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Fluorescence navigation in glioma surgery using 5 ALA and chlorin E6статья
Статья опубликована в высокорейтинговом журнале
Статья опубликована в журнале из списка Web of Science и/или ScopusДата последнего поиска статьи во внешних источниках: 20 октября 2021 г.
- Авторы: Рында Артемий Юрьевич, Олюшин Виктор Емельянович, Ростовцев Дмитрий Михайлович
- Журнал: Neuro-Oncology
- Том: 23
- Номер: Suppl. 2
- Год издания: 2021
- Издательство: Duke University Press
- Местоположение издательства: United States
- Первая страница: i25
- Последняя страница: i25
- Номер статьи: P07.03
- DOI: 10.1093/neuonc/noab180.086
- Аннотация: BACKGROUND Metabolic navigation in the surgery of malignant gliomas is the most effective way to distinguish the border of the tumor during surgery and achieve a more radical resection, and as a result, to increase the recurrence interval and increase the life expectancy. MATERIAL AND METHODS A comparative analysis of fluorescent navigation was carried out in 50 patients (group 2) with glioma of a high degree of anaplasia, who were treated at the Department of Neurooncology of the A.L. prof. A.L. Polenov. In 25 patients (group 1), chlorin E6 1 mg / kg intravenously was used as a fluorescence inducer, the other 25 patients (group 2) received 5 ALA 20 mg / kg orally. Each group included 10 patients with Grade III anaplasia and 15 patients with Grade IV anaplasia. Both groups were statistically representative (p> 0.05). RESULTS For surgery of grade III glioma, the sensitivity of the method was 83.3% (chlorin E6), 82.9% (5ALA); specificity 66.7% (chlorin E6), 65.4% (5ALA). For grade IV glioma surgery, the sensitivity of the method is 87.5% (chlorin E6), 87.7% (5ALA); specificity - 85.7% (chlorin E6), 85.3% (5ALA). CONCLUSION Statistical analysis showed comparable high efficacy of the drugs in the surgery of malignant gliomas. The sensitivity and specificity of the method for fluorescent preparations of chlorin E6 and 5 ALA showed no statistically significant difference in the achievement of the result (p> 0.05)
- Добавил в систему: Рында Артемий Юрьевич