Multimodality Imaging of Triple Receptor–Negative Tumors With Mammography, Ultrasound, and MRI

Dogan, Basak E.; González-Angulo, Ana M.; Gilcrease, Michael Z.; Dryden, Mark J.; Yang, Wei Tse

doi:10.2214/ajr.09.2355

Cited by 165 publications

(150 citation statements)

References 12 publications

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“…Further studies would be required. Dogan et al (2010) investigated the features of TNBC by mammography, ultrasound and magnetic resonance imaging (MRI). TNBC were visualized by MRI in all cases, and in 91% and 93% of cases by mammography and ultrasound respectively which the percentages of conceal cases were higher than our study.…”

Section: Discussionmentioning

confidence: 99%

Associations Between Mammography and Ultrasound Imaging Features and Molecular Characteristics of Triple-negative Breast Cancer

Li¹,

Zhao²,

Dai³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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Section: Discussionmentioning

confidence: 99%

Associations Between Mammography and Ultrasound Imaging Features and Molecular Characteristics of Triple-negative Breast Cancer

Li¹,

Zhao²,

Dai³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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“…Some studies also have discussed the features of triple-negative breast cancers (negativity of ER, PR, and HER2) (Dogan et al, 2010;Ko et al, 2010;Dogan et al, 2012;Krizmanich et al, 2012;Wojcinski et al, 2012;Li et al, 2014). However, correlations between ER, PR, HER2 and ultrasound findings in previous studies were varied and none had calculated the logistic regression model for reliable identification of molecular status (Kim et al, 2008;Wang et al, 2008;Au et al, 2009;Dogan et al, 2010;Ko et al, 2010a;2010b;Dogan et al, 2012;Krizmanich et al, 2012;Wojcinski et al, 2012;Irshad et al, 2013). The aim of this retrospective study was thus to 1)evaluating the correlation of images findings with the corresponding molecular features, 2)characterizing the various ultrasound features in breast cancer by using logistic regression models, in order to identify the factors that might help in predicting the status of molecular.…”

Section: Ultrasound Utility For Predicting Biological Behavior Of Invmentioning

confidence: 99%

Ultrasound Utility for Predicting Biological Behavior of Invasive Ductal Breast Cancers

Zhang

Liu²,

Jiang³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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Asian Pac J Cancer Prev, 15 (19), 8057-8062 IntroductionDetermination of the molecular status of invasive breast cancer is useful as a prognostic and predictive factor, and it has become standard practice in the management of breast cancer because estrogen receptor (ER) and human epidermal growth factor receptor2 (HER2) positivity predict response to endocrine therapy or targeted therapy with monoclonal antibodies directed against HER2 (Bauer et al., 2007;Doreen et al., 2011). If it is possible to predict molecular status on the basis of imaging characteristics, it could assist in both pretreatment planning and prognosis, as well as add to our understanding of the biologic behavior of this disease.Breast ultrasound has gained widespread acceptance as an adjunct to mammography in diagnosis of evaluating clinical or radiological suspected abnormalities (Gordon et al., 1995;Rizzatto et al., 2001). Stavros et al. reported that it has high sensitivity (98.4%) and negative predictive (99.5%) value for diagnosing breast cancers (Stavros et al., 1995). Ultrasound (US), with its merits of safety and low cost, is becoming a preferred method for both physicians and patients. Hence, more attention is needed toward US imaging to determine whether certain type of tumor biologic factors can be predicted from imaging appearances.A few studies have looked into correlation between

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“…TN breast cancers are less likely than other subtypes to manifest as microcalcifications on mammographic images, and they show circumscribed margins on US scans more often, which are features that may delay the diagnosis of cancer with these traditional imaging methods (9,10). DCE MR imaging has high sensitivity for cases of TN breast cancer that are occult at mammographic imaging or US, and certain features of DCE MR imaging have high specificity for TN breast cancer compared with cancers that are estrogen receptorpositive, progesterone receptor-positive, and HER2-negative (11,12). TN breast cancer demonstrates higher SUV max than other subtypes, and PET/ CT can help identify TN breast cancer patients at increased risk of early relapse (13,14).…”

Section: Patients and Study Protocolmentioning

confidence: 99%

“…To correct for this phenomenon, known as partial volume error, we used a previously described (16) mathematical technique by using calibration measurements from each PET scanner as a function of object size. A body phantom that contained spheres of varying diameters (8,12,16, and 25 mm) and filled with known concentrations of FDG was placed in each PET/ CT scanner. A transmission PET image was acquired from which the calculated activity of each sphere was determined and compared with known activity.…”

Section: Pet/ct Imaging Interpretationmentioning

confidence: 99%

Triple-Negative and Non–Triple-Negative Invasive Breast Cancer: Association between MR and Fluorine 18 Fluorodeoxyglucose PET Imaging

Bolouri

Elias²,

Wisner³

et al. 2013

Radiology

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Purpose:To assess the relationship between parameters measured on dynamic contrast material-enhanced (DCE) magnetic resonance (MR) imaging and fluorine 18 fluorodeoxyglucose (FDG) positron emission tomography (PET)/computed tomography (CT) in primary invasive breast cancer. Materials and Methods:This HIPAA-compliant study was a retrospective review of medical records and therefore approved by the institutional review board without the requirement for informed consent. Patients with a diagnosis of invasive breast cancer from January 2005 through December 2009 who underwent both DCE MR imaging and FDG PET/CT before treatment initiation were retrospectively identified. Fractional volumes were measured for ranges of signal enhancement ratio (SER) values from DCE MR imaging data and compared with maximum standardized uptake values (SUV max ) from FDG PET/CT data. Linear regression analysis was performed to clarify the relationship between SER and SUV max , adjusting for tumor size, pathologic grade, and receptor status. Results:Analyzed were 117 invasive breast cancers in 117 patients. Overall, a higher percentage of high washout kinetics was positively associated with SUV max (1.57% increase in SUV max per 1% increase in high washout; P = .020), and a higher percentage of low plateau kinetics was negatively associated with SUV max (1.19% decrease in SUV max per 1% increase in low plateau; P = .003). These relationships were strongest among triple-negative (TN) tumors (4.34% increase in SUV max per 1% increase in high washout and 2.65% decrease in SUV max per 1% increase in low plateau; P = .018 and .004, respectively). Conclusion:In invasive breast carcinoma, there is a positive relationship between the percentage of high washout and SUV max and a negative relationship between the percentage of low plateau and SUV max . These results are stronger in TN tumors.q RSNA, 2013 Supplemental material: http://radiology.rsna.org/lookup /suppl

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Multimodality Imaging of Triple Receptor–Negative Tumors With Mammography, Ultrasound, and MRI

Cited by 165 publications

References 12 publications

Associations Between Mammography and Ultrasound Imaging Features and Molecular Characteristics of Triple-negative Breast Cancer

Associations Between Mammography and Ultrasound Imaging Features and Molecular Characteristics of Triple-negative Breast Cancer

Ultrasound Utility for Predicting Biological Behavior of Invasive Ductal Breast Cancers

Triple-Negative and Non–Triple-Negative Invasive Breast Cancer: Association between MR and Fluorine 18 Fluorodeoxyglucose PET Imaging

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