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Contrast enhanced breast imaging

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https://www.readbyqxmd.com/read/28102955/compound-speckle-model-detects-anti-angiogenic-tumor-response-in-preclinical-nonlinear-contrast-enhanced-ultrasonography
#1
Matthew R Lowerison, Justin J Tse, M Nicole Hague, Ann F Chambers, David W Holdsworth, James C Lacefield
PURPOSE: This paper proposes a method for analyzing the first-order speckle statistics of nonlinear contrast-enhanced ultrasound images from tumors. METHODS: Contrast signal intensity is modeled as a compound distribution of exponential probability density functions with a gamma weighting function. The gamma probability weighting function serves as an approximation for log-normally distributed flow velocities in a vascular network. The model was applied to sub-harmonic bolus-injection images acquired from a mouse breast cancer xenograft model treated with murine version bevacizumab...
January 2017: Medical Physics
https://www.readbyqxmd.com/read/28097214/location-and-lesion-dependent-estimation-of-mammographic-background-tissue-complexity
#2
Ali Avanaki, Kathryn Espig, Tom Kimpe
We specify a notion of perceived background tissue complexity (BTC) that varies with lesion shape, lesion size, and lesion location in the image. We propose four unsupervised BTC estimators based on: perceived pre and postlesion similarity of images, lesion border analysis (LBA; conspicuous lesion should be brighter than its surround), tissue anomaly detection, and local energy. The latter two are existing methods adapted for location- and lesion-dependent BTC estimation. For evaluation, we ask human observers to measure BTC (threshold visibility amplitude of a given lesion inserted) at specified locations in a mammogram...
January 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28096667/hyaluronan-modified-superparamagnetic-iron-oxide-nanoparticles-for-bimodal-breast-cancer-imaging-and-photothermal-therapy
#3
Rui-Meng Yang, Chao-Ping Fu, Jin-Zhi Fang, Xiang-Dong Xu, Xin-Hua Wei, Wen-Jie Tang, Xin-Qing Jiang, Li-Ming Zhang
Theranostic nanoparticles with both imaging and therapeutic abilities are highly promising in successful diagnosis and treatment of the most devastating cancers. In this study, the dual-modal imaging and photothermal effect of hyaluronan (HA)-modified superparamagnetic iron oxide nanoparticles (HA-SPIONs), which was developed in a previous study, were investigated for CD44 HA receptor-overexpressing breast cancer in both in vitro and in vivo experiments. Heat is found to be rapidly generated by near-infrared laser range irradiation of HA-SPIONs...
2017: International Journal of Nanomedicine
https://www.readbyqxmd.com/read/28091804/baseline-results-from-the-uk-signify-study-a-whole-body-mri-screening-study-in-tp53-mutation-carriers-and-matched-controls
#4
Sibel Saya, Emma Killick, Sarah Thomas, Natalie Taylor, Elizabeth K Bancroft, Jeanette Rothwell, Sarah Benafif, Alexander Dias, Christos Mikropoulos, Jenny Pope, Anthony Chamberlain, Ranga Gunapala, Louise Izatt, Lucy Side, Lisa Walker, Susan Tomkins, Jackie Cook, Julian Barwell, Vicki Wiles, Lauren Limb, Diana Eccles, Martin O Leach, Susan Shanley, Fiona J Gilbert, Helen Hanson, David Gallagher, Bala Rajashanker, Richard W Whitehouse, Dow-Mu Koh, S Aslam Sohaib, D Gareth Evans, Rosalind A Eeles
In the United Kingdom, current screening guidelines for TP53 germline mutation carriers solely recommends annual breast MRI, despite the wide spectrum of malignancies typically seen in this group. This study sought to investigate the role of one-off non-contrast whole-body MRI (WB MRI) in the screening of asymptomatic TP53 mutation carriers. 44 TP53 mutation carriers and 44 population controls were recruited. Scans were read by radiologists blinded to participant carrier status. The incidence of malignancies diagnosed in TP53 mutation carriers against general population controls was calculated...
