Endoport-assisted Neuroendoscopic Techniques Used in the Resection of Intraventricular Lesions.


Journal

Turkish neurosurgery
ISSN: 2651-5032
Titre abrégé: Turk Neurosurg
Pays: Turkey
ID NLM: 9423821

Informations de publication

Date de publication:
2023
Historique:
medline: 30 10 2023
pubmed: 11 8 2021
entrez: 10 8 2021
Statut: ppublish

Résumé

To investigate the safety and efficacy of endoport-assisted endoscopic techniques for removing intraventricular lesions. Data of patients with intraventricular lesions who were surgically treated by endoport-assisted endoscopic resection between January 2018 and February 2019 were retrospectively reviewed. The surgical procedures, complications and outcomes were analyzed. A total of 11 patients, with a mean age of 33 years (5-70 years) were included in the study. The mean Karnofsky Performance Scale (KPS) score evaluated on admission was 50.0 ± 7.0. Lesions located in the unilateral ventricle, the third ventricle and multiple sites of ventricles were recorded in 7, 2 and 2 patients, respectively. The average lesion size was 3.4 ± 0.4 cm (2-6 cm). Gross-total removal of all lesions was achieved, and all patients experienced a stable recovery after operations except for one hemorrhage and one visual field defect occurring in two patients in the early postoperative period. With a follow-up of 6-19 months, dysfunctions and complications occurring pre- or postoperation gradually recovered to different degrees. The mean KPS score was 85.5 ± 4.3 at the last follow-up, and no tumor recurrence was observed in any of the patients. Endoport-assisted endoscopic techniques could be a simple, minimally invasive surgical method in the resection of lesions located in the lateral ventricle, the third ventricle, or both with acceptable surgical complications occurring in patients.

Identifiants

pubmed: 34374979
doi: 10.5137/1019-5149.JTN.32824-20.5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

929-935

Auteurs

Sungel Xie (S)

The Affiliated Hospital of Zunyi Medical University, Department of Neurosurgery, Guizhou, China.

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Classifications MeSH