Predictive values of BI-RADS ® magnetic resonance imaging (MRI) in the detection of breast ductal carcinoma in situ (DCIS)

Badan, Gustavo Machado; Piato, Sebastião; Junior, Decio Roveda; Fleury, Eduardo de Faria Castro

doi:10.1016/j.ejrad.2016.07.010

Cited by 10 publications

(5 citation statements)

References 40 publications

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“…DCIS is a type of non-invasive malignant neoplasm of the breast, currently its management includes surgical removal, either by mastectomy or breast conserving surgery (BCS) that minimising the volume of tissue resected leads to better cosmetic results, margin positivity is an important risk factor for recurrent disease post BCS (18) .…”

Section: Discussionmentioning

confidence: 99%

Sonomammography versus MRI in Evaluation of BI-RADS III Breast Lesion

Helmy

2018

The Egyptian Journal of Hospital Medicine

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Background: Breast cancer is sometimes found after symptoms appear, but many women with breast cancer have no symptoms. This is why regular breast cancer screening is so important, early detection and treatment are the most important strategies to prevent deaths from breast cancer. Breast cancer that's found early, when it's small and has not spread, is easier to treat successfully, regular screening tests are the most reliable way for early detection. Objective: to high light the role of sonomammography versus Magnetic Resonance Imaging (MRI) in evaluation of BI-RADS III (Breast Imaging Reporting and Data System) breast lesion. Patients and Methods: in this retrospective study, 28 patients with BI-RADS III breast lesion were assessed by Digital mammography (DM), Ultrasound (US) and MRI. The resultant images were correlated with reports of the pathology specimens. Results: histopathological analysis was done for each lesion with 13 lesions (46.43%) proved to be benign, 15 lesions (53.57%) proved to be malignant. The sensitivity, specificity, Positive predictive value (PPV) and Negative predictive value (NPV) of mammography (MG), ultrasonography and MRI in BI-RADS III breast lesions were calculated. Conclusion: BI-RADS III lesions group is a very critical group to deal with as it exhibits characters of both malignant and benign lesions. According to our study Dynamic contrast enhanced-Magnetic Resonance Imaging. (DCE-MRI) should go hand by hand with sonomammogaphy especially in BI-RADS III patients group, patients with benign looking lesion six months follow up is recommended and those with malignant looking lesion biopsy should be done.

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Section: Discussionmentioning

confidence: 99%

Sonomammography versus MRI in Evaluation of BI-RADS III Breast Lesion

Helmy

2018

The Egyptian Journal of Hospital Medicine

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“…Another study identified the Bi-RADS categories according to the MRI parameters in the detection of malignant tumors. It was observed a VPN equal to 100% for categories 2 and 3 and notably 98.04% for category 1, showing that there is still a possibility of FN occurring in this method [10] .…”

Section: Discussionmentioning

confidence: 85%

“…Category 4 presented a PPV of 87.5% for malignancy, which reinforces the recommendation of histological correlation as the only option, while category 5 exhibited a PPV equal to 100% for malignancy, alerting for high suspicion of invasive carcinomas when evaluating the diagnosis of malignant neoplasm. It is necessary to keep the histopathological type in mind and interpret the imaging findings more comprehensively [10,11] .…”

Section: Discussionmentioning

confidence: 99%

Breast Injuries Classified By Bi-Rads By Magnetic Resonance And Confirmed By Biopsy

Carvalho¹,

Melo²,

Dutra³

et al. 2020

ijirms

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Objective: To evaluate the malignancy or benignity of breast lesions through MRI, and its confirmation through biopsy. Materials and methods: Retrospective unicentric study. 166 patients were selected, however only 72 were included in the study, as their exams had a histopathological report compatible with a specific laboratory, responsible for analyzing the biopsies. Patients underwent MRI for breast investigation with injection of paramagnetic contrast medium, submitted to biopsy and with histopathological results. All participants were categorized by Bi-RADS through MRI exams. For statistical analysis, the Wilcoxon, Pearson's correlation and Chi-square tests were used. The confidence level used in the analyses was 95%. Results: The most frequent histological type was Invasive Ductal Carcinoma. The BI-RADS category with the highest occurrence was 2 (two). According to the analysis of malignancy given by histopathological findings, 56.9% (41 patients) of the lesions were malignant and 43.1% (31) were benign. When we analyzed the frequency of BI-RADS, in the categories with possibility of malignancy, we observed a distribution, BI-RADS 3 (three) with 8.3% (6 patients), BI-RADS 4 (four) with 9.7% ( 7 patients) and BI-RADS 5 (five) with 15.3% (11 patients), adding up to a total of 33.3% of potentially malignant lesions. Conclusion: It was observed in this study that the correlation between BI-RADS and neoplasia in the study population was weak, being categorized with a probably benign BI-RADS result was not a factor that ruled out the occurrence of cancer. Biopsy and histopathological analysis proved to be useful, demonstrating the importance of always performing it, and correlated with image findings more comprehensively.

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“…Jeffers et al4 predicted breast cancer risks by BI-RADS classification, with an AUC of 0.68. Evans et al13 reported that the sensitivity and specificity of ultrasound-based BI-RADS scores to identify benign and malignant breast tumors were 0.95 and 0.69, respectively; however, some studies evaluating the prognostic value of BI-RADS classification reported that it was a negative prognostic indicator 11,48. To evaluate differences related to the ethnicity of patients enrolled in the study and variation related to ultrasonography itself, we determined the cutoff value for ultrasound-based BI-RADS scores and PD-1 mRNA expression using ROC curves.…”

Section: Discussionmentioning

confidence: 99%

Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients

Fang

Shao

et al. 2018

TCRM

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IntroductionThis study explored the value of measuring programmed death 1 (PD-1) in peripheral blood, combined with breast ultrasound using the Breast Imaging Reporting and Data System (BI-RADS) classification, for differentiation between benign and malignant breast tumors.Materials and methodsWe enrolled 113 patients with breast cancer and 66 patients with benign breast tumors who were admitted to Hangzhou First People’s Hospital from September 2014 to August 2017. The mRNA level of PD-1 was detected by quantitative real-time polymerase chain reaction.ResultsThe mRNA levels of PD-1 were significantly higher in the peripheral blood of patients with breast cancer than those in patients with benign breast tumors. The diagnostic sensitivity of PD-1 mRNA expression was 0.805, the specificity was 0.788, and the area under the curve (AUC) was 0.848 (P < 0.001); the sensitivity of breast ultrasound-based BI-RADS classification was 0.752, the specificity was 0.909, and the AUC was 0.906 (P < 0.001); and the combined sensitivity, specificity, and AUC of the two assays were 0.920, 0.879, and 0.938, respectively (P < 0.001). Progesterone receptor-positive breast cancer patients exhibited high levels of PD-1 expression (P < 0.001).ConclusionThis study suggests that the measurement of PD-1 combined with breast ultrasound-based BI-RADS classification represents a significant improvement for breast cancer diagnosis compared with diagnoses based on either method alone.

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Predictive values of BI-RADS ® magnetic resonance imaging (MRI) in the detection of breast ductal carcinoma in situ (DCIS)

Cited by 10 publications

References 40 publications

Sonomammography versus MRI in Evaluation of BI-RADS III Breast Lesion

Sonomammography versus MRI in Evaluation of BI-RADS III Breast Lesion

Breast Injuries Classified By Bi-Rads By Magnetic Resonance And Confirmed By Biopsy

Diagnostic value of PD-1 mRNA expression combined with breast ultrasound in breast cancer patients

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