Introduction: Sentinel Lymph Node Biopsy (SLNB) is the standard of care for staging axillary lymph nodes in women with breast cancer and clinically negative nodes. It is associated with reduced arm morbidity, moderated or severe lymphoedema, and a better quality of life in comparison with standard axillary treatment. Unfortunately, skip metastases makes all minimally invasive approaches, such as axillary sampling, unreliable. The aim of the present clinical prospective study is to evaluate the position of SLN in an important number of cases and establish the real incidence of skip metastases in clinically node-negative patients.
Patients And Methods: A cohort of 898 female patients with breast carcinoma was considered, from 2001 to 2008. Once SLN was localized, by means of radio-colloid or blue dye staining, and isolated, a biopsy was performed. Only those positive for metastases were submitted to axillary dissection.
Results: Only in nine cases a SLN was not isolated. We had 819 cases of first level SLN (group A) and 69 cases of second level SLN (group B). Considering all of 889 cases, SLN was localized in the second level in 69 patients (7.8%); but if we consider metastatic SLN alone (340 cases), it was in the second level in 23 subjects (6.8%). In total, we had a positive second level SLN in 2.3% of cases (23/889).
Conclusion: Second level SLN could be considered only an anomalous lymphatic axillary drainage and it does not linked to particular histological variants of the primitive tumour. In our study, skip metastases were recognized in only 2.6% of cases, therefore, whenever a SLN is not isolated for any reason, the first level sampling represent a viable operative choice.
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http://dx.doi.org/10.1016/j.ijsu.2014.05.020 | DOI Listing |
JMIR Res Protoc
January 2025
Université de Sherbrooke, Sherbrooke, QC, Canada.
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January 2025
Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.
This study examines whether the detrimental effects of the COVID-19 pandemic on the affectivity of the population extend one year after the outbreak. In an online-mobile session, participants completed surveys (i.e.
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January 2025
School of Statistics and Mathematics, Yunnan University of Finance and Economics, Kunming, Yunnan, China.
With the popularity of circular economy around the world, transactions in the second-hand sailboat market are extremely active. Determining pricing strategies and exploring their regional effects is a blank area of existing research and has important practical and statistical significance. Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data.
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January 2025
Department of Laboratory, The Second Hospital of Shanxi Medical University, Taiyuan, Shanxi, P.R. China.
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January 2025
Faculty of Science and Technology, University of Canberra, Canberra, ACT, Australia.
We explore the efficacy of multimodal behavioral cues for explainable prediction of personality and interview-specific traits. We utilize elementary head-motion units named kinemes, atomic facial movements termed action units and speech features to estimate these human-centered traits. Empirical results confirm that kinemes and action units enable discovery of multiple trait-specific behaviors while also enabling explainability in support of the predictions.
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