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Correlation analysis of resected breast tissue and implant volume after mastectomy and its association with breast density.
Malter, Wolfram; Bachmann, Bo Jan; Krug, Barbara; Hellmich, Martin; Zinser, Max; Mallmann, Peter; Eichler, Christian; Puppe, Julian.
Affiliation
  • Malter W; Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany. wolfram.malter@uk-koeln.de.
  • Bachmann BJ; Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
  • Krug B; Department for Diagnostic and Interventional Radiology¸ Medical Faculty, University of Cologne, Cologne, Germany.
  • Hellmich M; Institute of Medical Statistics and Computational Biology, Medical Faculty, University of Cologne, Cologne, Germany.
  • Zinser M; Department for Plastic and Reconstructive Surgery, Medical Faculty, University of Cologne, Cologne, Germany.
  • Mallmann P; Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
  • Eichler C; Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
  • Puppe J; Department of Gynecology and Obstetrics, Medical Faculty, University of Cologne, Cologne, Germany.
Arch Gynecol Obstet ; 305(1): 169-177, 2022 01.
Article in En | MEDLINE | ID: mdl-34189629
BACKGROUND: The current methods for calculating the ideal implant volume for breast reconstruction are based on pre- or intraoperative volume measurements of the existing breast volume and do not take into account the individual breast density of the woman. This study aims is to identify objective parameters that can help to improve the optimal implant selection. MATERIALS AND METHODS: This retrospective analysis includes 198 breast cancer patients who underwent mastectomy. Breast densities (ACR) measured in mammography and MRI were compared with the removed breast tissue weight and volume of the implants used. In addition, the resected weight was compared directly with the implant volume to calculate a mathematical function. RESULTS: There was no significant correlation between the ACR values and the resected weights [correlation coefficient: mammography:- 0.117 (p = 0.176), MRI - 0.033 (p = 0.756)]. A negative correlation between the implant volumes and both imaging methods could be demonstrated [correlation coefficient: mammography - 0.268; p = 0.002; MRI was - 0.200 (p = 0.055)]. A highly significant correlation between the resected weights and the implant volumes (correlation coefficient 0.744; p < 0.001) was observed. This correlation corresponds to a power function (y = 34.71 x0.39), in which any resected weight can be used for the variable x to calculate the implant volume. CONCLUSION: We were able to show that there is a significant correlation between the resected breast tissue and the implant volume. With our novel potency function, the appropriate implant volume can be calculated for any resected weight making it easier for the surgeon to choose a fitting implant in a simple and more objective manner.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Mammaplasty / Breast Implants Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Arch Gynecol Obstet Journal subject: GINECOLOGIA / OBSTETRICIA Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Mammaplasty / Breast Implants Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Arch Gynecol Obstet Journal subject: GINECOLOGIA / OBSTETRICIA Year: 2022 Document type: Article Affiliation country: Country of publication: