3-D Computer Modeling for Optimizing Body Image following Breast Reconstruction

用于优化乳房重建后身体形象的 3D 计算机建模

• 批准号: 8117257
• 负责人: Mia K Markey
• 金额: $ 58.57万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8117257
• 关键词: 3-Dimensional; Accounting; Address; Algorithms; American Cancer Society; Appearance; Biocompatible Materials; Biomechanics; Body Image; Breast; Breast Cancer Treatment; Cancer Survivor; Characteristics; Clinical; Collaborations; Communication; Complex; Computer Simulation; Computer Systems; Decision Support Systems; Discipline; Engineering; Environment; Funding; Future; Goals; Health Professional; Healthcare; Human; Imagery; Individual; Lead; Life; Mammaplasty; Measurement; Measures; Medical Care Team; Modeling; Morphology; Nipples; Operative Surgical Procedures; Outcome; Patients; Persons; Physics; Postoperative Period; Process; Property; Psychological Factors; Psychology; Publications; Reconstructive Surgical Procedures; Research; Research Personnel; Resources; Scanning; Surface; Survivors; System; Technology; Testing; Texas; United States National Institutes of Health; Universities; University of Texas M D Anderson Cancer Center; Variant; Work; austin; base; cancer care; clinically significant; design; engineering design; expectation; human tissue; image processing; innovation; malignant breast neoplasm; notch protein; prototype; psychosocial adjustment; public health relevance; reconstruction; simulation; three-dimensional modeling; tool

DESCRIPTION (provided by applicant): Our goal is to design a decision support system to help breast cancer survivors understand their likely appearance changes following breast reconstruction and, therefore, enable them to choose a reconstruction strategy that will lead to maximal psychosocial adjustment. Our decision support system will employ state of the art 3D modeling and visualization technologies and will be founded on a sophisticated understanding of the complex body image considerations faced by breast cancer survivors. To achieve our goal, we must make fundamental advances that cross the disciplines of biomechanics, image processing, and surgery. Thus, our specific aims are: (1) To design objective and quantitative measures of breast morphology and appearance change that can be automatically computed from 3D surface scans of the human torso. While numerous anthropometric measures (such as distances) have been proposed without revolutionizing surgical planning or assessment, we will create measures of properties such as curvature that have been largely ignored in prior work and we will develop algorithms that will enable fully automated analyses (i.e., through automatic localization of fiducial points, i.e., anatomical landmarks such as nipples, sternal notch, etc.). (2) To develop mechanistic models of the human breast which are grounded in physics and parameterized using experimental measurements of the material properties of human tissues and biocompatible materials used in some reconstructive surgeries. These models will produce realistic predictions of post-operative appearance, including variation with patient pose, which cannot be achieved by simplistic morphing strategies that fail to account for natural constraints on the human form. (3) To develop a prototype patient decision support system that will provide breast cancer survivors with personalized information regarding their probable appearance changes following breast reconstruction. A decision support system is a sophisticated tool that helps a person considers multiple criteria in order to make a choice from among alternatives. A decision support system based on personalized simulations and measurements will facilitate communication between the patient and her healthcare team, allowing the patient to calibrate her expectations and be more comfortable with her treatment choices. The system design will be based on statistical relationships between our measures of breast morphology and patient characteristics, surgical variables, and resulting body image dissatisfaction. In the proposed study, the prototype decision support system will be evaluated and refined based on testing by healthcare professionals. If this project is successful, future studies would be designed to assess the impact of the decision support system when used by breast cancer survivors. PUBLIC HEALTH RELEVANCE: Our goal is to design a computer system that will assist breast cancer survivors in understanding their likely appearance changes following breast reconstruction and, therefore, enable them to choose a reconstruction strategy that will lead to maximal psychosocial adjustment.

描述（由申请人提供）：我们的目标是设计一个决策支持系统，帮助乳腺癌幸存者了解乳房重建后可能出现的外观变化，从而使他们能够选择重建策略，从而最大限度地适应社会心理。我们的决策支持系统将采用最先进的3D建模和可视化技术，并将建立在对乳腺癌幸存者所面临的复杂身体形象考虑的复杂理解的基础上。为了实现我们的目标，我们必须在生物力学、图像处理和外科等学科上取得根本性的进步。因此，我们的具体目标是：(1)设计可以从人体躯干的3D表面扫描自动计算的乳房形态和外观变化的客观定量测量。虽然许多人体测量测量（如距离）已经被提出，但没有革命性的手术计划或评估，我们将创建曲率等属性的测量，这些属性在以前的工作中被很大程度上忽略了，我们将开发算法，使全自动分析成为可能（即，通过自动定位基准点，即解剖标志，如乳头，胸骨切迹等）。(2)以物理学为基础，利用人体组织材料特性的实验测量和一些重建手术中使用的生物相容性材料来参数化人类乳房的机制模型。这些模型将产生手术后外观的现实预测，包括患者姿势的变化，这不能通过简单的变形策略来实现，因为这些策略不能解释人体形态的自然约束。(3)开发一个原型患者决策支持系统，为乳腺癌幸存者提供乳房重建后可能出现的外观变化的个性化信息。决策支持系统是一种复杂的工具，可以帮助人们考虑多种标准，以便从备选方案中做出选择。基于个性化模拟和测量的决策支持系统将促进患者与其医疗团队之间的沟通，使患者能够调整自己的期望，并对自己的治疗选择更满意。系统设计将基于我们的乳房形态测量与患者特征、手术变量和由此产生的身体形象不满之间的统计关系。在建议的研究中，原型决策支持系统将根据医疗保健专业人员的测试进行评估和改进。如果这个项目成功，未来的研究将被设计来评估乳腺癌幸存者使用决策支持系统时的影响。