新開発のアプリが脳室穿刺術の安全性と精度を向上 (A new Concordia-developed app can greatly improve ventriculostomy safety and accuracy)

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2025-03-19 コンコルディア大学

コンコーディア大学の研究者は、脳室穿刺術(ベントリキュロストミー)の精度と安全性を向上させる拡張現実(AR)技術「iSurgARy」を開発した。脳室穿刺術は脳脊髄液を排出し頭蓋内圧を軽減する手術だが、フリーハンドの手技では約30%の確率でカテーテルの誤配置が発生し、重篤な合併症を引き起こす可能性がある。iSurgARyは、ARを活用して脳室を視覚的に表示し、外科医が正確にターゲットを設定できるよう支援する。特に医療資源の限られた地域での活用が期待される。

<関連情報>

iSurgARy: 資源に乏しい環境における脳室切開のためのモバイル拡張現実ソリューション iSurgARy: A mobile augmented reality solution for ventriculostomy in resource-limited settings

Zahra Asadi, Joshua Pardillo Castillo, Mehrdad Asadi, David S. Sinclair, Marta Kersten-Oertel
Healthcare Technology Letters  Published: 15 January 2025
DOI:https://doi.org/10.1049/htl2.12118

新開発のアプリが脳室穿刺術の安全性と精度を向上 (A new Concordia-developed app can greatly improve ventriculostomy safety and accuracy)

Abstract

Global disparities in neurosurgical care necessitate innovations addressing affordability and accuracy, particularly for critical procedures like ventriculostomy. This intervention, vital for managing life-threatening intracranial pressure increases, is associated with catheter misplacement rates exceeding 30% when using a freehand technique. Such misplacements hold severe consequences including haemorrhage, infection, prolonged hospital stays, and even morbidity and mortality. To address this issue, a novel, stand-alone mobile-based augmented reality system (iSurgARy) aimed at significantly improving ventriculostomy accuracy, particularly in resource-limited settings such as those in low- and middle-income countries is presented. iSurgARy uses landmark based registration by taking advantage of light detection and ranging to allow for accurate surgical guidance. To evaluate iSurgARy, a two-phase user study is conducted. Initially, the usability and learnability is assessed with novice participants using the system usability scale (SUS), incorporating their feedback to refine the application. In the second phase, human-computer interaction and clinical domain experts are engaged to evaluate this application, measuring root mean square error, SUS and NASA task load index metrics to assess accuracy usability, and cognitive workload, respectively.

医療・健康
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