Risk Factor Analysis of Cryopreserved Autologous Bone Flap Resorption in Adult Patients Undergoing Cranioplasty with Volumetry Measurement Using Conventional Statistics and Machine-Learning Technique.

IF 1.4 4区 医学 Q4 CLINICAL NEUROLOGY
Journal of Korean Neurosurgical Society Pub Date : 2024-01-01 Epub Date: 2023-09-15 DOI:10.3340/jkns.2023.0143
Yohan Son, Jaewoo Chung
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引用次数: 0

Abstract

Objective: Decompressive craniectomy (DC) with duroplasty is one of the common surgical treatments for life-threatening increased intracranial pressure (ICP). Once ICP is controlled, cranioplasty (CP) with reinsertion of the cryopreserved autologous bone flap or a synthetic implant is considered for protection and esthetics. Although with the risk of autologous bone flap resorption (BFR), cryopreserved autologous bone flap for CP is one of the important material due to its cost effectiveness. In this article, we performed conventional statistical analysis and the machine learning technique understand the risk factors for BFR.

Methods: Patients aged >18 years who underwent autologous bone CP between January 2015 and December 2021 were reviewed. Demographic data, medical records, and volumetric measurements of the autologous bone flap volume from 94 patients were collected. BFR was defined with absolute quantitative method (BFR-A) and relative quantitative method (BFR%). Conventional statistical analysis and random forest with hyper-ensemble approach (RF with HEA) was performed. And overlapped partial dependence plots (PDP) were generated.

Results: Conventional statistical analysis showed that only the initial autologous bone flap volume was statistically significant on BFR-A. RF with HEA showed that the initial autologous bone flap volume, interval between DC and CP, and bone quality were the factors with most contribution to BFR-A, while, trauma, bone quality, and initial autologous bone flap volume were the factors with most contribution to BFR%. Overlapped PDPs of the initial autologous bone flap volume on the BRF-A crossed at approximately 60 mL, and a relatively clear separation was found between the non-BFR and BFR groups. Therefore, the initial autologous bone flap of over 60 mL could be a possible risk factor for BFR.

Conclusion: From the present study, BFR in patients who underwent CP with autologous bone flap might be inevitable. However, the degree of BFR may differ from one to another. Therefore, considering artificial bone flaps as implants for patients with large DC could be reasonable. Still, the risk factors for BFR are not clearly understood. Therefore, chronological analysis and pathophysiologic studies are needed.

利用传统统计学和机器学习技术对接受颅骨成形术并进行容积测量的成人患者低温保存自体骨瓣吸收的风险因素进行分析
目的:减压性颅骨切除术(DC)加硬脑膜成形术是治疗危及生命的颅内压增高(ICP)的常用手术疗法之一。一旦 ICP 得到控制,为了保护和美观,可考虑通过重新植入低温保存的自体骨瓣或人工合成植入物进行颅骨成形术(CP)。尽管存在自体骨瓣吸收(BFR)的风险,但冷冻保存的自体骨瓣因其成本效益而成为用于 CP 的重要材料之一。本文通过常规统计分析和机器学习技术了解了BFR的风险因素:方法:对 2015 年 1 月至 2021 年 12 月间接受自体骨 CP 的年龄大于 18 岁的患者进行回顾性研究。收集了 94 名患者的人口统计学数据、病历和自体骨瓣体积测量数据。用绝对定量法(BFR-A)和相对定量法(BFR%)定义 BFR。进行了常规统计分析和随机森林与超集合方法(RF with HEA)分析。并生成了重叠偏倚图(PDP):传统统计分析显示,只有初始自体骨瓣体积对 BFR-A 有统计学意义。使用 HEA 的 RF 显示,初始自体骨瓣体积、DC 和 CP 之间的间隔以及骨质是对 BFR-A 影响最大的因素,而创伤、骨质和初始自体骨瓣体积则是对 BFR% 影响最大的因素。初始自体骨瓣体积在BRF-A上的重叠PDP约为60 mL,非BFR组和BFR组之间有相对明显的分离。因此,初始自体骨瓣超过60 mL可能是BFR的一个风险因素:从本研究来看,使用自体骨瓣进行 CP 的患者可能不可避免地会出现 BFR。然而,BFR 的程度可能因人而异。因此,考虑将人工骨瓣作为大 DC 患者的植入物可能是合理的。然而,BFR 的风险因素尚不明确。因此,需要进行时间分析和病理生理学研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.90
自引率
6.20%
发文量
109
审稿时长
3-8 weeks
期刊介绍: The Journal of Korean Neurosurgical Society (J Korean Neurosurg Soc) is the official journal of the Korean Neurosurgical Society, and published bimonthly (1st day of January, March, May, July, September, and November). It launched in October 31, 1972 with Volume 1 and Number 1. J Korean Neurosurg Soc aims to allow neurosurgeons from around the world to enrich their knowledge of patient management, education, and clinical or experimental research, and hence their professionalism. This journal publishes Laboratory Investigations, Clinical Articles, Review Articles, Case Reports, Technical Notes, and Letters to the Editor. Our field of interest involves clinical neurosurgery (cerebrovascular disease, neuro-oncology, skull base neurosurgery, spine, pediatric neurosurgery, functional neurosurgery, epilepsy, neuro-trauma, and peripheral nerve disease) and laboratory work in neuroscience.
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