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      Does shear wave ultrasound independently predict axillary lymph node metastasis in women with invasive breast cancer?

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          Abstract

          Shear wave elastography (SWE) shows promise as an adjunct to greyscale ultrasound examination in assessing breast masses. In breast cancer, higher lesion stiffness on SWE has been shown to be associated with features of poor prognosis. The purpose of this study was to assess whether lesion stiffness at SWE is an independent predictor of lymph node involvement. Patients with invasive breast cancer treated by primary surgery, who had undergone SWE examination were eligible. Data were retrospectively analysed from 396 consecutive patients. The mean stiffness values were obtained using the Aixplorer ® ultrasound machine from SuperSonic Imagine Ltd. Measurements were taken from a region of interest positioned over the stiffest part of the abnormality. The average of the mean stiffness value obtained from each of two orthogonal image planes was used for analysis. Associations between lymph node involvement and mean lesion stiffness, invasive cancer size, histologic grade, tumour type, ER expression, HER-2 status and vascular invasion were assessed using univariate and multivariate logistic regression. At univariate analysis, invasive size, histologic grade, HER-2 status, vascular invasion, tumour type and mean stiffness were significantly associated with nodal involvement. Nodal involvement rates ranged from 7 % for tumours with mean stiffness <50 kPa to 41 % for tumours with a mean stiffness of >150 kPa. At multivariate analysis, invasive size, tumour type, vascular invasion, and mean stiffness maintained independent significance. Mean stiffness at SWE is an independent predictor of lymph node metastasis and thus can confer prognostic information additional to that provided by conventional preoperative tumour assessment and staging.

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          Most cited references21

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          Shear-wave elastography improves the specificity of breast US: the BE1 multinational study of 939 masses.

          To determine whether adding shear-wave (SW) elastographic features could improve accuracy of ultrasonographic (US) assessment of breast masses. From September 2008 to September 2010, 958 women consented to repeat standard breast US supplemented by quantitative SW elastographic examination in this prospective multicenter institutional review board-approved, HIPAA-compliant protocol. B-mode Breast Imaging Reporting and Data System (BI-RADS) features and assessments were recorded. SW elastographic evaluation (mean, maximum, and minimum elasticity of stiffest portion of mass and surrounding tissue; lesion-to-fat elasticity ratio; ratio of SW elastographic-to-B-mode lesion diameter or area; SW elastographic lesion shape and homogeneity) was performed. Qualitative color SW elastographic stiffness was assessed independently. Nine hundred thirty-nine masses were analyzable; 102 BI-RADS category 2 masses were assumed to be benign; reference standard was available for 837 category 3 or higher lesions. Considering BI-RADS category 4a or higher as test positive for malignancy, effect of SW elastographic features on area under the receiver operating characteristic curve (AUC), sensitivity, and specificity after reclassifying category 3 and 4a masses was determined. Median participant age was 50 years; 289 of 939 (30.8%) masses were malignant (median mass size, 12 mm). B-mode BI-RADS AUC was 0.950; eight of 303 (2.6%) BI-RADS category 3 masses, 18 of 193 (9.3%) category 4a lesions, 41 of 97 (42%) category 4b lesions, 42 of 57 (74%) category 4c lesions, and 180 of 187 (96.3%) category 5 lesions were malignant. By using visual color stiffness to selectively upgrade category 3 and lack of stiffness to downgrade category 4a masses, specificity improved from 61.1% (397 of 650) to 78.5% (510 of 650) (P<.001); AUC increased to 0.962 (P=.005). Oval shape on SW elastographic images and quantitative maximum elasticity of 80 kPa (5.2 m/sec) or less improved specificity (69.4% [451 of 650] and 77.4% [503 of 650], P<.001 for both), without significant improvement in sensitivity or AUC. Adding SW elastographic features to BI-RADS feature analysis improved specificity of breast US mass assessment without loss of sensitivity. © RSNA, 2012
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            Prognostic factors in breast cancer. College of American Pathologists Consensus Statement 1999.

