The cost effectiveness of three different measures of breast volume

A Machine Learning-Based Model for Breast Volume Prediction Using Preoperative Anthropometric Measurements

BACKGROUND

Accurate assessment of breast volume is helpful in preoperative planning and intraoperative judgment in both cosmetic and reconstructive breast surgery. In this prospective study, a formula was derived using machine learning algorithm (Gradient Boosted Model).

METHOD

A prospective study was performed on 39 female-to-male transgender patients. Bilateral mastectomy was done for all patients. Preoperative anthropometric measurements were performed on 78 breasts of these patients. Weight of breasts was calculated postoperatively with digital scale (weight), and then volume of breasts was calculated with the calibrated container (water displacement technique). Authors built a model based on Python CatBoostClassifier. Finally, an android application was built for ease of real-time utilization.

RESULTS

Eight anthropometric measurements were collected preoperatively as independent variables. Breast vertical perimeter at lower half, upper pole, sternal notch to nipple and nipple to IMF had most correlation with volume and weight. Based on machine learning model, the following formula established: Breast volume = (breast width) × 24.69 + (nipple to IMF) × 49.03 - (sternal notch to nipple) × 1.34 + (anterior axillary line to medial border) × 6.57 - (upper pole) × 1.27 - (chest perimeter IMF) × 5.63 + (chest perimeter nipple) × 10.40 + (breast vertical perimeter at lower half) × 9.20 - 1133.74. The R2 of the model is 0.93, and RMSE is 62.4.

CONCLUSION

Our formula is an accurate method for preoperative breast volume assessment. We built an android App (Breast Volume Predictor) for the real-time utilization of resulting formula. It is available at Google Play Store for free download.

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 .

Can we predict the neutral breast position using the gravity-loaded breast position, age, anthropometrics and breast composition data?

BACKGROUND

This study aimed to identify the predictor variables which account for neutral breast position variance using a full independent variable dataset (the gravity-loaded breast position, age and anthropometrics, and magnetic resonance imaging breast composition data), and a simplified independent variable dataset (magnetic resonance imaging breast composition data excluded).

METHODS

Breast position (three-dimensional neutral and static gravity-loaded), age, anthropometrics and magnetic resonance imaging breast composition data were collected for 80 females (bra size 32A to 38D). Correlations between the neutral breast position and the gravity-loaded breast position, age, anthropometrics, and magnetic resonance imaging breast composition data were assessed. Multiple linear and multivariate multiple regression models were utilised to predict neutral breast positions, with mean absolute differences and root mean square error comparing observed and predicted neutral breast positions.

FINDINGS

Breast volume was the only breast composition variable to contribute as a predictor of the neutral breast position. While ≥69% of the variance in the anteroposterior and mediolateral neutral breast positions were accounted for utilising the gravity-loaded breast position, multivariate multiple regression modelling resulted in mean absolute differences >5 mm.

INTERPRETATION

Due to the marginal contribution of breast composition data, a full independent variable dataset may be unnecessary for this application. Additionally, the gravity-loaded breast position, age, anthropometrics, and breast composition data do not successfully predict the neutral breast position. Incorporation of the neutral breast position into breast support garments may enhance bra development. However, further identification of variables which predict the neutral breast position is required.

Verification of Usability of Medical Image Data Using Projective Photography for Designing Clothing for Breast Cancer Patients

Manufacturing a customized mastectomy bra, using medical images obtained for breast cancer treatment, could be suggested as an alternative instead of the anthropometric method. However, the breast shape of a medical image is deformed from the anthropometric method as the measurement posture is different between the anthropometric method for making clothes and the medical image. As a breast consists of adipose tissues and a few muscles without bones, there is a possibility that a bra can be manufactured if the volume is constant. Therefore, a hypothesis was established that the volume of the breast would be constant, even if the measurement methods were different. As a result of the comparison of 3D-SIM and PPM by MRI, 18 items could be measured simultaneously. Nine items showed differences according to the measurement method. The next step in the case of 3D-SIM was calculating the volume by separating the breast shape into a cone and a hemispherical shape; in the case of MRI, an ellipsoidal volume formula was applied. A t-test was performed on the results obtained, showing no significant difference. Therefore, it was proven that the volume of the breast does not change despite the difference in the measurement and the measurement method.

