The "Mastotrainer" was introduced as a new concept of simulators for use in surgical training. Simulators of this type are critical as the use of cadavers is limited or prohibited in some countries. The Mastotrainer has proved very useful in training various surgical techniques, with the first version of the simulator being focused on breast augmentation and reconstruction following mastectomy. This current project explores use of a new version of the surgical simulator that can facilitate a broader spectrum of procedures in the training of breast surgeons as well as plastic and reconstructive surgeons in order to achieve better outcomes. With this new version of the mastotrainer, larger and ptotic breasts provides hands-on training for preoperative markings, various mammaplasty techniques, including breast conserving surgery, reconstructive lumpectomy and oncoplastic procedures. It is valuable for training oncologic, aesthetic and/or reconstructive breast surgeries.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.breast.2016.08.009 | DOI Listing |
Med Biol Eng Comput
January 2025
Artificial Intelligence Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India.
The generalization of deep learning (DL) models is critical for accurate lesion segmentation in breast ultrasound (BUS) images. Traditional DL models often struggle to generalize well due to the high frequency and scale variations inherent in BUS images. Moreover, conventional loss functions used in these models frequently result in imbalanced optimization, either prioritizing region overlap or boundary accuracy, which leads to suboptimal segmentation performance.
View Article and Find Full Text PDFJ Oncol Pharm Pract
January 2025
Department of Pharmaceutical Chemistry, Manipal College of Pharmaceutical Sciences, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Introduction: The utilization of CDK4/6 inhibitors has led to compromised survival rates for breast cancer patients. Consequently, certain treatment aspects, involving adherence and drug-to-drug interactions, are gaining prominence. To develop chemotherapy regimens that are both effective and efficient, our main objective was to thoroughly characterize the drug-drug interactions that occur between cyclin-dependent kinase inhibitors and concurrently prescribed medications in hospitalized breast cancer patients.
View Article and Find Full Text PDFAdv Healthc Mater
January 2025
School of Chemistry and Chemical Engineering, Frontiers Science Center for Transformative Molecules, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, P.R. China.
Engineered modifications of nanomaterials inspired by nature hold great promise for disease-specific imaging and therapies. However, conventional polyethylene glycol modification is limited by immune system rejection. The manipulation of gold nanorods (Au NRs) modified by endogenous proteins (eP@Au) is reported as an engineered biomodulator for enhanced breast tumor therapy.
View Article and Find Full Text PDFFront Artif Intell
January 2025
National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
The rapid advancement of artificial intelligence (AI) has introduced transformative opportunities in oncology, enhancing the precision and efficiency of tumor diagnosis and treatment. This review examines recent advancements in AI applications across tumor imaging diagnostics, pathological analysis, and treatment optimization, with a particular focus on breast cancer, lung cancer, and liver cancer. By synthesizing findings from peer-reviewed studies published over the past decade, this paper analyzes the role of AI in enhancing diagnostic accuracy, streamlining therapeutic decision-making, and personalizing treatment strategies.
View Article and Find Full Text PDFJ Adv Nurs
January 2025
President Office, Tung Wah College, Hong Kong SAR, People's Republic of China.
Aims: To synthesise evidence on decision regret about treatment amongst women with early breast cancer, including (1) the type of treatment related to decision regret, (2) the level of decision regret, and (3) factors associated with decision regret.
Design: Integrative review.
Methods: Studies published between January 2000 and December 2023 were searched from five online databases to provide up-to-date evidence.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!