The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer

Çelebi, Filiz; Pilancı, Kezban Nur; Ordu, Çetın; Agacayak, Filiz; Alço, Gül; Ilgun, Serkan; Sarsenov, Dauren; Erdoğan, Zeynep; Özmen, Vahit

doi:10.5152/dir.2015.14515

Cited by 71 publications

(94 citation statements)

References 22 publications

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“…These ndings are also consistent with other studies, both based in China and elsewhere [22,23]. Many studies have shown that tissue density information obtained by SWE can predict the degree of vascular in ltration, which is a predictor of lymph node metastasis [24,25]. Tumor cells can in ltrate the surrounding stroma and cause changes to connective tissue, increasing collagen cross-linking and the corresponding density of surrounding tissues.…”

Section: Discussionsupporting

confidence: 90%

Efficacy of contrast-enhanced ultrasonography and shear-wave elastography in conjunction with BI-RADS classification for diagnosis of small breast nodules

Shen

Liu

et al. 2020

Preprint

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Background: Identification of malignancy in small breast nodules can be difficult using conventional methods, especially in patients with dense breast tissue. Advanced imaging techniques, including contrast-enhanced ultrasound (CEUS) and shear-wave elastography (SWE), could be used in conjunction with Breast Imaging Reporting and Data System (BI-RADS) classification to characterize these nodules more effectively. This study aimed to evaluate the use of CEUS and SWE for the differentiation of benign from malignant small (≤ 2 cm) breast nodules.Methods: This retrospective study reviewed the medical records and imaging data of 302 patients who underwent evaluation for 305 small breast nodules from November 2015 to December 2019. BI-RADS classification of nodules and the results of CEUS and SWE were retrospectively analyzed; the diagnostic efficacy of these techniques was evaluated by comparison with pathology results. Receiver operating characteristic curves were analyzed based on the CEUS patterns and shear-wave velocity values of nodules. The sensitivities, specificities, positive and negative predictive values, and accuracies of BI-RADS, CEUS, SWE, and a combination of all three methods for identifying benign versus malignant small breast nodules were investigated.Results: CEUS was effective at diagnosing malignant nodules when at least two out of nine suspicious features were present. Receiver operating curve analysis revealed that the best cut-off value for SWE was 3.7 m/s. For the diagnosis of benign breast nodules, the BI-RADS classification was reduced by one level when both CEUS and SWE were used, and was unchanged when either CEUS or SWE alone were used; the highest and lowest levels were category 5 and 3, respectively. Furthermore, when using the combined method, 75.8% (91/120) of small breast nodules with a BI-RADS category 4A classification avoided the need for coarse needle biopsies.Conclusion: Both CEUS and SWE can be used as auxiliary methods for clarifying BI-RADS classification of breast nodules, and a combination of these techniques may provide more diagnostic efficacy for identifying malignancy in small breast nodules.

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Section: Discussionsupporting

confidence: 90%

Efficacy of contrast-enhanced ultrasonography and shear-wave elastography in conjunction with BI-RADS classification for diagnosis of small breast nodules

Shen

Liu

et al. 2020

Preprint

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“…In fact, biomedical images contain hidden information on histologic and molecular characteristics of tumor lesions . Several studies have determined the association between US features and biological behaviors of breast cancers . Our preliminary results have shown that the proliferation and invasiveness of invasive breast cancer (IBC) were associated with the US features derived before surgery.…”

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confidence: 77%

The Association Between Ultrasound Features and Biological Properties of Invasive Breast Carcinoma Is Modified by Age, Tumor Size, and the Preoperative Axilla Status

