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

Quantitative Assessment of Breast Cosmetic Outcome After Whole-Breast Irradiation

PURPOSE

To measure, by quantitative analysis of digital photographs, breast cosmetic outcome within the setting of a randomized trial of conventionally fractionated (CF) and hypofractionated (HF) whole-breast irradiation (WBI), to identify how quantitative cosmesis metrics were associated with patient- and physician-reported cosmesis and whether they differed by treatment arm.

METHODS AND MATERIALS

From 2011 to 2014, 287 women aged ≥40 with ductal carcinoma in situ or early invasive breast cancer were randomized to HF-WBI (42.56 Gy/16 fractions [fx] + 10-12.5 Gy/4-5 fx boost) or CF-WBI (50 Gy/25 fx + 10-14 Gy/5-7 fx). At 1 year after treatment we collected digital photographs, patient-reported cosmesis using the Breast Cancer Treatment and Outcomes Scale, and physician-reported cosmesis using the Radiation Therapy Oncology Group scale. Six quantitative measures of breast symmetry, labeled M1-M6, were calculated from anteroposterior digital photographs. For each measure, values closer to 1 imply greater symmetry, and values closer to 0 imply greater asymmetry. Associations between M1-M6 and patient- and physician-reported cosmesis and treatment arm were evaluated using the Kruskal-Wallis test.

RESULTS

Among 245 evaluable patients, patient-reported cosmesis was strongly associated with M1 (vertical symmetry measure) (P<.01). Physician-reported cosmesis was similarly correlated with M1 (P<.01) and also with M2 (vertical symmetry, P=.01) and M4 (horizontal symmetry, P=.03). At 1 year after treatment, HF-WBI resulted in better values of M2 (P=.02) and M3 (P<.01) than CF-WBI; treatment arm was not significantly associated with M1, M4, M5, or M6 (P≥.12).

CONCLUSIONS

Quantitative assessment of breast photographs reveals similar to improved cosmetic outcome with HF-WBI compared with CF-WBI 1 year after treatment. Assessing cosmetic outcome using these measures could be useful for future comparative effectiveness studies and outcome reporting.

The Rainbow Scale for Assessing Breast Ptosis: Validation of Three Different Views

BACKGROUND

Photographic scales have become an increasingly used tool in objectively assessing outcomes in aesthetic surgery. However, no online photographic scale for assessing breast ptosis has been developed yet that is readily available.

OBJECTIVES

This study was designed to validate the online Rainbow Scale for the assessment of breast ptosis for the anterior-posterior (AP), lateral, and oblique views.

METHODS

For the five grades of the Rainbow Scale format, standardized reference photographs were selected. Six plastic surgeons rated 15 photographs for each view three times. Intra- and inter-observer agreements were calculated by using the weighted kappa coefficient and differences in intra- and inter-observer agreements between the three views were assessed for statistical significance using the Kruskal-Wallis test.

RESULTS

The mean intra-observer agreements were 0.91 (range, 0.82-0.98) for the AP view, 0.88 (range, 0.77-1.00) for the oblique view, and 0.86 (range, 0.74-0.97) for the lateral view and did not vary significantly between all three views. The mean inter-observer agreements were 0.88 (range, 0.77-0.95) for the AP view, 0.84 (range, 0.72-0.94) for the oblique view, and 0.82 (range, 0.58-0.95) for the lateral view. The mean inter-observer agreements of the AP view varied significantly from the oblique view (P = .012) and the lateral view (P = .001).

CONCLUSIONS

The Rainbow Scale for breast ptosis has been validated for the AP view, the lateral view, and the oblique view and is reproducible and reliable for the assessment of breast ptosis in three different views in an online setup.

LEVEL OF EVIDENCE

4 Diagnostic.

Inferior Breast-Chest Contour Detection in 3-D Images of the Female Torso

Stereophotogrammetry is finding increased use in clinical breast surgery, both for breast reconstruction after oncological procedures and cosmetic augmentation and reduction. The ability to visualize and quantify morphological features of the breast facilitates pre-operative planning and post-operative outcome assessment. The contour outlining the lower half of the breast is important for the quantitative assessment of breast aesthetics. Based on this inferior breast contour, relevant morphological measures, such as breast symmetry, volume, and ptosis, can be determined. In this paper, we present an approach for automatically detecting the inferior contour of the breast in 3D images. Our approach employs surface curvature analysis and is able to detect the breast contour with high accuracy, achieving an average error of 1.64 mm and a dice coefficient in the range of 0.72–0.87 when compared with the manually annotated contour (ground truth). In addition, the detected contour is used to facilitate the detection of the lowest visible point on the breast, which is an important landmark for breast morphometric analysis.

