Objective assessment of aesthetic outcomes of breast cancer treatment: Measuring ptosis from clinical photographs

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Abstract

The aesthetic outcome of breast cancer treatment is an important factor in breast cancer survivors’ quality of life. We investigated new quantitative, objective measurements of breast ptosis based on ratios of distances between fiducial points manually identified in oblique and lateral clinical photographs. Ptosis refers to the extent to which the nipple is lower than the inframammary fold. The new objective measures were compared to ratings made using an existing subjective scale. The variability in the objective measurements due to intra- and inter-observer variability in marking fiducial points was shown to be equivalent to less than one point on the subjective ptosis scale.

Introduction

Breast cancer is the most common type of cancer among women in the US, excluding skin cancer. It is predicted that in 2005, there will be 212,118 new cases diagnosed [1]. The breast cancer survival rate has increased because of development of improved detection techniques and treatment methods [2], [3]. Breast reconstructive surgery is a crucial part of breast cancer treatment, which can help breast cancer survivors regain a high quality of life. The American Society of Plastic Surgeons estimates that 74,000 breast reconstructive surgeries were performed in the US in 2002 [4]. Breast cancer survivors are now assured the benefit of breast reconstructive surgeries as well as breast conservation therapies according to the Women's Health and Cancer Rights Act of 1998 (P.L. 105-277). Restored function and aesthetics are the goals of any reconstructive surgery. However, current techniques of breast reconstructive surgery cannot restore lactation and normal sensation. Therefore, the main goal of breast reconstructive surgery is restoration of aesthetics to assist breast cancer survivors in regaining a high quality of life. Aesthetics refers to physical characteristics of the breasts, such as shape, symmetry, and ptosis.

Adequate measures of surgical outcome are important to protect patients’ health and well-being. Healthcare providers, the insurance industry, and the government also need objective measures to set up reasonable guidelines for care. The lack of a generally accepted quantitative method for assessing breast aesthetics limits the effective assessment of the outcomes after breast reconstructive surgery.

Currently, physicians, patients, or other observers report subjective assessments of breast aesthetics based on printed photographs, digital images, or directly viewing patients [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]. However, these methods have been shown to have low intra- and inter-observer agreement. Quantitative, objective measures with high reliability are needed in order to investigate the relationships between patient and surgical variables and aesthetic outcomes.

The previous studies of photogrammetry to quantify breast aesthetics provide a strong foundation for our work [18], [20], [36], [37], [38], [39]. However, there are certain limitations that must be overcome through additional investigations. First, prior studies have only used only AP views. Important aesthetic properties, such as ptosis described below, may not be adequately visible in the AP view. Second, the objective photogrammetry measures proposed in the literature are focused on symmetry characteristics to the point that some other properties such as ptosis are not addressed. Third, since prior photogrammetry studies were concerned with breast conservation therapy, assumptions were made that are not met in reconstructive surgery. In particular, measures were calculated assuming that only one breast was surgically altered, whereas even in unilateral reconstruction procedures it is often necessary to modify the unaffected breast to achieve symmetry.

An important aesthetic property that has not been addressed by prior photogrammetry studies is ptosis. Ptosis of the breast is classified according to the relationship between the nipple and the inframammary fold, the crease beneath the breast. Unacceptable ptosis occurs when nipple and lower pole of the breast descend lower than the level of inframammary fold [15]. Regnault [16] defined four grades of ptosis. A patient has no ptosis when the nipple and most of the breast gland is located above the level of submammary fold (Grade 0). In first degree or minor ptosis, the nipple is at the level of submammary fold and above the lower contour of the breast (Grade 1). Second degree or moderate ptosis is when the nipple lies below the fold but above the lower contour (Grade 2). Third degree or major ptosis is when the nipple lies at the lower breast contour and most of the breast is below the fold (Grade 3). The ptosis scale with example photographs is described in Table 1 and Fig. 1.

In this study, we designed quantitative, objective measurements of breast ptosis based on ratios of distances between fiducial points manually identified in lateral and oblique views of clinical photographs. The new objective measures were compared to ratings on a subjective scale made by three experienced clinical observers. Intra- and inter-observer variability of the new objective measures and subjective ratings were investigated.

Section snippets

Datasets

The patient population for this study was women aged 21 years or older who underwent breast reconstruction surgery from January 1, 1990 to June 1, 2003. Anterior–posterior (AP), right and left lateral, and right and left oblique photographs were digitally taken with a Nikon 990 Coolpix or Cannon T90 35 mm SLR with 50 mm lens and digitized with a Nikon LS 2000 or Nikon Super Coolscan 4000ED (1.06) slide digitizer. An experienced plastic surgeon (GPR) selected pre-operative images for 52 patients.

Ptosis: subjective rating

Kappa statistics of subjective scale measures between time points (first vs. second, second vs. third, and first vs. third) and between the three clinical observers (GPR vs. MJM, GPR vs. EKB, and MJM vs. EKB) were studied. Kappa results showed good to excellent intra-observer agreement (0.52–0.84). However, the inter-observer agreement varied across observers (0.23–0.49) and was lower in the case of MJM vs. EKB (0.07–0.15). The average values of the subjective ratings across the three clinical

Discussion

Breast reconstruction is a critical component of breast cancer treatment for patients who undergo mastectomy. Accurate assessment of the aesthetic outcome is important to guide health care providers and patients in evaluating treatment options.

Currently, physicians, patients, or other observers report subjective assessments of breast aesthetics based on printed photographs, digital images, or by directly viewing patients [5], [6], [7], [8], [9], [10], [11], [12], [13], [14]. One disadvantage of

Summary

Our long-term goal is to develop decision aids that will improve breast cancer treatment. 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 breast cancer treatment strategies. Our approach to quantifying breast aesthetics is to measure distances between anatomical landmarks (fiducial points) on standardized clinical photographs. We found that an existing

Acknowledgments

The authors thank five lab members who participated in this study as the non-clinical observers. The authors also thank Zack Mahdavi and Chris Kite, the system administrators in Biomedical Informatics Laboratory, for technical assistance. This work was funded in part by a grant from the Office of the Vice President for Research at The University of Texas at Austin and by Grant 1R21 CA109040-01A1 from the National Institutes of Health.

Min Soon Kim is a Graduate Research Assistant in Biomedical Engineering at The University of Texas at Austin. He received B.S. degree in Mechanical Engineering at Chungnam National University in Korea and M.S. degree in Biomedical Engineering at UT Austin and is pursuing his Ph.D. in Biomedical Engineering. He is currently working in the Biomedical Informatics Lab and his research focuses in quantifying aesthetic outcomes after breast reconstruction surgery. Long-term goal of the research is to

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    Min Soon Kim is a Graduate Research Assistant in Biomedical Engineering at The University of Texas at Austin. He received B.S. degree in Mechanical Engineering at Chungnam National University in Korea and M.S. degree in Biomedical Engineering at UT Austin and is pursuing his Ph.D. in Biomedical Engineering. He is currently working in the Biomedical Informatics Lab and his research focuses in quantifying aesthetic outcomes after breast reconstruction surgery. Long-term goal of the research is to develop decision aids that will improve breast cancer treatment.

    Gregory P. Reece, is a Professor of Plastic Surgery at the University of Texas M.D. Anderson Cancer Center in Houston, Texas. He obtained a B.S. degree in Biology at McNeese State University and a Medical Degree at Louisiana State University in Shreveport, Louisiana. He is a board certified general surgeon and plastic surgeon who practices at the University of Texas M.D. Anderson Cancer Center in Houston, Texas. The mission of the Department of Plastic Surgery at M.D. Anderson Cancer Center is to provide state of the art reconstructive services to their patients and to develop new advances in reconstructive surgery and regenerative medicine.

    Elisabeth K. Beahm completed her Plastic Surgery training at the University of Chicago and undertook subsequent fellowships in microsurgery and aesthetic and facial reconstructive surgery. Dr. Beahm is currently an Associate Professor of Surgery in the Department of Plastic Surgery at the University of Texas M.D. Anderson Cancer Center, where she serves as Director of Resident Education. Dr. Beahm has developed a clinical focus devoted to the refinement of surgical strategies for breast and nasal reconstruction and she maintains a longitudinal interest in tissue engineering research.

    Michael J. Miller received his Medical Degree from the University of Massachusetts, completed his plastic surgery training at Ohio State University and a fellowship in microsurgery at Tulane University Medical Center in New Orleans. A professor of plastic surgery, Dr. Miller serves as Deputy Chairman of the Department of Plastic Surgery at the University of Texas M.D. Anderson Cancer Center. He also holds adjunct appointments at Biomedical Engineering at Rice University and University of Texas Health Science Center. His research interests include tissue modeling, tissue replacement and surgical reconstruction for physical deformities related to cancer.

    Edward N. Atkinson is a Professor of Statistics at the University of Texas M.D. Anderson Cancer Center. He received his Ph.D. in Mathematical Sciences from Rice University. He is active in the design and evaluation of clinical trials in cancer research and in optical methods for the early detection of cancer.

    Mia K. Markey is currently an Assistant Professor in Biomedical Engineering at The University of Texas at Austin. She earned her B.S. in Computational Biology from Carnegie Mellon and her Ph.D. in Biomedical Engineering, as well a Certificate in Bioinformatics, from Duke University. The mission of the Biomedical Informatics Lab (www.bme.utexas.edu/research/informatics) is to design cost-effective, computational medical decision aids that will help physicians better diagnose, treat, and manage cancer.

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