scholarly journals Added value of contrast-enhanced spectral mammography in symptomatic patients with dense breasts

Author(s):  
Sara Ahmed Sadek Mohamed ◽  
Sherine George Moftah ◽  
Nivine Abd El Moneim Chalabi ◽  
Mona Ali Abdel-Wahed Salem

Abstract Background Breast cancer is the most common malignancy in females around the world representing 25.1% of all cancers. The high prevalence and need for early treatment of breast malignancy highlight the importance of early and accurate diagnosis. In order to achieve this target, it is necessary to select the most appropriate modality for investigation. Early detection of breast cancer by conventional mammography tends to reduce mortality; however, it has a low sensitivity and specificity in young females with dense breasts owing to reduced contrast between a possible tumor and the surrounding breast tissue with superimposition of the glandular tissue obscuring underlying lesions. Our study included 25 patients with dense breasts presented with different breast symptoms, yet the breast lump was the most common complaint. The aim of our study is to evaluate the supplementary value of contrast-enhanced spectral mammography in the assessment of symptomatic patients with dense breasts. Results In our study, the enrolled subjects underwent both contrast-enhanced spectral mammography (CESM) and conventional full-field digital mammography (FFDM). CESM was shown to be better than FFDM in terms of sensitivity, positive predictive value, negative predictive value, and accuracy, measuring 100%, 77.8%, 100%, and 84%, compared to 56%, 75%, 46%, and 60%, respectively, yet both modalities showed low specificity, measuring 63.6% and 66.6% for CESM and FFDM, respectively. The added value of CESM was assessed in terms of ability to detect and correctly characterize the lesions in correlation to histopathological results where CESM could detect 88% of the lesions included in our study and correctly characterized 84% of the lesions; on the other side, FFDM detected only 20% of the lesions and correctly characterized 60% of the lesions. CESM changed the treatment plan to a more extensive surgery +/− neoadjuvant chemotherapy in 57% out of fourteen cases diagnosed with breast cancer emphasizing the role of CESM in assessing the extent of the disease, multicentricity, and multifocality and consequently tailoring the most appropriate treatment plan suitable for each patient. Conclusion Contrast-enhanced spectral mammography is superior to full-field digital mammography in patients with dense breasts with a significant supplementary value in detection, characterization of lesions, and tailoring the appropriate treatment plan.

QJM ◽  
2020 ◽  
Vol 113 (Supplement_1) ◽  
Author(s):  
R Abdullah ◽  
L Abdelmonem ◽  
N Nasry ◽  
M Ayoub

Abstract Background Breast cancer in women is a major public health problem throughout the world, being the second most common cancer worldwide. Sonomammography has been always recommended as the basic breast imaging modality for early detection and diagnosis of breast cancer. Some malignant tumors have been missed, specially in dense breasts, and high false-negative rate have been reported. Contrast enhanced spectral mammography is a new modality, used to depict the tumor vascularity and neoangiogenesis; a classic sign of malignant tumors. Aim of Work The purpose of this study is to determine the added value of dual energy contrast mammography to sono-mammography in the assessment of suspicious breast lesions. Patients and Methods 36 patients were included in the study, referred from outpatient clinics in private settings and from Demerdash Hospitals. Contrast enhanced spectral mammography CESM was performed by using a digital mammography unit (Seno DS; GE, Buc, France) that had been adapted to obtain two images for each view: a low-energy image (below the k edge of iodine, 33.2 keV) and a high-energy image (above the k edge of iodine) at 45 to 49 kVp. Results: CEDM versus sonomammography shows p (0.021) value less than 0.05. Also the area under the ROC curve was higher for MX+CEDM (94.4%) than that was for sonomammography (63.8%) compared to pathology analysis with 100% sensitivity, 88.2 % specificity, 90.48 %PPV and 100 % NPV in diagnosis of suspicious lesions. Conclusion The diagnostic accuracy of CEDM+ MX for the detection of breast carcinoma has proven to be superior to sonomammography alone. CEDM had a better diagnostic accuracy mainly due to improved positive and negative predictive values (Positive predictive value about 90.48, negative predictive value 100). The role of CEDM in detection of multifocal / multicentric carcinomas with particular interest for the assessment of the extent of disease specially in dense breasts is appreciated.


