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一项观察性比较研究,以评估影像引导手术在幕上颅内占位性病变的管理及预后中的应用。

An Observational Comparative Study to Evaluate the Use of Image-Guided Surgery in the Management and Outcome of Supratentorial Intracranial Space-Occupying Lesions.

作者信息

Patnaik Ashis, Guruprasad N, Sekar Arunkumar, Bansal Sumit, Sahu Rabi N

机构信息

Department of Neurosurgery, All India Institute of Medical Sciences, Bhubaneswar, Odisha, India.

出版信息

J Pharm Bioallied Sci. 2024 Feb;16(Suppl 1):S589-S591. doi: 10.4103/jpbs.jpbs_881_23. Epub 2024 Feb 29.

Abstract

OBJECTIVES

The objective of this article is to study the effect of neuronavigation on the outcome of surgery for supratentorial tumors, such as the extent of resection, size of craniotomy, and overall morbidity and mortality by comparing with conventional excision.

METHODS

A total of 50 patients undergoing intracranial surgery for supratentorial space-occupying lesions from 2020 to 2022 were included in the study. One intervention group consisted of patients undergoing surgical resection of supratentorial tumors utilizing image guidance versus the control group, which consisted of patients undergoing surgical excision of supratentorial tumor excision without image guidance. Parameters used to compare the outcome were the extent of resection of the lesions, craniotomy size, and overall morbidity and mortality.

RESULTS AND CONCLUSION

There was no significant reduction in craniotomy size or prolongation of operative duration with the use of neuronavigation. There was no significant difference in postoperative hospital stay between the two groups. Neuronavigation-assisted cases did not show any significant reduction in the occurrence of postoperative neurological deficits or any reduction of overall morbidity and mortality.

摘要

目的

本文旨在通过与传统切除术对比,研究神经导航对幕上肿瘤手术结果的影响,如切除范围、开颅大小以及总体发病率和死亡率。

方法

本研究纳入了2020年至2022年期间共50例接受幕上占位性病变颅内手术的患者。一个干预组由利用影像引导进行幕上肿瘤手术切除的患者组成,而对照组由未使用影像引导进行幕上肿瘤切除手术的患者组成。用于比较结果的参数包括病变切除范围、开颅大小以及总体发病率和死亡率。

结果与结论

使用神经导航并未显著减小开颅大小或延长手术时间。两组术后住院时间无显著差异。神经导航辅助的病例在术后神经功能缺损的发生率上没有任何显著降低,总体发病率和死亡率也未降低。

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本文引用的文献

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DeepNavNet: Automated Landmark Localization for Neuronavigation.
Front Neurosci. 2021 Jun 17;15:670287. doi: 10.3389/fnins.2021.670287. eCollection 2021.
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