Evaluating the Quality of Cost-Effectiveness Literature in Breast Surgery: What Do We Do Well and How Can We Do Better? A Systematic Review

BACKGROUND

Surgical options for breast cancer are numerous and span multiple surgical disciplines. Decision analyses aid surgeons in making the most cost-effective choice, thus reducing health care expenditure while maximizing patient outcome. In this study, we aimed to evaluate existing breast surgery cost-effectiveness literature against the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) validated scoring system.

METHODS

A PRISMA search was performed for cost-effectiveness within breast surgery. Articles were scored with CHEERS criteria on a 0-24 scale and qualitative data were collected. Subgroup analysis was performed comparing pre-CHEERS (published in 2013 or earlier) and post-CHEERS (published in 2014 or later) cohorts. Chi-squared analysis was performed to compare where studies lost points between cohorts.

RESULTS

Of 2279 articles screened, 46 articles were included. The average CHEERS score was 18.18. Points were most often lost for characterizing heterogeneity, followed by discount rate, incremental costs and outcomes, and abstract. Quality-adjusted life year was the most commonly used health outcome, with visual model or analog scales as the most commonly used measure of effectiveness obtained primarily from surgeons or physicians. Most articles characterized uncertainty by deterministic sensitivity analysis, followed by both deterministic and probabilistic, then probabilistic. Average CHEERS scores were similar between pre- and post-CHEERS cohorts (17.67 vs. 18.40, P > .05) There were several significant differences in where articles lost points between pre- and post-CHEERS cohorts.

DISCUSSION

In order to standardize the reporting of results, cost-effectiveness studies in breast surgery should adhere to the current CHEERS criteria and aim to better characterize heterogeneity in their analyses.

Clinical Assessment of Breast Volume: Can 3D Imaging Be the Gold Standard?

Background:

Three-dimensional (3D) camera systems are increasingly used for computerized volume calculations. In this study we investigate whether the Vectra XT 3D imaging system is a reliable tool for determination of breast volume in clinical practice. It is compared with the current gold standard in literature, magnetic resonance imaging (MRI), and current clinical practice (plastic surgeon’s clinical estimation).

Methods:

Breast volumes of 29 patients (53 breasts) were evaluated. 3D images were acquired by Vectra XT 3D imaging system. Pre-existing breast MRI images were collected. Both imaging techniques were used for volume analyses, calculated by two independent investigators. Breast volume estimations were done by plastic surgeons during outpatient consultations. All volume measurements were compared using paired samples t-test, intra-class correlation coefficient, Pearson’s correlation, and Bland–Altman analysis.

Results:

Two 3D breast volume measurements showed an excellent reliability (intra-class correlation coefficient: 0.991), which was comparable to the reliability of MRI measurements (intra-class correlation coefficient: 0.990). Mean (SD) breast volume measured with 3D breast volume was 454 cm³ (157) and with MRI was 687 cm³ (312). These volumes were significantly different, but a linear association could be found: y(MRI) = 1.58 × (3D) – 40. Three-dimensional breast volume was not significantly different from volume estimation made by plastic surgeons (472 cm³ (69), P = 0.323).

Conclusions:

The 3D imaging system measures lower volumes for breasts than MRI. However, 3D measurements show a linear association with MRI and have excellent reliability, making them an objective and reproducible measuring method suitable for clinical practice.

Measuring Differential Volume Using the Subtraction Tool for Three-Dimensional Breast Volumetry: A Proof of Concept Study

Background. Three-dimensional (3D) photography provides a promising means of breast volumetry. Sources of error using a single-captured surface to calculate breast volume include inaccurate designation of breast boundaries and prediction of the invisible chest wall generated by computer software. An alternative approach is to measure differential volume using subtraction of 2 captured surfaces. Objectives. To explore 3D breast volumetry using the subtraction of superimposed images to calculate differential volume. To assess optimal patient positioning for accurate volumetric assessment. Methods. Known volumes of breast enhancers simulated volumetric changes to the breast (n = 12). 3D photographs were taken (3dMDtorso) with the subject positioned upright at 90° and posteriorly inclined at 30°. Patient position, breathing, distance and camera calibration were standardised. Volumetric analysis was performed using 3dMDvultus software. Results. A statistically significant difference was found between actual volume and measured volumes with subjects positioned at 90° (P < .05). No statistical difference was found at 30° (P = .078), but subsequent Bland–Altman analysis showed evidence of proportional bias (P < .05). There was good correlation between measured and actual volumes in both positions (r = .77 and r = .85, respectively). Univariate analyses showed breast enhancer volumes of 195 mL and 295 mL to incur bias. The coefficient of variation was 5.76% for single observer analysis. Conclusion. Positioning the subject at a 30° posterior incline provides more accurate results from better exposure of the inferior breast. The subtraction tool is a novel method of measuring differential volume. Future studies should explore methodology for application into the clinical setting.

