ArticleCancer imaging : the official publication of the International Cancer Imaging Society2019
Prediction of high nodal burden with ultrasound and magnetic resonance imaging in clinically node-negative breast cancer patients.
Article in Cancer imaging : the official publication of the International Cancer Imaging Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Prediction of sentinel lymph node status in patients with early breast cancer using breast imaging as an alternative to surgical staging-a systematic review and meta-analysis.Systematic reviews · 2025Pooled it
- The role of pre-operative axillary ultrasound in assessment of axillary tumor burden in breast cancer patients: a systematic review and meta-analysis.Breast cancer research and treatment · 2022Pooled it
- Comparison of automated breast ultrasound and hand-held breast ultrasound in preoperative evaluation of early-stage breast cancer: a multicenter prospective study.European radiology · 2026Article
- Less is more: the role of preoperative ultrasound as a risk stratifying tool in identifying low volume axillary disease in breast cancer.The British journal of radiology · 2026Observational
- Prognostic Role of Preoperative Axillary Ultrasound for Lymph Node Metastasis and Recurrence in Early Stage Breast Cancers.Journal of breast cancer · 2025Article
- Are Clinically Node-Negative Patients with a Positive Preoperative Axillary Lymph Node Biopsy Appropriate Candidates for Sentinel Lymph Node Biopsy?Annals of surgical oncology · 2025Article
- Prediction of axillary nodal burden using preoperative magnetic resonance imaging scoring in patients with clinically node-negative breast cancer: a retrospective cohort study.Gland surgery · 2024Article
- Preoperative MRI Features Associated With Axillary Nodal Burden and Disease-Free Survival in Patients With Early-Stage Breast Cancer.Korean journal of radiology · 2024Article
- Radiomics Analysis of Contrast-Enhanced Breast MRI for Optimized Modelling of Virtual Prognostic Biomarkers in Breast Cancer.European journal of breast health · 2024Article
- Automated Versus Handheld Breast Ultrasound for Evaluating Axillary Lymph Nodes in Patients With Breast Cancer.Korean journal of radiology · 2024Article
- Article
- Nomogram based on multiparametric analysis of early-stage breast cancer: Prediction of high burden metastatic axillary lymph nodes.Thoracic cancer · 2023Article
- Surgical Planning after Neoadjuvant Treatment in Breast Cancer: A Multimodality Imaging-Based Approach Focused on MRI.Cancers · 2023Review
- Review
- Ultrasound Features to Differentiate COVID-19 Vaccine-Induced Benign Adenopathy from Breast Cancer Related Malignant Adenopathy.Academic radiology · 2022Article
- Prediction of high nodal burden in invasive breast cancer by quantitative shear wave elastography.Quantitative imaging in medicine and surgery · 2022Article
- Ultrasonography and ultrasound-guided fine-needle aspiration biopsy can predict a heavy nodal metastatic burden in early-stage breast cancer.Ultrasonography (Seoul, Korea) · 2021Article
- Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer.European radiology · 2021Article
- Prediction of axillary nodal burden in patients with invasive lobular carcinoma using MRI.Breast cancer research and treatment · 2021Article
- Axillary ultrasound during neoadjuvant systemic therapy in triple-negative breast cancer patients.European journal of radiology · 2020Article
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7 authors.
Funding
Abstract
backgroundAlthough the role of axillary imaging has been redirected for predicting high nodal burden rather than predicting nodal metastases since ACOSOG Z1011 trial, it remains unclear whether and how axillary lymph node (ALN) characteristics predicts high nodal burden. Our study was aimed to evaluate the predictive value of imaging characteristics of ALNs at ultrasound and magnetic resonance imaging (MRI) for prediction of high nodal burden (≥3 metastatic ALNs) in clinically node-negative breast cancer patients.
methodsClinicopathological and imaging characteristics were evaluated in patients with ultrasound (n = 312) and MRI (n = 256). Imaging characteristics include number of suspicious ALNs and cortical morphologic changes (grade 1, cortical thickness < 2 mm; grade 2, 2-5 mm; grade 3, ≥5 mm or fatty hilum loss). Odds ratios (ORs) were calculated using multivariate analysis.
resultsFor ultrasound, higher (≥2) T stage (OR = 5.65, P = .005), higher number of suspicious ALNs (2 suspicious ALNs, OR = 6.52, P = .019; ≥ 3 suspicious ALNs, OR = 21.08, P = .005), and grade 3 of cortical morphologic changes (OR = 9.85, P = .023) independently associated with high nodal burden. For MRI, higher (≥2) T stage (OR = 5.17, P = .011) and higher number of suspicious ALNs (2 suspicious ALNs, OR = 69.00, P = .001; ≥ 3 suspicious ALNs, OR = 93.55, P < .001) were independently associated with high nodal burden. Among patients with 2 suspicious ALNs, those with grade 3 cortical morphologic change at ultrasound had a higher rate of high nodal burden than those with grade 2 (60.0% [3/5] vs. 25.0% [2/8]).
conclusionsA higher number of suspicious ALNs is an independent predictor for high nodal burden. Further stratification can be achieved by incorporating assessment of ultrasound-based cortical morphologic changes.
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