Tong

Sun

Zhou

et al. 2019

J of Ultrasound Medicine

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Objectives-To investigate the value of ultrasound (US) feature-based models in predicting the proliferation and invasiveness of invasive breast cancer (IBC) and to compare the performance of models based solely on US features with models that combined US features, patient age, tumor size, and axilla status from US.Methods-With ethical approval, 746 patients with a pathologic diagnosis of IBC were reviewed for preoperative clinical, US, and postoperative pathologic data. The proliferation and invasiveness properties of the IBC included the histologic grade and Ki-67 status and lymphovascular invasion (LVI) and axillary lymph node metastasis (ALNM), respectively. Logistic regression analyses were used to identify independent risk factors for tumor proliferation and invasiveness.Results-Posterior echo enhancement, calcification, a tumor size larger than 2 cm, and suspicion of ALNM from axillary US were independent risk factors for a high histologic grade and high Ki-67 expression of IBC (P < .05). A posterior echo shadow, patient age younger than 45 years, and suspicious findings on axillary US imaging were independent variables for predicting the presence of LVI and ALNM in IBC (P < .05). Calcification was the independent factor for predicting LVI (P = .013). The predictive performance of the combined models was improved compared with the US feature-based models, with a higher accuracy rate and negative predictive value. The area under curve of the combined models was also significantly higher than that of the single models (P < .05).Conclusions-Compared with the US feature-based models, the combined models yielded better predictive performance. This may provide a more robust model to predict the tumor biological properties of IBC before surgery.

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“…Radiomics can provide additional information for the diagnosis, prognosis, and prediction in clinical practice (11,12). Certain qualitative imaging features obtained via mammography, breast magnetic resonance imaging (MRI), and ultrasound have been indicated to be correlated with the diagnosis, prognosis, molecular subtyping, and prediction of the response to treatment in breast cancer patients (13)(14)(15)(16)(17). Recently, a correlation between dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and TIL levels was reported in MRI computer-aided detection of TNBC patients (18).…”

Section: Introductionmentioning

confidence: 99%

Correlation Between Mammographic Radiomics Features and the Level of Tumor-Infiltrating Lymphocytes in Patients With Triple-Negative Breast Cancer

Meng

Huang

et al. 2020

Front. Oncol.

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Objectives: Tumor-infiltrating lymphocytes (TILs) have been identified as a significant prognostic indicator of response to neoadjuvant therapy and immunotherapy for triple-negative breast cancer (TNBC) patients. Herein, we aim to assess the association between TIL levels and mammographic features in TNBC patients. Methods: Forty-three patients with surgically proven TNBC who underwent preoperative mammography from January 2018 to December 2018 were recruited. Pyradiomics software was used to extract 204 quantitative radiomics features, including morphologic, grayscale, and textural features, from the segmented lesion areas. The correlation between radiological characteristics and TIL levels was evaluated by screening the most statistically significant radiological features using Mann-Whitney U-test and Pearson correlation coefficient. The patients were divided into two groups based on tumor TIL levels: patients with TIL levels <50% and those with TIL levels ≥50%. The correlation between TIL levels and clinicopathological characteristics was assessed using the chi-square test or Fisher's exact test. Mann-Whitney U-test and Pearson correlation coefficient were used to analyze the statistical significance and Pearson correlation coefficient of clinical pathological features, age, and radiological features. Conclusion: Mammography features not only distinguish high and low TIL levels in TNBC patients but also can act as imaging biomarkers to enhance diagnosis and the response of patients to neoadjuvant therapies and immunotherapies.

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The role of ultrasonographic findings to predict molecular subtype, histologic grade, and hormone receptor status of breast cancer

Cited by 71 publications

References 22 publications

Efficacy of contrast-enhanced ultrasonography and shear-wave elastography in conjunction with BI-RADS classification for diagnosis of small breast nodules

Efficacy of contrast-enhanced ultrasonography and shear-wave elastography in conjunction with BI-RADS classification for diagnosis of small breast nodules

The Association Between Ultrasound Features and Biological Properties of Invasive Breast Carcinoma Is Modified by Age, Tumor Size, and the Preoperative Axilla Status

Correlation Between Mammographic Radiomics Features and the Level of Tumor-Infiltrating Lymphocytes in Patients With Triple-Negative Breast Cancer

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