Background: Sentinel lymph node biopsy (SNB)-oriented stepwise treatment under local anesthesia has been performed in the outpatient-ambulatory setting in patients receiving neoadjuvant therapy (NAT). We retrospectively reviewed our preliminary experience of ambulatory SNB in breast cancer patients scheduled to undergo NAT to evaluate the usefulness and feasibility of this method as a minimally invasive, stepwise treatment protocol.
Methods: We retrospectively identified 56 patients with breast cancer without obvious nodal involvement who were scheduled to receive NAT before breast surgery. SNB was performed under local anesthesia in an ambulatory outpatient setting before the initiation of NAT.
Results: The average number of removed sentinel lymph nodes was 1.9. Identification of the sentinel node was possible in all cases, and macrometastasis was observed in six cases (10.7%). Micrometastasis was observed in five cases, while isolated tumor cells were noted in six cases. There were no delays in the initiation of NAT as a result of complications of SNB.
Conclusions: This pilot study demonstrated the safety and feasibility of ambulatory SNB prior to NAT. Further studies are warranted to assess the strict indications, patient satisfaction, and medical economics of this procedure.
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http://dx.doi.org/10.1186/s12957-015-0471-3 | DOI Listing |
Vaccines (Basel)
January 2025
Laboratory of Immunopathology, Butantan Institute, São Paulo 05585-000, Brazil.
: Cationic polymers were shown to assemble with negatively charged proteins yielding nanoparticles (NPs). Poly-diallyl-dimethyl-ammonium chloride (PDDA) combined with ovalbumin (OVA) yielded a stable colloidal dispersion (OVA/PDDA-NPs) eliciting significant anti-OVA immune response. Dendritic cells (DCs), as sentinels of foreign antigens, exert a crucial role in the antigen-specific immune response.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Ultrasound, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen 518020, Guangdong, China (G.L., S.T., Z.H., M.W., S.M., J.X., F.D.); Department of Ultrasound, The First Affiliated Hospital, Southern University of Science and Technology (Shenzhen People's Hospital), Shenzhen 518020, Guangdong, China (H.T., H.W., J.X., F.D.). Electronic address:
Rationale And Objectives: Preoperative assessment of axillary lymph node (ALN) status is essential for breast cancer management. This study explores the use of photoacoustic (PA) imaging combined with attention-guided deep learning (DL) for precise prediction of ALN status.
Materials And Methods: This retrospective study included patients with histologically confirmed early-stage breast cancer from 2022 to 2024, randomly divided (8:2) into training and test cohorts.
J Am Coll Surg
January 2025
The Hiram C. Polk Jr., MD Department of Surgery, University of Louisville, Louisville, KY.
Background: The definition of T1b cutaneous melanoma was changed in the 8th edition of the AJCC staging system based on survival differences but not risk of sentinel lymph node (SLN) metastases. We sought to evaluate changes in SLN biopsy (SLNB) use and rates of positive SLNB in response to updated staging criteria, and to evaluate the incidence of high-risk features in T1a melanoma in whom SLNB is now recommended.
Study Design: The 2021 National Cancer Database Melanoma PUF was used to obtain SLNB utilization and positivity rates in T1 (thin) melanoma (thickness ≤1.
Ann Surg Oncol
January 2025
Magnetic Detection and Imaging Group, Technical Medical Centre, University of Twente, Enschede, The Netherlands.
JAMA Netw Open
January 2025
Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Importance: Secondary lymphedema is a common, harmful side effect of breast cancer treatment. Robust risk models that are externally validated are needed to facilitate clinical translation. A published risk model used 5 accessible clinical factors to predict the development of breast cancer-related lymphedema; this model included a patient's mammographic breast density as a novel predictive factor.
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