Evolution and time trends of nipple-sparing mastectomy: a single-center experience.
Erika BarbieriFederico FrusoneAlberto BottiniAndrea SagonaWolfgang GatzemeierGiuseppe CanaveseChiara Annunziata Pasqualina AngheloneAlessandro De LucaEmilia MarrazzoMaria Ida AmabileCorrado TinterriPublished in: Updates in surgery (2020)
Nipple Sparing Mastectomy (NSM) requires the entire breast tissue to be removed, maintaining the nipple-areola complex, and represents nowadays the gold standard of the demolitive breast surgery. Although it represents the evolution of conservative breast surgery, NSM presents some limitations in the selection of women candidates for treatment, and still there are no real guidelines regarding its indications, but simply objective data to address the choice. How the breast surgery approach to demolitive and conservative surgery has changed over time? We evaluated throughout the years (from 2009 up to 2018) the time trend of NSM at our institution and analysed the main differences between patients undergone NSM and other mastectomies and/or breast conserving surgery in terms of cancer size, multicentricity and biological profile. We found 781 NSMs, 1261 other mastectomies and 5621 breast conservative surgeries. Among NSMs, 39.6% were reconstructed with tissue expander and 58.1% with definitive prosthesis. From 2009 to 2018 we found a general increase of NSM rate (from 21.3% of all mastectomies in 2009 to 67.3% in 2018) and a decrease of total mastectomies (from 78.7% of all mastectomies in 2009 to 32.7% in 2018). In line with the literature data, our data confirm that in the recent years NSM represents the gold standard for radical breast surgery. Undisputed in prophylaxis, NSM is continuously acquiring more support in being used as first line treatment for locally advanced disease.
Keyphrases
- minimally invasive
- coronary artery bypass
- surgical site infection
- breast reconstruction
- electronic health record
- robot assisted
- pregnant women
- big data
- squamous cell carcinoma
- end stage renal disease
- newly diagnosed
- machine learning
- acute coronary syndrome
- coronary artery disease
- adipose tissue
- radiation therapy
- young adults
- insulin resistance