Enhanced Biomechanical Modeling of the Breast for Womens Health

增强乳房生物力学模型以促进女性健康

• 批准号: 10356348
• 负责人: Kristy Brock
• 金额: $ 65.1万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-10 至 2026-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10356348
• 关键词: 3-Dimensional; Adipose tissue; Anatomy; Anisotropy; Back; Behavior; Biomechanics; Breast; Characteristics; Chest wall structure; Clothing; Data; Development; Diagnosis; Diagnostic; Diagnostic Imaging; Engineering; Goals; Grant; Human; Individual; Knowledge; Literature; Location; Malignant Neoplasms; Mammaplasty; Mammary Gland Parenchyma; Mastectomy; Medical; Modeling; Motion; Movement; Operative Surgical Procedures; Outcome; Outcome Measure; Pathologist; Patient Education; Patients; Performance; Physicians; Physics; Physiological; Population; Property; Quality of life; Recovery; Research; Structure; Support System; Surgeon; System; Testing; Three-dimensional analysis; Tissue Model; Tissues; Training and Education; Translations; Uncertainty; Vision; Women' s Health; Work; base; biomechanical model; clinical translation; design; improved; innovation; malignant breast neoplasm; multidisciplinary; multimodality; prevent; primary outcome; shared decision making; simulation; three-dimensional modeling; tool; tumor

As biomechanical modeling of the breast is integral to predicting tumor location across multimodal diagnostic imaging and during surgery, surgical planning, generating simulations for physician and patient education, and brassiere and clothing design for optimal breast support, advances in model accuracy have the potential to significantly improve women's health and quality of life. Despite the growing use of breast biomechanical models for different applications, there are persistent knowledge gaps in both the anatomical and biomechanical literature that prevent an accurate model from being developed and deployed to patient-specific applications. Accurate biomechanical models are needed for tracking cancer in diagnostic imaging and surgery. However, the accuracy of biomechanical models is sensitive to the geometrical and structural features used to describe the anatomical features and the constitutive parameters used to describe the behavior of the tissues. For example, small alterations in the stiffness of the various breast tissue properties can displace tissues by more than 10 mm. Thus, thorough characterization of the constitutive properties of individual breast structures are necessary to obtain precise predictions of tissue motion. Furthermore, in the absence of precise knowledge of anatomical geometrical and structural features, biomechanical models have placed an overemphasis on the constitutive parameters of the breast tissue. The long-term goal of our research is to develop an accurate biomechanical model of the breast that transforms the applications of breast modeling for both population models and patient-specific applications. Our vision is to improve the model so that it becomes a reliable and useful tool in the diagnosis and management of breast cancer, surgeon education and training, patient education for better shared decision making, and clothing design, especially in the post mastectomy recovery period. Our present human breast tissue biomechanical model represents the state of the art, as it is based on actual 3D analyses. However, it represents a first step, as clinical translation remains limited by insufficient information about the structural and biomechanical characteristics of the fascial support system and its relationship to the adipose and glandular breast structures in the broader population. Thus, we hypothesize that the accuracy of the biomechanical model may be improved by determining the anatomical and biomechanical characteristics of the fascial support system of the breast, understanding the sensitivity of the patient-specific parameters across the population, and validating the translation of these models, with their inherent uncertainties, into the patient-specific setting. Our multi-disciplinary team of breast reconstructive surgeons, engineers, medical physicists, and pathologists are uniquely poised to perform this innovative research leading to the development of a high-fidelity biomechanical model of the human breast that is capable of reproducing its behavior, both in general and in a patient specific sense.

由于乳房的生物力学建模对于跨多模式预测肿瘤位置是不可或缺的 诊断性成像和手术期间、手术计划、为医生和患者生成模拟 教育，胸罩和服装设计，以实现最佳的乳房支撑，模型准确性的进步 有可能显著改善妇女的健康和生活质量。尽管乳房的使用越来越多 对于不同应用的生物力学模型，在解剖学和生物力学模型方面都存在持久的知识空白 生物力学文献，阻止开发准确的模型并将其部署到特定患者 申请。在诊断成像和外科手术中，需要精确的生物力学模型来跟踪癌症。 然而，生物力学模型的准确性对所使用的几何和结构特征很敏感 描述用于描述组织行为的解剖特征和本构参数。 例如，各种乳腺组织属性的硬度的微小变化可以通过以下方式取代组织 超过10毫米。因此，对单个乳房结构的组成特性进行彻底的表征 是获得对组织运动的准确预测所必需的。此外，在缺乏准确知识的情况下 在解剖的几何和结构特征中，生物力学模型过分强调 乳腺组织的本构参数。 我们研究的长期目标是开发一种准确的乳房生物力学模型 改变了乳房建模的应用，既适用于人群模型，也适用于特定于患者的应用。我们的 愿景是改进模型，使其成为诊断和管理疾病的可靠和有用的工具 乳腺癌，外科医生的教育和培训，更好地分享决策的患者教育，以及服装 设计，尤其是在乳房切除术后恢复期。 我们目前的人类乳房组织生物力学模型代表了最先进的技术，因为它基于 实际的3D分析。然而，这只是第一步，因为临床翻译仍然受到不足的限制。 有关筋膜支持系统的结构和生物力学特性的信息 与更广泛人群中的脂肪和腺体乳房结构的关系。因此，我们假设 生物力学模型的准确性可以通过确定解剖学和生物力学来提高。 乳房筋膜支持系统的特点，了解患者的敏感度 参数，并验证这些模型的翻译，以及它们固有的 不确定因素，进入患者特定的环境。我们的多学科乳房重建外科医生团队， 工程师、医学物理学家和病理学家正独一无二地准备执行这项创新的领先研究 开发一种高保真的人类乳房生物力学模型，能够复制其 行为，既有一般意义上的，也有患者特殊意义上的。