Predictors of tumour involvement in remaining axillary lymph nodes of breast cancer patients with positive sentinel lymph node

2006 ◽  
Vol 32 (1) ◽  
pp. 29-33 ◽  
Author(s):  
N. Wada ◽  
S. Imoto ◽  
C. Yamauchi ◽  
T. Hasebe ◽  
A. Ochiai
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Positive Sentinel Lymph Node ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients

scholarly journals Predictors of positive axillary lymph nodes in breast cancer patients with metastatic sentinel lymph node

2005 ◽  
Vol 7 (S1) ◽  
Author(s):  
IP Callejo ◽  
J Brito ◽  
R Alves ◽  
P Dias ◽  
M Limbert ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients

Predictors of positive axillary lymph nodes in breast cancer patients with metastatic sentinel lymph node

2005 ◽  
Vol 7 (1) ◽  
pp. 18-22 ◽  
Author(s):  
Isabel Peixoto Callejo ◽  
José Américo Brito ◽  
José Wheinholtz Bivar ◽  
Fernando Jesus Fernandes ◽  
João Leal Faria ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients

Simultaneous Immunohistochemical Detection of Tumor Cells in Lymph Nodes and Bone Marrow Aspirates in Breast Cancer and Its Correlation With Other Prognostic Factors

2001 ◽  
Vol 19 (4) ◽  
pp. 960-971 ◽  
Author(s):  
Bernd Gerber ◽  
Annette Krause ◽  
Heiner Müller ◽  
Dagmar Richter ◽  
Toralf Reimer ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Bone Marrow ◽  
Prognostic Factors ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Tumor Cells ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients

PURPOSE: We studied the prognostic and predictive value of immunohistochemically detected occult tumor cells (OTCs) in lymph nodes and bone marrow aspirates obtained from node-negative breast cancer patients. All were classified as distant metastases-free using conventional staging methods. PATIENTS AND METHODS: A total of 484 patients with pT1-2N0M0 breast cancer and 70 with pT1-2N1M0 breast cancer and a single affected lymph node participated in our trial. Ipsilateral axillary lymph nodes and intraoperatively aspirated bone marrow were examined. All samples were examined for OTCs using monoclonal antibodies to cytokeratins 8, 18, 19. Immunohistological findings were correlated with other prognostic factors. The mean follow-up was 54 ± 24 months. RESULTS: OTCs were detected in 180 (37.2%) of 484 pT1-2N0M0 patients: in the bone marrow of 126 patients (26.0%), in the lymph nodes of 31 patients (6.4%), and in bone marrow and lymph nodes of 23 (4.8%) patients. Of the 70 patients with pT1-2N1MO breast cancer and a single involved lymph node, OTCs were identified in the bone marrow of 26 (37.1%). The ability to detect tumor cells increased with the following tumor features: larger size, poor differentiation, and higher proliferation. Tumors of patients with OTCs more frequently demonstrated lymph node invasion, blood vessel invasion, higher urokinase-type plasminogen activator levels, and increased PAI-1 concentrations. Patients with detected OTCs showed reduced disease-free survival (DFS) and overall survival (OAS) rates that were comparable to those observed in patients who had one positive lymph node. Multivariate analysis of prognostic factors revealed that OTCs, histological grading, and tumor size are significant predictors of DFS; OTCs and grading of OAS. CONCLUSION: OTCs detected by simultaneous immunohistochemical analysis of axillary lymph nodes and bone marrow demonstrate independent metastatic pathways. Although OTCs were significantly more frequent in patients with other unfavorable prognostic factors, they were confirmed as an independent prognostic factor for pT1-2N0M0, R0 breast cancer patients.

Adding carbon nanoparticles to dual-tracers for the sentinel node evaluation after neoadjuvant chemotherapy in patients with pretreatment node-positive breast cancers: The TT-SLNB trial.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 566-566
Author(s):  
Jie Chen ◽  
Jiqiao Yang ◽  
Tao He ◽  
Yunhao Wu ◽  
Xian Jiang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Neoadjuvant Chemotherapy ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Carbon Nanoparticles ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancers ◽  
Breast Cancer Patients

