3D Breast Anatomy Analysis in Cancer Treatment Planning and Outcome Assessment

癌症治疗计划和结果评估中的 3D 乳房解剖分析

• 批准号: 7219169
• 负责人: Fatima Aziz Merchant
• 金额: $ 12.53万
• 依托单位: SOFT IMAGING, LLC
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-15 至 2009-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7219169
• 关键词: Accounting; Address; Algorithms; American; Anatomy; Anthropometry; Appearance; Arts; Autologous; Body Image; Breast; Breast Cancer Treatment; Cancer Etiology; Cancer Patient; Cancer Survivor; Caring; Cessation of life; Characteristics; Charge; Clinical; Communication; Complex; Computer Graphics; Computer software; Consensus; Data; Decision Making; Deformity; Descriptor; Development; Diagnosis; Diagnostic; Early Diagnosis; Education; Educational process of instructing; End Point; Esthetics; Evaluation; Evidence Based Medicine; Financial compensation; Goals; Government; Guidelines; Health Care Costs; Health Personnel; Healthcare; Image; Image Analysis; Imagery; Incidence; Individual; Industry; Insurance; Judgment; Length; Letters; Life; Malignant Neoplasms; Mammaplasty; Mammary Gland Parenchyma; Marketing; Mastectomy; Measurement; Measures; Methods; Modality; Morbidity - disease rate; Morphology; National Cancer Institute; Nipples; Numbers; Operative Surgical Procedures; Outcome; Outcome Assessment; Outcome Study; Patients; Phase; Phase I Clinical Trials; Photogrammetry; Physicians; Positioning Attribute; Postoperative Period; Prior Surgery; Procedures; Process; Ptosis; Quality of life; Rate; Reconstructive Surgical Procedures; Regulation; Research; Risk; Score; Shapes; Specific qualifier value; Standards of Weights and Measures; Stereophotogrammetries; Stress; Surface; Surgeon; Surgical Flaps; Surgical Models; Survivors; System; Techniques; Technology; Testing; Three-Dimensional Image; Three-Dimensional Imaging; Three-dimensional analysis; Time; Training; Trauma; United States; Vendor; Visual; Woman; base; breast surgery; cancer care; cancer surgery; cancer therapy; clinically relevant; design; digital imaging; expectation; experience; improved; instrument; malignant breast neoplasm; mortality; multidisciplinary; psychologic; psychosocial; reconstruction; satisfaction; simulation; size; skills; software development; technological innovation; tool; treatment planning; trend; two-dimensional

DESCRIPTION (provided by applicant): Breast cancer is the second leading cause of cancer death in American women. Breast Reconstruction (BR) surgery is an important component of the breast cancer treatment process. It is the surgical procedure used to rebuild breast tissue that has been removed due to cancer surgery. Most importantly, BR surgery is integral to improving the cancer patient's quality of life. However, planning and evaluation of the surgery are done subjectively, and the result is not always satisfactory. We propose to develop tools that will aid surgeons with pre-operative planning and post-operative outcome evaluation. They will also help breast cancer survivors make informed decisions about their treatment choices, by facilitating surgeon-patient communications. Objective outcome analysis will allow more concrete communication with the patient, who can then calibrate her expectations and be more comfortable with her treatment choices. Alterations in appearance (or loss) of the breast have significant psychological and sexual implications in cancer patients. Having recently experienced the trauma and stress associated with the diagnosis and treatment of a life-threatening illness, patients hope to relieve some of the stress and rebuild a positive body image. They hope to achieve a BR result that is attractive and natural looking. Most women who choose BR do so to restore their femininity, image, and body integrity, all of which have been altered negatively by breast cancer therapy. However, there is no information available from an objective analysis of aesthetic outcomes to facilitate the patient's decision making on a procedure that will permanently alter the appearance of her breast. Standards for BR have evolved in the past decade, and patients and surgeons alike expect, symmetrical and natural looking breasts. Surgeons rely on their personal experience and on subjective visual assessment skills to achieve these results. Similarly, aesthetic outcome assessment methods, following surgery, are rather subjective, and are based on observer evaluation of physical changes in breast morphology and symmetry. To date, no consensus exists on how to assess the aesthetic result following BR. With the recent developments in three-dimensional (3D) imaging, there is now an opportunity to develop diagnostic tools that permit 3D treatment planning and objective assessment of post-operative results. The proposed study develops a method for quantitatively describing breast aesthetics. The method will objectively detect relevant changes in breast appearance, making it possible to compare aesthetic outcome between different treatment modalities. A practical technique for quantitative assessment of breast appearance would improve breast cancer care in several ways. Key applications include enabling personalized, evidence-based medicine, surgical planning, setting fair charges, and surgery education. Breast cancer is the most common life-threatening malignancy in women. Treatment advances and early detection have resulted in decreased mortality from breast cancer despite a steadily rising incidence in the United States between 1990 and 2002. Encouraged by this trend and other evidence of progress, the National Cancer Institute (NCI) has issued a challenge goal to eliminate suffering and death from cancer by the year 2015. Achieving this goal for women requires addressing the psychosocial morbidity caused by physical deformities of the breast that result from cancer treatment. A major step towards minimizing treatment-related deformities is to improve the surgical techniques of breast reconstruction. Developing quantitative tools for assessing the aesthetic outcome of BR is thus a significant step in the right direction. The goal of this Phase I study is to develop software tools that would aid the surgeon in quantifying and interpreting 3D data in a meaningful and clinically relevant fashion. 3D measurements would also be invaluable for relating patient and surgical variables meaningfully to aesthetic outcomes, and for comparing the outcomes of different kinds of breast cancer treatments (e.g., different reconstruction procedures).

