Future Directions in the Assessment of Axillary Lymph Nodes in Patients with Breast Cancer

被引:6
|
作者
Pesapane, Filippo [1 ]
Mariano, Luciano [2 ]
Magnoni, Francesca [3 ,4 ]
Rotili, Anna [1 ]
Pupo, Davide [5 ]
Nicosia, Luca [1 ]
Bozzini, Anna Carla [1 ]
Penco, Silvia [1 ]
Latronico, Antuono [1 ]
Pizzamiglio, Maria [1 ]
Corso, Giovanni [3 ,4 ,6 ]
Cassano, Enrico [1 ]
机构
[1] IEO European Inst Oncol IRCCS, Breast Imaging Div, I-20141 Milan, Italy
[2] AOU Citta Sci & Salute Torino, Breast Imaging Div, I-10126 Turin, Italy
[3] IEO European Inst Oncol IRCCS, Div Breast Surg, I-20141 Milan, Italy
[4] European Canc Prevent Org ECP, I-20122 Milan, Italy
[5] Univ Campania Luigi Vanvitelli, Dept Precis Med, Radiol Div, I-80138 Naples, Italy
[6] Univ Milan, Dept Oncol & Hemato oncol, I-20122 Milan, Italy
来源
MEDICINA-LITHUANIA | 2023年 / 59卷 / 09期
关键词
lymph nodes; breast cancer; radiology; surgery; cancer; oncology; SOUND SENTINEL NODE; NEEDLE-BIOPSY; DISSECTION; METASTASIS; MANAGEMENT; SELECTION; ONCOLOGY; WOMEN; TRIAL;
D O I
10.3390/medicina59091544
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background and Objectives: Breast cancer (BC) is a leading cause of morbidity and mortality worldwide, and accurate assessment of axillary lymph nodes (ALNs) is crucial for patient management and outcomes. We aim to summarize the current state of ALN assessment techniques in BC and provide insights into future directions. Materials and Methods: This review discusses various imaging techniques used for ALN evaluation, including ultrasound, computed tomography, magnetic resonance imaging, and positron emission tomography. It highlights advancements in these techniques and their potential to improve diagnostic accuracy. The review also examines landmark clinical trials that have influenced axillary management, such as the Z0011 trial and the IBCSG 23-01 trial. The role of artificial intelligence (AI), specifically deep learning algorithms, in improving ALN assessment is examined. Results: The review outlines the key findings of these trials, which demonstrated the feasibility of avoiding axillary lymph node dissection (ALND) in certain patient populations with low sentinel lymph node (SLN) burden. It also discusses ongoing trials, including the SOUND trial, which investigates the use of axillary ultrasound to identify patients who can safely avoid sentinel lymph node biopsy (SLNB). Furthermore, the potential of emerging techniques and the integration of AI in enhancing ALN assessment accuracy are presented. Conclusions: The review concludes that advancements in ALN assessment techniques have the potential to improve patient outcomes by reducing surgical complications while maintaining accurate disease staging. However, challenges such as standardization of imaging protocols and interpretation criteria need to be addressed. Future research should focus on large-scale clinical trials to validate emerging techniques and establish their efficacy and cost-effectiveness. Over-all, this review provides valuable insights into the current status and future directions of ALN assessment in BC, highlighting opportunities for improving patient care.
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页数:13
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