Node Reporting and Data System Evaluation of Axillary Nodes in Invasive Ductal and Lobular Carcinoma

Background Although the Node Reporting and Data System (Node-RADS) offers a standardized method for assessing lymph node metastasis, its performance may vary according to the histologic type of breast cancer. Purpose To evaluate the applicability of the Node-RADS score in assessing axillary lymph node involvement in patients with invasive ductal carcinoma (IDC) or invasive lobular carcinoma (ILC). Materials and Methods In this retrospective study, data from consecutive women with pathologically confirmed IDC or ILC who underwent preoperative breast MRI between January 2017 and December 2018 were analyzed. Axillary nodal status was assessed using Node-RADS, in which nodal size and configuration criteria are combined into a final assessment score ranging from 1 (very low suspicion) to 5 (very high suspicion). The performance of the Node-RADS score for predicting axillary lymph node metastasis was compared between the two histologic types using the χ<sup>2</sup> test. Results A total of 1602 women (mean age, 50.6 years ± 9.8 [SD]), including 25 with bilateral cancers, were included, yielding 1627 breast cancers. Among these cancers, 1486 were IDC and 141 were ILC. The frequency of lymph node metastasis was 25% (377 of 1486) for IDC and 28% (40 of 141) for ILC (<i>P</i> = .44). A Node-RADS score of 3 or greater yielded the highest Youden index for predicting axillary lymph node metastasis for both histologic types. At this cutoff, the sensitivity and specificity were 71.1% (268 of 377) and 86.5% (959 of 1109) for IDC and 52.5% (21 of 40) and 85.1% (86 of 101) for ILC, respectively. Although there was no evidence of a difference in specificity between the histologic types, sensitivity was significantly lower for ILC (<i>P</i> = .02). The area under the receiver operating characteristic curve (AUC) was 0.83 for IDC and 0.74 for ILC (<i>P</i> = .08). Multivariable logistic regression analyses confirmed Node-RADS score as an independent predictor of axillary lymph node metastasis (odds ratio, 3.1; <i>P</i> < .001). Conclusion The Node-RADS score demonstrated comparable performance in terms of AUC in axillary nodal evaluation for IDC and ILC but lower sensitivity for ILC. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Freitas in this issue.

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Publication Details

Journal
Radiology
Published
2025-09-01
DOI
https://doi.org/10.1148/radiol.243823
Citations
4
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
3.75
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article

Node Reporting and Data System Evaluation of Axillary Nodes in Invasive Ductal and Lobular Carcinoma

Hee Jeong Kim, Hee Jung Shin, Hye Joung Eom, Woo Jung Choi et al.
4 citations
Radiology
Breast Cancer Treatment Studies
3.75
article

Node Reporting and Data System Evaluation of Axillary Nodes in Invasive Ductal and Lobular Carcinoma

Hee Jeong Kim, Hee Jung Shin, Hye Joung Eom, Woo Jung Choi, Eun Young Chae, Hak Hee Kim, Joo Hee
article en
4 citations

Abstract

Background Although the Node Reporting and Data System (Node-RADS) offers a standardized method for assessing lymph node metastasis, its performance may vary according to the histologic type of breast cancer. Purpose To evaluate the applicability of the Node-RADS score in assessing axillary lymph node involvement in patients with invasive ductal carcinoma (IDC) or invasive lobular carcinoma (ILC). Materials and Methods In this retrospective study, data from consecutive women with pathologically confirmed IDC or ILC who underwent preoperative breast MRI between January 2017 and December 2018 were analyzed. Axillary nodal status was assessed using Node-RADS, in which nodal size and configuration criteria are combined into a final assessment score ranging from 1 (very low suspicion) to 5 (very high suspicion). The performance of the Node-RADS score for predicting axillary lymph node metastasis was compared between the two histologic types using the χ<sup>2</sup> test. Results A total of 1602 women (mean age, 50.6 years ± 9.8 [SD]), including 25 with bilateral cancers, were included, yielding 1627 breast cancers. Among these cancers, 1486 were IDC and 141 were ILC. The frequency of lymph node metastasis was 25% (377 of 1486) for IDC and 28% (40 of 141) for ILC (<i>P</i> = .44). A Node-RADS score of 3 or greater yielded the highest Youden index for predicting axillary lymph node metastasis for both histologic types. At this cutoff, the sensitivity and specificity were 71.1% (268 of 377) and 86.5% (959 of 1109) for IDC and 52.5% (21 of 40) and 85.1% (86 of 101) for ILC, respectively. Although there was no evidence of a difference in specificity between the histologic types, sensitivity was significantly lower for ILC (<i>P</i> = .02). The area under the receiver operating characteristic curve (AUC) was 0.83 for IDC and 0.74 for ILC (<i>P</i> = .08). Multivariable logistic regression analyses confirmed Node-RADS score as an independent predictor of axillary lymph node metastasis (odds ratio, 3.1; <i>P</i> < .001). Conclusion The Node-RADS score demonstrated comparable performance in terms of AUC in axillary nodal evaluation for IDC and ILC but lower sensitivity for ILC. © RSNA, 2025 <i>Supplemental material is available for this article.</i> See also the editorial by Freitas in this issue.

RadiologyVol. 316(3)
University of Ulsan (KR)
Openalex Percentile: Top 6%
Breast Cancer Treatment Studies
3.75
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