Ultrasound Utility for Predicting Biological Behavior of Invasive Ductal Breast Cancers

Zhang, Lei; Liu, Yujie; Jiang, Shuangquan; Cui, Hao; Li, Zi-Yao; Tian, Jiawei

doi:10.7314/apjcp.2014.15.19.8057

Cited by 9 publications

(18 citation statements)

References 26 publications

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“…Most malignant breast lesions are characterized by dense interstitial fibrosis; the cancer cells in the fibrous stroma infiltrate the lesion caused by nearby construction activity, thus reducing adhesion and decreasing elasticity. Benign lesions, such as fibroadenomas show hyperplasia of the glandular epithelial cells and the stromal cells, which are rich in mucopolysaccharides, therefore imparting a relatively loose texture (Zhang et al, 2014). Our results are in agreement with the observations made by Krouskop et al (1998), which showed that the levels of elastic stiffness varied with different breast tissues; the invasive carcinoma showed the lowest elasticity, followed by noninvasive carcinoma, fibrous tissue in the breast, normal glandular breast tissue, and breast fat tissue.…”

Section: Discussionsupporting

confidence: 83%

Elastography for Breast Cancer Diagnosis: a Useful Tool for Small and BI-RADS 4 Lesions

Liu¹,

Zhu²,

Liu³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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The present study aimed at evaluating and comparing the diagnostic performance of B-mode ultrasound (US), elastography score (ES), and strain ratio (SR) for the differentiation of breast lesions. This retrospective study enrolled 431 lesions from 417 in-hospital patients. All patients were examined with both conventional ultrasound and elastography. Two experienced radiologists reviewed ultrasound and elasticity images. The histopathologic result obtained from ultrasound-guided core biopsy or operation excisions were used as the reference standard. Pathologic examination revealed 276 malignant lesions (64%) and 155 benign lesions (36%). A cut-off point of 4.15 (area under the curve, 0.891) allowed significant differentiation of malignant and benign lesions. ROC (receiver-operating characteristic) curves showed a higher value for combination of B-mode ultrasound and elastography for the diagnosis of breast lesions. Conventional ultrasound combined elastography showed high sensitivity, specificity, and accuracy for group II lesions (10mm

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Section: Discussionsupporting

confidence: 83%

Elastography for Breast Cancer Diagnosis: a Useful Tool for Small and BI-RADS 4 Lesions

Liu¹,

Zhu²,

Liu³

et al. 2015

Asian Pacific Journal of Cancer Prevention

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“…Low grade HR+, HER- tumors were found to be more irregular in shape, with ill-defined margins, posterior shadowing and hyper- or complex echo. Conversely, high grade TN showed regular shape, a hypo- or complex posterior shadowing and posterior enhancement, similarly to other studies [ 45 , 46 ]. The echo pattern features were the most effective in the prediction of molecular subtypes.…”

Section: Radiomics and Molecular Subtypessupporting

confidence: 89%

A New Challenge for Radiologists: Radiomics in Breast Cancer

Crivelli

Ledda

Parascandolo

et al. 2018

BioMed Research International

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Introduction Over the last decade, the field of medical imaging experienced an exponential growth, leading to the development of radiomics, with which innumerable quantitative features are obtained from digital medical images, providing a comprehensive characterization of the tumor. This review aims to assess the role of this emerging diagnostic tool in breast cancer, focusing on the ability of radiomics to predict malignancy, response to neoadjuvant chemotherapy, prognostic factors, molecular subtypes, and risk of recurrence. Evidence Acquisition A literature search on PubMed and on Cochrane database websites to retrieve English-written systematic reviews, review articles, meta-analyses, and randomized clinical trials published from August 2013 up to July 2018 was carried out. Results Twenty papers (19 retrospective and 1 prospective studies) conducted with different conventional imaging modalities were included. Discussion The integration of quantitative information with clinical, histological, and genomic data could enable clinicians to provide personalized treatments for breast cancer patients. Current limitations of a routinely application of radiomics are represented by the limited knowledge of its basics concepts among radiologists and by the lack of efficient and standardized systems of feature extraction and data sharing.

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“…Basal-like cancers, however, are not synonymous with TNBC, but often there is an overlap; also, both basal-like and TNBC show a strong association with the BRCA gene mutation. 12,15,16 The TNBC subtype of breast cancer remains an extraordinary challenge for the oncologists/surgeons who treat these patients. Triple-negative breast cancer often occurs in younger women, who present with a larger tumor and are more likely to have distant visceral metastasis and an early relapse, making the overall outcome poor.…”

Section: Discussionmentioning

confidence: 99%

Role of Sonography in Predicting the Hormone Receptor Status of Breast Cancer: A Prospective Study

Tandon

Srivastava

Manchanda

et al. 2017

Journal of Diagnostic Medical Sonography

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Breast cancer is the most common cancer among women in the world, with a rising incidence. 1 It is a heterogeneous disease with a varied morphologic appearance, molecular features, behavior, and response to treatment. Currently, clinical management of breast carcinoma patients depends on pathologic prognostic and predictive factors that enable decision making among various treatment options for these patients. 2 Breast cancer patients are subcategorized into hormone receptor (estrogen receptor [ER]/progesterone receptor [PR]) positive, human epidermal growth factor receptor 2 (HER2) positive, or both hormone receptor and HER2 negative. The treatment offered varies accordingly; the patients who are ER/PR positive show good response to hormonal therapy, whereas HER2positive patients show good response to trastuzumab (Herceptin). Triple-negative breast cancer (TNBC) is a subcategory that lacks expression of all three receptors, that is, ER, PR, and HER2. This group of tumors is associated with a poorer prognosis. They usually present at a younger age, exhibit higher histologic grade, have larger size, have higher chances of distant metastasis, and have higher recurrence rates as compared with non-TNBC. 3,4 Therefore, early identification of the receptor type of breast cancer has important prognostic relevance and management implications. In recent years, some studies have focused on the imaging of breast carcinoma with modalities like 721663J DMXXX10.

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Ultrasound Utility for Predicting Biological Behavior of Invasive Ductal Breast Cancers

Cited by 9 publications

References 26 publications

Elastography for Breast Cancer Diagnosis: a Useful Tool for Small and BI-RADS 4 Lesions

Elastography for Breast Cancer Diagnosis: a Useful Tool for Small and BI-RADS 4 Lesions

A New Challenge for Radiologists: Radiomics in Breast Cancer

Role of Sonography in Predicting the Hormone Receptor Status of Breast Cancer: A Prospective Study

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