Computation of breast ptosis from 3D surface scans of the female torso

Stereophotography is now finding a niche in clinical breast surgery, and several methods for quantitatively measuring breast morphology from 3D surface images have been developed. Breast ptosis (sagging of the breast), which refers to the extent by which the nipple is lower than the inframammary fold (the contour along which the inferior part of the breast attaches to the chest wall), is an important morphological parameter that is frequently used for assessing the outcome of breast surgery. This study presents a novel algorithm that utilizes three-dimensional (3D) features such as surface curvature and orientation for the assessment of breast ptosis from 3D scans of the female torso. The performance of the computational approach proposed was compared against the consensus of manual ptosis ratings by nine plastic surgeons, and that of current 2D photogrammetric methods. Compared to the 2D methods, the average accuracy for 3D features was ~13% higher, with an increase in precision, recall, and F-score of 37%, 29%, and 33%, respectively. The computational approach proposed provides an improved and unbiased objective method for rating ptosis when compared to qualitative visualization by observers, and distance based 2D photogrammetry approaches.

Surgical decision making in conservative mastectomies

We present some clinical advice to drive the decision process in performing conservative mastectomies. Several factors are taken into consideration to indicate these techniques. First of all, we need to identify patients who need a mastectomy due to the extension of the disease. In this case we suggest assessing patients anthropometric characteristics (breast volume-ptosis), and personal preferences regarding the extension of surgical treatment. Small, medium size, without ptosis or with moderate ptosis can be better served by standard nipple-sparing mastectomy. Large and ptotic breast can be removed and reconstructed performing a skin-reducing mastectomy. Mastectomies cannot replace breast conservation and should be discouraged whenever breast-conserving surgery can be performed with good results. However, in some selected cases, and especially in patients with small breast, conservative mastectomies with contralateral reshape can yield favourable results.

Automated calculation of ptosis on lateral clinical photographs

RATIONALE, AIMS AND OBJECTIVES

The goal is to fully automate the calculation of a breast ptosis measure from clinical photographs through automatic localization of fiducial points relevant to the measure.

METHODS

Sixty-eight women (97 clinical photographs) who underwent or were scheduled for breast reconstruction were included. The photographs were divided into a development set (N = 49) and an evaluation set (N = 48). The breast ptosis measure is obtained automatically from distances between three fiducial points: the nipple, the lowest visible point of breast (LVP), and the lateral terminus of the inframammary fold (LT). The nipple is localized using the YIQ colour space to highlight the contrast between the areola and the surrounding breast skin. The areola is localized using its shape, location and high Q component intensity. The breast contour is estimated using Dijkstra's shortest path algorithm on the gradient of the photograph in greyscale. The lowest point of the estimated contour is set as the LVP. To locate the anatomically subtle LT, the location of patient's axilla is used as a reference.

RESULTS

The algorithm's efficacy was evaluated by comparing manual and automated localizations of the fiducial points. The average nipple diameter was used as a cut-off to define success. The algorithm showed 90, 91 and 83% accuracy for locating the nipple, LVP and LT in the evaluation set, respectively.

CONCLUSION

This study presents a new automated algorithm that may facilitate the quantification of breast ptosis from lateral views of patients' photographs.

Photographs for anthropometric measurements of the breast region. Are there limitations?

PURPOSE

To determine the limitations of the photographs used to obtain the anthropometric measurements of the breast region.

METHODS

Five women, between the ages of 18 to 60 years, were evaluated. Photographs of the frontal and left and right profile views of their breasts were taken. Based on the current literature, the most commonly used anthropometric and anatomic landmarks for breast measurement were marked in their different positions. The different points were used to evaluate if the direct anthropometry was possible in a standardized way and determine how the points and the positions can to be used in any breast measurements.

RESULTS

There were some limitations to the use of defining points of the breast fold, as well as of its lower portion and lateral extension positions in both profiles.

CONCLUSION

The defining points of the breast fold and the profile photographs have some limitations and we suggested how the points and positions can be used for breasts measurements.

Anthropometry of the breast region: how to measure?

BACKGROUND

Breast region measurements are important for research, but they may also become significant in the legal field as a quantitative tool for preoperative and postoperative evaluation. Direct anthropometric measurements can be taken in clinical practice. The aim of this study was to compare direct breast anthropometric measurements taken with a tape measure and a compass.

