Introduction

With increasing emphasis on the cosmetic outcome of breast surgery, the role of breast volume estimation becomes more important. It helps the surgeon predict the esthetic effect of various breast surgeries on women, and guides the choice of the most appropriate treatment.

Various methods of breast volume estimation have been described. These include displacement methods [1, 2], external casting [3], and anthropometric measurements [4, 5]. Breast volume estimation using mammography has been previously described [69]. Because mammography is a common investigative tool for patients with breast cancer, mammographic estimation is a readily available option for which no additional equipment is needed. It also allows preoperative estimations of breast volume, which are invaluable in planning operations.

Mammographic estimation of breast volume has previously been considered by Katariya’s group [7]. According to their original method, breasts are considered as circular cones for volume estimation. Height and diameter of breasts were obtained from the craniocaudal view of mammograms, to which the formula of circular cones volume was applied for estimation. As the base of breast is more often an ellipse rather than a regular circle, it is not uncommon to encounter large discrepancies between the diameters obtained from the craniocaudal view and the medial–lateral-oblique view of mammography. In the study, we proposed an elliptical modification (EC formula) of the Katariya method (CC formula) of mammographic breast volume estimation. We evaluated the accuracy and reproducibility of estimations using this modified method.

Patients and methods

We retrospectively reviewed the mammograms and operative records of patients who underwent mastectomies in the period January 2005 to December 2006. Patients with recorded specimen weight and available preoperative mammograms were included in the study. We only included patients with mammograms that contained nonmagnified images.

Height of breast (h) and width of breast base (2r) were determined by direct measurement on the mammograms (Fig. 1). Height of breasts from both the craniocaudal view (h CC ) and the medial–lateral-oblique view (h MLO ) mammograms was defined as the longest perpendicular distance from the pectoralis major to the skin adjacent to the nipple. Width of breast was defined separately for mammograms in the craniocaudal view and the medial–lateral-oblique view. Width in craniocaudal view (2r CC ) was established as the maximum horizontal distance from the medial side to the lateral side of the breast, as recorded on the mammograms. Width in medial–lateral-oblique view (2r MLO ) was the distance from lateral thoracic artery to where the skin crosses the pectoralis major.

Fig. 1
figure 1

Measurement on craniocaudal view and medial–lateral-oblique view mammograms. h MLO height of breast in medial–lateral-oblique view mammogram, h CC height of breast in craniocaudal view mammogram, 2r MLO width of breast base in medial–lateral-oblique view mammogram, 2r CC width of breast base in craniocaudal view mammogram

The estimated breast volume was calculated using both the original Katariya method (CC formula: 1/3π r 2 CC h CC ) and our modified formula (EC formula: 1/3π r CC r MLO h MLO ). The basic difference between Katariya’s method and our method is the difference in geometric assumptions. In our modified version, breast volume is estimated by assuming breasts to be elliptical cones rather than circular cones. All the mammographic measurements were done individually by two surgeons.

Recorded weight was the weight of specimens from either simple mastectomy or modified radical mastectomy (MRM), as noted in the operative record of patients. Since all MRM specimens contained axillary content, making them unavoidably heavier than simple mastectomy specimens, a generic adjustment of MRM specimen weight was made by subtracting 50 g from the recorded weight. The specimen volume was then calculated from specimen weight using the density of 0.958 g/cm3. This density was based on the assumption that breasts were equally composed of fibroglandular tissues, which has a density of 1 g/cm3, and of fatty tissue, which has a density of 0.916 g/cm3.

The accuracy and reproducibility of breast volume estimation using the CC formula and the EC formula was then measured. For accuracy, the mean value of estimated breast volumes by the two observers was taken. We then noted the mean error of estimated volume from specimen volume. The degree of linear association between estimated breast volume and specimen volume was also analyzed by linear regression. For reproducibility, the interobserver differences in various breast measurements and bivariate correlation of estimated breast volume by the observers were noted. All statistical calculations were performed with SPSS version 13 (Chicago, IL).

Results

A total of 139 patients underwent mastectomy in our center within the study period. Specimen weight and mammographic films were retrievable in 81 patients. Because two of the patients had bilateral disease and underwent bilateral mastectomy, there were 83 samples suitable for further analysis: 13 simple mastectomies and 70 MRMs.

The mean age of the patients was 57 (standard deviation [SD] = 14). The mean specimen volume was 568 cm3 (SD = 236). The mean estimated breast volume with the CC formula and the EC formula was 517 and 572 cm3, respectively. The mean error of estimated volume from specimen volume was −51.3 cm3 (SD = 182) by the CC formula and 3.8 cm3 (SD = 133) by the EC formula (Table 1).

Table 1 Mean volume and mean error of breast volume estimation

We created a scatter plot of the specimen volume against the estimated breast volume by the two methods (Fig. 2). From this graph, we are convinced that a linear relationship existed between the estimated breast volume and specimen volume. We used linear regression to analyze this relationship. The correlation coefficient (R) of the estimated breast volume with the EC formula was 0.977, and that using the CC formula was 0.952. The regression equation from both estimation methods was also obtained. They both have slope approaching 1 (1.025 for the CC formula, and 0.966 for the EC formula).

Fig. 2
figure 2

Linear correlation of estimated breast volume and specimen volume

The interobserver difference in breast measurements made in the craniocaudal view and the medial–lateral-oblique view is shown in Table 2. A higher percentage difference is noted between observers in all breast measurements taken from the medial–lateral-oblique view mammograms. The Pearson correlation coefficient of the estimations by the two observers using the Katariya method was 0.949 (p < 0.001), while that using elliptical method was 0.926 (p < 0.001).

Table 2 Inter-observer differences in breast measurements

Discussion

The mathematical principle behind Katariya’s original method for mammographic breast volume estimation is to assume breasts as circular cones. This method is based on measurements made on craniocaudal view mammograms, which are more consistent between different observers. However, for women with large breasts, the base of the breast can sometimes be missed in craniocaudal view mammograms, leading to underestimation of both the height and the width of the breast [10]. In addition, experience from measuring mastectomy specimens showed that the base of the breast looks more like an ellipsis than a circle. Such observations inspired us to modify the Katariya method, applying it to the elliptical cone model, in order to address these issues.

The accuracy of both the original and elliptical estimations was assessed in this study. Both methods of estimation achieved very good correlation with the specimen volume, with Pearson correlation coefficients above 0.95. For error of estimation, the mean error using the EC formula was 3.8 cm3, in comparison with a mean error of −51.3 cm3 using CC formula. This indicates that the volume estimates using the elliptical cone method are slightly more accurate.

We have also assessed the reproducibility of measurements and estimations between observers. A greater interobserver percentage difference was noted in measurements made on medial–lateral-oblique view mammograms. The correlation of results between the two observers using both estimation methods was also noted, with a slightly inferior correlation noted when the EC formula was used.

In their study, Kalbhen et al. noted that the measurements made on medial–lateral-oblique view mammograms were less reproducible than those made on craniocaudal view images [9]. He suggested that the variable amount of axillary tissue present in medial–lateral-oblique view mammograms could make subsequent measurements liable for interobserver variation. In the present study, the medial–lateral-oblique measurements were made using the shadow of lateral thoracic artery as reference point. Theoretically, this could improve the interobserver variability by avoiding measurement of axillary content. However, such a method is less straightforward and requires additional training before practical use. As reflected in this study, a relatively greater mean percentage difference in medial–lateral-oblique measurements is still present. We believe that this problem could be overcome with additional experience and practice.

There are potential limitations to this study. Specimen volume was obtained by conversion of specimen weight using the assumed breast tissue density of 0.958 g/cm3. This assumption may not be true in every individual, as the amount of adipose and fibroglandular tissue within the breast varies among women [6]. Nevertheless, as the maximum error arising from inaccurate assumption of breast density is only 4%, we believe such systematic error should be negligible. In addition, breast volume is known to vary within menstrual cycle, which was not taken into account in this study [11]. Because both breast imaging and operation were both performed without regard to menstrual cycle in practice, such an effect was not specifically controlled in order to reflect a more realistic situation.

Conclusions

In conclusion, we have applied an elliptical cone model for breast volume estimation in mammograms. This method of estimation is as accurate and reproducible as the traditional method proposed by Katariya and colleagues. The accuracy of such measurements is invaluable for breast surgeons and breast cancer patients in choosing their suitable treatment options.