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Keywords Contrast enhanced digital mamm...

Contrast enhanced digital mammography

https://read.qxmd.com/read/37820689/investigation-of-test-methods-for-qc-in-dual-energy-based-contrast-enhanced-digital-mammography-systems-part-i-iodine-signal-testing
#21
JOURNAL ARTICLE
Lesley Cockmartin, Hilde Bosmans, Nicholas W Marshall
The technique of dual-energy contrast enhanced mammography (CEM) visualizes iodine uptake in cancerous breast lesions following an intravenous injection of a contrast medium. The CEM image is generated by recombining two images acquired in rapid succession: a low energy image, with a mean energy below the iodine K-edge, and a higher energy image. The first part of this study examines the use of both commercially available and custom made phantoms to investigate iodine imaging under different imaging conditions, with the focus on quality control (QC) testing...
October 11, 2023: Physics in Medicine and Biology
https://read.qxmd.com/read/37820686/investigation-of-test-methods-for-qc-in-dual-energy-based-contrast-enhanced-digital-mammography-systems-part-ii-artefacts-uniformity-exposure-time-and-phantom-based-dosimetry
#22
JOURNAL ARTICLE
Nicholas W Marshall, Lesley Cockmartin, Hilde Bosmans
Part II of this study describes constancy tests for artefacts and image uniformity, exposure time, and phantom-based dosimetry; these are applied to four mammography systems equipped with CEM capability. Artefacts were tested using a breast phantom that simulated breast shape and thickness change at the breast edge. Image uniformity was assessed using rectangular poly(methyl)methacrylate PMMA plates at phantom thicknesses of 20, 40 and 60mm, for the low energy (LE), high energy (HE) images and the recombined CEM image...
October 11, 2023: Physics in Medicine and Biology
https://read.qxmd.com/read/37795010/future-of-breast-radiology
#23
REVIEW
Erkin Arıbal
The landscape of breast imaging has transformed significantly since mammography's introduction in the 1960s, accelerated by ultrasound and imageguided biopsies in the 1990s. The emergence of magnetic resonance imaging (MRI) in the 2000s added a valuable dimension to advanced imaging. Multimodality and multiparametric imaging have firmly established breast radiology's pivotal role in managing breast disorders. A shift from conventional to digital radiology emerged in the late 20th and early 21st centuries, enabling advanced techniques like digital breast tomosynthesis, contrast-enhanced mammography, and artificial intelligence (AI) integration...
October 2023: European Journal of Breast Health
https://read.qxmd.com/read/37792595/contrast-enhanced-mammography-artifacts-and-pitfalls-tips-and-tricks-to-avoid-misinterpretation
#24
JOURNAL ARTICLE
Rosa M Lorente-Ramos, Javier Azpeitia-Armán, Carlos Oliva-Fonte, Ana Pérez-Bartolomé, Javier Azpeitia Hernández
Contrast-enhanced mammography (CEM) involves addition of intravenous iodinated contrast material at digital mammography, thus increasing the ability to detect breast cancer owing to tumor contrast enhancement. After image acquisition, interpretation includes careful assessment of the technique, artifacts, and pitfalls and reporting with a standard lexicon category and appropriate follow-up recommendations. Artifacts and pitfalls that may cause image misinterpretation should be detected and distinguished from pathologic conditions...
October 2023: Radiographics: a Review Publication of the Radiological Society of North America, Inc
https://read.qxmd.com/read/37746370/novel-technologies-in-breast-imaging-a-scoping-review
#25
REVIEW
Nicole F Grigoryants, Sarah Sass, Julia Alexander
Breast cancer is one of the leading causes of death in the United States and can cause considerable suffering for not only the patient but their families as well. The current mainstay of screening is mammography, although this screening modality has its drawbacks. Multiple technologies have been recently explored in hopes of increasing breast cancer detection rates and decreasing false positive rates. Overall, improving breast cancer screening techniques has the potential to decrease cost, patient anxiety, and the use of unnecessary procedures...