描述（由申请人提供）：乳腺癌是美国女性癌症死亡的第二大原因。乳房重建（BR）手术是乳腺癌治疗过程的重要组成部分。这是用于重建乳腺组织的手术程序，由于癌症手术而被切除。最重要的是，BR手术是改善癌症患者的生活质量不可或缺的一部分。但是，手术的计划和评估是主观完成的，结果并不总是令人满意的。我们建议开发工具，以帮助外科医生进行术前计划和术后结果评估。他们还将通过促进外科医生的沟通来帮助乳腺癌幸存者对他们的治疗选择做出明智的决定。客观的结果分析将使患者进行更多具体的沟通，后者可以校准她的期望，并对她的治疗选择更加满意。乳房外观（或损失）的改变在癌症患者中具有显着的心理和性影响。最近经历了与诊断和治疗威胁生命的疾病有关的创伤和压力，患者希望减轻某些压力并重建正面的身体形象。他们希望获得具有吸引力和自然外观的BR结果。大多数选择BR的妇女都这样做是为了恢复其女性气质，形象和身体完整性，所有这些都是通过乳腺癌疗法对所有这些妇女进行了负面改变的。但是，从对美学结果的客观分析中没有可用的信息来促进患者对可以永久改变其乳房外观的程序的决策。在过去的十年中，BR的标准已经发展，患者和外科医生都期望乳房对称和自然乳房。外科医生依靠他们的个人经验和主观的视觉评估技能来取得这些结果。同样，手术后的美学结果评估方法是主观的，并且基于观察者评估乳房形态和对称性的物理变化。迄今为止，关于如何评估BR之后的美学结果尚无共识。随着三维（3D）成像的最新发展，现在有机会开发诊断工具，以允许3D治疗计划和术后结果的客观评估。拟议的研究开发了一种定量描述乳房美学的方法。该方法将客观地检测乳房外观的相关变化，从而可以比较不同治疗方式之间的美学结果。一种用于定量评估乳房外观的实用技术，可以通过多种方式改善乳腺癌护理。关键应用包括启用个性化的，循证医学，手术计划，设定公平费用和手术教育。乳腺癌是女性最常见的威胁生命的恶性肿瘤。尽管在1990年至2002年之间，美国的发生率稳步上升，但治疗的进展和早期检测导致乳腺癌死亡率降低。由于这种趋势和其他进步证据的鼓励，国家癌症研究所（NCI）发出了一个挑战目标，是在2015年消除癌症的痛苦和死亡的痛苦目标。到2015年，妇女对癌症的治疗造成了癌症的治疗，从而使癌症造成了癌症症状，这需要癌症造成癌症的范围。朝着最小化治疗相关的畸形迈出的主要一步是改善乳房重建的手术技术。因此，开发用于评估BR的美学结果的定量工具是朝着正确方向迈出的重要一步。 I阶段I研究的目标是开发软件工具，以有意义且临床相关的方式来帮助外科医生量化和解释3D数据。 3D测量值对于将患者和手术变量有意义地与美学结果以及比较不同种类的乳腺癌治疗的结果（例如，不同的重建程序）相关联也将是无价的。

项目成果

Automated Identification of Fiducial Points on 3D Torso Images.

• DOI: 10.4137/becb.s11800
• 发表时间: 2013
• 期刊: Biomedical engineering and computational biology
• 影响因子: 2.8
• 作者: Kawale MM;Reece GP;Crosby MA;Beahm EK;Fingeret MC;Markey MK;Merchant FA
• 通讯作者: Merchant FA

Validation of stereophotogrammetry of the human torso.

• DOI: 10.4137/bcbcr.s6352
• 发表时间: 2011-02-15
• 期刊: Breast cancer : basic and clinical research
• 作者: Lee J;Kawale M;Merchant FA;Weston J;Fingeret MC;Ladewig D;Reece GP;Crosby MA;Beahm EK;Markey MK
• 通讯作者: Markey MK

3D Symmetry Measure Invariant to Subject Pose During Image Acquisition.

• DOI: 10.4137/bcbcr.s7140
• 发表时间: 2011
• 期刊: Breast cancer : basic and clinical research
• 作者: Kawale M;Lee J;Leung SY;Fingeret MC;Reece GP;Crosby MA;Beahm EK;Markey MK;Merchant FA
• 通讯作者: Merchant FA