The prediction of breast reduction weight.
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.
Sommer
Nicole Z
NZ
Department of Plastic Surgery, Southern Illinois University School of Medicine, Sprinfield, 62794, USA.
Zook
Elvin G
EG
Verhulst
Steven J
SJ
D000328:Adult; D000886:Anthropometry; D001835:Body Weight; D001940:Breast / Q000473:pathology; D005260:Female; D006801:Humans; D007349:Insurance, Health, Reimbursement; D016462:Mammaplasty / Q000191:economics; D009929:Organ Size; D012189:Retrospective Studies; D012680:Sensitivity and Specificity