METHODS

Forty women, aged 18-60 years, were evaluated. They had 14 anatomical landmarks marked on the breast region and arms. The union of these points formed eight linear segments and one angle for each side of the body. The volunteers were evaluated by direct anthropometry in a standardized way, using a tape measure and a compass.

RESULTS

Differences were found between the tape measure and the compass measurements for all segments analyzed (p>0.05).

CONCLUSION

Measurements obtained by tape measure and compass are not identical. Therefore, once the measurement tool is chosen, it should be used for the pre- and postoperative measurements in a standardized way.

LEVEL OF EVIDENCE IV

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Validation of the Kinect device as a new portable imaging system for three-dimensional breast assessment

AIM

The aim of this study was the evaluation of a new, simple, touchless, low-cost and portable three-dimensional (3D) measurement system for objective breast assessment.

METHOD

The Kinect Recording System by Microsoft was used. Coloured and depth images were captured of nine silicone breast implants of known volumes. The data were processed using Matlab(®) software. Volume measurements were obtained in a blinded calculation on the 3D images. For further comparison, implant volumes were assessed with the Arthur Morris device, a manual measurement tool.

RESULTS

Four tests revealed that the true breast implant volumes were calculated within an error margin of 10%. Reproducibility of measurements was satisfactory. Overall, the accuracy and reproducibility of the measurements of the Kinect System were better than those of the Arthur Morris device. Accuracy of volume assessments with the Kinect System was satisfactory for clinical application. Our new portable 3D imaging system was successfully validated.

DISCUSSION

The portable and easy-to-use system has several advantages against the currently available commercial systems. Despite a slight overestimation of the volume data, we felt that these results were very promising due to the repeatability of the measurements. After validating the measurement accuracy of the system in a simpler case, we aim to conduct further studies on 3D breast assessment.

CONCLUSION

The results obtained with the Kinect System were sufficiently accurate and reproducible for application in 3D breast capture. We successfully validated the portable 3D imaging system for the first ever use in 3D breast assessment.

Automated Identification of Fiducial Points on 3D Torso Images

Breast reconstruction is an important part of the breast cancer treatment process for many women. Recently, 2D and 3D images have been used by plastic surgeons for evaluating surgical outcomes. Distances between different fiducial points are frequently used as quantitative measures for characterizing breast morphology. Fiducial points can be directly marked on subjects for direct anthropometry, or can be manually marked on images. This paper introduces novel algorithms to automate the identification of fiducial points in 3D images. Automating the process will make measurements of breast morphology more reliable, reducing the inter- and intra-observer bias. Algorithms to identify three fiducial points, the nipples, sternal notch, and umbilicus, are described. The algorithms used for localization of these fiducial points are formulated using a combination of surface curvature and 2D color information. Comparison of the 3D co-ordinates of automatically detected fiducial points and those identified manually, and geodesic distances between the fiducial points are used to validate algorithm performance. The algorithms reliably identified the location of all three of the fiducial points. We dedicate this article to our late colleague and friend, Dr. Elisabeth K. Beahm. Elisabeth was both a talented plastic surgeon and physician-scientist; we deeply miss her insight and her fellowship.

A shape constrained parametric active contour model for breast contour detection

Quantitative measures of breast morphology can help a breast cancer survivor to understand outcomes of reconstructive surgeries. One bottleneck of quantifying breast morphology is that there are only a few reliable automation algorithms for detecting the breast contour. This study proposes a novel approach for detecting the breast contour, which is based on a parametric active contour model. In addition to employing the traditional parametric active contour model, the proposed approach enforces a mathematical shape constraint based on the catenary curve, which has been previously shown to capture the overall shape of the breast contour reliably. The mathematical shape constraint regulates the evolution of the active contour and helps the contour evolve towards the breast, while minimizing the undesired effects of other structures such as, the nipple/areola and scars. The efficacy of the proposed approach was evaluated on anterior posterior photographs of women who underwent or were scheduled for breast reconstruction surgery including autologous tissue reconstruction. The proposed algorithm shows promising results for detecting the breast contour.

