Dual energy contrast enhanced breast imaging optimization using contrast to noise ratio

2007 ◽  
Author(s):  
C. D. Arvanitis ◽  
G. Royle ◽  
R. Speller
Keyword(s):  
Breast Imaging ◽  
Dual Energy ◽  
Contrast Enhanced ◽  
Noise Ratio

scholarly journals Exploring silver as a contrast agent for contrast-enhanced dual-energy X-ray breast imaging

2014 ◽  
Vol 87 (1041) ◽  
pp. 20140081 ◽  
Author(s):  
R Karunamuni ◽  
A Tsourkas ◽  
A D A Maidment
Keyword(s):  
Contrast Agent ◽  
Breast Imaging ◽  
Dual Energy ◽  
X Ray ◽  
Contrast Enhanced

scholarly journals Contrast enhanced dual energy spectral mammogram, an emerging addendum in breast imaging

2016 ◽  
Vol 89 (1067) ◽  
pp. 20150609 ◽  
Author(s):  
Kalpana D Kariyappa ◽  
Francis Gnanaprakasam ◽  
Subhapradha Anand ◽  
Murali Krishnaswami ◽  
Madan Ramachandran
Keyword(s):  
Breast Imaging ◽  
Dual Energy ◽  
Contrast Enhanced

scholarly journals Current Status of Contrast Enhanced Mammography: A Comprehensive Review

2021 ◽  
pp. 084653712110290
Author(s):  
Anat Kornecki
Keyword(s):  
Breast Imaging ◽  
Dual Energy ◽  
Current Status ◽  
Resonance Imaging ◽  
Comprehensive Review ◽  
Full Field ◽  
Dce Mri ◽  
Full Field Digital Mammography ◽  
Contrast Enhanced ◽  
Diagnostic Setting

Objectives: The purpose of this article is to provide a detailed and updated review of the physics, techniques, indications, limitations, reporting, implementation and management of contrast enhanced mammography. Background: Contrast enhanced mammography (CEM), is an emerging iodine-based modified dual energy mammography technique. In addition to having the same advantages as standard full-field digital mammography (FFDM), CEM provides information regarding tumor enhancement, relying on tumor angiogenesis, similar to dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). This article reviews current literature on CEM and highlights considerations that are critical to the successful use of this modality. Conclusion: Multiple studies point to the advantage of using CEM in the diagnostic setting of breast imaging, which approaches that of DCE-MRI.

scholarly journals Contrast-enhanced mammography: what the radiologist needs to know

BJR|Open ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 20210034
Author(s):  
Lidewij M.F.H. Neeter ◽  
H.P.J. (Frank) Raat ◽  
Rodrigo Alcantara ◽  
Quirien Robbe ◽  
Marjolein L. Smidt ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Contrast Material ◽  
High Energy ◽  
Dual Energy ◽  
Everyday Clinical Practice ◽  
Future Developments ◽  
Imaging Protocols ◽  
Iodinated Contrast ◽  
Contrast Enhanced ◽  
The Subject

Contrast-enhanced mammography (CEM) is a combination of standard mammography and iodinated contrast material administration. During the last decade, CEM has found its place in breast imaging protocols: after i.v. administration of iodinated contrast material, low-energy and high-energy images are retrieved in one acquisition using a dual-energy technique, and a recombined image is constructed enabling visualisation of areas of contrast uptake. The increased incorporation of CEM into everyday clinical practice is reflected in the installation of dedicated equipment worldwide, the (commercial) availability of systems from different vendors, the number of CEM examinations performed, and the number of scientific articles published on the subject. It follows that ever more radiologists will be confronted with this technique, and thus be required to keep up to date with the latest developments in the field. Most importantly, radiologists must have sufficient knowledge on how to interpret CEM images and be acquainted with common artefacts and pitfalls. This comprehensive review provides a practical overview of CEM technique, including CEM-guided biopsy; reading, interpretation and structured reporting of CEM images, including the accompanying learning curve, CEM artefacts and interpretation pitfalls; indications for CEM; disadvantages of CEM; and future developments.

