Robotic-Assisted Digital Exoscope for Resection of Cerebral Metastases: A Case Series.
Oper Neurosurg (Hagerstown)
; 21(6): 436-444, 2021 11 15.
Article
em En
| MEDLINE
| ID: mdl-34561708
BACKGROUND: Surgical resection is the primary treatment for cerebral metastases with safe complete resection as the goal. The robotically assisted digital surgical exoscope is a novel system with advanced visualization methods with recent applications in neurosurgery. OBJECTIVE: To evaluate the outcomes for patients with cerebral metastases undergoing resection with the surgical exoscope. METHODS: Data were retrospectively collected from patients with cerebral metastases where resection was achieved with using the surgical exoscope from 2016 to 2020. Demographics, clinical, imaging, and operative and outcome findings were collected. The relationship between perioperative data and discharge disposition as well as progression-free survival (PFS) and 12 mo overall survival (OS) was assessed. RESULTS: A total of 31 patients (19 males) with a median patient age 63 yr (range 38-80) were included. Average pre- and postoperative volumes were 18.1 cc and 0.75 cc, respectively. Mean depth of the resected lesions was 0.6 cm (range 0-3.6 cm). Complete resection was achieved in 64.5% of patients. The mean extent of resection was 96.7%, with 71.0% achieving PFS at 6 mo. Overall PFS rate was 58.1% and the OS rate at 12 mo was 83.9%. Neurological complications included motor (35.5%) and sensory (12.9%) deficits, with 12 patients reporting no postoperative symptoms. CONCLUSION: The surgical exoscope can delineate tumor tissues with high resolution, as shown by a gross total resection achieved for the majority of cases in our series. Postoperative complications and patient outcomes were similar to those reported with use of the operative microscope. Use of the exoscope can provide optimal visualization and delineation of cerebral metastases.
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MEDLINE
Assunto principal:
Neoplasias Supratentoriais
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Procedimentos Cirúrgicos Robóticos
Idioma:
En
Ano de publicação:
2021
Tipo de documento:
Article