| Literature DB >> 32183080 |
Dalia Rukanskienė1, Vincentas Veikutis2, Eglė Jonaitienė1, Milda Basevičiūtė3, Domantas Kunigiškis3, Renata Paukštaitienė4, Daiva Čepulienė5, Lina Poškienė6, Algirdas Boguševičius5.
Abstract
Background and objectives: With improved diagnostic means of early breast cancer, the percentage of cases with metastasis in axillary lymph nodes has decreased from 50%-75% to 15%-30%. Lymphadenectomy and sentinel lymph node biopsy are not treatment procedures, as they aim at axillary nodal staging in breast cancer. Being surgical interventions, they can lead to various complications. Therefore, recently much attention has been paid to the identification of non-invasive methods for axillary nodal staging. In many countries, ultrasound is a first-line method to evaluate axillary lymph node status. The aim of this study was to evaluate the prognostic value of ultrasound in detecting intact axillary lymph nodes and to assess the accuracy of ultrasound in detecting a heavy nodal disease burden. The additional objective was to evaluate patients' and tumor characteristics leading to false-negative results. Materials andEntities:
Keywords: axillary lymph nodes; breast cancer; lymphadenectomy; sentinel lymph node biopsy; ultrasound
Year: 2020 PMID: 32183080 PMCID: PMC7143354 DOI: 10.3390/medicina56030127
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.430
Figure 1Lymph node with normal appearance: (a) schematic drawing; (b) signs of preoperative axillary ultrasound-negative lymph node (oval shape, smooth cortex, unchanged, clearly visible fat gate); (c) central vascularity.
Figure 2Suspicious lymph node: (a) schematic drawing; (b) signs of PAUS-positive lymph node (oval or rounded shape, local thickening of the cortex, dislocated gate); (c) mixed or peripheral vascularity.
Patients’ demographic and tumor clinicopathological characteristics by node-negative and node-positive groups.
| Parameter | Total | Node-Negative (n = 193) | Node-Positive (n = 34) | |
|---|---|---|---|---|
| Age, mean (SD), years | 59.55 (11.83) | 59.88 (11.93) | 57.65 (11.21) | 0.311 |
| Age categories: | ||||
| Findings on PAUS, n (%): | ||||
| Number of focus, n (%): | ||||
| Histological subtype, n (%): | ||||
| Presence of non-invasive component, n (%): | ||||
| Tumor size, n (%): | ||||
| Tumor grade, n (%): | ||||
| Lymphovascular invasion, n (%): | ||||
| HR status, n (%): | ||||
| PR negative | 48 | 41 (85.4) | 7 (14.6) | 0.568 |
| HER2 status, n (%): |
Categorical data were compared with the chi-square test; continuous data, with the Student t test. PAUS, preoperative axillary ultrasound; LV, lymphovascular invasion; HR, hormone receptor; ER, estrogen receptor; PR, progesterone receptor; HER2, human epidermal growth factor receptor 2.
Figure 3Flowchart of involvement of axillary lymph nodes in 227 patients. PAUS, preoperative axillary ultrasound; SLN, sentinel lymph node; LMND, lymphadenectomy.
Figure 4Flowchart of preoperative axillary ultrasound and histological examination findings in 227 patients. PAUS, preoperative axillary ultrasound.
Diagnostic discrimination of PAUS in patients with a limited nodal burden and a heavy nodal burden.
| PAUS | Prevalence% | Accuracy | Sensitivity | Specificity | Positive Predictive Value | Negative Predictive Value |
|---|---|---|---|---|---|---|
| Total | 15.0 | 84.1 | 52.9 | 89.6 | 47.4 | 91.5 |
| ≥3 node+ | 5.4 | 88.7 | 72.7 | 89.6 | 28.6 | 98.3 |
Data of several studies: associations between clinicopathological factors and false-negative rate of PAUS.
| Author | PAUS-Negative | False-Negative Rate | Feature, |
|---|---|---|---|
| Johnson et al., 2011 | N = 155 | 29% (overall) | Size of tumor ( |
| Stachs et al., 2013 | N = 378 | 18.5% (overall) | Tumor size ( |
| Meretoja et al., 2014 | – | – | Tumor size ( |
| Nwaogu et al., 2015 | N = 118 | 21% (overall) | Tumor size ( |
| Jackson et al., 2015 | N = 400 | 14% (overall) | Tumor size ( |
| Artmoniene et al., 2019 | N = 581 | 18.7% | Tumor size ( |
| Current study | N = 189 | 8.5% (overall) | Lymphovascular invasion ( |