与人工技术相比,基于深度学习的胫骨后斜度测量更可靠、更省时。

IF 3.3 2区 医学 Q1 ORTHOPEDICS Knee Surgery, Sports Traumatology, Arthroscopy Pub Date : 2025-01-01 Epub Date: 2024-05-26 DOI:10.1002/ksa.12241
Shang-Yu Yao, Xue-Zhi Zhang, Soumyajit Podder, Chen-Te Wu, Yi-Shen Chan, Dan Berco, Cheng-Pang Yang
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引用次数: 0

摘要

目的:导致前交叉韧带(ACL)重建手术后效果不佳的因素是多方面的。其中,胫骨后斜坡(PTS)尤为重要。本研究介绍了机器学习与人工智能(AI)的整合,以有效测量磁共振成像图像上的胫骨斜度,这是一种很有前景的解决方案。这一进步旨在加强前交叉韧带损伤的风险分层、诊断洞察力、干预预后和手术规划:本研究使用了 120 名接受前交叉韧带重建手术的患者的图像和人口统计学信息。本研究使用 120 名接受前交叉韧带重建手术的患者的图像和人口统计学信息,开发了一个人工智能驱动的模型,使用 YOLOv8 算法测量胫骨外侧后斜度。对胫骨外侧斜度、胫骨内侧斜度和胫骨纵轴测量的准确性进行了评估,结果达到了很高的可靠性。该研究采用机器学习和人工智能技术,对磁共振图像上的胫骨斜度进行客观、一致和高效的测量:结果:研究人员开发了三种不同的模型来得出基于人工智能的测量结果。研究结果显示,在胫骨外侧斜度、胫骨内侧斜度和胫骨纵轴这三个参数上,人工智能模型得出的测量值与骨科医生得出的测量值之间存在很大的相关性。具体而言,皮尔逊相关系数分别为 0.673、0.850 和 0.839。斯皮尔曼等级相关系数分别为 0.736、0.861 和 0.738。此外,类间相关系数分别为 0.63、0.84 和 0.84:本研究证实,基于深度学习的胫骨后斜坡测量方法与骨科外科医生专家的评估结果密切相关。该技术的时间效率和一致性表明其在临床实践中的实用性,有望加强工作流程、风险评估和患者治疗方案的定制:证据等级:三级,横断面诊断研究。
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Enhanced reliability and time efficiency of deep learning-based posterior tibial slope measurement over manual techniques.

Purpose: Multifaceted factors contribute to inferior outcomes following anterior cruciate ligament (ACL) reconstruction surgery. A particular focus is placed on the posterior tibial slope (PTS). This study introduces the integration of machine learning and artificial intelligence (AI) for efficient measurements of tibial slopes on magnetic resonance imaging images as a promising solution. This advancement aims to enhance risk stratification, diagnostic insights, intervention prognosis and surgical planning for ACL injuries.

Methods: Images and demographic information from 120 patients who underwent ACL reconstruction surgery were used for this study. An AI-driven model was developed to measure the posterior lateral tibial slope using the YOLOv8 algorithm. The accuracy of the lateral tibial slope, medial tibial slope and tibial longitudinal axis measurements was assessed, and the results reached high levels of reliability. This study employed machine learning and AI techniques to provide objective, consistent and efficient measurements of tibial slopes on MR images.

Results: Three distinct models were developed to derive AI-based measurements. The study results revealed a substantial correlation between the measurements obtained from the AI models and those obtained by the orthopaedic surgeon across three parameters: lateral tibial slope, medial tibial slope and tibial longitudinal axis. Specifically, the Pearson correlation coefficients were 0.673, 0.850 and 0.839, respectively. The Spearman rank correlation coefficients were 0.736, 0.861 and 0.738, respectively. Additionally, the interclass correlation coefficients were 0.63, 0.84 and 0.84, respectively.

Conclusion: This study establishes that the deep learning-based method for measuring posterior tibial slopes strongly correlates with the evaluations of expert orthopaedic surgeons. The time efficiency and consistency of this technique suggest its utility in clinical practice, promising to enhance workflow, risk assessment and the customization of patient treatment plans.

Level of evidence: Level III, cross-sectional diagnostic study.

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来源期刊
CiteScore
8.10
自引率
18.40%
发文量
418
审稿时长
2 months
期刊介绍: Few other areas of orthopedic surgery and traumatology have undergone such a dramatic evolution in the last 10 years as knee surgery, arthroscopy and sports traumatology. Ranked among the top 33% of journals in both Orthopedics and Sports Sciences, the goal of this European journal is to publish papers about innovative knee surgery, sports trauma surgery and arthroscopy. Each issue features a series of peer-reviewed articles that deal with diagnosis and management and with basic research. Each issue also contains at least one review article about an important clinical problem. Case presentations or short notes about technical innovations are also accepted for publication. The articles cover all aspects of knee surgery and all types of sports trauma; in addition, epidemiology, diagnosis, treatment and prevention, and all types of arthroscopy (not only the knee but also the shoulder, elbow, wrist, hip, ankle, etc.) are addressed. Articles on new diagnostic techniques such as MRI and ultrasound and high-quality articles about the biomechanics of joints, muscles and tendons are included. Although this is largely a clinical journal, it is also open to basic research with clinical relevance. Because the journal is supported by a distinguished European Editorial Board, assisted by an international Advisory Board, you can be assured that the journal maintains the highest standards. Official Clinical Journal of the European Society of Sports Traumatology, Knee Surgery and Arthroscopy (ESSKA).
期刊最新文献
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