scholarly journals Contrast-enhanced digital mammography and other techniques based on image subtraction

2016 ◽  
Author(s):  
María-Ester Brandan
Keyword(s):  
Digital Mammography ◽  
Image Subtraction ◽  
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.

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

Electrically Evoked Motile Responses of Mammalian Type I Vestibular Hair Cells

1992 ◽  
Vol 2 (3) ◽  
pp. 181-191
Author(s):  
Hans Peter Zenner ◽  
Günter Reuter ◽  
Shi Hong ◽  
Ulrike Zimmermann ◽  
Alfred H. Gitter
Keyword(s):  
Hair Cells ◽  
Sensory Modality ◽  
Outer Hair Cells ◽  
Type I ◽  
Image Subtraction ◽  
Low Frequencies ◽  
Vestibular Hair Cells ◽  
Mechanical Responses ◽  
Contrast Enhanced ◽  
Length Changes

Vestibular hair cells, type I and II, with membrane potentials around -64 mV were prepared from guinea pig ampullar cristae and maculae. In type I cells, current injection, application of voltage steps during membrane patch-clamping, or extracellular alternating current (ac) fields evoked fast length changes of 50 nm to 500 nm of the cell “neck”. Mechanical responses were determined by computerized video techniques with contrast-enhanced digital image subtraction (DIS) and interpeak pixel counts (IPPC) or by double photodiode measurements. These techniques allowed spatial resolutions of 300 nm, 120 nm, and 50 nm, respectively. In contrast to measurements of high-frequency movements of auditory outer hair cells (OHCs), the mechanical responses of type I VHCs were restricted to low frequencies below 85 Hz. In addition to recently reported slow motility of VHCs, the present results suggest that fast mechanical VHC responses could significantly influence macular and cupular mechanics. Isometric and isotonic variants are discussed. The observed frequency maxima gap between VHCs and OHCs is suggested to contribute to a clear separation of the auditory and the vestibular sensory modality.

Contrast Enhanced Digital Mammography (CEDM) Helps to Safely Reduce Benign Breast Biopsies for Low to Moderately Suspicious Soft Tissue Lesions

2020 ◽  
Vol 27 (7) ◽  
pp. 969-976
Author(s):  
Margarita L. Zuley ◽  
Andriy I. Bandos ◽  
Gordon S. Abrams ◽  
Marie A. Ganott ◽  
Terri-Ann Gizienski ◽  
...  
Keyword(s):  
Soft Tissue ◽  
Digital Mammography ◽  
Soft Tissue Lesions ◽  
Contrast Enhanced

Comparison of Contrast-Enhanced Mammography With Conventional Digital Mammography in Breast Cancer Screening: A Pilot Study

2019 ◽  
Vol 16 (10) ◽  
pp. 1456-1463 ◽  
Author(s):  
Geunwon Kim ◽  
Jordana Phillips ◽  
Elodia Cole ◽  
Alexander Brook ◽  
Tejas Mehta ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Pilot Study ◽  
Breast Cancer Screening ◽  
Digital Mammography ◽  
Contrast Enhanced
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