scholarly journals A Case of Breast Cancer Associated with Castleman's Disease of Axillary Lymph Node Origin with Difficult Preoperative N-stage Determination

2017 ◽  
Vol 78 (8) ◽  
pp. 1733-1737
Author(s):  
Shoji TSUNEKAWA ◽  
Nobuko OGURA ◽  
Jun KAWAI
2020 ◽  
Author(s):  
Xiaoxi Ma ◽  
Xia Yang ◽  
Wentao Yang ◽  
Ruohong Shui

Abstract Background Several studies have demonstrated that extranodal extension (ENE) is associated with prognosis in breast cancer. Whether this association should be described in pathological reports warrants further investigation.Objective In this research, we evaluated the predictive value of ENE in axillary lymph nodes (ALNs) in invasive breast cancer and explored the feasibility of employing ENE to predict clinicopathological features, nodal burden, disease recurrence-free survival (DRFS) and overall survival (OS) in clinical practice. In addition, the cutoff values of perpendicular diameter (PD-ENE) and circumferential diameter (CD-ENE) of ENE were investigated.Methods A total of 402 cases of primary invasive breast cancer were extracted from Fudan University Shanghai Cancer Center; these patients underwent axillary lymph node dissection (ALND) between 2010 and 2015. ENE in the axillary lymph node (ALN) was defined as the tumor cells breaking through the lymph node capsule into peripheral adipose tissue and causing connective tissue reactions. Relationships between ENE and clinicopathological features, nodal burden, disease recurrence-free survival (DRFS) and overall survival (OS) were analyzed. PD-ENE was defined by measuring from the point where tumor tissue broke the node capsule to the highest point of the tumor cells in the perinodal adipose tissue. The average PD-ENE was 1.8 mm; therefore, we divided ENE-positive patients into two groups: PD-ENE no greater than 2 mm and PD-ENE greater than 2 mm. CD-ENE was defined as measuring along the nodal capsule as the distance between peripheral edges of the ENE area. According to the average circumferential diameter (CD-ENE), we classified ENE-positive patients into two groups: CD-ENE no greater than 3 mm and CD-ENE greater than 3 mm. Correlations between ENE cutoffs and prognosis were analyzed.Results In this cohort of patients, 158 (39.3%) cases were positive for ENE in ALN.98 (24.4%) cases had PD-ENE no larger than 2 mm, and 60 (14.9%) cases had PD-ENE larger than 2 mm. Also, 112 (27.9%) cases had CD-ENE no larger than 3 mm, and 46 (11.4%) cases had CD-ENE larger than 3 mm. Statistical analysis indicated that histological grade, N stage, and HER2 overexpression subtype were associated with ENE. The presence of ENE had significant statistical correlations with nodal burden, including N stage, median metastatic tumor diameter and peri-lymph node vascular invasion (p < 0.001, p < 0.001, p = 0.001, respectively). Cox regression analysis demonstrated that patients with ENE exhibited significantly reduced DRFS in both univariate analysis (HR 2.126, 95% CI 1.453 - 3.112, p < 0.001) and multivariate analysis (HR 1.745, 95% CI 1.152 - 2.642, p = 0.009) compared with patients without ENE. For overall survival (OS), patients with ENE were associated with OS in univariate analysis (HR 2.505, 95% CI 1.337 - 4.693, p = 0.004) but not in multivariate analysis (HR 1.639, 95% CI 0.824 - 3.260, p = 0.159). Kaplan–Meier curves and log-rank test showed that patients with ENE in ALN had lower DRFS and OS (for DRFS: p < 0.0001; and for OS: p = 0.002, respectively). However, neither the PD-ENE group (divided by 2 mm) nor the CD-ENE group (divided by 3 mm) exhibited significant differences regarding nodal burden and prognosis.Conclusions Our study indicated that ENE in the ALN was a predictor of prognosis in breast cancer. ENE was an independent prognostic factor for DRFS and was associated with OS. ENE in the ALN was associated with a higher nodal burden. The size of ENE, which was classified by a 3-mm (CD-ENE) or 2-mm (PD-ENE) cutoff value, had no significant prognostic value in this study. Based on our findings, the presence of ENE should be included in routine pathological reports of breast cancers. However, the cutoff values of ENE warrant further investigation.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 757
Author(s):  
Sanaz Samiei ◽  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey Primakov ◽  
Marc B. I. Lobbes ◽  
...  