            Under the auspices of the College of American Pathologists, a multidisciplinary group of clinicians, pathologists, and statisticians considered prognostic and predictive factors in breast cancer and stratified them into categories reflecting the strength of published evidence. Factors were ranked according to previously established College of American Pathologists categorical rankings: category I, factors proven to be of prognostic import and useful in clinical patient management; category II, factors that had been extensively studied biologically and clinically, but whose import remains to be validated in statistically robust studies; and category III, all other factors not sufficiently studied to demonstrate their prognostic value. Factors in categories I and II were considered with respect to variations in methods of analysis, interpretation of findings, reporting of data, and statistical evaluation. For each factor, detailed recommendations for improvement were made. Recommendations were based on the following aims: (1) increasing uniformity and completeness of pathologic evaluation of tumor specimens, (2) enhancing the quality of data collected about existing prognostic factors, and (3) improving patient care. Factors ranked in category I included TNM staging information, histologic grade, histologic type, mitotic figure counts, and hormone receptor status. Category II factors included c-erbB-2 (Her2-neu), proliferation markers, lymphatic and vascular channel invasion, and p53. Factors in category III included DNA ploidy analysis, microvessel density, epidermal growth factor receptor, transforming growth factor-alpha, bcl-2, pS2, and cathepsin D. This report constitutes a detailed outline of the findings and recommendations of the consensus conference group, organized according to structural guidelines as defined.
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              An absence of stromal caveolin-1 expression predicts early tumor recurrence and poor clinical outcome in human breast cancers.

              Previously, we showed that caveolin-1 (Cav-1) expression is down-regulated in human breast cancer-associated fibroblasts. However, it remains unknown whether loss of Cav-1 occurs in the breast tumor stroma in vivo. Here, we immunostained a well-annotated breast cancer tissue microarray with antibodies against Cav-1 and scored its stromal expression. An absence of stromal Cav-1 was associated with early disease recurrence, advanced tumor stage, and lymph node metastasis, resulting in a 3.6-fold reduction in progression-free survival. When tamoxifen-treated patients were selected, an absence of stromal Cav-1 was a strong predictor of poor clinical outcome, suggestive of tamoxifen resistance. Interestingly, in lymph node-positive patients, an absence of stromal Cav-1 predicted an 11.5-fold reduction in 5-year progression-free survival. Clinical outcomes among patients positive for HER2, and patients triple-negative for estrogen receptor, progesterone receptor and HER2, were also strictly dependent on stromal Cav-1 levels. When our results were adjusted for tumor and nodal staging, an absence of stromal Cav-1 remained an independent predictor of poor outcome. Thus, stromal Cav-1 expression can be used to stratify human breast cancer patients into low-risk and high-risk groups, and to predict their risk of early disease recurrence at diagnosis. Based on related mechanistic studies, we suggest that breast cancer patients lacking stromal Cav-1 might benefit from anti-angiogenic therapy in addition to standard regimens. We conclude that Cav-1 functions as a tumor suppressor in the stromal microenvironment.
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                Author and article information

                Contributors
                +44-0-1382-383014 , a.z.evans@dundee.ac.uk
                Journal
                Breast Cancer Res Treat
                Breast Cancer Res. Treat
                Breast Cancer Research and Treatment
                Springer US (Boston )
                0167-6806
                1573-7217
                4 December 2013
                4 December 2013
                2014
                : 143
                : 1
                : 153-157
                Affiliations
                [ ]Dundee Cancer Centre, Ninewells Hospital & Medical School, Mailbox 4, Dundee, DD1 9SY UK
                [ ]Division of Population Health Sciences, Ninewells Hospital & Medical School, Dundee, DD1 9SY UK
                Article
                2747
                10.1007/s10549-013-2747-z
                4363519
                24305976
                45dbba61-631b-4e56-9edc-3fc837b1c706
                © Springer Science+Business Media New York 2013
                History
                : 21 August 2013
                : 21 October 2013
                Categories
                Clinical Trial
                Custom metadata
                © Springer Science+Business Media New York 2014

                Oncology & Radiotherapy
                breast cancer,prognosis,elastography,metastasis
                Oncology & Radiotherapy
                breast cancer, prognosis, elastography, metastasis

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