Further Applications of Archimedesʼ Principle in the Correction of Asymmetrical Breasts

Schultz, Richard C.; Dolezal, Rudolph F.; Nolan, James P.

doi:10.1097/00000637-198602000-00003

Cited by 55 publications

(25 citation statements)

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“…There are numerous methods for measuring breast volume, such as water displacement [15], casting [16], the Grossman-Roudner device [17], biostereometric analysis with stereometric cameras [18], and radiological measurements [19]. However, even if volume can be measured, it is still a matter of presumption or estimation how much is going to be removed since mammary physiognomy of the patients varies.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Resection Weight in Reduction Mammaplasty Based on Anthropometric Measurements

Keçeci¹,

Sır²

2014

Breast Care

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Background: The aim of this study was to develop a simple, clinically useful method to accurately predict resection weight in women undergoing reduction mammaplasty. Patients and Methods: 39 women undergoing breast reduction participated in the study. Sternal notch to nipple distance, nipple to inframammary fold distance (NIMF), medial end point to nipple distance (MN), lateral endpoint to nipple distance (LN), superior border of the breast to nipple distance (SN), breast circumference (BC), and chest circumference (CC) were measured. 5 other predicting variables were also derived; horizontal breast measurement (H) by adding MN to LN, vertical breast measurement (V) by adding NIMF to SN, the product of H and V (H*V), the product of H and NIMF (H*NIMF), and the difference between BC and CC (D). Regression analysis was used to compose a formula for predicting resection weight. Results: Among the predicting variables, H*NIMF measurements had the highest correlation coefficient value (Pearson correlation = 0.809) with the resection weight. The following formula was obtained with regression analysis: Predicted resection weight = (1.45 × H*NIMF) + (31.5 × D) - 576. Conclusion: Breast resection weights can be accurately predicted by the presented method based on anthropomorphic measurements.

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Section: Discussionmentioning

confidence: 99%

Prediction of Resection Weight in Reduction Mammaplasty Based on Anthropometric Measurements

Keçeci¹,

Sır²

2014

Breast Care

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“…Breast In Situ Water Displacement For this method, the patients are placed in a prone position or on their knees and the breast is immersed in water in a container; then the volume of the displaced water is calculated [23,38,41,42].…”

Section: The Other Measurement Methodsmentioning

confidence: 99%

Objective Breast Volume, Shape and Surface Area Assessment: A Systematic Review of Breast Measurement Methods

Perdanasari

Ong

et al. 2014

Aesth Plast Surg

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“…20,21,32,33 The drawbacks of previous techniques include distortion causing variable results and equipment complexity and expense. Although it is well recognized that skin surface area is an important parameter in the determination of breast symmetry and shape, there are no quantitative data in the plastic surgery literature documenting normal or abnormal values.…”

Section: Plastic and Reconstructive Surgery • May 2009mentioning

confidence: 99%

Surface Area Measurement of the Female Breast: Phase I. Validation of a Novel Optical Technique

Thomson

Liu

Restifo

et al. 2009

Plastic and Reconstructive Surgery

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Further Applications of Archimedesʼ Principle in the Correction of Asymmetrical Breasts

Cited by 55 publications

References 0 publications

Prediction of Resection Weight in Reduction Mammaplasty Based on Anthropometric Measurements

Prediction of Resection Weight in Reduction Mammaplasty Based on Anthropometric Measurements

Objective Breast Volume, Shape and Surface Area Assessment: A Systematic Review of Breast Measurement Methods

Surface Area Measurement of the Female Breast: Phase I. Validation of a Novel Optical Technique

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