scholarly journals A Novel Method of Implant Coverage for Post-Mastectomy Reconstruction after Previous Augmentation: A Case Report

Breast Care ◽  
2020 ◽  
Vol 15 (5) ◽  
pp. 534-537
Author(s):  
Elisabetta Maria Cristina Rossi ◽  
Alessandra Invento ◽  
Marco Iera ◽  
Virgilio Sacchini ◽  
Paolo Veronesi ◽  
...  

Background: Breast augmentation is the most common ­cosmetic surgical procedure in the USA, with nearly 300,000 women undergoing surgery annually. National incidence rates predict that among women undergoing breast augmentation each year, approximately 35,000 will eventually be diagnosed with breast cancer, in particular individual BRCA1/2 germline mutant carriers. Case Report: Our case introduces a novel method of implant coverage after immediate post-mastectomy reconstruction in augmented patients. A novel “capsular flap” (flap of the pre-existing old capsule) is isolated and refolded to cover the outer lower portion of the implant. Conclusion: Tailored surgical approaches can be offered to those patients previously augmented and requiring mastectomy after breast cancer diagnosis.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e13081-e13081
Author(s):  
Rutika Jitesh Mehta ◽  
Adrienne Groman ◽  
Rohit K. Jain ◽  
Ellis Glenn Levine

e13081 Background: Synchronous breast cancers are uncommon and account for around 2% of all breast cancer diagnosis. Lobular histology is considered a risk factor for synchronous breast cancers. We sought to study the trends in synchronous breast cancer of ductal histology and influence of age by interrogating the SEER database. Methods: The SEER Research data 1973-2013 was interrogated for synchronous infiltrating ductal carcinoma diagnosis (2 diagnosis within 6 months of each other). Overall survival (OS), the primary endpoint, was defined as the time (in months) from diagnosis to death from any cause. Univariate proportional hazards modeling results were used to assess the effect of age, race and stage on overall survival. All associations were considered statistically significant at an alpha error < 0.01. All analyses were performed using SAS version 9.4. Results: 1469 cases were identified. Data was categorized by age group: ≤ 65 years or > 65 years. 60% were 65 years or younger. 85% were Caucasians, 9.6% African Americans and 5.2% others. Younger women (≤ 65 years) had a statistically higher proportion of Stage III/IV breast cancer diagnosis as compared to older women (33.4% vs 25.2%; p = 0.002). The incidence rate of synchronous breast cancers has been rising since 1973, more pronounced in the older age group. Incidence rates overall have risen from 0.09/100,000 persons in 1973-1980 to 0.29/100,000 persons in 2001-2013 (p < 0.001). Incidence rates for synchronous breast cancer in women > 65 years has increased from 0.30/100,000 persons in 1973-1980 to 1.03/100,000 persons in 2001-2013. The adjusted OS among older women is significantly worse than that of younger women (HR 1.05; 95% CI 1.04-1.05; p < 0.001). Conclusions: Better imaging techniques and breast cancer screening guidelines have likely improved breast cancer detection rates thus leading to a rise in the incidence of synchronous breast cancers. It can be speculated that underlying medical problems and advanced age result in more morbidity and subsequent mortality in older women with standard treatment. The finding of more advanced disease among younger women deserves scrutiny as to cause.


Author(s):  
Dmitry Klyushin ◽  
Natalia Boroday ◽  
Kateryna Golubeva ◽  
Maryna Prysiazhna ◽  
Maksym Shlykov

The chapter is devoted to description of a novel method of breast cancer diagnostics based on the analysis of the distribution of the DNA concentration in interphase nuclei of epitheliocytes of buccal epithelium with the aid of novel algorithms of statistical machine learning, namely: novel proximity measure between multivariate samples, novel algorithm of construction of tolerance ellipsoids, novel statistical depth and novel method of multivariate ordering. In contrast to common methods of diagnostics used in oncology, this method is a non-invasive and offers a high rate of accuracy and sensitivity.


2012 ◽  
Vol 198-199 ◽  
pp. 468-473 ◽  
Author(s):  
Ying Hua Lv ◽  
Yu Ting Guo ◽  
Hui Sun ◽  
Ming Zhang ◽  
Jian Zhong Wang

This paper proposes a novel method for breast cancer diagnosis using the features generated by genetic programming (GP). We developed a new individual combination pattern (Composite individual genetic programming) which regards several individual as one unity to generate more powerful features that can improve the discriminatory performance of a classifier and reducing the input feature dimensionality at the same time. The performance of the proposed method is demonstrated by extensive experiments on MIAS and DDSM mammographic image database.


2022 ◽  
Vol 18 (1) ◽  
pp. 91-93
Author(s):  
Florence Vibert ◽  
Camille Martel ◽  
Raluca Andreea Ionescu ◽  
Carole Mathelin ◽  
Shanti Ame

2010 ◽  
Author(s):  
Susan Sharp ◽  
Ashleigh Golden ◽  
Cheryl Koopman ◽  
Eric Neri ◽  
David Spiegel

2019 ◽  
Vol 3 (48) ◽  
pp. 7
Author(s):  
Alina Oana Rusu-Moldovan ◽  
Maria Iuliana Gruia ◽  
Dan Mihu

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