Surgical Delay of Thoracodorsal Artery Perforator Flaps for Bilateral Autologous Breast Reconstruction [PDF]
, 2023 Summary; Autologous reconstruction accounts for nearly one-quarter of all breast reconstruction cases in the United States, with the abdomen functioning as the most popular donor site.
Allen, Robert J. +3 more
core +2 more sources
Deep-learning-based Breast CT for Radiation Dose Reduction [PDF]
, 2019 Cone-beam breast computed tomography (CT) provides true 3D breast images with isotropic resolution and high-contrast information, detecting calcifications as small as a few hundred microns and revealing subtle tissue differences. However, breast is highly sensitive to x-ray radiation.
arxiv +1 more source
A multi-reconstruction study of breast density estimation using Deep Learning [PDF]
arXiv, 2022 Breast density estimation is one of the key tasks in recognizing individuals predisposed to breast cancer. It is often challenging because of low contrast and fluctuations in mammograms' fatty tissue background. Most of the time, the breast density is estimated manually where a radiologist assigns one of the four density categories decided by the ...
arxiv
Incidence of surgical site infection following mastectomy with and without immediate reconstruction using private insurer claims data [PDF]
, 2015 OBJECTIVE: The National Healthcare Safety Network classifies breast operations as clean procedures with an expected 1–2% surgical site infection (SSI) incidence.
Ball, Kelly E +7 more
core +2 more sources
Angewandte Chemie, Volume 134, Issue 51, December 19, 2022., 2022 Benzoxazolinate is a rare bis‐heterocyclic moiety that interacts with proteins and DNA. It was found that a putative acyl AMP‐ligase mediates the last cyclization step to afford benzoxazolinate. The enzyme was then used as a probe for genome mining, which led to the discovery of a new class of benzoxazolinate‐containing compounds in diverse bacteria ...
Yi‐Ming Shi +12 more
wiley +2 more sources
Aspects of Immediate and Delayed Alloplastic Breast Reconstruction After Mastectomy [PDF]
, 2017 Seventy percent of patients with early breast cancer can be treated by breast-conserving surgery, while the remaining 30% are forced to receive mastectomy. Nearly 30% of these patients choose breast reconstruction.
Friedrich, Michael, Kraemer, Stefan
core +1 more source
Nonrigid reconstruction of 3D breast surfaces with a low-cost RGBD camera for surgical planning and aesthetic evaluation [PDF]
Medical Image Analysis, Volume 53, April 2019, pp. 11-25, 2019 Accounting for 26% of all new cancer cases worldwide, breast cancer remains the most common form of cancer in women. Although early breast cancer has a favourable long-term prognosis, roughly a third of patients suffer from a suboptimal aesthetic outcome despite breast conserving cancer treatment.
arxiv +1 more source
Complication prevalence following use of tutoplast-derived human acellular dermal matrix in prosthetic breast reconstruction: A retrospective review of 203 patients [PDF]
, 2014 SummaryUse of human acellular dermal matrix (ADM) during prosthetic breast reconstruction has increased. Several ADM products are available produced by differing manufacturing techniques. It is not known if outcomes vary with different products.
Beck, R.T. +6 more
core +1 more source
Breast cancer detection using deep learning [PDF]
arXiv, 2023 Objective: This paper proposes a deep learning model for breast cancer detection from reconstructed images of microwave imaging scan data and aims to improve the accuracy and efficiency of breast tumor detection, which could have a significant impact on breast cancer diagnosis and treatment.
arxiv
BIRADS Features-Oriented Semi-supervised Deep Learning for Breast Ultrasound Computer-Aided Diagnosis [PDF]
2020 Physics in Medicine & Biology, 2019 Breast ultrasound (US) is an effective imaging modality for breast cancer detection and diagnosis. US computer-aided diagnosis (CAD) systems have been developed for decades and have employed either conventional hand-crafted features or modern automatic deep-learned features, the former relying on clinical experience and the latter demanding large ...
arxiv +1 more source