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 ◽  
...  
2015 ◽  
Vol 25 (10) ◽  
pp. 2813-2820 ◽  
Author(s):  
U. C. Lalji ◽  
C. R. L. P. N. Jeukens ◽  
I. Houben ◽  
P. J. Nelemans ◽  
R. E. van Engen ◽  
...  

2017 ◽  
Vol 46 ◽  
pp. 78-84 ◽  
Author(s):  
Bhavika K. Patel ◽  
Sandra Alheli Garza ◽  
Sarah Eversman ◽  
Yania Lopez-Alvarez ◽  
Heidi Kosiorek ◽  
...  

2014 ◽  
Vol 49 (10) ◽  
pp. 659-665 ◽  
Author(s):  
Cécile R.L.P.N. Jeukens ◽  
Ulrich C. Lalji ◽  
Eduard Meijer ◽  
Betina Bakija ◽  
Robin Theunissen ◽  
...  

Cancers ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3495
Author(s):  
Jill Gluskin ◽  
Carolina Rossi Saccarelli ◽  
Daly Avendano ◽  
Maria Adele Marino ◽  
Almir G. V. Bitencourt ◽  
...  

To investigate the value of contrast-enhanced mammography (CEM) compared to full-field digital mammography (FFDM) in screening breast cancer patients after breast-conserving surgery (BCS), this Health Insurance Portability and Accountability Act-compliant, institutional review board-approved retrospective, single-institution study included 971 CEM exams in 541 asymptomatic patients treated with BCS who underwent screening CEM between January 2013 and November 2018. Histopathology, or at least a one-year follow-up, was used as the standard of reference. Twenty-one of 541 patients (3.9%) were diagnosed with ipsi- or contralateral breast cancer: six (28.6%) cancers were seen with low-energy images (equivalent to FFDM), an additional nine (42.9%) cancers were detected only on iodine (contrast-enhanced) images, and six interval cancers were identified within 365 days of a negative screening CEM. Of the 10 ipsilateral cancers detected on CEM, four were detected on low-energy images (40%). Of the five contralateral cancers detected on CEM, two were detected on low-energy images (40%). Overall, the cancer detection rate (CDR) for CEM was 15.4/1000 (15/971), and the positive predictive value (PPV3) of the biopsies performed was 42.9% (15/35). For findings seen on low-energy images, with or without contrast, the CDR was 6.2/1000 (6/971), and the PPV3 of the biopsies performed was 37.5% (6/16). In the post-BCS screening setting, CEM has a higher CDR than FFDM.


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

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.


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.


2021 ◽  
Author(s):  
Lidewij Neeter ◽  
Frank Raat ◽  
Stephanie Meens-Koreman ◽  
Rogier van Stiphout ◽  
Steffie Timmermans ◽  
...  

Abstract Contrast-enhanced mammography (CEM) has shown to be superior to full-field digital mammography (FFDM), but current results are dominated by studies performed on systems by one vendor. Information on diagnostic accuracy of other CEM systems is limited. Therefore, we aimed to evaluate the diagnostic performance of CEM on an alternative vendor’s system.We included all patients who underwent CEM in one hospital in 2019, except those with missing data or in whom CEM was used as response monitoring tool. Three experienced breast radiologists scored the low-energy images using the BI-RADS classification. Next, the complete CEM exams were scored similarly. Histopathological results or a minimum of one year follow-up were used as reference standard. Diagnostic performance and AUC were calculated and compared between low-energy images and the complete CEM examination , for all readers independently as well as combined. Breast cancer was diagnosed in 23% of the patients (35/152). Compared to low-energy images, overall CEM sensitivity increased from 74.3% to 87.6% (p<0.0001), specificity from 87.8% to 94.6% (p=0.0146). AUC increased from 0.872 to 0.957 (p=0.0001). Performing CEM on the system tested, showed that, similar to earlier studies mainly performed on another vendor’s systems, both sensitivity and specificity improved when compared to FFDM.


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