torres, H. S. (2024). Eficacia de la Ecografía Operatoria más Neuronavegación para la Cirugía de Glioma Cerebral: Experiencia De 2 Años en un solo Centro en un País en Desarrollo. Ciencia Latina Revista Científica Multidisciplinar, 8(2), 3318-3335. https://doi.org/10.37811/cl_rcm.v8i2.10760
Número
Sección
Ciencias de la Salud
Derechos de autor 2024 Ernesto Javier Delgado Jurado , Pablo David Guerrero Suarez, Jaime Jesús Martínez Anda, Edinson David Berrío Perea, Jimmy Preciado Vásquez, David Antonio Guerrero López, Héctor Sebastián Velasco Torres
Esta obra está bajo licencia internacional Creative Commons Reconocimiento 4.0.
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