[Intraoperative ultrasound-assisted surgery of spinal tumors].

Autor: Levin RS; Petrovsky National Research Centre of Surgery, Moscow, Russia., Vasiliev SA; Petrovsky National Research Centre of Surgery, Moscow, Russia., Aslanukov MN; Petrovsky National Research Centre of Surgery, Moscow, Russia., Zuev AA; Pirogov National Medical Surgical Center, Moscow, Russia., Oshchepkov SK; Petrovsky National Research Centre of Surgery, Moscow, Russia.
Jazyk: ruština
Zdroj: Zhurnal voprosy neirokhirurgii imeni N. N. Burdenko [Zh Vopr Neirokhir Im N N Burdenko] 2022; Vol. 86 (1), pp. 56-65.
DOI: 10.17116/neiro20228601156
Abstrakt: Objective: To improve technique of intraoperative ultrasound-assisted microsurgery of spinal tumors.
Material and Methods: There were 68 patients with 70 spinal tumors who underwent intraoperative ultrasound-assisted resection between 2007 and 2018. Age of patients varied from 21 to 80 (mean 48.5±14.3). Intradural tumors were diagnosed in 54 (79.4%) patients (of them intramedullary in 16 (23.5%) and extramedullary in 38 (55.9%) cases). Fourteen patients (20.6%) had extradural tumors. Intraoperative ultrasound was used to determine localization, margins and structure of tumors, interrelations with neural structures, zones of dura opening and myelotomy. We also assessed quality of resection and spinal decompression.
Results: In surgery of spinal tumors, intraoperative ultrasound allows to localize the tumor with 95.3% sensitivity, determine the character of its growth, shape, size and internal structure. One can also differentiate the margins of neoplasm, control accuracy of approach, select the optimal zone for dura opening and myelotomy, objectively assess spinal cord and nerve roots decompression in real-time mode. Quality of intraoperative ultrasonography images is comparable to preoperative MRI, and even exceed resolution of MR scans in some cases.
Conclusion: In our study, intraoperative ultrasound has proven to be a method complementing preoperative CT and MRI. This approach provides additional data in real-time mode to form a complete picture of surgical area, increase accuracy of manipulations and reduce surgical trauma.
Databáze: MEDLINE
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