Hybrid Breast Augmentation: A Reliable Formula for Preoperative Assessment of Fat Graft Volume Based on Implant Volume and Projection

BACKGROUND

Autogenous fat grafting (AFG) is an established technique used as an adjunct to breast augmentation (BA) to redesign breast shape. Surgeons often use experience and intuition to estimate AFG volume, which can result in incorrect assessment of donor areas and unnecessary fat removal.

OBJECTIVES

This aim of this study was to develop a method based on a mathematical formula, which utilizes implant volume and projection to predict AFG volume.

METHODS

Thirty patients (60 breasts) underwent primary hybrid BA. A software package (SketchUp) was used to simulate 3-dimensional AFG and implant volumes, which in turn were used to develop an equation for estimating AFG volume according to 3 different implant projections. The results for each group were compared, via Pearson's correlation coefficient, with the results of the clinical series.

RESULTS

All patients received Motiva Ergonomix SmoothSilk/SilkSurface implants, ranging in volume from 175 to 355 cc (mean, 265 cc), as well as an average AFG volume of 79.2 cc/breast (range, 50-110 cc). Twenty-nine patients (96.6%) were either very satisfied or satisfied during a mean follow-up of 18 months (range, 6-28 months). A high correlation was observed between the AFG performed in the cohort and predictions obtained from the formula (r = 0.938, P < 0.001).

CONCLUSIONS

The AFG volume in hybrid BA procedures can be estimated utilizing measurements based on implant volume/projection. This low-cost method can be applied to guide surgical decision-making in patients who are candidates for BA.

LEVEL OF EVIDENCE: 4

Novel measurements for radiodermatitis research and clinical care: A pilot and feasibility study

PURPOSE

The role of clinician-measured breast length and bra cup size in the development of radiodermatitis over time and the efficacy of using multiple measurements of skin toxicity during radiotherapy were piloted. The feasibility of measures to be used in a larger future study was assessed.

METHODS AND MATERIALS

Participants included women receiving normofractionated or accelerated external breast radiotherapy provided in the supine position using 3-dimensional conformal techniques at a US community cancer center. Acute skin toxicity was assessed using the RTOG scale in 7 areas within the treatment field across 6 timepoints. The total score for the 7 areas was calculated each week. Breast length was measured, examined as an acute radiodermatitis risk factor, and compared against reported bra cup size. RM-ANOVAs examined radiodermatitis using maximum skin toxicity and 7 sites in the radiotherapy field over 6 timepoints. Correlation was implemented to explore the relationship between study variables.

RESULTS

Forty women consented to this study. Increase in breast length significantly correlated with increase in maximum RTOG score (p = .04); increased RTOG score in the upper medial breast quadrant (p = .04), upper lateral quadrant (p = .02), lower lateral quadrant (p = .02), inframammary fold (p = .001); with increasing BMI (p = .002) and bra cup size (p = .0003). The clinician-measured breast lengths and participant-reported bra cup sizes were discordant. Participants completed all measures and measurements including breast length.

CONCLUSIONS

Our results suggest that measuring breast length and assessing radiodermatitis in multiple areas of the treatment field is feasible. These measures may increase the sensitivity of skin toxicity assessment.

New software and breast boundary landmarks to calculate breast volumes from 3D surface images

Background

A method to accurately calculate breast volumes helps achieving a better breast surgery outcome. 3D surface imaging potentially allows these calculations in a harmless, quick, and practicable way. The calculated volume from a 3D surface image is dependent on the determined breast boundary and the method of chest wall simulation by software. Currently, there is no consensus on a robust set of breast boundary landmarks and validation studies on breast volume calculation software are scarce. The purposes of this study were to determine the robustness of newly introduced breast boundary landmarks and introduce and validate a new method to simulate a chest wall.

Methods

Sixteen subjects who underwent a unilateral simple mastectomy were included. In addition to the natural skin fold of the breast, the sternomanubrial joint, the transition of the pectoral muscle curve into the breast curvature, and the midaxillary line were used as landmarks to indicate the breast boundary. The intra- and interrater variability of these landmarks was tested. Furthermore, new chest wall simulation software was validated on the breastless chest side of the subjects.