566 Background: This study measures the feasibility and accuracy of sentinel lymph node biopsy (SLNB) with triple-tracers (TT-SLNB) which combines carbon nanoparticles (CNS) with dual tracers of radioisotope and blue dye, hoping to achieve an optimized method of SLNB after neoadjuvant chemotherapy (NAC) in ycN0 breast cancer patients with pretreatment positive axillary lymph nodes. Methods: Clinically node-negative invasive breast cancer patients with pre-NAC positive axillary lymph nodes who received surgeries from November 2020 to January 2021 were included. CNS was injected at the peritumoral site the day before surgery. Standard dual-tracer (SD)-SLNs were defined as blue-colored and/or hot nodes, and TT-SLNs were defined as lymph nodes detected by any of hot, blue-stained, black-stained, and/or palpated SLNs. All patients received subsequent axillary lymph node dissection. Detection rate (DR), false-negative rate (FNR), negative predictive value (NPV) and accuracy of SLNB were calculated. Results: Seventy-six of 121 (62.8%) breast cancer patients converted to cN0 after NAC and received TT-SLNB. After NAC, 28.95% (22/76) achieved overall (breast and axilla) pCR. The DR was 94.74% (72/76), 88.16% (67/76) and 96.05% (73/76) for SLNB with single-tracer of CNS (CNS-SLNB), SD-SLNB, and TT-SLNB, respectively. The FNR was 22.86% (8/35) for CNS-SLNB and 10% (3/30) for SD-SLNB. The FNR of TT-SLNB was 5.71% (2/35), which was significantly lower than those of CNS-SLNB and SD-SLNB. The NPV and accuracy was 95.0% and 97.3% for TT-SLNB, respectively. Moreover, a significant relation was seen between the pretreatment clinical T classification and the DR of TT-SLNB (Fisher’s exact test, p= 0.010). Conclusions: TT-SLNB revealed ideal performance in post-NAC ycN0 patients with pretreatment node-positive breast cancers. The application of TT-SLNB reached a better balance between more accurate axillary evaluation and less intervention. Clinical trial information: ChiCTR2000039814. [Table: see text]

Volume-based parameters on FDG-PET/CT as early predictors of disease recurrence in postmastectomy breast cancer patients with one to three positive axillary lymph nodes without adjuvant radiotherapy.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 1124-1124
Author(s):  
Naomi Nakajima ◽  
Masaaki Kataoka ◽  
Atsushi Nishikawa ◽  
Yoshifumi Sugawara ◽  
Shinya Sakai ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Fdg Pet ◽  
Axillary Lymph Nodes ◽  
Axillary Lymph ◽  
Breast Cancer Patients ◽  
Pet Ct ◽  
Fdg Pet Ct

1124 Background: The indication for postmastectomy radiotherapy (PMRT) in patients with 1-3 lymph node metastases in the axilla have been controversial, despite the recommendation that PMRT should be applied. In the current study, we focused our study on volume-based parameters of pretreatment FDG-PET/CT, with the aim of investigating a measurement that could help identify high-risk populations for recurrence. Methods: We retrospectively analyzed 88 patients of breast cancer treated with modified radical mastectomy and were found to have 1-3 metastatic axillary lymph nodes between 2006 and 2010. All of them were studied with FDG-PET/CT for initial staging. We evaluated the relationship between clinicopathologic factors or PET parameters including the maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) and recurrence. MTV and TLG of the primary tumor and metastatic lymph node were measured by using semi-automatically delineated volume of interest (VOI) with an isocontour threshold of 40 % of the SUVmax. The optimal cutoffs of PET parameters were determined by ROC curve analysis. Results: The median follow up duration was 39 months. Median MTV was 21.1and median TLG was 42.7. Recurrence was observed in 10 patients. The area under the ROC curve of MTV and TLG for DFS was 0.82 and 0.85, respectively. In Cox univariate analysis, estrogen receptor status (HR = 6.8, p = 0.003), triple negativity (HR = 10.4, p = 0.0008), SUVmax (HR = 71.1, p = 0.001), MTV (HR = 130.3, p < 0.0001), and TLG (HR = 234.1, p = 0.0001) were significantly related to disease free survival (DFS). The estimated 3-year DFS rates were 96.4 % for the lower MTV group (< 31.8) and 71.4% for the higher MTV group (≥ 31.8, p = 0.0005). The estimated 3-year DFS rates were 95.8 % for the lower TLG group (< 109.6) and 50.0 % for the higher TLG group (≥ 109.6, p < 0.0001). On multivariate analysis, TLG was an independent prognostic factor of DFS (HR = 8.5, p = 0.005). Conclusions: Volume-based parameters on FDG-PET/CT were significant predictors of DFS in postmastectomy breast cancer patients with 1-3 metastatic axillary lymph nodes.

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