Characteristics of axillary lymph nodes apparent on dynamic contrast-enhanced breast MRI in healthy women

Background The number of metastatic axillary lymph nodes (ALNs) play a crucial role in the staging, prognosis and therapy of patients with breast cancer. Purpose To predict the number of metastatic ALNs in breast cancer via radiomics. Material and Methods We enrolled 197 patients with breast cancer who underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). A total of 3386 radiomic features were extracted from the early- and delayed-phase subtraction images. To classify the number of metastatic ALNs, logistic regression was used to develop a radiomic signature and nomogram. Results The radiomic signature were constructed to distinguish the N0 group from the N+ (metastatic ALNs ≥ 1) group, which yielded area under the curve (AUC) values of 0.82 and 0.81 in the training and test group, respectively. Based on the radiomic signature and BI-RADS category, a nomogram was further developed and showed excellent predictive performance with AUC values of 0.85 and 0.89 in the training and test groups, respectively. Another radiomic signature was constructed to distinguish the N1 (1–3 ALNs) group from the N2–3 (≥4 metastatic ALNs) group and showed encouraging performance with AUC values of 0.94 and 0.84 in training and test group, respectively. Conclusions We developed a nomogram and a radiomic signature that can be used to predict ALN metastasis and distinguish the N1 from the N2-3 group. Both nomogram and radiomic signature may be potential tools to assist clinicians in assessing ALN metastasis in patients with breast cancer.

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Fat-enlarged axillary lymph nodes are associated with node-positive breast cancer in obese patients

Breast Cancer Research and Treatment ◽

10.1007/s10549-021-06262-z ◽

2021 ◽

Author(s):

Roberta M. diFlorio-Alexander ◽

Qingyuan Song ◽

Dennis Dwan ◽

Judith A. Austin-Strohbehn ◽

Kristen E. Muller ◽

...

Keyword(s):

Breast Cancer ◽

Lymph Nodes ◽

Invasive Breast Cancer ◽

Breast Mri ◽

Axillary Lymph Nodes ◽

Axillary Lymph ◽

Obese Women ◽

Axillary Metastases ◽

Node Positive ◽

Positive Breast Cancer

Abstract Purpose Obesity associated fat infiltration of organ systems is accompanied by organ dysfunction and poor cancer outcomes. Obese women demonstrate variable degrees of fat infiltration of axillary lymph nodes (LNs), and they are at increased risk for node-positive breast cancer. However, the relationship between enlarged axillary nodes and axillary metastases has not been investigated. The purpose of this study is to evaluate the association between axillary metastases and fat-enlarged axillary nodes visualized on mammograms and breast MRI in obese women with a diagnosis of invasive breast cancer. Methods This retrospective case–control study included 431 patients with histologically confirmed invasive breast cancer. The primary analysis of this study included 306 patients with pre-treatment and pre-operative breast MRI and body mass index (BMI) > 30 (201 node-positive cases and 105 randomly selected node-negative controls) diagnosed with invasive breast cancer between April 1, 2011, and March 1, 2020. The largest visible LN was measured in the axilla contralateral to the known breast cancer on breast MRI. Multivariate logistic regression models were used to assess the association between node-positive status and LN size adjusting for age, BMI, tumor size, tumor grade, tumor subtype, and lymphovascular invasion. Results A strong likelihood of node-positive breast cancer was observed among obese women with fat-expanded lymph nodes (adjusted OR for the 4th vs. 1st quartile for contralateral LN size on MRI: 9.70; 95% CI 4.26, 23.50; p < 0.001). The receiver operating characteristic curve for size of fat-enlarged nodes in the contralateral axilla identified on breast MRI had an area under the curve of 0.72 for predicting axillary metastasis, and this increased to 0.77 when combined with patient and tumor characteristics. Conclusion Fat expansion of axillary lymph nodes was associated with a high likelihood of axillary metastases in obese women with invasive breast cancer independent of BMI and tumor characteristics.

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Diagnostic accuracy of metastatic axillary lymph nodes in breast MRI

SpringerPlus ◽

10.1186/s40064-016-2419-7 ◽

2016 ◽

Vol 5 (1) ◽

Cited By ~ 7

Author(s):

Gozde Arslan ◽

Kubra Murzoglu Altintoprak ◽

Inci Kizildag Yirgin ◽

Mehmet Mahir Atasoy ◽

Levent Celik

Keyword(s):

Lymph Nodes ◽

Diagnostic Accuracy ◽

Breast Mri ◽

Axillary Lymph Nodes ◽

Axillary Lymph

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Fat-enlarged Axillary Lymph Nodes are Associated with Node-Positive Breast Cancer in Obese Patients

10.1101/2021.02.17.20246504 ◽

2021 ◽

Author(s):

Roberta M. diFlorio-Alexander ◽

Qingyuan Song ◽

Dennis Dwan ◽

Judith A. Austin-Strohbehn ◽

Kristen E. Muller ◽

...

Keyword(s):

Breast Cancer ◽

Lymph Nodes ◽

Invasive Breast Cancer ◽

Breast Mri ◽

Axillary Lymph Nodes ◽

Axillary Lymph ◽

Obese Women ◽

Axillary Metastases ◽

Node Positive ◽

Positive Breast Cancer

AbstractPurposeObesity-associated fat infiltration of organ systems is accompanied by organ dysfunction and poor cancer outcomes. Obese women demonstrate variable degrees of fat infiltration of axillary lymph nodes (LNs), and they are at increased risk for node-positive breast cancer. However, the relationship between enlarged axillary nodes and axillary metastases has not been investigated. The purpose of this study is to evaluate the association between axillary metastases and fat-enlarged axillary nodes visualized on mammograms and breast MRI in obese women with a diagnosis of invasive breast cancer.MethodsThis retrospective case-control study included 431 patients with histologically confirmed invasive breast cancer. The primary analysis of this study included 306 patients with pre-operative MRI and body mass index (BMI) > 30 (201 node-positive cases and 105 randomly selected node-negative controls) diagnosed with invasive breast cancer diagnosed between April 1, 2011, and March 1, 2020. The largest visible LN was measured in the axilla contralateral to the known breast cancer on breast MRI. Multivariate logistic regression models were used to assess the association between node-positive status and LN size adjusting for age, BMI, tumor size, tumor grade, tumor subtype, and lymphovascular invasion.ResultsA strong likelihood of node-positive breast cancer was observed among obese women with fat-expanded lymph nodes (adjusted OR for the 4th vs. 1st quartile for contralateral LN size on MRI: 9.70; 95% CI: 4.26, 23.50; p < 0.001). The receiver operating characteristic curve for size of fat-enlarged nodes in the contralateral axilla identified on breast MRI had an area under the curve of 0.72 for predicting node-positive breast cancer and this increased to 0.80 when combined with patient and tumor characteristics.ConclusionFat expansion of axillary lymph nodes was associated with a high likelihood of axillary metastases in obese women with invasive breast cancer independent of BMI and tumor characteristics.

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