Editorial Comment: Highlighting the Utility of Contrast-Enhanced Digital Mammography as a Problem-Solving Tool

2021 ◽  
Author(s):  
Vivien Richter
Keyword(s):  
Problem Solving ◽  
Editorial Comment ◽  
Digital Mammography ◽  
Contrast Enhanced

scholarly journals Role of dual-energy contrast-enhanced digital mammography as a problem-solving tool in dense breasts: A case report

2013 ◽  
Vol 23 (3) ◽  
pp. 219 ◽  
Author(s):  
Teena Sleeba ◽  
Anand Subapradha ◽  
Madan Ramachandran ◽  
Murali Krishnaswami
Keyword(s):  
Case Report ◽  
Problem Solving ◽  
Digital Mammography ◽  
Dual Energy ◽  
Dense Breasts ◽  
Contrast Enhanced

Cancer Conspicuity on Low-energy Images of Contrast-enhanced Mammography Compared With 2D Mammography

2021 ◽  
Author(s):  
Christina Konstantopoulos ◽  
Tejas S Mehta ◽  
Alexander Brook ◽  
Vandana Dialani ◽  
Rashmi Mehta ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Analysis Of Variance ◽  
Digital Mammography ◽  
Regions Of Interest ◽  
Low Energy ◽  
Wilcoxon Test ◽  
Digital Mammogram ◽  
Contrast Enhanced ◽  
Improved Performance ◽  
2D Images

Abstract Objective Low-energy (LE) images of contrast-enhanced mammography (CEM) have been shown to be noninferior to digital mammography. However, our experience is that LE images are superior to 2D mammography. Our purpose was to compare cancer appearance on LE to 2D images. Methods In this IRB-approved retrospective study, seven breast radiologists evaluated 40 biopsy-proven cancer cases on craniocaudal (CC) and mediolateral oblique (MLO) LE images and recent 2D images for cancer visibility, confidence in margins, and conspicuity of findings using a Likert scale. Objective measurements were performed using contrast-to-noise ratio (CNR) estimated from regions of interest placed on tumor and background parenchyma. Reader agreement was evaluated using Fleiss kappa. Per-reader comparisons were performed using Wilcoxon test and overall comparisons used three-way analysis of variance. Results Low-energy images showed improved performance for visibility (CC LE 4.0 vs 2D 3.5, P < 0.001 and MLO LE 3.7 vs 2D 3.5, P = 0.01), confidence in margins (CC LE 3.2 vs 2D 2.8, P < 0.001 and MLO LE 3.1 vs 2D 2.9, P < 0.008), and conspicuity compared to tissue density compared to 2D mammography (CC LE 3.6 vs 2D 3.2, P < 0.001 and MLO LE 3.5 vs 2D 3.2, P < 0.001). The average CNR was significantly higher for LE than for digital mammography (CC 2.1 vs 3.2, P < 0.001 and MLO 2.1 vs 3.4, P < 0.001). Conclusion Our results suggest that cancers may be better visualized on the LE CEM images compared with the 2D digital mammogram.

Contrast-enhanced spectral mammography in patients with MRI contraindications

2017 ◽  
Vol 59 (7) ◽  
pp. 798-805 ◽  
Author(s):  
Vivien Richter ◽  
Valerie Hatterman ◽  
Heike Preibsch ◽  
Sonja D Bahrs ◽  
Markus Hahn ◽  
...  
Keyword(s):  
Problem Solving ◽  
Diagnostic Accuracy ◽  
Breast Imaging ◽  
Diagnostic Yield ◽  
Therapy Response ◽  
Lesion Size ◽  
Size Estimation ◽  
Imaging Data ◽  
Technical Problems ◽  
Contrast Enhanced

Background Contrast-enhanced spectral mammography (CESM) is a novel breast imaging technique providing comparable diagnostic accuracy to breast magnetic resonance imaging (MRI). Purpose To show that CESM in patients with MRI contraindications is feasible, accurate, and useful as a problem-solving tool, and to highlight its limitations. Material and Methods A total of 118 patients with MRI contraindications were examined by CESM. Histology was obtained in 94 lesions and used as gold standard for diagnostic accuracy calculations. Imaging data were reviewed retrospectively for feasibility, accuracy, and technical problems. The diagnostic yield of CESM as a problem-solving tool and for therapy response evaluation was reviewed separately. Results CESM was more accurate than mammography (MG) for lesion categorization (r = 0.731, P < 0.0001 vs. r = 0.279, P = 0.006) and for lesion size estimation (r = 0.738 vs. r = 0.689, P < 0.0001). Negative predictive value of CESM was significantly higher than of MG (85.71% vs. 30.77%, P < 0.0001). When used for problem-solving, CESM changed patient management in 2/8 (25%) cases. Superposition artifacts and timing problems affected diagnostic utility in 3/118 (2.5%) patients. Conclusion CESM is a feasible and accurate alternative for patients with MRI contraindications, but it is necessary to be aware of the method’s technical limitations.

scholarly journals New technologies in breast cancer detection – contrast enhanced dual-energy spectral mammography

2019 ◽  
pp. 49-61
Author(s):  
A. V. Chernaya ◽  
S. N. Novikov ◽  
P. V. Krivorotko ◽  
R. Kh. Ulyanova ◽  
V. V. Danilov
Keyword(s):  
Breast Cancer ◽  
Digital Mammography ◽  
Predictive Value ◽  
New Technologies ◽  
Malignant Tumors ◽  
Dual Energy ◽  
Post Contrast ◽  
Morphological Studies ◽  
Contrast Enhanced ◽  
Sensitivity Specificity

Purpose: to study the possibilities of contrast enhanced dual-energy spectral mammography (CESM) in the diagnostics of malignant tumors in the breast.Material and methods. Forty-seven patients with suspicious for breast cancer (BC) lesions underwent CESM. Digital mammography (MMG) and post-contrast images were correlated with the results of path morphological studies after surgery or puncture biopsy was performed.Results. Sensitivity, specificity and overall accuracy in the diagnostics of breast cancer were 83.3%, 85.7%, 85.1% for digital mammography and 91.6%, 91.4%, 91.4% for CESM, respectively. The positive predictive value was 66.6% for digital MMG and 78.5% for CESM. The negative predictive value (NPV) was 96.9% for the CESM and exceeded NPV of the digital MMG, which was 93.7%.Conclusion. Thus, these findings suggest that CESM is an effective method for the diagnostics of malignant tumors in the breast.

Contrast Optimization in Clinical Contrast-Enhanced Digital Mammography Images

2012 ◽  
pp. 17-23 ◽  
Author(s):  
Juan-Pablo Cruz-Bastida ◽  
Iván Rosado-Méndez ◽  
Héctor Pérez-Ponce ◽  
Yolanda Villaseñor ◽  
Héctor A. Galván ◽  
...  
Keyword(s):  
Digital Mammography ◽  
Contrast Enhanced
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