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

基本信息

批准号：
8677769
负责人：
Mia K Markey
金额：
$ 52.58万
依托单位：
UNIVERSITY OF TEXAS AT AUSTIN
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-08-01 至 2016-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8677769
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 reconstruction simulation three-dimensional modeling tool

项目摘要

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.

描述（由申请人提供）：我们的目标是设计一个决策支持系统，以帮助乳腺癌幸存者了解乳房重建后可能的外观变化，因此，使他们能够选择一种重建策略，从而导致最大程度地进行心理心理调整。我们的决策支持系统将采用ART 3D建模和可视化技术的状态，并将基于对乳腺癌幸存者面临的复杂身体形象考虑的复杂理解。为了实现我们的目标，我们必须取得基本进步，以跨越生物力学，图像处理和手术的学科。因此，我们的具体目的是：（1）设计乳房形态和外观变化的客观和定量测量，可以自动从人躯干的3D表面扫描中计算出来。 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）开发人类乳房的机械模型，该模型以物理学为基础，并使用某些重建手术中使用的人体组织的材料特性和生物相容性材料进行了参数测量。这些模型将对术后外观产生现实的预测，包括使用患者姿势的变化，这是无法通过简单的变形策略来实现的，这些策略无法解决人类形式的自然限制。（3）开发一种原型患者决策支持系统，该系统将为乳腺癌幸存者提供有关其乳房重建后可能出现可能变化的个性化信息。决策支持系统是一种复杂的工具，可帮助人们考虑多个标准，以便从替代方案中做出选择。基于个性化模拟和测量的决策支持系统将有助于患者与她的医疗团队之间的沟通，使患者能够校准她的期望，并更加满意治疗选择。系统设计将基于我们的乳房形态和患者特征，手术变量和由此产生的身体形象不满之间的统计关系。在拟议的研究中，将根据医疗保健专业人员的测试来评估和完善原型决策支持系统。如果该项目成功，将来的研究将旨在评估乳腺癌幸存者使用时决策支持系统的影响。

项目成果

期刊论文数量（15）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Body image and quality of life of breast cancer patients: influence of timing and stage of breast reconstruction.

DOI：
10.1002/pon.3952
发表时间：
2016-09
期刊：
Psycho-oncology
影响因子：
3.6
作者：
Teo I;Reece GP;Christie IC;Guindani M;Markey MK;Heinberg LJ;Crosby MA;Fingeret MC
通讯作者：
Fingeret MC

Managing body image difficulties of adult cancer patients.

管理成年癌症患者的身体形象困难。

DOI：
发表时间：
2014
期刊：
Cancer
影响因子：
6.2
作者：
CororveGingeret,Michelle;Teo,Irene;Epner,DanielE
通讯作者：
Epner,DanielE

Plastic Surgeon Expertise in Predicting Breast Reconstruction Outcomes for Patient Decision Analysis.

DOI：
10.1097/gox.0000000000000010
发表时间：
2013-11-01
期刊：
Plastic and reconstructive surgery. Global open
影响因子：
0
作者：
Sun CS;Reece GP;Crosby MA;Fingeret MC;Skoracki RJ;Villa MT;Hanasono MM;Baumann DP;Chang DW;Cantor SB;Markey MK
通讯作者：
Markey MK

Helping patients make choices about breast reconstruction: a decision analysis approach.

帮助患者做出乳房重建的选择：决策分析方法。

DOI：
10.1097/prs.0000000000000514
发表时间：
2014
期刊：
Plastic and reconstructive surgery
影响因子：
3.6
作者：
Sun,ClementS;Cantor,ScottB;Reece,GregoryP;Fingeret,MichelleC;Crosby,MelissaA;Markey,MiaK
通讯作者：
Markey,MiaK

On the Evaluation of the Elastic Modulus of Soft Materials Using Beams with Unknown Initial Curvature.

关于使用初始曲率未知的梁评估软材料的弹性模量。