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微创脊柱手术中硬脊膜切开修补的模拟结果。

Simulated outcomes for durotomy repair in minimally invasive spine surgery.

机构信息

Department of Neurosurgery, Georgetown University School of Medicine, 3900 Reservoir Rd NW, Washington, D.C., 20007, USA.

Department of Neurological Surgery, Keck School of Medicine of University of Southern California, 1200 North State St., Suite 3300, Los Angeles, CA, 90033, USA.

出版信息

Sci Data. 2024 Jan 10;11(1):62. doi: 10.1038/s41597-023-02744-5.

DOI:10.1038/s41597-023-02744-5
PMID:38200013
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10781746/
Abstract

Minimally invasive spine surgery (MISS) is increasingly performed using endoscopic and microscopic visualization, and the captured video can be used for surgical education and development of predictive artificial intelligence (AI) models. Video datasets depicting adverse event management are also valuable, as predictive models not exposed to adverse events may exhibit poor performance when these occur. Given that no dedicated spine surgery video datasets for AI model development are publicly available, we introduce Simulated Outcomes for Durotomy Repair in Minimally Invasive Spine Surgery (SOSpine). A validated MISS cadaveric dural repair simulator was used to educate neurosurgery residents, and surgical microscope video recordings were paired with outcome data. Objects including durotomy, needle, grasper, needle driver, and nerve hook were then annotated. Altogether, SOSpine contains 15,698 frames with 53,238 annotations and associated durotomy repair outcomes. For validation, an AI model was fine-tuned on SOSpine video and detected surgical instruments with a mean average precision of 0.77. In summary, SOSpine depicts spine surgeons managing a common complication, providing opportunities to develop surgical AI models.

摘要

微创脊柱手术 (MISS) 越来越多地采用内窥镜和显微镜可视化技术进行,所捕获的视频可用于手术教育和预测人工智能 (AI) 模型的开发。描述不良事件管理的视频数据集也很有价值,因为如果预测模型没有暴露在不良事件中,当这些事件发生时,它们的表现可能不佳。鉴于目前尚无专门用于 AI 模型开发的脊柱手术视频数据集,我们引入了微创脊柱手术硬脊膜切开术修复的模拟结果 (SOSpine)。我们使用经过验证的微创脊柱手术硬脑膜修复模拟器对神经外科住院医师进行教育,并对手术显微镜视频记录进行了结果数据配对。然后对包括硬脊膜切开术、针、抓钳、持针器和神经钩在内的物体进行了标注。SOSpine 共包含 15698 帧,有 53238 个标注和相关的硬脊膜切开术修复结果。为了进行验证,我们对 SOSpine 视频进行了 AI 模型微调,该模型检测手术器械的平均准确率为 0.77。总之,SOSpine 描绘了脊柱外科医生处理常见并发症的过程,为开发外科 AI 模型提供了机会。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/f4233eaaef78/41597_2023_2744_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/2a8770d14ef4/41597_2023_2744_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/3264ebc6549b/41597_2023_2744_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/5aeae50534fb/41597_2023_2744_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/f4233eaaef78/41597_2023_2744_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/2a8770d14ef4/41597_2023_2744_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/3264ebc6549b/41597_2023_2744_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/5aeae50534fb/41597_2023_2744_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a4b9/10781746/f4233eaaef78/41597_2023_2744_Fig4_HTML.jpg

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