Results

The intra- and interrater variability of the three breast boundary markers was small (mean 3.5–6.7 mm), and no significant difference was found between the intra- and interrater variability (p = 0.08, p = 0.06, and p = 0.10). The mean volume error of the most accurately simulated chest wall was 4.6 ± 37 ml.

Conclusion

The newly introduced landmarks showed to be robust and our new chest wall simulation algorithm showed accurate results.

Level of Evidence: Level IV, diagnostic study.

Magnetic Resonance Imaging Versus 3-Dimensional Laser Scanning for Breast Volume Assessment After Breast Reconstruction

BACKGROUND

There are several methods available for measuring breast volume in the clinical setting, but the comparability and accuracy of different methods is not well described. The ideal breast volume measurement technique should be low cost, comfortable for the patient, have no ionizing radiation and be non-invasive.

METHODS

Prospective cohort study comparing a 3-dimensional (3D) laser scanner versus noncontrast magnetic resonance imaging (MRI) for breast volume assessment. Subjects were women undergoing breast reconstruction with autologous fat graft. Both types of scan were performed the day before fat grafting and at 6 months postoperatively. Pearson correlations and Bland-Altman tests were performed to compare the assessment methods.

RESULTS

Eighteen patients underwent preoperative breast MRI and 3D laser scanning. Eighteen patients also underwent assessment 6 months after surgery. The total number of breasts scanned for comparison was 36, with a total of 72 comparisons for analysis. There was a strong linear association between the 2 methods using a Pearson correlation (r = 0.79; P <0.001), and Bland-Altman showed a high level of agreement between the 2 methods.

CONCLUSIONS

The 3D laser scanning, with an established protocol, was found to be equivalent to non-contrast MRI for the assessment of breast volume. Given the convenience of laser scanning and potential for lower cost compared with MRI, this technique should be considered for quantifying outcomes after complex breast reconstruction when the equipment is available.

The combined use of senometry and ultrasonography for breast cancer surgical planning

Objective. Ultrasound exerts an important role in breast cancer diagnosis protocol, but the use of eco-senometry can also improve therapeutic options, surgical planning and technique. Methods. We describe various measurement formulas and techniques that are applied in order to acquire important information regarding the breast and its lesions. Results. Senometry and ultrasonography have been proven to be very effective, reaching up to reliability levels as high as 0.997 and accuracy levels as high as 99.6%. Conclusions. Senometry and ultrasonography have clearly demonstrated their value in breast cancer diagnosis and treatment. These methods are reliable, inexpensive and can be easily performed by the surgeon. More advances in the domain are expected in the future.

Patient Satisfaction with Implant Based Breast Reconstruction Associated with Implant Volume and Mastectomy Specimen Weight Ratio

Purpose

Breast volume assessment is one of the most important steps during implant-based breast reconstruction because it is critical in selecting implant size. According to previous studies, there is a close relationship between the mastectomy specimen weight and resected breast volume. The aim of this study was to evaluate long-term patient satisfaction with implant-based breast reconstruction guided by the ratio of implant volume to mastectomy specimen weight. In doing so, we describe the ideal ratio for patient satisfaction.

Methods

A total of 84 patients who underwent implant-based breast reconstruction for breast cancer were included in this study. The patients were grouped by the ratio of implant size to mastectomy specimen weight (group 1, <65%; group 2, 65%–75%; and group 3, >75%). Outcome analysis was performed using a questionnaire of patient satisfaction and the desired implant size.

Results

Patient satisfaction scores concerning the postoperative body image, size, and position of the reconstructed breast were significantly higher in group 2. The average ratio of the ideal implant volume to mastectomy specimen weight for each group was 71.9% (range, 54.5%–96.7%), with the differences across the three groups being not significant (p=0.244).

Conclusion

Since there is an increase in breast reconstruction, selecting the appropriate breast implant is undoubtedly important. Our novel technique using the ratio of implant volume to mastectomy specimen weight provides physicians a firm guide to intraoperative selection of the proper implant in reconstructive breast surgery.

