Objective Assessment of Breast Reconstruction Aesthetics

乳房再造美学的客观评估

• 批准号: 7036553
• 负责人: Mia K Markey
• 金额: $ 15.15万
• 依托单位: UNIVERSITY OF TEXAS AT AUSTIN
• 依托单位国家: 美国
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-04-01 至 2008-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7036553
• 关键词: bioimaging /biomedical imaging; breast neoplasms; breast surgery; clinical research; computer assisted patient care; decision making; health education; human data; image guided surgery /therapy; image processing; mathematical model; plastic surgery; quality of life; statistics /biometry; technology /technique development

DESCRIPTION (provided by applicant): Our long-term goal is to develop decision aids that will improve breast cancer treatment. The aesthetic outcome of breast cancer treatment is an important factor in breast cancer survivors' quality of life. Aesthetics refers to physical characteristics such as symmetry and proportion. Currently, physicians, patients, or other observers evaluate breast aesthetics in a subjective, qualitative manner. However, such assessments are typically based on vaguely defined rating scales that have low intra- and inter- observer agreement. Their qualitative nature also restricts the analyses that can be performed. Quantitative, objective measures with high reliability are needed to meaningfully relate patient and surgical variables to aesthetic outcomes and to compare the outcomes of different kinds of breast cancer treatments (e.g., reconstruction procedures). Our approach to quantifying breast aesthetics is to make measurements between anatomical landmarks (fiducial points) on clinical photographs. In the proposed study, we will design and evaluate automatic image processing algorithms for computing objective, quantitative, reproducible measures of breast aesthetics. We anticipate that the new system will lead to future studies in three significant clinical areas: (1) outcome analyses of treatment options (e.g., comparison of breast conservation therapy to mastectomy followed by reconstruction), (2) development of new approaches to patient education about treatment options, and (3) investigations of intra-operative imaging to guide surgeons in breast reconstruction. The specific aims of this study are to: 1) Design algorithms to compute objective, quantitative, reproducible measures of breast aesthetics. 2) Evaluate the algorithms for computing objective measures of breast aesthetic properties. 3) Expand the utility of our methods by designing and evaluating image processing algorithms for automatic identification of fiducial points.

描述（由申请人提供）： 我们的长期目标是开发能够改善乳腺癌治疗的决策辅助工具。乳腺癌治疗的美观效果是乳腺癌幸存者生活质量的重要因素。审美是指对称性、比例等身体特征。目前，医生、患者或其他观察者以主观、定性的方式评估乳房美学。然而，此类评估通常基于模糊定义的评级量表，观察者内部和观察者之间的一致性较低。它们的定性性质也限制了可以进行的分析。需要具有高可靠性的定量、客观测量方法，将患者和手术变量与美学结果有意义地联系起来，并比较不同类型乳腺癌治疗（例如重建手术）的结果。我们量化乳房美观的方法是在临床照片上的解剖标志（基准点）之间进行测量。在拟议的研究中，我们将设计和评估自动图像处理算法，用于计算客观、定量、可重复的乳房美学测量值。我们预计新系统将导致未来在三个重要临床领域的研究：（1）治疗方案的结果分析（例如，保乳疗法与乳房切除术后重建的比较），（2）开发关于治疗方案的患者教育新方法，以及（3）术中成像研究以指导外科医生进行乳房重建。 本研究的具体目的是： 1) 设计算法来计算客观、定量、可重复的乳房美学测量值。 2) 评估计算乳房美学特性客观测量值的算法。 3）通过设计和评估用于自动识别基准点的图像处理算法来扩展我们方法的实用性。

项目成果

Towards quantifying the aesthetic outcomes of breast cancer treatment: assessment of surgical scars.

量化乳腺癌治疗的美学效果：手术疤痕评估。

• 发表时间: 2005
• 期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
• 作者: Kim,MinSoon;Rodney,WilliamN;Peng,Joshua;Reece,GregoryP;Markey,MiaK
• 通讯作者: Markey,MiaK

Quantifying the aesthetic outcomes of breast cancer treatment: assessment of artificial scars.

量化乳腺癌治疗的美学效果：人工疤痕的评估。

• 发表时间: 2007
• 期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
• 作者: Kim,MinSoon;Rodney,WilliamN;Reece,GregoryG;Cooper,Tara;Markey,MiaK
• 通讯作者: Markey,MiaK

Toward decision support for breast reconstruction: automated calculation of symmetry measure on clinical photographs.

乳房重建的决策支持：临床照片上对称测量的自动计算。

• 发表时间: 2008
• 期刊: AMIA ... Annual Symposium proceedings. AMIA Symposium
• 作者: Dabeer,Mugdha;Kyrish,Matthew;Kim,MinSoon;Reyes,Peter;Udpa,Nitin;Reece,GregoryP;Markey,MiaK
• 通讯作者: Markey,MiaK