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Erschienen in:

03.01.2021 | Clinical trial

Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI

verfasst von: Su Min Ha, Jung Min Chang, Soo-Yeon Kim, Su Hyun Lee, Eun Sil Kim, Yeon Soo Kim, Nariya Cho, Woo Kyung Moon

Erschienen in: Breast Cancer Research and Treatment | Ausgabe 2/2021

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Abstract

Purpose

To investigate clinical and imaging features associated with a high nodal burden (≥ 3 metastatic lymph nodes [LNs]) and compare diagnostic performance of US and MRI in patients with invasive lobular carcinoma (ILC) and invasive ductal carcinoma (IDC).

Methods

Retrospective search revealed 239 patients with ILC and 999 with IDC who underwent preoperative US and MRI between January 2016 and June 2019. Patients with ILC were propensity-score-matched with patients with IDC. Univariate and multivariate logistic regression analyses were performed to determine factors associated with ≥ 3 metastatic LNs.

Results

412 patients (206 ILC and 206 IDC) were evaluated. Of all patients with ILC, 27.2% (56/206) were node-positive and 7.8% (16/206) showed a high nodal burden. In multivariate analysis, the clinical N stage was the only independent factor associated with a high nodal burden in patients with IDC (odds ratio [OR] 6.24; 95% confidence interval [CI] 1.57–24.73; P = 0.009), but not in patients with ILC. Increased cortical thickness with loss of fatty hilum on US was associated with a high nodal burden in patients with ILC (OR 58.40; 95% CI 5.09–669.71; P = 0.001) and IDC (OR 24.14; 95% CI 3.52–165.37; P = 0.001), while suspicious LN findings at MRI were independently associated with a high nodal burden in ILC only (OR 13.94; 95% CI 2.61–74.39; P = 0.002).

Conclusion

In patients with ILC, MRI findings of suspicious LNs were helpful to predict a high nodal disease burden.
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Metadaten
Titel
Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI
verfasst von
Su Min Ha
Jung Min Chang
Soo-Yeon Kim
Su Hyun Lee
Eun Sil Kim
Yeon Soo Kim
Nariya Cho
Woo Kyung Moon
Publikationsdatum
03.01.2021
Verlag
Springer US
Erschienen in
Breast Cancer Research and Treatment / Ausgabe 2/2021
Print ISSN: 0167-6806
Elektronische ISSN: 1573-7217
DOI
https://doi.org/10.1007/s10549-020-06056-9

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