A pilot study on using eye tracking to understand assessment of surgical outcomes from clinical photography

Appearance changes resulting from breast cancer treatment impact the quality of life of breast cancer survivors, but current approaches to evaluating breast characteristics are very limited. It is challenging, even for experienced plastic surgeons, to describe how different aspects of breast morphology impact overall assessment of esthetics. Moreover, it is difficult to describe what they are looking for in a manner that facilitates quantification. The goal of this study is to assess the potential of using eye-tracking technology to understand how plastic surgeons assess breast morphology by recording their gaze path while they rate physical characteristics of the breasts, e.g., symmetry, based on clinical photographs. In this study, dwell time, transition frequency, dwell sequence conditional probabilities, and dwell sequence joint probabilities were analyzed across photographic poses and three observers. Dwell-time analysis showed that all three surgeons spent the majority of their time on the anterior-posterior (AP) views. Similarly, transition frequency analysis between regions showed that there were substantially more transitions between the breast regions in the AP view, relative to the number of transitions between other views. The results of both the conditional and joint probability analyses between the breast regions showed that the highest probabilities of transitions were observed between the breast regions in the AP view (APRB, APLB) followed by the oblique views and the lateral views to complete evaluation of breast surgical outcomes.

A novel quantitative measure of breast curvature based on catenary

Quantitative, objective measurements of breast curvature computed from clinical photographs could be used to investigate factors that impact reconstruction and facilitate surgical planning. This paper introduces a novel quantitative measure of breast curvature based on catenary. A catenary curve is used to approximate the overall curvature of the breast contour, and the curvature measure is extracted from the catenary curve. The catenary curve was verified by comparing its length, the area enclosed by the curve, and the curvature measure from the catenary curve to those from manual tracings of the breast contour. The evaluation of the proposed analysis employed untreated and postoperative clinical photographs of women who were undergoing tissue expander/implant (TE/Implant) reconstruction. Logistic regression models were developed to distinguish between the curvature of breasts undergoing TE/Implant reconstruction and that of untreated breasts based on the curvature measure and patient variables (age and body mass index). The relationships between the curvature measures of untreated breasts and patient variables were also investigated. The catenary curve approximates breast curvature reliably. The curvature measure contains useful information for quantifying the curvature differences between breasts undergoing TE/Implant reconstruction and untreated breasts, and identifying the effect of patient variables on the breast shape.

Automated calculation of symmetry measure on clinical photographs

RATIONALE, AIMS AND OBJECTIVES

The quality of life of breast cancer survivors is ameliorated by minimizing adverse effects on their physical appearance. Breast reconstruction is important for restoring the survivor's appearance. In breast reconstructive surgery, there is a need to develop technologies for quantifying surgical outcomes and understanding women's perceptions of changes in their appearance. Methods for objectively measuring breast anatomy are needed in order to help breast cancer survivors, radiation oncologists and surgeons quantify changes in appearance that occur with different breast reconstructive surgical options.

METHODS

In this study, we present an automated method for computing a variant of the normalized Breast Retraction Assessment, a common measure of symmetry, from routine clinical photographs taken to document breast cancer treatment procedures. The algorithms were designed using a development set of retrospectively collected clinical photographs and evaluated using a separate test set of prospectively collected clinical photographs.

RESULTS

We have developed new algorithms for automatically localizing the umbilicus and nipples on standard anterior-posterior clinical photographs, enabling the automatic calculation of measure of breast symmetry.

CONCLUSIONS

This study demonstrates that under standardized photographic conditions, automatic localization of fiducial points and subsequent computation of measures, such as symmetry, is feasible. The algorithms presented here for quantifying surgical outcomes in breast reconstructive surgery will provide a foundation for future work on assisting a cancer patient and her surgeons in selecting and planning reconstruction procedures that will maximize the woman's psychosocial adjustment to life as a breast cancer survivor.

3D Symmetry Measure Invariant to Subject Pose During Image Acquisition

In this study we evaluate the influence of subject pose during image acquisition on quantitative analysis of breast morphology. Three (3D) and two-dimensional (2D) images of the torso of 12 female subjects in two different poses; (1) hands-on-hip (HH) and (2) hands-down (HD) were obtained. In order to quantify the effect of pose, we introduce a new measure; the 3D pBRA (Percentage Breast Retraction Assessment) index, and validate its use against the 2D pBRA index. Our data suggests that the 3D pBRA index is linearly correlated with the 2D counterpart for both of the poses, and is independent of the localization of fiducial points within a tolerance limit of 7 mm. The quantitative assessment of 3D asymmetry was found to be invariant of subject pose. This study further corroborates the advantages of 3D stereophotogrammetry over 2D photography. Problems with pose that are inherent in 2D photographs are avoided and fiducial point identification is made easier by being able to panoramically rotate the 3D surface enabling views from any desired angle.