Optimization of X-Ray Spectra for Dual-Energy Contrast-Enhanced Breast Imaging: Dependency on CsI Detector Scintillator Thickness

2014 ◽  
pp. 95-102 ◽  
Author(s):  
Pablo Milioni de Carvalho ◽  
Ann-Katherine Carton ◽  
Sylvie Saab-Puong ◽  
Răzvan Iordache ◽  
Serge Muller
Keyword(s):  
Breast Imaging ◽  
Dual Energy ◽  
X Ray ◽  
Contrast Enhanced

scholarly journals The Usefulness of Spectral Mammography in Surgical Planning of Breast Cancer Treatment—Analysis of 999 Patients with Primary Operable Breast Cancer

2021 ◽  
Vol 28 (4) ◽  
pp. 2548-2559
Author(s):  
Andrzej Lorek ◽  
Katarzyna Steinhof-Radwańska ◽  
Anna Barczyk-Gutkowska ◽  
Wojciech Zarębski ◽  
Piotr Paleń ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Predictive Value ◽  
Breast Imaging ◽  
Incidence Rates ◽  
Diagnostic Sensitivity ◽  
Breast Cancer Surgery ◽  
Imaging Method ◽  
Treatment Change ◽  
Contrast Enhanced ◽  
General Number

Contrast-enhanced spectral mammography (CESM) is a promising, digital breast imaging method for planning surgeries. The study aimed at comparing digital mammography (MG) with CESM as predictive factors in visualizing multifocal-multicentric cancers (MFMCC) before determining the surgery extent. We analyzed 999 patients after breast cancer surgery to compare MG and CESM in terms of detecting MFMCC. Moreover, these procedures were assessed for their conformity with postoperative histopathology (HP), calculating their sensitivity and specificity. The question was which histopathological types of breast cancer were more frequently characterized by multifocality–multicentrality in comparable techniques as regards the general number of HP-identified cancers. The analysis involved the frequency of post-CESM changes in the extent of planned surgeries. In the present study, MG revealed 48 (4.80%) while CESM 170 (17.02%) MFMCC lesions, subsequently confirmed in HP. MG had MFMCC detecting sensitivity of 38.51%, specificity 99.01%, PPV (positive predictive value) 85.71%, and NPV (negative predictive value) 84.52%. The respective values for CESM were 87.63%, 94.90%, 80.57% and 96.95%. Moreover, no statistically significant differences were found between lobular and NST cancers (27.78% vs. 21.24%) regarding MFMCC. A treatment change was required by 20.00% of the patients from breast-conserving to mastectomy, upon visualizing MFMCC in CESM. In conclusion, mammography offers insufficient diagnostic sensitivity for detecting additional cancer foci. The high diagnostic sensitivity of CESM effectively assesses breast cancer multifocality/multicentrality and significantly changes the extent of planned surgeries. The multifocality/multicentrality concerned carcinoma, lobular and invasive carcinoma of no special type (NST) cancers with similar incidence rates, which requires further confirmation.

scholarly journals Threshold-dependent iodine imaging and spectral separation in a whole-body photon-counting CT system

2021 ◽  
Author(s):  
S. Sawall ◽  
L. Klein ◽  
E. Wehrse ◽  
L. T. Rotkopf ◽  
C. Amato ◽  
...  
Keyword(s):  
Image Quality ◽  
Photon Counting ◽  
Dual Energy ◽  
Whole Body ◽  
Dual Energy Ct ◽  
Post Mortem ◽  
Tube Voltage ◽  
Spectral Separation ◽  
Dual Source ◽  
Noise Ratio

Abstract Objective To evaluate the dual-energy (DE) performance and spectral separation with respect to iodine imaging in a photon-counting CT (PCCT) and compare it to dual-source CT (DSCT) DE imaging. Methods A semi-anthropomorphic phantom extendable with fat rings equipped with iodine vials is measured in an experimental PCCT. The system comprises a PC detector with two energy bins (20 keV, T) and (T, eU) with threshold T and tube voltage U. Measurements using the PCCT are performed at all available tube voltages (80 to 140 kV) and threshold settings (50–90 keV). Further measurements are performed using a conventional energy-integrating DSCT. Spectral separation is quantified as the relative contrast media ratio R between the energy bins and low/high images. Image noise and dose-normalized contrast-to-noise ratio (CNRD) are evaluated in resulting iodine images. All results are validated in a post-mortem angiography study. Results R of the PC detector varies between 1.2 and 2.6 and increases with higher thresholds and higher tube voltage. Reference R of the EI DSCT is found as 2.20 on average overall phantoms. Maximum CNRD in iodine images is found for T = 60/65/70/70 keV for 80/100/120/140 kV. The highest CNRD of the PCCT is obtained using 140 kV and is decreasing with decreasing tube voltage. All results could be confirmed in the post-mortem angiography study. Conclusion Intrinsically acquired DE data are able to provide iodine images similar to conventional DSCT. However, PCCT thresholds should be chosen with respect to tube voltage to maximize image quality in retrospectively derived image sets. Key Points • Photon-counting CT allows for the computation of iodine images with similar quality compared to conventional dual-source dual-energy CT. • Thresholds should be chosen as a function of the tube voltage to maximize iodine contrast-to-noise ratio in derived image sets. • Image quality of retrospectively computed image sets can be maximized using optimized threshold settings.

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