Back to Search
Start Over
Development of a Classification Tree to Predict Implant-Based Reconstruction Failure with or without Postmastectomy Radiation Therapy for Breast Cancer
- Source :
- Annals of Surgical Oncology. 28:1669-1679
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- The aim of this study was to determine the complications, incidence, and predictors of implant-based reconstruction failure (RF) among patients treated with mastectomy for breast cancer. We retrospectively reviewed 108 patients who underwent mastectomy, tissue expander, and implant-based breast reconstruction with or without radiation therapy (RT) at our institution (2000–2014). Descriptive statistics determined complication incidences, with major complications defined as any complications requiring surgical intervention or inpatient management. Chi square and Fisher’s exact tests determined differences in RF incidences, defined as implant loss. Logistic regression analyses identified predictors of RF. Median follow-up was 42.5 months. Sixty patients (55.6%) experienced major complications. Overall, 27 patients (25%) experienced RF. Incidences of RF were significantly increased in patients who had any major complication (43.3% vs. 2.1%; p 70% accuracy for stepwise prediction of RF.
- Subjects :
- medicine.medical_specialty
business.industry
medicine.medical_treatment
Retrospective cohort study
medicine.disease
Surgery
Radiation therapy
03 medical and health sciences
0302 clinical medicine
Breast cancer
Oncology
030220 oncology & carcinogenesis
medicine
030211 gastroenterology & hepatology
Implant
business
Breast reconstruction
Complication
Mastectomy
Tissue expansion
Subjects
Details
- ISSN :
- 15344681 and 10689265
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Annals of Surgical Oncology
- Accession number :
- edsair.doi...........2ee0e041723a1fed29219ee9f84cc67b