Diagnostic Performance of Axillary Ultrasound and Standard Breast MRI for Differentiation Between Limited and Advanced Axillary Nodal Disease in Clinically Node-Positive Breast Cancer Patients

Samiei, Sanaz; Nijnatten, Thiemo van; Beek, Hermen van; Polák, Martin; Maaskant-Braat, Sabrina; Heuts, E. M.; Kuijk, Sander van; Schipper, Robert-Jan; Lobbes, Marc; Smidt, Marjolein L.

doi:10.1016/j.ejso.2019.11.145

Cited by 2 publications

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“…[16][17][18][19][20][21] However, only a few studies have focused on the value of MRI for evaluating low axillary tumor burden. [22] As sentinel lymph node (SLN) is defined as the first LN that drains lymphatics from the breast, efforts to search for SLNs on imaging are crucial for cases with low tumor burden. It would be helpful to know the location of the SLN in cross-sectional imaging because it makes imaging-based nodal evaluation more accurate and helps correctly identify the SLN, which would be targeted for US-guided biopsy.…”

Section: Introductionmentioning

confidence: 99%

Magnetic resonance imaging evaluation of single axillary lymph node metastasis in breast cancer: Emphasis on the location of lymph nodes

Kim

Han

et al. 2022

Medicine

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To evaluate the frequency and location of abnormal lymph nodes (LNs) in breast cancer patients with a single axillary lymph node (ALN) metastasis on breast magnetic resonance imaging (MRI). We retrospectively reviewed the MRI findings of 219 consecutive patients with breast cancer with single ALN metastasis who were surgically confirmed at our institution between January 2018 and December 2018. The morphological features and locations of the abnormal LN on MRI were analyzed. Pathology reports were reviewed to evaluate the size of the metastases and whether they were sentinel LNs (SLNs). Of the 219 patients with a single ALN metastasis, 56 (25.6%) showed abnormal MRI findings. Of these, 54 (96.4%) had either the lowest or second-lowest LN in the level I axilla. In 184 (91.5%) of 201 patients who underwent SLN biopsy, the metastatic LN were SLN. Macrometastases were found more frequently in cases with abnormal LNs than in those with normal-looking LNs (P = .004). The most frequent morphological feature of metastatic ALNs was a diffuse cortical thickening of 3 to 5 mm (37.5%). Although MRI findings of single ALN metastasis in breast cancer patients are none or minimal, abnormalities are observed in the lowest or second-lowest LN in the lower axilla when present, suggesting the location of the SLNs.

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Section: Introductionmentioning

confidence: 99%

Magnetic resonance imaging evaluation of single axillary lymph node metastasis in breast cancer: Emphasis on the location of lymph nodes

Kim

Han

et al. 2022

Medicine

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“…The limitation of US is the variability of diagnostic performance, which depends on the operator’s experience and instrumentation. In addition, US has difficulty in identifying N 1 and N 2-3 (9).…”

Section: Introductionmentioning

confidence: 99%

Prediction of the number of metastatic axillary lymph nodes in breast cancer by radiomic signature based on dynamic contrast-enhanced MRI

Sun

et al. 2021

Acta Radiol

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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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Diagnostic Performance of Axillary Ultrasound and Standard Breast MRI for Differentiation Between Limited and Advanced Axillary Nodal Disease in Clinically Node-Positive Breast Cancer Patients

Cited by 2 publications

References 0 publications

Magnetic resonance imaging evaluation of single axillary lymph node metastasis in breast cancer: Emphasis on the location of lymph nodes

Magnetic resonance imaging evaluation of single axillary lymph node metastasis in breast cancer: Emphasis on the location of lymph nodes

Prediction of the number of metastatic axillary lymph nodes in breast cancer by radiomic signature based on dynamic contrast-enhanced MRI

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