A novel fully automatic measurement of apparent breast volume from trunk surface mesh

This paper presents a novel method for assessing apparent breast volume from trunk surface mesh without any manual intervention. The proposed method requires a closed and smooth triangular mesh of the trunk. It comprises four main steps: automatic nipple localization, automatic breasts delineation, chest-wall interpolation and volume computation. The mean curvature is computed for each vertex using a quadratic fitting approach and used as an indicator to determine the convex fold of the breasts. The delineation is modeled as an ellipse in the frontal plane and all the vertices inside it are removed. The remaining ones are used to interpolate the chest wall with radial basis functions. The voxels inside the resulting mesh without breasts are then subtracted from the original voxelized volume to generate the breasts volume. The validation is conducted on 30 adolescent female for each of which an MRI and a trunk surface (TS) acquisitions were available. Three breast volumes are considered: the anatomical volumes (AV) manually segmented on the MRI, the external volumes computed with the proposed method first in prone position (EVP) using the trunk mesh extracted from the MRI, and second, in standing position (EVS) using the TS's mesh. Significant correlations (R> 0.77) are found between each two of the three volumes. AVs are much larger than both EVS and EPS. In fact, the manual segmentation using MRI slices allows for a direct visualization of the breast posterior delineation. Computed automatically, EVS and EPS are highly similar, indicating that the proposed method is robust to changes from prone to standing position. No significant difference between the regressions on the left and right breasts is noted. Fully-automatic 3D breast volumetry from trunk surface mesh is feasible and provides measurements that are highly correlated to manual MRI volumetry and robust to changes in posture.

The accuracy of breast volume measurement methods: A systematic review

Breast volume is a key metric in breast surgery and there are a number of different methods which measure it. However, a lack of knowledge regarding a method's accuracy and comparability has made it difficult to establish a clinical standard. We have performed a systematic review of the literature to examine the various techniques for measurement of breast volume and to assess their accuracy and usefulness in clinical practice. Each of the fifteen studies we identified had more than ten live participants and assessed volume measurement accuracy using a gold-standard based on the volume, or mass, of a mastectomy specimen. Many of the studies from this review report large (>200 ml) uncertainty in breast volume and many fail to assess measurement accuracy using appropriate statistical tools. Of the methods assessed, MRI scanning consistently demonstrated the highest accuracy with three studies reporting errors lower than 10% for small (250 ml), medium (500 ml) and large (1000 ml) breasts. However, as a high-cost, non-routine assessment other methods may be more appropriate.

Breast volumetric analysis for aesthetic planning in breast reconstruction: a literature review of techniques

BACKGROUND

Accurate volumetric analysis is an essential component of preoperative planning in both reconstructive and aesthetic breast procedures towards achieving symmetrization and patient-satisfactory outcome. Numerous comparative studies and reviews of individual techniques have been reported. However, a unifying review of all techniques comparing their accuracy, reliability, and practicality has been lacking.

METHODS

A review of the published English literature dating from 1950 to 2015 using databases, such as PubMed, Medline, Web of Science, and EMBASE, was undertaken.

RESULTS

Since Bouman's first description of water displacement method, a range of volumetric assessment techniques have been described: thermoplastic casting, direct anthropomorphic measurement, two-dimensional (2D) imaging, and computed tomography (CT)/magnetic resonance imaging (MRI) scans. However, most have been unreliable, difficult to execute and demonstrate limited practicability. Introduction of 3D surface imaging has revolutionized the field due to its ease of use, fast speed, accuracy, and reliability. However, its widespread use has been limited by its high cost and lack of high level of evidence. Recent developments have unveiled the first web-based 3D surface imaging program, 4D imaging, and 3D printing.

CONCLUSIONS

Despite its importance, an accurate, reliable, and simple breast volumetric analysis tool has been elusive until the introduction of 3D surface imaging technology. However, its high cost has limited its wide usage. Novel adjunct technologies, such as web-based 3D surface imaging program, 4D imaging, and 3D printing, appear promising.

Objective breast volume, shape and surface area assessment: a systematic review of breast measurement methods

BACKGROUND

There are many methods of measuring the breast and their clinical applications are well described in the literature. However, there has been no attempt to compare these various methods to allow the user to have a broad overview of the subject. The authors have attempted to summarise all the available methods to measure the breast in this article to provide a useful reference for all.

METHODS

A comprehensive literature search of PubMed was performed, and the resulting articles were screened and reviewed. The data regarding the methods' mechanism, reliability, time and cost were evaluated and compared.