Radiomics features may contribute to increased diagnostic performance of MRI in the prediction of axillary lymph node metastasis. The objective of the study was to predict preoperative axillary lymph node metastasis in breast cancer using clinical models and radiomics models based on T2-weighted (T2W) dedicated axillary MRI features with node-by-node analysis. From August 2012 until October 2014, all women who had undergone dedicated axillary 3.0T T2W MRI, followed by axillary surgery, were retrospectively identified, and available clinical data were collected. All axillary lymph nodes were manually delineated on the T2W MR images, and quantitative radiomics features were extracted from the delineated regions. Data were partitioned patient-wise to train 100 models using different splits for the training and validation cohorts to account for multiple lymph nodes per patient and class imbalance. Features were selected in the training cohorts using recursive feature elimination with repeated 5-fold cross-validation, followed by the development of random forest models. The performance of the models was assessed using the area under the curve (AUC). A total of 75 women (median age, 61 years; interquartile range, 51–68 years) with 511 axillary lymph nodes were included. On final pathology, 36 (7%) of the lymph nodes had metastasis. A total of 105 original radiomics features were extracted from the T2W MR images. Each cohort split resulted in a different number of lymph nodes in the training cohorts and a different set of selected features. Performance of the 100 clinical and radiomics models showed a wide range of AUC values between 0.41–0.74 and 0.48–0.89 in the training cohorts, respectively, and between 0.30–0.98 and 0.37–0.99 in the validation cohorts, respectively. With these results, it was not possible to obtain a final prediction model. Clinical characteristics and dedicated axillary MRI-based radiomics with node-by-node analysis did not contribute to the prediction of axillary lymph node metastasis in breast cancer based on data where variations in acquisition and reconstruction parameters were not addressed.


Breast Cancer ◽  
2012 ◽  
Vol 20 (1) ◽  
pp. 41-46 ◽  
Author(s):  
Masakuni Noguchi ◽  
Emi Morioka ◽  
Yukako Ohno ◽  
Miki Noguchi ◽  
Yasuharu Nakano ◽  
...  

2020 ◽  
Vol 168 (4) ◽  
pp. 500-502
Author(s):  
A. V. Kabakov ◽  
A. P. Lykov ◽  
O. V. Kazakov ◽  
A. F. Poveshchenko ◽  
O. V. Poveshchenko ◽  
...  

2015 ◽  
Vol 81 (5) ◽  
pp. 454-457 ◽  
Author(s):  
Michael G. Mount ◽  
Nicholas R. White ◽  
Christophe L. Nguyen ◽  
Richard K. Orr ◽  
Robert B. Hird

Sentinel lymph node biopsy (SLNB) is used to detect axillary lymph node metastases in breast cancer. Preoperative radiocolloid injection with lymphoscintigraphy (PL) is performed before SLNB. Few comparisons between 1- and 2-day PL protocols exist. Opponents of a 2-day protocol have expressed concerns of radiotracer washout to nonsentinel nodes. Proponents cite lack of scheduling conflicts between PL and surgery. A total of 387 consecutive patients with clinically node-negative breast cancer underwent SLNB with PL. Lymphoscintigraphy images were obtained within 30 minutes of radio-colloid injection. Axillary lymph node dissection was performed if the sentinel lymph node (SLN) could not be identified. Data were collected regarding PL technique and results. In all, 212 patients were included in the 2-day PL group and 175 patients in the 1-day PL group. Lymphoscintigraphy identified an axillary sentinel node in 143/212 (67.5%) of patients in the 2-day group and 127/175 (72.5%) in the 1-day group ( P = 0.28). SLN was identified at surgery in 209/212 (98.6%) patients in the 2-day group and 174/175 (99.4%) in the 1-day group ( P = 0.41). An average of 3 SLN was found at surgery in the 2-day group compared with 3.15 in the 1-day group ( P = 0.43). SLN was positive for metastatic disease in 54/212 (25.5%) patients in the 2-day group compared with 40/175 (22.9%) in the 1-day group ( P = 0.55). A 2-day lymphoscintigraphy protocol allows reliable detection of the SLN, of positive SLN and equivalent SLN harvest compared with a 1-day protocol. The timing of radiocolloid injection before SLNB can be left at the discretion of the surgeon.


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