Diagnostic Value of Axillary Ultrasound, MRI, and &lt;sup&gt;18&lt;/sup&gt;F-FDG-PET/ CT in Determining Axillary Lymph Node Status in Breast Cancer Patients

Aktas, Aysegul; Gurleyik, Meryem Gunay; Aksu, Sibel Aydin; Aker, Fügen; Güngör, Serkan

doi:10.4274/ejbh.galenos.2021.2021-3-10

Cited by 10 publications

(10 citation statements)

References 26 publications

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“…Our study found that ultrasound had a sensitivity of 0.64 and specificity of 0.67. Other studies have reported values of sensitivity and specificity from 0.61–0.83 and 0.62–0.82, respectively [ 9 , 13 ]. This variability may be explained by one study’s finding that ultrasound is limited when evaluating small ALN or metastasis diameter [ 9 ].…”

Section: Discussionmentioning

confidence: 99%

“…Other studies have reported values of sensitivity and specificity from 0.61–0.83 and 0.62–0.82, respectively [ 9 , 13 ]. This variability may be explained by one study’s finding that ultrasound is limited when evaluating small ALN or metastasis diameter [ 9 ]. Our study had a wide range of tumor sizes, from 1–77 mm, which could affect the accuracy of the ultrasound.…”

Section: Discussionmentioning

confidence: 99%

“…Our study had a wide range of tumor sizes, from 1–77 mm, which could affect the accuracy of the ultrasound. One study suggests that imaging modalities should be combined to increase accuracy of the predicted axillary nodal status [ 9 ]. The combined sensitivity and specificity of MRI, mammogram, and AUS in our study was 0.50 and 0.77, respectively.…”

Section: Discussionmentioning

confidence: 99%

“…The prevalence of additional axillary metastasis in patients with positive sentinel lymph nodes has been reported to be 14.7–50.3% depending on the size of the metastasis in the SLN and the number of sentinel nodes with metastasis [ 8 ]. SLNB done without axillary lymph node dissection is now the standard for patients with clinically negative axillary lymph nodes (ALN), particularly those undergoing breast conserving surgery [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

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Factors Influencing Lymph Node Positivity in HER2/neu+ Breast Cancer Patients

et al. 2023

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Axillary lymph node metastases are a key prognostic factor in breast cancer treatment. Our aim was to evaluate how tumor size, tumor location, and imaging results correlate to axillary lymph node diseases for patients with stage I-III HER2/neu+ breast cancer. This is a single-institution retrospective chart review of female breast cancer patients diagnosed with primary invasive Her2/neu+ breast cancer who were treated with upfront surgical resection from 2000–2021. Of 75 cases, 44/75 (58.7%) had nodal metastasis, and there was a significant association of larger tumor size to nodal metastases (p ≤ 0.001). Patients with negative nodes had a smaller mean tumor size (n = 30; 15.10 mm) than patients with positive nodes (n = 45; 23.9 mm) (p = 0.002). Preoperative imaging detected suspicious nodes in 36 patients, and ultrasound detected the most positive nodes (14/18; p = 0.027). Our data confirms that tumor size at diagnosis is correlated with a higher likelihood of axillary involvement in patients with Her2/neu+ breast cancer; notably, a large proportion of Her2/neu+ breast cancers have metastatic involvement of axillary lymph nodes even with small primary lesions.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Factors Influencing Lymph Node Positivity in HER2/neu+ Breast Cancer Patients

et al. 2023

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“…In the current study, the sensitivity, specificity, PPV, and NPV of SM model was 0.783, 0.630, 0.474, and 0.871, respectively. A recent report described the diagnostic performance of traditional imaging method such as ultrasound, magnetic resonance imaging (MRI), and positron emission tomography (PET)/computed tomography (CT) with 18 F-fluorodeoxyglucose (FDG) in detecting the ALN metastasis ( 30 ). The ultrasound results showed a sensitivity of 0.83, specificity of 0.62, PPV of 0.592, and NPV of 0.548.…”

Section: Discussionmentioning

confidence: 99%

Use of machine learning with two-dimensional synthetic mammography for axillary lymph node metastasis prediction in breast cancer: a preliminary study

Haraguchi¹,

Goto²,

Furuya³

et al. 2023

Transl Cancer Res

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Background As of 2020, breast cancer is the most common type of cancer and the fifth most common cause of cancer-related deaths worldwide. The non-invasive prediction of axillary lymph node (ALN) metastasis using two-dimensional synthetic mammography (SM) generated from digital breast tomosynthesis (DBT) could help mitigate complications related to sentinel lymph node biopsy or dissection. Thus, this study aimed to investigate the possibility of predicting ALN metastasis using radiomic analysis of SM images. Methods Seventy-seven patients diagnosed with breast cancer using full-field digital mammography (FFDM) and DBT were included in the study. Radiomic features were calculated using segmented mass lesions. The ALN prediction models were constructed based on a logistic regression model. Parameters such as the area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Results The FFDM model yielded an AUC value of 0.738 [95% confidence interval (CI): 0.608–0.867], with sensitivity, specificity, PPV, and NPV of 0.826, 0.630, 0.488, and 0.894, respectively. The SM model yielded an AUC value of 0.742 (95% CI: 0.613–0.871), with sensitivity, specificity, PPV, and NPV of 0.783, 0.630, 0.474, and 0.871, respectively. No significant differences were observed between the two models. Conclusions The ALN prediction model using radiomic features extracted from SM images demonstrated the possibility of enhancing the accuracy of diagnostic imaging when utilised together with traditional imaging techniques.

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