January 16, 2017: Familial Cancer
https://www.readbyqxmd.com/read/28073839/unsupervised-clustering-of-quantitative-image-phenotypes-reveals-breast-cancer-subtypes-with-distinct-prognoses-and-molecular-pathways
#5
Jia Wu, Yi Cui, Xiaoli Sun, Guohong Cao, Bailiang Li, Debra M Ikeda, Allison W Kurian, Ruijiang Li
PURPOSE: To identify novel breast cancer subtypes by extracting quantitative imaging phenotypes of the tumor and surrounding parenchyma, and to elucidate the underlying biological underpinnings and evaluate the prognostic capacity for predicting recurrence-free survival (RFS). METHODS: We retrospectively analyzed dynamic contrast-enhanced magnetic resonance imaging data of patients from a single-center discovery cohort (n=60) and an independent multi-center validation cohort (n=96)...
January 10, 2017: Clinical Cancer Research: An Official Journal of the American Association for Cancer Research
https://www.readbyqxmd.com/read/28072576/ultrasonic-computed-tomography-imaging-of-iron-oxide-nanoparticles
#6
Or Perlman, Haim Azhari
Iron oxide nanoparticles (IONPs) are becoming increasingly used and intensively investigated in the field of medical imaging. They are currently FDA approved for magnetic resonance imaging (MRI), and it would be highly desirable to visualize them by ultrasound as well. Previous reports using the conventional ultrasound B-scan (pulse-echo) imaging technique have shown very limited detectability of these particles. The aim of this study is to explore the feasibility of imaging IONPs using the through-transmission ultrasound methodology and demonstrate their detectability using ultrasonic computed tomography (UCT)...
February 7, 2017: Physics in Medicine and Biology
https://www.readbyqxmd.com/read/28067435/mr-imaging-findings-in-molecular-subtypes-of-breast-cancer-according-to-birads-system
#7
Lidia Navarro Vilar, Salvador Pascual Alandete Germán, Rosana Medina García, Esther Blanc García, Natalia Camarasa Lillo, José Vilar Samper
To evaluate magnetic resonance imaging (MRI) findings, according to Breast Imaging-Reporting and Data System (BI-RADS), and to relate them with molecular subtypes of breast cancer. The MRI findings were reviewed retrospectively in 201 women diagnosed of invasive breast cancer confirmed by surgery and were compared with the molecular subtypes. Following the BI-RADS, MRI findings included disease type, size, enhancement, morphology and contrast kinetics. In mass-like lesion types were studied shape, margin and enhancement, and in nonmass-like lesion types, distribution modifiers and internal enhancement...
January 9, 2017: Breast Journal
https://www.readbyqxmd.com/read/28066808/effect-of-mr-imaging-contrast-thresholds-on-prediction-of-neoadjuvant-chemotherapy-response-in-breast-cancer-subtypes-a-subgroup-analysis-of-the-acrin-6657-i-spy-1-trial
#8
Wen Li, Vignesh Arasu, David C Newitt, Ella F Jones, Lisa Wilmes, Jessica Gibbs, John Kornak, Bonnie N Joe, Laura J Esserman, Nola M Hylton
Functional tumor volume (FTV) measurements by dynamic contrast-enhanced magnetic resonance imaging can predict treatment outcomes for women receiving neoadjuvant chemotherapy for breast cancer. Here, we explore whether the contrast thresholds used to define FTV could be adjusted by breast cancer subtype to improve predictive performance. Absolute FTV and percent change in FTV (ΔFTV) at sequential time-points during treatment were calculated and investigated as predictors of pathologic complete response at surgery...
December 2016: Tomography: a Journal for Imaging Research
https://www.readbyqxmd.com/read/28055247/-staging-of-breast-cancer-and-the-advanced-applications-of-digital-mammogram-what-the-physician-needs-to-know
#9
Maha Hussien Helal, Sahar Mahmoud Mansour, Mai Zaglol, Lamia Adel Salaleldin, Omniya Mokhtar Nada, Marwa Anas Haggag
OBJECTIVE: To study the role of advanced applications of digital mammogram whether contrast enhanced spectral mammography (CESM) or digital breast tomosynthesis (DBT) in the "T" staging of histologically proven breast cancer prior management planning. METHODS: This prospective analysis, we evaluated 98 proved malignant breast masses regarding their size, multiplicity and presence of associated clusters of microcalcifications. Evaluation methods included digital mammography, 3-D tomosynthesis and contrast enhanced spectral mammography...