RESULTS

A total of 74 articles dating from 1970 to 2013 were included in this study. All of the methods can be classified into those that measure (1) volume, (2) shape and (3) surface area. Each category consists of several methods that work through different mechanisms and they vary in their reliability and feasibility. Based on their mechanism, the volume measurement methods were further grouped into the natural shape methods, the stereological method, the geometrical methods and the mathematical modelling method.

CONCLUSIONS

More objective breast evaluation can be achieved if all three dimensions (volume, shape and surface area) are considered. In the volume measurements, 3D modelling and the MRI are the most reliable tools. Linear measurement (geometry) and mathematical modelling are less accurate but are more economical. In the shape measurements, besides the traditional linear measurement, 3D methods that can deliver colour-coded maps and Swanson's 2D photographic measurement system are capable of depicting and tracking breast shape changes after surgery. Although the surface area metric has not been used extensively, it has potential in clinical and research applications.

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.

Is Breast Asymmetry Present in Girls with Adolescent Idiopathic Scoliosis?

STUDY DESIGN

Cross-sectional descriptive study.

OBJECTIVES

To characterize breast asymmetry (BA), as defined by breast volume difference, in girls with significant adolescent idiopathic scoliosis (AIS), using magnetic resonance imaging (MRI).

SUMMARY AND BACKGROUND

BA is a frequent concern among girls with AIS. It is commonly believed that this results from chest wall deformity. Although many women exhibit physiological BA, the prevalence is not known in adolescents and it remains unclear if it is more frequent in AIS. Breasts vary in shape and size and many ways of measuring them have been explored. MRI shows the highest precision at defining breast tissue.

METHODS

Thirty patients were enrolled on the basis of their thoracic curvature, skeletal and breast maturity, without regard to their perception on their BA. MRI acquisitions were performed in prone with a 1.5-Tesla system using a 16-channel breast coil. Segmentation was achieved using the ITK-SNAP 2.4.0 software and subsequently manually refined.

RESULTS

The mean left breast volume (528.32 ± 205.96 cc) was greater compared with the mean right breast volume (495.18 ± 170.16 cc) with a significant difference between them. The mean BA was found to be 8.32% ± 6.43% (p < .0001). A weak positive correlation was observed between BA and thoracic Cobb angle (0.177, p = .349) as well as thoracic gibbosity angle (0.289, p = .122). The left breast was consistently larger in 65.5% of the patients. Twenty patients (66.7%) displayed BA ≥5%.

CONCLUSIONS

We have described BA in patients with significant AIS using MRI. This method is feasible, objective, and very precise. The majority of patients had a larger left breast, which could compound the apparent BA secondary to trunk rotation. In many cases, BA is present independently of thoracic deformity. This knowledge will assist in counseling AIS patients in regards to their concerns with BA.

Autologous fat transplantation: volumetric tools for estimation of volume survival. A systematic review

Autologous fat transplantation has gained great recognition in aesthetic and reconstructive surgery. Two main aspects are of predominant importance for progress control after autologous fat transplantation to the breast: quantitative information about the rate of fat survival in terms of effective volume persistence and qualitative information about the breast tissue to exclude potential complications of autologous fat transplantation. There are several tools available for use in evaluating the rate of volume survival. They are extensively compared in this review. The anthropometric method, thermoplastic casts, and Archimedes' principle of water displacement are not up to date anymore because of major drawbacks, first and foremost being reduced reproducibility and exactness. They have been replaced by more exact and reproducible tools such as MRI volumetry or 3D body surface scans. For qualitative and quantitative progress control, MRI volumetry offers all the necessary information: evaluation of fat survival and diagnostically valuable imaging to exclude possible complications of autologous fat transplantation. For frequent follow-up, e.g., monthly volume analysis, repeated MRI exams would not be good for the patient and are not cost effective. In these cases, 3D surface imaging is a good tool and especially helpful in a private practice setting where fast data acquisition is needed. This tool also offers the possibility of simulating the results of autologous fat transplantation.

LEVEL OF EVIDENCE V

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 .

Assessment of breast volume change after transverse rectus abdominis myocutaneous flap

BACKGROUND

The evaluation of a breast after breast reconstruction depends on a surgeon's subjective criteria. We used computed tomography (CT) scans to obtain an objective evaluation of the postoperative results by measuring the breast volume of patients who had undergone breast reconstruction using pedicled transverse rectus abdominis myocutaneous (TRAM) flaps. This research will help in the objective postoperative evaluation of reconstructed breasts, and also in the preoperative flap size designs.

