Image-based biomarkers for engineering neuroblastoma patient-specific computational models

IF 8.7 2区 工程技术 Q1 Mathematics Engineering with Computers Pub Date : 2024-04-10 DOI:10.1007/s00366-024-01964-6
Silvia Hervas-Raluy, Diego Sainz-DeMena, Maria Jose Gomez-Benito, Jose Manuel García-Aznar
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Abstract

Childhood cancer is a devastating disease that requires continued research and improved treatment options to increase survival rates and quality of life for those affected. The response to cancer treatment can vary significantly among patients, highlighting the need for a deeper understanding of the underlying mechanisms involved in tumour growth and recovery to improve diagnostic and treatment strategies. Patient-specific models have emerged as a promising alternative to tackle the challenges in tumour mechanics through individualised simulation. In this study, we present a methodology to develop subject-specific tumour models, which incorporate the initial distribution of cell density, tumour vasculature, and tumour geometry obtained from clinical MRI imaging data. Tumour mechanics is simulated through the Finite Element method, coupling the dynamics of tumour growth and remodelling and the mechano-transport of oxygen and chemotherapy. These models enable a new application of tumour mechanics, namely predicting changes in tumour size and shape resulting from chemotherapeutic interventions for individual patients. Although the specific context of application in this work is neuroblastoma, the proposed methodologies can be extended to other solid tumours. Given the difficulty for treating paediatric solid tumours like neuroblastoma, this work includes two patients with different prognosis, who received chemotherapy treatment. The results obtained from the simulation are compared with the actual tumour size and shape from patients. Overall, the simulations provided clinically useful information to evaluate the effectiveness of the chemotherapy treatment in each case. These results suggest that the biomechanical model could be a valuable tool for personalised medicine in solid tumours.

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基于图像的生物标志物,用于设计神经母细胞瘤患者特异性计算模型
儿童癌症是一种毁灭性疾病,需要不断研究和改进治疗方案,以提高患者的生存率和生活质量。不同患者对癌症治疗的反应可能有很大差异,这突出表明需要深入了解肿瘤生长和恢复的内在机制,以改进诊断和治疗策略。患者特异性模型已成为通过个体化模拟来应对肿瘤力学挑战的一种有前途的替代方法。在本研究中,我们介绍了一种开发特定受试者肿瘤模型的方法,该方法结合了从临床核磁共振成像数据中获得的细胞密度、肿瘤血管和肿瘤几何形状的初始分布。通过有限元法模拟肿瘤力学,将肿瘤生长和重塑的动力学与氧气和化疗的机械传输结合起来。这些模型实现了肿瘤力学的新应用,即预测化疗干预对个别患者造成的肿瘤大小和形状的变化。虽然这项工作的具体应用背景是神经母细胞瘤,但所提出的方法可扩展到其他实体瘤。考虑到治疗神经母细胞瘤等儿科实体瘤的难度,这项工作包括两名接受化疗的预后不同的患者。模拟结果与患者的实际肿瘤大小和形状进行了比较。总体而言,模拟结果为评估每个病例的化疗效果提供了有用的临床信息。这些结果表明,生物力学模型可以成为实体瘤个性化医疗的重要工具。
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来源期刊
Engineering with Computers
Engineering with Computers 工程技术-工程:机械
CiteScore
16.50
自引率
2.30%
发文量
203
审稿时长
9 months
期刊介绍: Engineering with Computers is an international journal dedicated to simulation-based engineering. It features original papers and comprehensive reviews on technologies supporting simulation-based engineering, along with demonstrations of operational simulation-based engineering systems. The journal covers various technical areas such as adaptive simulation techniques, engineering databases, CAD geometry integration, mesh generation, parallel simulation methods, simulation frameworks, user interface technologies, and visualization techniques. It also encompasses a wide range of application areas where engineering technologies are applied, spanning from automotive industry applications to medical device design.
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