Imaging features of breast cancers on digital breast tomosynthesis according to molecular subtype: association with breast cancer detection

Lee, Sang Ho; Chang, Jung Min; Shin, Sung Ui; Chu, A Jung; Yi, Ann; Cho, Nariya; Moon, Woo Kyung

doi:10.1259/bjr.20170470

Cited by 15 publications

(6 citation statements)

References 29 publications

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“…Cen et al [ 15 ] stated that Her-2 enriched tumors were more expected to have heterogeneous and pleomorphic microcalcifications on mammogram. Likewise, Elias et al [ 13 ] and Lee et al [ 16 ] found that fine, pleomorphic or fine linear branching calcifications are the most characteristics findings for Her-2 +ve cancers. It is noteworthy that Her-2 +ve tumors belong to the subgroup that can be missed with ultrasound because of the presence of microcalcifications only [ 5 ].…”

Section: Discussionmentioning

confidence: 97%

Predicting Molecular Subtypes of Breast Cancer with Mammography and Ultrasound Findings: Introduction of Sono-Mammometry Score

Shaikh

Rasheed

2021

Radiology Research and Practice

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We studied the correlation of sonographic and digital mammographic features with molecular classification of breast cancer. Imaging features from 313 patients with preliminary ultrasound and digital mammogram between November 2017 and May 2020 were compared with histopathology and immunohistochemical analysis for the prediction of molecular classification of breast cancer. We also devised a score called “sono-mammometry” score consisting of few simple imaging features which can easily be performed in outpatient settings. We studied that non-triple-negative breast cancers are predominantly hypoechoic and strongly correlate with the presence of irregular spiculated margins along with peripheral echogenic halo, posterior shadowing, and microcalcifications, while there is considerable variation in imaging features of TNBC as some of its imaging features overlap with those of typical benign tumors. Although imaging characteristics are helpful in the prediction of molecular classification, the prognostication value of these imaging features is still weak. There is considerable variation in imaging features which warrants vigilance towards improved diagnostic performance. To help better understand these features, our sono-mammometry score can serve as straightforward test which is assumed to be functional and productive in resource-limited settings.

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Section: Discussionmentioning

confidence: 97%

Predicting Molecular Subtypes of Breast Cancer with Mammography and Ultrasound Findings: Introduction of Sono-Mammometry Score

Shaikh

Rasheed

2021

Radiology Research and Practice

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“…Breast cancer with regular tumor shape, lack of calcifications, homogeneity, and posterior acoustic enhancement in ultrasound might be interpreted as benign tumor according to the BI-RADS classification (Breast Imaging Reporting & Data System, 2013; Ciatto et al , 2007). Mainly highly aggressive tumors, especially TNBC, can cause these misleading ultrasound and mammogram patterns (Li et al , 2018; Lee et al , 2017). This effect can be histopathologically explained by a rapid cellular proliferation with ‘pushing borders’ (Li et al , 2018).…”

Section: Discussionmentioning

confidence: 99%

Diagnostic delay in moderately/poorly differentiated breast cancer types

Elfgen

Baumgartner

Varga

et al. 2021

European Journal of Cancer Prevention

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Background Diagnostic delay of breast cancer related to the false-negative assessment of the healthcare provider leads to tumor progression and might worsen the outcome. Previous studies found some factors associated with provider-related diagnostic delay; however, tumor biology has tended not to be considered. The aim of our study was to find differences in diagnostic delay of poorly differentiated breast cancer types.Methods Data of 970 patients with newly diagnosed moderately/poorly differentiated (G2/3) breast cancer at the age ≥40 years was retrospectively analyzed regarding breast cancer type, diagnostic delay and its consequence, clinical factors and physician's assessment. Multivariate analysis was used to evaluate associated factors with diagnostic delay. ResultsWe observed a diagnostic delay in 3.8% (n = 37) of all patients. Mean delay time was 128 days, and clinically relevant tumor growth was observed in 43.2% of these cases. Delay was significantly higher in the group of triple-negative breast cancer (9.9% versus 2.7, 5.3 and 1.8% in hormonal receptor (HR)+/human epidermal growth factor receptor 2 (HER2)−, HR−/Her2+ and HR+/Her2+, respectively; P value <0.001). Age, breast density and reason for presentation were not correlated to diagnostic delay. ConclusionPatients with triple-negative breast cancer are at higher risk of receiving a false-negative assessment and experiencing a diagnostic delay. Our results emphasize the importance of a detailed consideration of clinical risk factors and provider training and suggest a broad indication for a core needle biopsy. European

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“…However, Lee et al reported that in patients undergoing DBT, despite the finding of characteristic imaging features of breast cancer per molecular subtype, cancer detectability on the DBT image was unaffected by molecular subtype of the breast cancer. 26 Table 2).…”

Section: Discussionmentioning

confidence: 99%

Detection of noncalcified breast cancer in patients with extremely dense breasts using digital breast tomosynthesis compared with full-field digital mammography

Chang

Shin

et al. 2018

The British Journal of Radiology

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Breast density-tailored screening for breast cancer in females is of great interest. 1 Breast density is a predictor of breast cancer; it reduces the sensitivity of mammography, leading to an increased risk of interval cancer in the screening population. 2,3 Several breast imaging modalities have been used as adjuncts to screening mammography in females with dense breasts, including ultrasound (US; handheld or automated), MRI, and the more recently applied digital breast tomosynthesis (DBT). DBT is an emerging technique that allows the breast to be viewed quasi-three-dimensionally, which reduces superimposition of the breast tissue. 4,5 Previous studies showed that DBT improved the accuracy of full-field digital mammography (FFDM) in screening across all breast densities by reducing the recall rates and increasing the cancer detection rates. 6-10 In addition, a recent study including females with dense breasts reported that the addition of DBT increased the sensitivity of FFDM. 11-13 To date, the effect of breast density on the diagnostic performance of DBT was evaluated based on percentage-based classification. Breast density assessed using mammography, reflects the breast composition. High breast density can comprise various breast compositions. The tumour located in the dense breast with small amount of interposed fat tissue that overlaps individual sections may result in mammographically occult cancer and even with the use of DBT. 14 Moreover, in case of the occurrence of small tumour without noticeable calcification,

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Imaging features of breast cancers on digital breast tomosynthesis according to molecular subtype: association with breast cancer detection

Cited by 15 publications

References 29 publications

Predicting Molecular Subtypes of Breast Cancer with Mammography and Ultrasound Findings: Introduction of Sono-Mammometry Score

Predicting Molecular Subtypes of Breast Cancer with Mammography and Ultrasound Findings: Introduction of Sono-Mammometry Score

Diagnostic delay in moderately/poorly differentiated breast cancer types

Detection of noncalcified breast cancer in patients with extremely dense breasts using digital breast tomosynthesis compared with full-field digital mammography

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