METHODS

A total of 27 patients underwent breast reconstruction using pedicled TRAM flaps after mastectomy from September 2007 to July 2010. Of these, 10 patients who were followed up and underwent CT scans 2 or more times during the follow-up period were included in this study. We evaluated the change in breast volume over time using CT scans, and the interval breast volume change between CT scans.

RESULTS

All of the 10 patients' reconstructed breasts showed a volume decrease over time. The breast volume changes in the intervals between CT scans were as follows: 5.65% decrease between the first CT and second CT scan, 2.3% decrease between the second CT and third CT scan, (statistically significant) and 1.89% decrease between the third CT and forth CT scan. (not statistically significant).

CONCLUSIONS

This research shows the possibility of objectively evaluating the postoperative breast volume changes. The findings will be helpful in designing the size of TRAM flaps to use on defects after mastectomy. Based on these results, we should also closely observe the reconstructed breast volume for at least 2 years.

Accurate Assessment of Breast Volume by Computed Tomography Using Three-dimensional Imaging Device

Preoperative assessment of breast volume could contribute significantly to the planning of breast reconstructive surgery. However, breast volume measurements are not carried out on a routine basis, because there is still no commonly accepted standard method for such measurements. In the current study, we assessed whether routine computed tomography (CT) of the chest using a three-dimensional device could provide accurate estimation of breast volumes in patients with breast cancer. Ten consecutive patients and 11 breasts with breast cancer that underwent mastectomy with immediate breast reconstruction were enrolledin this study. Ineach case, a three-dimensional image was constructed according to the CT data using a volume-rendering technique. Computed breast volumes were compared with known breast volumes obtained from surgical specimens. The mean breast volume of surgical specimens was 324.1 ± 173.5 mL. The mean breast volume value was established to be 351.6 ± 174.3 mL with three-dimensional CT in a novel method. There was a strong linear association between breast volumes of surgical specimens and breast volumes measured by the three-dimensional CT method when using a Pearson correlation (r = 0.985, P < 0.001). Our results suggest that the calculation of breast volume using three-dimensional CT is accurate enough to have a significant clinical benefit in planning reconstructive breast surgery. This method can help the surgeon predict the esthetic effect of various breast surgeries and guide the choice of the most appropriate implant preoperatively.

Breast volumetry using a three-dimensional surface assessment technique

BACKGROUND

Breast volume is a relevant measure for the prevention and prediction of diseases and for aesthetic surgery. This study evaluated a new technique to determine breast volume and compared measures using a three-dimensional (3D) body surface scanner and magnetic resonance imaging (MRI) scans, with the latter used as the standard method.

METHODS

Both MRI scans and body surface 3D scans were obtained from 22 women. For each method, breast volumes were assessed. The MRI calculations of the breast volumes were performed by a specially trained radiologist using analysis software. A textured 3D image was generated by a calibrated digital texture camera after breast surface data acquisition. The volume assessment of the 3D photography was calculated using a software package after manual outlining of the breast and automated projection of a dorsal limit. Linear regression was used to predict the MRI volume assessment with the 3D image volume assessment.

RESULTS

The mean breast volume according to MRI volumetry was 442.8 ml on the left side and 471.8 ml on the right side. The mean breast volume using a 3D body surface volume assessment method was 273.8 ml (observer A) and 226.2 ml (observer B) on the left side and 284.4 ml (observer A) and 234.9 ml (observer B) on the right side. The use of linear regression models showed R (2) values of 0.59-0.77. The mean time for MRI recording and volume assessment was 68.0 ± 14.1 min for both sides and 11.6 ± 1.5 min for 3D recording and volume assessment.

CONCLUSIONS

The 3D surface-based volume measurements are feasible in terms of time and can predict the MRI breast volume with sufficient accuracy. This might facilitate the broad use of such an assessment technique in a large-scale epidemiologic study using breast volume as a study aim. Additionally, further development of volume assessments could help to implement this technique in breast surgery procedures.

Five methods of breast volume measurement: a comparative study of measurements of specimen volume in 30 mastectomy cases

BACKGROUND

To compare breast volume measurement techniques in terms of accuracy, convenience, and cost.

METHODS

Breast volumes of 30 patients who were scheduled to undergo total mastectomy surgery were measured preoperatively by using five different methods (mammography, anatomic [anthropometric], thermoplastic casting, the Archimedes procedure, and the Grossman-Roudner device). Specimen volume after total mastectomy was measured in each patient with the water displacement method (Archimedes). The results were compared statistically with the values obtained by the five different methods.