January 5, 2017: British Journal of Radiology
https://www.readbyqxmd.com/read/28048384/su-d-207b-06-predicting-breast-cancer-malignancy-on-dce-mri-data-using-pre-trained-convolutional-neural-networks
#10
N Antropova, B Huynh, M Giger
PURPOSE: We investigate deep learning in the task of distinguishing between malignant and benign breast lesions on dynamic contrast-enhanced MR images (DCE-MRIs), eliminating the need for lesion segmentation and extraction of tumor features. We evaluate convolutional neural network (CNN) after transfer learning with ImageNet, a database of thousands of non-medical images. METHODS: Under a HIPAA-compliant IRB protocol, a database of 551 (357 malignant and 194 benign) breast MRI cases was collected...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28048357/su-f-r-05-multidimensional-imaging-radiomics-geodesics-a-novel-manifold-learning-based-automatic-feature-extraction-method-for-diagnostic-prediction-in-multiparametric-imaging
#11
V Parekh, M A Jacobs
PURPOSE: Multiparametric radiological imaging is used for diagnosis in patients. Potentially extracting useful features specific to a patient's pathology would be crucial step towards personalized medicine and assessing treatment options. In order to automatically extract features directly from multiparametric radiological imaging datasets, we developed an advanced unsupervised machine learning algorithm called the multidimensional imaging radiomics-geodesics(MIRaGe). METHODS: Seventy-six breast tumor patients underwent 3T MRI breast imaging were used for this study...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047752/we-de-207b-04-quantitative-contrast-enhanced-spectral-mammography-based-on-photon-counting-detectors-a-feasibility-study
#12
H Ding, B Zhou, D Beidokhti, S Molloi
PURPOSE: To investigate the feasibility of accurate quantification of iodine mass thickness in contrast-enhanced spectral mammography. METHODS: Experimental phantom studies were performed on a spectral mammography system based on Si strip photon-counting detectors. Dual-energy images were acquired using 40 kVp and a splitting energy of 34 keV with 3 mm Al pre-filtration. The initial calibration was done with glandular and adipose tissue equivalent phantoms of uniform thicknesses and iodine disk phantoms of various concentrations...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047476/su-f-i-16-short-breast-mri-with-high-resolution-t2-weighted-and-dynamic-contrast-enhanced-t1-weighted-images
#13
J Ma, J Son, B Arun, J Hazle, K Hwang, K Wang, E Bayram, J Madewell, W Yang, B Dogan
PURPOSE: To develop and demonstrate a short breast (sb) MRI protocol that acquires both T2-weighted and dynamic contrast-enhanced T1-weighted images in approximately ten minutes. METHODS: The sb-MRI protocol consists of two novel pulse sequences. The first is a flexible fast spin-echo triple-echo Dixon (FTED) sequence for high-resolution fat-suppressed T2-weighted imaging, and the second is a 3D fast dual-echo spoiled gradient sequence (FLEX) for volumetric fat-suppressed T1-weighted imaging before and post contrast agent injection...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047264/tu-d-207b-05-intra-tumor-partitioning-and-texture-analysis-of-dce-mri-identifies-relevant-tumor-subregions-to-predict-early-pathological-response-of-breast-cancer-to-neoadjuvant-chemotherapy
#14
J Wu, G Gong, Y Cui, R Li
PURPOSE: To predict early pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multi-region analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI). METHODS: In this institution review board-approved study, 35 patients diagnosed with stage II/III breast cancer were retrospectively investigated using DCE-MR images acquired before and after the first cycle of NAC. First, principal component analysis (PCA) was used to reduce the dimensionality of the DCE-MRI data with a high-temporal resolution...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28047259/tu-fg-209-12-treatment-site-and-view-recognition-in-x-ray-images-with-hierarchical-multiclass-recognition-models
#15
X Chang, T Mazur, D Yang
