Breast cancer: introduction

BMI Specific Complications Following Implant-Based Breast Reconstruction after Mastectomy

Background: Breast reconstruction has a positive impact on body image and quality of life for women after experiencing the physically and psychologically demanding process of mastectomy. Previous studies have presented body mass index (BMI) as a predictor for postoperative complications after breast reconstruction, however, study results vary. This retrospective study aimed to investigate the impact of patients’ BMI on postoperative complications following implant-based breast reconstruction. Methods: All implant-based breast reconstructions performed at the Department of Plastic, Reconstructive and Aesthetic Surgery at the Medical University of Vienna from January 2001 to March 2018 were evaluated. A total of 196 reconstructed breasts among 134 patients met eligibility criteria. Demographic data, surgical techniques, as well as major and minor complications within a one-year follow-up period were analyzed. Results: Patients’ BMI did not show a significant impact on complication rates. The overall incidence of postoperative complications was 30.5% (40/131) of which 17.6% required reoperation. Impaired wound healing (18.3%), seroma (6.1%), hematoma (4.6%), capsular contraction (4.6%) and infection (3.8%) were the most common complications. Conclusion: In our study cohort, BMI was not associated with a significantly higher risk of complications. However, postoperative complications significantly increased with a longer operative time and resulted in an extended length of hospital stay.

Study on association between shear wave elastography parameters and clinicopathological characteristics in breast cancer: A protocol for systematic review

BACKGROUND

This study aims to explore the association between shear wave elastography parameters (SWEPs) and clinicopathological characteristics (CPCs) in breast cancer (BC).

METHODS

The electronic databases of Cochrane Library, MEDLINE, EMBASE, Allied and Complementary Medicine Database, WANGFANG, VIP, and China National Knowledge Infrastructure will be used to search for studies dated from database inception to the present. No limitations of language and publication status will be applied in this study. Only case-controlled study and randomized controlled trials investigating the association between SWEP and CPC in BC will be included. Cochrane risk of bias will be used to assess study quality for each included study. RevMan 5.3 software will be utilized for statistical analysis.

RESULTS

This study will provide accurate data to appraise the association between SWEP and CPC in BC.

CONCLUSION

This study will summarize the most recent evidence to improve our understanding of the association between SWEP and CPC in BC. OSF REGISTRATION NUMBER:: osf.io/vmkwu.