Literature DB >> 11818828

The prediction of breast reduction weight.

Nicole Z Sommer1, Elvin G Zook, Steven J Verhulst.   

Abstract

Reimbursement for reduction mammaplasty has become more stringent because many insurers require specific documentation of patient symptoms and estimated weight of planned breast resection. The purpose of this study was to develop a simple, clinically useful method for predicting weight of breast tissue to be removed, using routine, easily obtained predictors (i.e., height, weight, age, measurements from sternal notch to nipple, and measurements from sternal notch to inframammary crease). Data were available from a retrospective review of 263 women undergoing reduction mammaplasty. Analyses were performed to predict resected weights obtained both in the operating room and by a pathologist for left and right breasts separately. Regression analyses showed that the sternal notch-to-nipple measurement accounted for nearly all of the explained variance in the resected weights, with correlations around 0.80 between sternal notch to nipple and resected weight. For sternal notch-to-nipple measurements > or 28.5 cm, predicted resected weights were approximately 600 g or more, and in general, 80 percent or more patients had specimen weights >500 grams. From 25.5 to 28 cm, the predicted weights ranged from about 400 to 600 g and the prediction rate of weights >500 g was 50 percent. The senior author predicted the resected breast weight to be >500 g 94 percent of the time. The equation alone did not produce an accurate prediction in the critical range, 400 to 600 g. The experienced surgeon more accurately predicted resected weights with use of practiced spatial relationship skills.

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Mesh:

Year:  2002        PMID: 11818828     DOI: 10.1097/00006534-200202000-00015

Source DB:  PubMed          Journal:  Plast Reconstr Surg        ISSN: 0032-1052            Impact factor:   4.730


  6 in total

1.  Prediction of resection weight in reduction mammaplasty based on anthropometric measurements.

Authors:  Yavuz Kececi; Emin Sir
Journal:  Breast Care (Basel)       Date:  2014-02       Impact factor: 2.860

2.  Predicting breast reduction weight using the mass of breast ptosis.

Authors:  John D Murray; Eric T Elwood; Rebecca Barrick; Jack Feng
Journal:  Can J Plast Surg       Date:  2008

3.  Weight versus volume in breast surgery: an observational study.

Authors:  Chetan Parmar; Malcolm West; Samir Pathak; J Nelson; Lee Martin
Journal:  JRSM Short Rep       Date:  2011-11-15

4.  Accuracy of Predicted Resection Weights in Breast Reduction Surgery.

Authors:  Theodore A Kung; Raouf Ahmed; Christine O Kang; Paul S Cederna; Jeffrey H Kozlow
Journal:  Plast Reconstr Surg Glob Open       Date:  2018-06-19

5.  Reduction Mammoplasty: Intraoperative Weight Versus Pathology Weight and Its Implications.

Authors:  Matthew R Zeiderman; Shahrooz Sean Kelishadi; John Paul Tutela; Saeed Chowdhry; Ronald M Brooks; Bradon J Wilhelmi
Journal:  Eplasty       Date:  2017-10-12

6.  Preoperative estimation of breast resection weight in patients undergoing inferior pedicle reduction mammoplasty: the Bilgen formula

Authors:  Fatma Bilgen; Alper Ural; Mehmet Bekerecioğlu
Journal:  Turk J Med Sci       Date:  2020-06-23       Impact factor: 0.973

  6 in total

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