PURPOSE: To investigate an approach of automatically recognizing anatomical sites and imaging views (the orientation of the image acquisition) in 2D X-ray images. METHODS: A hierarchical (binary tree) multiclass recognition model was developed to recognize the treatment sites and views in x-ray images. From top to bottom of the tree, the treatment sites are grouped hierarchically from more general to more specific. Each node in the hierarchical model was designed to assign images to one of two categories of anatomical sites...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046981/we-de-207b-01-optimization-for-contrast-enhanced-spectral-mammography-based-on-photon-counting-detectors
#16
H Ding, S Molloi
PURPOSE: To investigate the feasibility of optimizing the imaging parameters for contrast-enhanced spectral mammography based on Si strip photon-counting detectors. METHODS: A computer simulation model using polyenergetic spectra from a tungsten anode x-ray tube and a Si-based photon-counting detector was evaluated for contrast-enhanced spectral mammography. The simulation traces the emission of photons from the x-ray source, attenuation through the breast and subsequent absorption in the detector...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046938/su-f-i-21-unfolding-of-aliased-dynamic-acquisitions-for-the-acceleration-of-breast-dynamic-contrast-enhanced-mri-dce-mri
#17
F Pineda, M Medved, X Fan, G Karczmar
PURPOSE: To determine the feasibility of increasing temporal resolution in breast DCE-MRI by reducing the field-of-view (FOV) and unfolding the aliased images using un-aliased subtraction images as guides. METHODS: Experience with an 'ultrafast' protocol for breast DCE-MRI (6-10s acquisitions) showed that the number of significantly enhancing voxels was very low (<7% of the FOV) in the first 30-45s after contrast injection. The sparse enhancement in these images suggests that if the FOV is reduced in the phase-encoding direction (reducing acquisition time) and aliasing occurs, the likelihood of two significantly-enhancing voxels overlapping in the aliased image is relatively low...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046698/mo-fg-campus-iep1-02-dose-reduction-in-contrast-enhanced-digital-mammography-using-a-photon-counting-detector
#18
S Lee, S Kang, J Eom
PURPOSE: Photon-counting detectors (PCDs) allow multi-energy X-ray imaging without additional exposures and spectral overlap. This capability results in the improvement of accuracy of material decomposition for dual-energy X-ray imaging and the reduction of radiation dose. In this study, the PCD-based contrast-enhanced dual-energy mammography (CEDM) was compared with the conventional CDEM in terms of radiation dose, image quality and accuracy of material decomposition. METHODS: A dual-energy model was designed by using Beer-Lambert's law and rational inverse fitting function for decomposing materials from a polychromatic X-ray source...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28046345/su-f-r-26-prognostic-radiomics-of-breast-cancer-on-dce-and-dwi-mr-images
#19
N Maforo, H Li, L Lan, A Edwards, M L Giger
PURPOSE: For this study, we investigated quantitative radiomics of breast tumors on diffusion weighted imaging and dynamic contrast-enhanced MRIs in the task of assessing the prognostic status of breast cancers. METHODS: Our IRB-approved, retrospectively-collected dataset included 316 breast cancers with 235 ER+ and 81 ER- cases. All images were acquired during clinical breast MRI incorporating dynamic-contrast MRI and diffusion-weighted MRI. Phenotypic categories extracted quantitatively from DCE-MRI included tumor size, shape, margin sharpness, enhancement texture, kinetics, and variance kinetics, and from DWI-DCE ADC features (average, range, variation) for DWI...
June 2016: Medical Physics
https://www.readbyqxmd.com/read/28044312/optimization-of-contrast-enhanced-breast-imaging-analysis-using-a-cascaded-linear-system-model
#20
Yue-Houng Hu, David A Scaduto, Wei Zhao
PURPOSE: Contrast-enhanced (CE) breast imaging involves the injection contrast agents (i.e., iodine) to increase conspicuity of malignant lesions. CE imaging may be used in conjunction with digital mammography (DM) or digital breast tomosynthesis (DBT) and has shown promise in improving diagnostic specificity. Both CE-DM and CE-DBT techniques require optimization as clinical diagnostic tools. Physical factors including x-ray spectra, subtraction technique, and the signal from iodine contrast, must be considered to provide the greatest object detectability and image quality...
January 2017: Medical Physics
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