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Implant volume estimation in direct-to-implant breast reconstruction after nipple-sparing mastectomy.
Shia, Wei-Chung; Yang, Hui-Ju; Wu, Hwa-Koon; Lin, Shih-Lung; Lai, Hung-Wen; Huang, Yu-Len; Chen, Dar-Ren.
Afiliação
  • Shia WC; Cancer Research Center, Changhua Christian Hospital, Changhua, Taiwan.
  • Yang HJ; Department of Dermatology, Changhua Christian Hospital, Changhua, Taiwan.
  • Wu HK; Department of Medical Imaging, Changhua Christian Hospital, Changhua, Taiwan.
  • Lin SL; Department of Reconstructive, Plastic & Hand Surgery, Changhua Christian Hospital, Changhua, Taiwan.
  • Lai HW; Endoscopic and Oncoplastic Breast Surgery Center, Changhua Christian Hospital, Changhua, Taiwan; School of Medicine, National Yang Ming University, Taipei, Taiwan; Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan.
  • Huang YL; Department of Computer Science, Tunghai University, Taichung, Taiwan.
  • Chen DR; Cancer Research Center, Changhua Christian Hospital, Changhua, Taiwan; Comprehensive Breast Cancer Center, Changhua Christian Hospital, Changhua, Taiwan. Electronic address: darren_chen@cch.org.tw.
J Surg Res ; 231: 290-296, 2018 11.
Article em En | MEDLINE | ID: mdl-30278942
BACKGROUND: Nipple-sparing mastectomy (NSM) is an increasingly popular alternative to more traditional mastectomy approaches. However, estimating the implant volume during direct-to-implant (DTI) reconstruction following NSM is difficult for surgeons with little-to-moderate experience. We aimed to provide a fast, easy to use, and accurate method to aid in the estimation of implant size for DTI reconstruction using the specimen weight and breast volume. METHODS: A retrospective analysis was performed using data from 145 NSM patients with specific implant types. Standard two-dimensional digital mammograms were obtained in 118 of the patients. Breast morphological factors (specimen weight, mammographic breast density and volume, and implant size and type) were recorded. Curve-fitting and linear regression models were used to develop formulas predicting the implant volume, and the prediction performance of the obtained formulas was evaluated using the prospective data set. RESULTS: Two formulas to estimate the implant size were obtained, one using the specimen weight and one using the breast volume. The coefficients of correlation (R2) in these formulas were over 0.98 and the root mean squared errors were approximately 13. CONCLUSIONS: These implant volume estimate formulas benefit surgeons by providing a preoperative implant volume assessment in DTI reconstruction using the breast volume and an intraoperative assessment using the specimen weight. The implant size estimation formulas obtained in the present study may be applied in a majority of patients.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mastectomia Subcutânea / Modelos Estatísticos / Implantes de Mama / Implante Mamário Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mastectomia Subcutânea / Modelos Estatísticos / Implantes de Mama / Implante Mamário Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Female / Humans / Middle aged Idioma: En Ano de publicação: 2018 Tipo de documento: Article