Assessment of cosmesis after breast reconstruction surgery: a systematic review

BACKGROUND

Breast reconstruction (BR) is undertaken to improve cosmetic outcomes, but how this is optimally assessed is uncertain. This review summarises current methods for assessing cosmesis after reconstructive surgery and makes recommendations for future practice.

METHODS

A comprehensive systematic review identified all studies with 20 or more participants that evaluated the cosmetic outcome of BR. Four evaluation criteria (reporting of study inclusion criteria, type and timing of BR and timing of assessment) were used to assess study quality. Articles reporting at least three of the four criteria were considered robust and further summarised to report methods of cosmetic assessment, assessor details and the scoring systems used.

RESULTS

122 primary papers assessed cosmesis in 11,308 women with median follow-up of 28.8 months (range 18.0-42.9 months). Cosmesis was assessed by either healthcare professionals or patients in 33 (27.1%) and 37 studies (30.3%), respectively, and by both professionals and patients in 52 (42.6%). Professional assessments included 43 (40.2%) clinical, 49 (45.8%) photographic and 13 (12.1%) geometric assessments conducted by between 1 and 26 observers. Surgeons were most frequently involved in assessments (n = 71, 67.6%), but in 38 (36.1%) papers the assessor's profession was not reported. Twenty-seven (25.7%) papers used previously published assessment scale. Patients' views were assessed in 89 studies, using questionnaires (n = 63) or interviews (n = 12); 14 (15.7%) did not report how patients' views were obtained.

CONCLUSIONS

Current methods for assessing the cosmetic outcome of BR vary widely. A valid patient-centred assessment method is required to fully understand the outcomes of BR and to inform decision-making.

Validation of stereophotogrammetry of the human torso

The objective of this study was to determine if measurements of breast morphology computed from three-dimensional (3D) stereophotogrammetry are equivalent to traditional anthropometric measurements obtained directly on a subject using a tape measure. 3D torso images of 23 women ranged in age from 36 to 63 who underwent or were scheduled for breast reconstruction surgery were obtained using a 3dMD torso system (3Q Technologies Inc., Atlanta, GA). Two different types (contoured and line-of-sight distances) of a total of nine distances were computed from 3D images of each participant. Each participant was photographed twice, first without fiducial points marked (referred to as unmarked image) and second with fiducial points marked prior to imaging (referred to as marked image). Stereophotogrammetry was compared to traditional direct anthropometry, in which measurements were taken with a tape measure on participants. Three statistical analyses were used to evaluate the agreement between stereophotogrammetry and direct anthropometry. Seven out of nine distances showed excellent agreement between stereophotogrammetry and direct anthropometry (both marked and unmarked images). In addition, stereophotogrammetry from the unmarked image was equivalent to that of the marked image (both line-of-sight and contoured distances). A lower level of agreement was observed for some measures because of difficulty in localizing more vaguely defined fiducial points, such as lowest visible point of breast mound, and inability of the imaging system in capturing areas obscured by the breast, such as the inframammary fold. Stereophotogrammetry from 3D images obtained from the 3dMD torso system is effective for quantifying breast morphology. Tools for surgical planning and evaluation based on stereophotogrammetry have the potential to improve breast surgery outcomes.

Automated spatial alignment of 3D torso images

This paper describes an algorithm for automated spatial alignment of three-dimensional (3D) surface images in order to achieve a pre-defined orientation. Surface images of the torso are acquired from breast cancer patients undergoing reconstructive surgery to facilitate objective evaluation of breast morphology pre-operatively (for treatment planning) and/or post-operatively (for outcome assessment). Based on the viewing angle of the multiple cameras used for stereophotography, the orientation of the acquired torso in the images may vary from the normal upright position. Consequently, when translating this data into a standard 3D framework for visualization and analysis, the co-ordinate geometry differs from the upright position making robust and standardized comparison of images impractical. Moreover, manual manipulation and navigation of images to the desired upright position is subject to user bias. Automating the process of alignment and orientation removes operator bias and permits robust and repeatable adjustment of surface images to a pre-defined or desired spatial geometry.

Aesthetics in breast conserving therapy: do objectively measured results match patients' evaluations?

BACKGROUND

To analyze the relationship of objective and subjective evaluation tools of breast aesthetics, we compare the results of the BCCT.core (breast cancer conservative treatment.cosmetic results) software, a semiautomated objective symmetry evaluation tool, with those of the Aesthetic Status of the BCTOS (Breast Cancer Treatment Outcome Scale) patient questionnaire.

MATERIALS AND METHODS

We included 128 patients with one-sided, primary breast cancer, treated conservatively in a prospective, exploratory study in order to assess the inter-rater reliability of the BCCT.core and the agreement between the BCCT.core and the BCTOS preoperatively, shortly and 1 year after surgery. Therefore, we use agreement rates, multiple (mk), and weighted (wk) kappa coefficients as statistical methods. Furthermore, we analyzed patient-, tumor-, and therapy-related variables as possible covariates to explain agreement.

RESULTS

The inter-rater reliability for the semiautomated BCCT.core is very good with agreement rates up to 84% (mk = 0.80). The agreement rates of the BCCT.core and the BCTOS Aesthetic Status range between 35 and 44% subject to the different times of assessment (wk = 0.34 at best). Moreover, the patients judge their aesthetic outcome more positively than the software. None of the considered patient-, tumor-, and therapy-related covariates turned out to explain agreement.

CONCLUSION

The BCCT.core is a reliable instrument that shows fair agreement with patient's perspective.

Towards quantifying the aesthetic outcomes of breast cancer treatment: comparison of clinical photography and colorimetry

RATIONALE, AIMS AND OBJECTIVES

Scarring is a significant cause of dissatisfaction for women who undergo breast surgery. Scar tissue may be clinically distinguished from normal skin by aberrant colour, rough surface texture, increased thickness (hypertrophy) and firmness. Colorimeters or spectrophotometers can be used to quantitatively assess scar colour, but they require direct patient interaction and can cost thousands of dollars. By comparison, digital photography is already in widespread use to document clinical outcomes and requires less patient interaction. Thus, assessment of scar coloration by digital photography is an attractive alternative. The goal of this study was to compare colour measurements obtained by digital photography and colorimetry.

METHODS

Agreements between photographic and colorimetric measurements of colour were evaluated. Experimental conditions were controlled by performing measurements on artificial scars created by a make-up artist. The colorimetric measurements of the artificial scars were compared with those reported in the literature for real scars in order to confirm the validity of this approach. We assessed the agreement between the colorimetric and photographic measurements of colour using a hypothesis test for equivalence, the intraclass correlation coefficient and the Bland-Altman method.

RESULTS

Overall, good agreement was obtained for three parameters (L*a*b*) measured by colorimetry and photography from the results of three statistical analyses.

CONCLUSION

Colour measurements obtained by digital photography were equivalent to those obtained using colorimetry. Thus, digital photography is a reliable, cost-effective measurement method of skin colour and should be further investigated for quantitative analysis of surgical outcomes.

A research agenda for appearance changes due to breast cancer treatment

Breast cancer is one of the most prevalent forms of cancer in the US. It is estimated that more than 180,000 American women will be diagnosed with invasive breast cancer in 2008. Fortunately, the survival rate is relatively high and continually increasing due to improved detection techniques and treatment methods. However, maintaining quality of life is a factor often under emphasized for breast cancer survivors. Breast cancer treatments are invasive and can lead to deformation of the breast. Breast reconstruction is important for restoring the survivor’s appearance. However, more work is needed to develop technologies for quantifying surgical outcomes and understanding women’s perceptions of changes in their appearance. A method for objectively measuring breast anatomy is needed in order to help both the breast cancer survivors and their surgeons take expected changes to the survivor’s appearance into account when considering various treatment options. In the future, augmented reality tools could help surgeons reconstruct a survivor’s breasts to match her preferences as much as possible.

Assessment of breast aesthetics

A good aesthetic outcome is an important endpoint of breast cancer treatment. Subjective ratings, direct physical measurements, measurements on photographs, and assessment by three-dimensional imaging are reviewed and future directions in aesthetic outcome measurements are discussed. Qualitative, subjective scales have frequently been used to assess aesthetic outcomes following breast cancer treatment. However, none of these scales has achieved widespread use because they are typically vague and have low intraobserver and interobserver agreement. Anthropometry is not routinely performed because conducting the large studies needed to validate anthropometric measures (i.e., studies in which several observers measure the same subjects multiple times) is impractical. Quantitative measures based on digital/digitized photographs have yielded acceptable results but have some limitations. Three-dimensional imaging has the potential to enable consistent, objective assessment of breast appearance, including properties (e.g., volume) that are not available from two-dimensional images. However, further work is needed to define three-dimensional measures of aesthetic properties and how they should be interpreted.