RESULTS

The mean mastectomy specimen volume was 623.5 (range 150-1490) mL. The breast volume values were established to be 615.7 mL (r = 0.997) with the mammographic method, 645.4 mL (r = 0.975) with the anthropometric method, 565.8 mL (r = 0.934) with the Grossman-Roudner device, 583.2 mL (r = 0.989) with the Archimedes procedure, and 544.7 mL (r = 0.94) with the casting technique. Examination of r values revealed that the most accurate method was mammography for all volume ranges, followed by the Archimedes method.

CONCLUSION

The present study demonstrated that the most accurate method of breast volume measurement is mammography, followed by the Archimedes method. However, when patient comfort, ease of application, and cost were taken into consideration, the Grossman-Roudner device and anatomic measurement were relatively less expensive, and easier methods with an acceptable degree of accuracy.

Magnetic resonance images and linear measurements in the surgical treatment of breast asymmetry

BACKGROUND

Objective evaluation of breast asymmetry surgical treatment should consider not only breast shape but also breast volume.

METHODS

For this study, 22 patients with primary breast asymmetry were evaluated by magnetic resonance imaging (MRI) as well as linear measurements preoperatively and 6 months postoperatively. The mean difference between the pre- and postoperative linear measurements was graduated from excellent to poor. Breast volume was estimated by MRI from axial reconstruction for three-dimensional application using the Cavalieri formula and specific software.

RESULTS

A strong correlation (r = 0.817) was found between the pre- and postoperative breast volumes, as increased or decreased by the surgical procedure. Patients with less postoperative volume differences tended to have the best ratings with linear measurements. When the same surgical procedure was performed bilaterally or when only one breast was treated by surgery, greater volume symmetry was observed.

CONCLUSIONS

Linear measurements and MRI are objective methods for evaluating postoperative symmetry, and when used in association, can help plastic surgeons to achieve favorable results in mammary asymmetry treatment.

Innovative techniques: a novel technique for intraoperative estimation of breast implant size in aesthetic and reconstructive breast surgery

The estimation of breast implant size in both aesthetic and reconstructive surgery often is a matter of clinical and intraoperative trial and error, with subsequent differences in the resulting postoperative outcomes. Numerous techniques for preoperative estimation of implant size are in current use. However, although such techniques are inexpensive, they often are inaccurate and prone to error on the part of both the surgeon and the patient. Techniques for intraoperative estimation of breast implant size involve either the use of trial sizers or the surgeon's own guesswork based on the preoperative consultation. A novel technique is presented that uses commonly available surgical gauze swabs. The senior author has applied this technique in both aesthetic and reconstructive breast surgery for many years. This easily reproducible method is inexpensive and produces reliable and highly satisfactory results.

Comparison between breast volume measurement using 3D surface imaging and classical techniques

Quantification of the complex breast region can be helpful in breast surgery, which is shaped by subjective influences. However, there is no generally recognized method for breast volume calculation. Three-dimensional (3D) body surface imaging represents a new alternative for breast volume computation. The aim of this work was to compare breast volume calculation with 3D scanning and three classic methods, focusing on relative advantages, disadvantages, and reproducibility. Repeated breast volume calculations of both breasts in six patients (n=12) were performed using a 3D laser scanner, nuclear magnetic resonance imaging (MRI), thermoplastic castings, and anthropomorphic measurements. Mean volumes (cc) and mean measurement deviations were calculated, and regression analyses were performed. MRI showed the highest measurement precision, with a mean deviation (expressed as a percentage of mean breast volume) of 1.56+/-0.52% compared with 2.27+/-0.99% for the 3D scanner, 7.97+/-3.53% for thermoplastic castings, and 6.26+/-1.56% for the anthropomorphic measurements. Breast volume calculations using MRI showed the best agreement with 3D scanning measurement (r=0.990), followed by anthropomorphic measurement (r=0.947), and thermoplastic castings (r=0.727). Compared with three classical methods of breast volume calculation, 3D scanning provides acceptable accuracy for breast volume measurements, better spatial interpretation of the anatomical area to be operated on (due to lack of chest deformation), non-invasiveness, and good patient tolerance. After this preliminary study and further development, we believe that 3D body surface scanning could provide better preoperative planning and postoperative control in everyday clinical practice.