Breast MRI, digital mammography and breast tomosynthesis: comparison of three methods for early detection of breast cancer

Roganovic, Dragana; Djilas, Dragana; Vujnović, Saša; Pavić, Dag; Stojanov, Dragan

doi:10.17305/bjbms.2015.616

Cited by 59 publications

(51 citation statements)

References 15 publications

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“…Some of the screening technologies that have been adopted include digital mammography, computer‐aided detection, breast MRI, and breast tomosynthesis. Each of these modalities holds the promise to improve screening performance for some women, but research is required at the population level and within the context of clinical practice to determine the conditions under which these modalities maximize benefit and minimize harm …”

Section: Discussionmentioning

confidence: 99%

“…Each of these modalities holds the promise to improve screening performance for some women, but research is required at the population level and within the context of clinical practice to determine the conditions under which these modalities maximize benefit and minimize harm. 4 The primary benefit of screening with mammography is a decrease in breast cancer mortality. A study conducted by Myers et al in 2015 and meta-analysis done by Marmot et al concluded that mammography was estimated to reduce the risk of mortality by approximately 20%.…”

Section: Discussionmentioning

confidence: 99%

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Improving breast cancer screening rates in a primary care setting

Jain

Guan²,

Faisaluddin

et al. 2019

Breast J

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Biannual mammogram has been recommended for all women aged 50‐74 years by USPSTF. Our aim was to improve the screening rates of biannual mammogram among women aged 50‐74 years in a primary care clinic. Medical records were reviewed. Patients who were not up‐to‐date with their breast cancer screening, were contacted by telephone or a letter was sent. Our screening rate was found to be 64.7%. After 6 months, 38.5% had undergone mammograms after our intervention. This improved the compliance rate from 64.7% to 76.6%. Hence discussion of breast cancer screening status between a patient and provider can significantly increase compliance.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Improving breast cancer screening rates in a primary care setting

Jain

Guan²,

Faisaluddin

et al. 2019

Breast J

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show abstract

“…In clinical practice, many screening strategies have been widely used, such as mammography, breast magnetic resonance imaging (MRI) and ultrasound imaging. 7,8 However, these strategies are far from being perfect because of over-diagnosis, false-positive, inconsistent results and potential radiation injury. [9][10][11] Core needle aspiration can help establish the diagnosis, but the procedure is invasive and not suitable for routine use.…”

Section: Introductionmentioning

confidence: 99%

A five‐miRNA panel in plasma was identified for breast cancer diagnosis

Zou

Xia

et al. 2019

Cancer Medicine

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Breast cancer (BC) is one of the most common cancers in females. Since early detection can bring prognosis benefit, discovery of novel noninvasive biomarkers for BC diagnosis is in urgent need. In this four‐phase study, we profiled miRNA expression in plasma samples from a total of 257 BC patients and 257 normal controls (NCs). Exiqon miRNA qPCR panel was used to select candidate miRNAs in the screening phase which were further analyzed using qRT‐PCR in the following training, testing and external validation phases. Finally, we identified five plasma miRNAs (let‐7b‐5p, miR‐122‐5p, miR‐146b‐5p, miR‐210‐3p and miR‐215‐5p) whose expression levels were significantly different between BC patients and NCs. A 5‐miRNA panel in plasma with high sensitivity and specificity was then constructed to detect BC. The areas under the receiver‐operating characteristic curves (AUCs) of the panel were 0.683, 0.966, 0.978 for the training, testing and external validation sets, respectively. Expression of the identified miRNAs was further analyzed among 32 pairs of BC tissue and the adjacent normal tissue samples as well as plasma‐derived exosome samples from 32 BC patients vs 32 NCs. Let‐7b‐5p was contrarily down‐regulated in BC tissue. In exosomes samples, only miR‐122‐5p was significantly up‐regulated as in plasma for BC patients. In conclusion, we identified a 5‐miRNA plasma panel (let‐7b‐5p, miR‐122‐5p, miR‐146b‐5p, miR‐210‐3p and miR‐215‐5p) that could serve as a promising biomarker for BC detection.

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“…By combining information from different projections, DBT improves the differentiation of the adjacent anatomical structures, alleviating the superimposition effect [13]. More recent studies indicate about 30% increased DBT sensitivity and specificity compared with DM [14], with a 40% reduction in callback in screening [15-18]. DBT has been implemented in Kuwait during the last 5 years.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Digital Breast Tomosynthesis and Digital Mammography for Detection of Breast Cancer in Kuwaiti Women

et al. 2018

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Objective: To investigate the sensitivity and specificity of digital mammography (DM) and digital breast tomosynthesis (DBT) for the detection of breast cancer in comparison to histopathology findings. Subjects and Methods: We included 65 breast lesions in 58 women, each detected by two diagnostic mammography techniques – DM and DBT using Senographe Essential (GE Healthcare, Buc, France) – and subsequently confirmed by histopathology. The Breast Imaging Reporting and Data System was used for characterizing the lesions. Results: The average age of women was 48.3 years (range 26–81 years). There were 34 malignant and 31 benign breast lesions. The sensitivity of DM and DBT was 73.5 and 100%, respectively, while the specificity was 67.7 and 94%, respectively. Receiver operating characteristic curve analysis showed an overall diagnostic advantage of DBT over DM, with a significant difference between DBT and DM (p < 0.001). By performing Cohen’s kappa test, we found that there was a strong level of agreement according to Altman guidelines between DBT and histopathology findings (0.97), but a weak agreement between DM and histopathology findings (0.47). Conclusion: DBT improves the clinical accuracy of mammography by increasing both sensitivity and specificity. We believe that this improvement is due to improved image visibility and quality. These results could be of interest to health care institutions as they may impact their decision on whether to upgrade to DBT not only for diagnosis, but also for screening.

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Breast MRI, digital mammography and breast tomosynthesis: comparison of three methods for early detection of breast cancer

Cited by 59 publications

References 15 publications

Improving breast cancer screening rates in a primary care setting

Improving breast cancer screening rates in a primary care setting

A five‐miRNA panel in plasma was identified for breast cancer diagnosis

Comparison of Digital Breast Tomosynthesis and Digital Mammography for Detection of Breast Cancer in Kuwaiti Women

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