Diagnostic accuracy of contrast-enhanced spectral mammography in comparison to conventional full-field digital mammography in a population of women with dense breasts

Breast Cancer ◽  
2016 ◽  
Vol 24 (1) ◽  
pp. 104-110 ◽  
Author(s):  
Miki Mori ◽  
Sadako Akashi-Tanaka ◽  
Satoko Suzuki ◽  
Murasaki Ikeda Daniels ◽  
Chie Watanabe ◽  
...  
Keyword(s):  
Diagnostic Accuracy ◽  
Digital Mammography ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography ◽  
Contrast Enhanced

scholarly journals Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Rana M. Naeim ◽  
Rania A. Marouf ◽  
Merhan A. Nasr ◽  
Marwa E. Abd El-Rahman
Keyword(s):  
Breast Cancer ◽  
Diagnostic Accuracy ◽  
Digital Mammography ◽  
Digital Breast Tomosynthesis ◽  
Breast Lesions ◽  
Breast Tomosynthesis ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography ◽  
Diagnostic Indices

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

scholarly journals Clinical performance of contrast-enhanced spectral mammography in pre-surgical evaluation of breast malignant lesions in dense breasts: a single center study

2020 ◽  
Vol 184 (3) ◽  
pp. 723-731
Author(s):  
Anna Bozzini ◽  
Luca Nicosia ◽  
Giancarlo Pruneri ◽  
Patrick Maisonneuve ◽  
Lorenza Meneghetti ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Digital Mammography ◽  
Size Estimation ◽  
Resonance Imaging ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography ◽  
Contrast Enhanced ◽  
Malignant Lesions

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.

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

2021 ◽  
Vol 52 (1) ◽  
Author(s):  
Sara Ahmed Sadek Mohamed ◽  
Sherine George Moftah ◽  
Nivine Abd El Moneim Chalabi ◽  
Mona Ali Abdel-Wahed Salem
Keyword(s):  
Breast Cancer ◽  
Digital Mammography ◽  
Predictive Value ◽  
Treatment Plan ◽  
Added Value ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography ◽  
Appropriate Treatment ◽  
Contrast Enhanced

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.

Assessing tumor extent on contrast-enhanced spectral mammography versus full-field digital mammography and ultrasound

2017 ◽  
Vol 46 ◽  
pp. 78-84 ◽  
Author(s):  
Bhavika K. Patel ◽  
Sandra Alheli Garza ◽  
Sarah Eversman ◽  
Yania Lopez-Alvarez ◽  
Heidi Kosiorek ◽  
...  
Keyword(s):  
Digital Mammography ◽  
Full Field ◽  
Full Field Digital Mammography ◽  
Contrast Enhanced ◽  
Tumor Extent

Radiation Exposure of Contrast-Enhanced Spectral Mammography Compared With Full-Field Digital Mammography

2014 ◽  
Vol 49 (10) ◽  
pp. 659-665 ◽  
Author(s):  
Cécile R.L.P.N. Jeukens ◽  
Ulrich C. Lalji ◽  
Eduard Meijer ◽  
Betina Bakija ◽  
Robin Theunissen ◽  
...  
Keyword(s):  
Radiation Exposure ◽  
Digital Mammography ◽  
Full Field ◽  
Full Field Digital Mammography ◽  
Contrast Enhanced

Low energy mammogram obtained in contrast-enhanced digital mammography (CEDM) is comparable to routine full-field digital mammography (FFDM)

2014 ◽  
Vol 83 (8) ◽  
pp. 1350-1355 ◽  
Author(s):  
Mark A. Francescone ◽  
Maxine S. Jochelson ◽  
D. David Dershaw ◽  
Janice S. Sung ◽  
Mary C. Hughes ◽  
...  
Keyword(s):  
Digital Mammography ◽  
Low Energy ◽  
Full Field ◽  
Full Field Digital Mammography ◽  
Contrast Enhanced

scholarly journals PERFORMANCE OF A CAD SCHEME APPLIED TO IMAGES OBTAINED FROM MAMMOGRAPHIC FILM DIGITIZATION AND FULL-FIELD DIGITAL MAMMOGRAPHY (FFDM)

2012 ◽  
Author(s):  
Michele Fúlvia Angelo ◽  
Homero Schiabel ◽  
Ana Claudia Patrocinio
Keyword(s):  
Digital Mammography ◽  
False Positive ◽  
Image Acquisition ◽  
False Positives ◽  
True Positive ◽  
Dicom Standard ◽  
Watershed Transform ◽  
Full Field ◽  
Dense Breasts ◽  
Full Field Digital Mammography

This work has as purpose to compare the effects of a CAD scheme applied to digitized and direct digital mamograms sets. A routine designed to be applied to mammogram in DICOM standard was developed and a schema based on the Watershed Transform to masses detection was applied to 252 ROIs from 130 digitized mammograms, resulting in 92% of true positive and 10% of false positives. For clustered microcalcifications detection, another procedure was applied to 165 ROIs from 120 mammograms, resulting in 93% of true positive and 16% of false positive. By using the same procedures to 154 digital mammograms obtained from FFDM, the rates have shown a little decrease in the scheme performance: 89% of true positive and 16% of false positive for masses detection; 90% of true positive and 27% of false positive for clusters detection. Although the tests with digital mammograms have been carried with a smaller number of images and different cases compared to the digitized ones, including several dense breasts images, the results can be considered comparable, mainly for clustered microcalcifications detection with a difference of only 3% between the sensibility rates for the both images sets. Another important feature affecting these results is the contrast difference between the two images set. This implies the need of  extensive investigations not only with a larger number of cases from FFDM but also on the parameters related to its image acquisition as well as to its corresponding processing

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