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一款用于下颌骨重建中基于知识的自动虚拟手术规划的用户友好型软件。

A User-Friendly Software for Automated Knowledge-Based Virtual Surgical Planning in Mandibular Reconstruction.

作者信息

Hagen Niclas, Freudlsperger Christian, Kühle Reinald Peter, Bouffleur Frederic, Knaup Petra, Hoffmann Jürgen, Eisenmann Urs

机构信息

Institute of Medical Informatics, Heidelberg University, 69120 Heidelberg, Germany.

Department of Oral and Maxillofacial Surgery, Heidelberg University Hospital, 69120 Heidelberg, Germany.

出版信息

J Clin Med. 2025 Jun 25;14(13):4508. doi: 10.3390/jcm14134508.

Abstract

: Virtual surgical planning (VSP) has become the gold standard in mandibular reconstructions with autografts. While commercial services are available, efforts are under way to address their shortcomings, which may include inefficiency, inconvenience, and susceptibility to error. We developed a novel approach to calculate knowledge-based reconstruction proposals. The objective of our work is to implement software for automated VSP and to evaluate it on retrospective clinical cases. : We developed software, which incorporates registration of a naturally shaped mandible, tumor resection planning, knowledge-based calculation of reconstruction proposals, and manual refinement of proposals. Three surgeons planned 21 retrospective clinical cases utilizing our software. They rated its usability via the System Usability Scale (SUS) and rated the quality of the proposed reconstructions and the final surgical plan via a five-point Likert scale (1: totally disagree-5: totally agree). : Surgeons rated the usability with an average SUS score of 76.7. Times for VSP were consistently less than 20 min. The surgeons agreed with the proposals with a mean value of 4.7 ± 0.4. In 15 cases they made minor refinements. Finally, they agreed with the final surgical plan in twenty cases (score of 5) and with minor discrepancies in one case (score of 4). : We developed an easy-to-use software for the automated VSP of mandibular reconstructions with autografts. The results demonstrate that reconstruction proposals can be calculated efficiently based on standardized rules. Our system allows surgeons to autonomously derive, compare, and rapidly refine high-quality reconstruction proposals based on key decisions.

摘要

虚拟手术规划(VSP)已成为自体骨下颌骨重建的金标准。虽然有商业服务可用,但人们正在努力解决其缺点,这些缺点可能包括效率低下、不便以及易出错。我们开发了一种新颖的方法来计算基于知识的重建方案。我们工作的目标是实现用于自动VSP的软件,并在回顾性临床病例上对其进行评估。

我们开发了一款软件,该软件集成了自然形状下颌骨的配准、肿瘤切除规划、基于知识的重建方案计算以及方案的手动优化。三位外科医生使用我们的软件规划了21例回顾性临床病例。他们通过系统可用性量表(SUS)对其可用性进行评分,并通过五点李克特量表(1:完全不同意 - 5:完全同意)对所提出的重建方案和最终手术计划的质量进行评分。

外科医生对可用性的评分为平均SUS得分为76.7。VSP的时间始终少于20分钟。外科医生对这些方案的认同度平均值为4.7±0.4。在15例病例中,他们进行了轻微的优化。最后,他们在20例病例中同意了最终手术计划(评分为5),在1例病例中有轻微差异(评分为4)。

我们开发了一款易于使用的软件,用于自体骨下颌骨重建的自动VSP。结果表明,可以根据标准化规则高效地计算重建方案。我们的系统允许外科医生基于关键决策自主推导、比较并快速优化高质量的重建方案。

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