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Evaluation of Outcome After Immediate Breast Reconstruction: Prospective Comparison of Four Methods

2005; Lippincott Williams & Wilkins; Volume: 115; Issue: 7 Linguagem: Inglês

10.1097/01.prs.0000165081.54107.b9

1529-4242

Gerald Gui, Geeta Kadayaprath, Su-Ming Tan, Eleni C. Faliakou, Christina Choy, Roger A Hern, Ann Ward,

Cancer survivorship and care

Little is known about the association among different methods to assess outcome following breast reconstruction. The aim of this study was to comprehensively compare four distinct methods of outcome evaluation following immediate breast reconstruction.There were 102 women who were prospectively evaluated: 46 patients had submuscular implants, and 56 patients had implant-assisted latissimus dorsi breast reconstruction. The mean patient age at the time of operation was 46 years (range, 22 to 72 years), with a mean follow-up of 18 months (range, 12 to 24 months). All patients were evaluated using geometric measurements, photographs, linear analogue scores, and a quality-of-life questionnaire. The Wilcoxon signed rank test, Spearman's correlation, and factor analysis statistics were used.Transverse breast width, vertical breast height, sternal notch-nipple, midclavicular line-nipple, nipple-inframammary crease, midline-nipple, internipple, and intermammary measurements were reproducible and reliable. Median differences of absolute vertical and horizontal differences were less than 1 cm and were associated with high levels of patient satisfaction. Assessors asked to score photographs without being specifically requested to consider shape, cleavage, or symmetry would focus mainly on vertical and horizontal differences. There was a high correlation between surgeon and patient linear analogue scores. Quality-of-life questionnaires provide valuable information on body image, physical effects, and continued cancer worry. Factor analyses failed to identify components to compress data fields to obtain equivalent information from fewer questions.Evaluation of immediate breast reconstruction is complex. Cumbersome data collection has to be balanced against practical variables that individual units can collect to evaluate outcome for audit and research.