基于响应面法的医用水射流软组织切割深度预测与微观损伤评估
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1.重庆大学 煤矿灾害动力学与控制全国重点实验室;2.重庆大学煤矿灾害动力学与控制全国重点实验室

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R615

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重庆英才优秀科学家项目(cstc2024ycjh-bgzxm0016)


Prediction of soft tissue cutting depth and microscopic damage assessment by medical waterjet based on response surface methodology
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National Key Laboratory for Coal Mine Disaster Dynamics and Control, Chongqing University

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the Chongqing Talents·ProgramExcellent·ScientistProject(No.cstc2024ycjh-bgzxm0016)

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    摘要:

    为提高医用水射流在动物软组织手术中的精准性和组织保护性,针对射流参数对切割深度及微观损伤的影响机制展开研究。结合离体猪肝实验和响应面分析法,构建了切割深度多元回归模型,并通过扫描电镜定量评估组织损伤特征。结果表明,构建的模型在不同目标深度下的预测精度均超93%。各参数影响程度依次为:射流压力>移动速度>靶距>喷嘴直径。其中,射流压力与移动速度分别通过突破组织屈服强度与调节驻留时间主导切割深度,靶距与喷嘴直径则通过改变射流集束性调控性能。微观表征发现,3 MPa压力下的组织总损伤面积相较于传统手术刀减少52%,且能精准去除肝实质并完整保留直径0.5 mm的血管结构,证实了特定参数下水射流的选择性切割优势。

    Abstract:

    To enhance the precision and tissue preservation of medical waterjet in soft tissue surgery, this study investigated the influence mechanisms of jet parameters on cutting depth and microscopic damage. Ex vivo porcine liver experiments and Response Surface Methodology were combined to construct a multivariate regression model for cutting depth, and Scanning Electron Microscopy was employed to quantitatively evaluate tissue damage characteristics. The results indicate that the prediction accuracy of the established model exceeds 93% across different target depths. The order of influence intensity for the parameters is: jet pressure > traverse speed > standoff distance > nozzle diameter. Specifically, jet pressure and traverse speed dominate the cutting depth by overcoming tissue yield strength and regulating dwell time, respectively; meanwhile, standoff distance and nozzle diameter modulate performance by altering jet coherence. Microscopic characterization reveals that the total tissue damage area at 3 MPa is only 990 μm2, which is significantly superior to that of traditional scalpels. Furthermore, the waterjet under these specific parameters effectively removes hepatic parenchyma while preserving vascular structures with a diameter of 0.5 mm, verifying the advantages of selective cutting.

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  • 收稿日期:2026-01-12
  • 最后修改日期:2026-01-27
  • 录用日期:2026-04-16
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