Breast Cancer ◽  
2016 ◽  
Vol 24 (1) ◽  
pp. 104-110 ◽  
Author(s):  
Miki Mori ◽  
Sadako Akashi-Tanaka ◽  
Satoko Suzuki ◽  
Murasaki Ikeda Daniels ◽  
Chie Watanabe ◽  
...  

Author(s):  
Rana M. Naeim ◽  
Rania A. Marouf ◽  
Merhan A. Nasr ◽  
Marwa E. Abd El-Rahman

Abstract Background Mammography has been the mainstay for the detection of breast cancer over decades. It has gradually advanced from screen film to full-field digital mammography. Tomosynthesis has evolved as advanced imaging for early diagnosis of breast lesions with a promising role in both diagnostic and screening settings, particularly in dense and treated breasts. Results This study included 90 female patients according to our inclusion criteria. All patients perform full-field digital mammography (FFDM) and digital breast tomosynthesis (DBT) and were classified according to breast density and age groups. Breast imaging reporting and data system (BI-RADS) scoring was assigned for each case. This was correlated with the final diagnosis; the diagnostic indices of mammography were a sensitivity of 64.44%, a specificity of 77.78%, a positive predictive value (PPV) 74.63%, a negative predictive value (NPV) of 68.63%, and a diagnostic accuracy of 71.11%. Diagnostic indices of DBT were a sensitivity of 100%, a specificity of 97.77%, PPV 97.78%, NPV 100%, and diagnostic accuracy of 97.7%. In patients with dense breasts American College of Radiology (ACR) (c and d), 61% of cases had changed their BIRADS scoring with the addition of tomosynthesis. Yet, in non-dense breast ACR (a and b), 45% of cases had changed BIRADS scoring with the addition of DBT to FFDM. Conclusion DBT is a promising imaging modality offering better detection and characterization of different breast abnormalities, especially in young females, and those with dense breasts with an increase of sensitivity and specificity than FFDM. This leads to a reduction in the recalled cases, negative biopsies, and assessing the efficacy of therapy as it enables improving detection of breast cancer and different breast lesions not visualized by conventional mammography


2020 ◽  
Vol 184 (3) ◽  
pp. 723-731
Author(s):  
Anna Bozzini ◽  
Luca Nicosia ◽  
Giancarlo Pruneri ◽  
Patrick Maisonneuve ◽  
Lorenza Meneghetti ◽  
...  

Abstract Purpose To compare the efficacy of contrast-enhanced spectral mammography, with ultrasound, full field digital mammography and magnetic resonance imaging in detection and size estimation of histologically proven breast tumors. Methods This open-label, single center, prospective study, included 160 dense breast women with at least one suspicious mammary lesion evaluated by ultrasound, full field digital mammography and magnetic resonance imaging in whom a mammary tumor was histologically proven after surgery performed at the European Institute of Oncology between January 2013 and December 2015. Following the complete diagnostic procedure, the patients were further investigated by contrast-enhanced spectral mammography prior to surgery. Results Overall, the detection rate of malignant breast lesions (in situ and invasive) was 93.8% (165/176) for contrast-enhanced spectral mammography, 94.4% (168/178) for ultrasound, 85.5 (147/172) for full field digital mammography and 97.7% (173/177) for magnetic resonance imaging. Radiological measurements were concordant with the post-surgical pathological measurements of the invasive tumor (i.e., within 5 mm) in: 64.6% for contrast-enhanced spectral mammography, 62.0% for ultrasound, 45.2% for full field digital mammography (p < 0.0001) and 69.9% for magnetic resonance imaging (p = 0.28); underestimated in: 17.4% for contrast-enhanced spectral mammography, 19.6% for ultrasound, 24.2% for full field digital mammography (p = 0.03) and 6.7% for magnetic resonance imaging (p = 0.0005); and overestimated in: 16.2% for contrast-enhanced spectral mammography, 16.6% for ultrasound, 16.6% for full field digital mammography and 22.7% for magnetic resonance imaging (p = 0.02). Conclusions Our data suggest that contrast-enhanced spectral mammography improves on full field digital mammography and is comparable to ultrasound and magnetic resonance imaging in terms of detection sensitivity and size estimation of malignant lesions in dense breasts.


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