August 2023: Curēus
https://read.qxmd.com/read/37676616/pectoral-muscle-removal-in-mammogram-images-a-novel-approach-for-improved-accuracy-and-efficiency
#26
JOURNAL ARTICLE
Simin Chen, Debbie L Bennett, Graham A Colditz, Shu Jiang
PURPOSE: Accurate pectoral muscle removal is critical in mammographic breast density estimation and many other computer-aided algorithms. We propose a novel approach to remove pectoral muscles form mediolateral oblique (MLO) view mammograms and compare accuracy and computational efficiency with existing method (Libra). METHODS: A pectoral muscle identification pipeline was developed. The image is first binarized to enhance contrast and then the Canny algorithm was applied for edge detection...
September 7, 2023: Cancer Causes & Control: CCC
https://read.qxmd.com/read/37610440/breast-cancer-diagnosis-from-contrast-enhanced-mammography-using-multi-feature-fusion-neural-network
#27
JOURNAL ARTICLE
Nini Qian, Wei Jiang, Yu Guo, Jian Zhu, Jianfeng Qiu, Hui Yu, Xian Huang
OBJECTIVES: To develop an end-to-end deep neural network for the classification of contrast-enhanced mammography (CEM) images to facilitate breast cancer diagnosis in the clinic. METHODS: In this retrospective mono-centric study, patients who underwent CEM examinations from January 2019 to August 2021 were enrolled. A multi-feature fusion network combining low-energy (LE) and dual-energy subtracted (DES) images and dual view, as well as bilateral information, was trained and tested using a large CEM dataset with a diversity of breast tumors for breast lesion classification...
August 23, 2023: European Radiology
https://read.qxmd.com/read/37568883/diagnostic-performance-of-contrast-enhanced-digital-mammography-versus-conventional-imaging-in-women-with-dense-breasts
#28
JOURNAL ARTICLE
Giuliana Moffa, Francesca Galati, Roberto Maroncelli, Veronica Rizzo, Federica Cicciarelli, Marcella Pasculli, Federica Pediconi
The aim of this prospective study was to compare the diagnostic performance of contrast-enhanced mammography (CEM) versus digital mammography (DM) combined with breast ultrasound (BUS) in women with dense breasts. Between March 2021 and February 2022, patients eligible for CEM with the breast composition category ACR BI-RADS c-d at DM and an abnormal finding (BI-RADS 3-4-5) at DM and/or BUS were considered. During CEM, a nonionic iodinated contrast agent (Iohexol 350 mg I/mL, 1.5 mL/kg) was power-injected intravenously...
July 28, 2023: Diagnostics
https://read.qxmd.com/read/37454369/the-imaging-appearances-of-non-calcified-ductal-carcinoma-in-situ-a-pictorial-essay
#29
REVIEW
Stephanie Nicole Sideris, Nathalie Falkner, Gareth Porter
Non-calcified ductal carcinoma in situ (NCDCIS) presents as a heterogeneous entity on various imaging modalities, most frequently presenting symptomatically as a palpable lump. The combination of multiple modalities and knowledge of its potential radiological appearances are important in minimising misdiagnosis. Compared to conventional 2D mammography, both sonography and digital breast tomosynthesis show higher diagnostic accuracy in the detection of NCDCIS. Newer modalities of contrast-enhanced digital mammography and MRI have limited data at present, but early results indicate greater sensitivity for the detection of lesions that may be occult on ultrasound or mammography...
September 2023: Journal of Medical Imaging and Radiation Oncology
https://read.qxmd.com/read/37399083/predicting-the-response-to-neoadjuvant-chemotherapy-can-the-addition-of-tomosynthesis-improve-the-accuracy-of-contrast-enhanced-spectral-mammography-a-comparison-with-breast-mri
#30
JOURNAL ARTICLE
Sarah L Savaridas, Sarah J Vinnicombe, Violet Warwick, Andrew Evans
OBJECTIVES: Image monitoring is essential to monitor response to neoadjuvant chemotherapy (NACT). Whilst breast MRI is the gold-standard technique, evidence suggests contrast-enhanced spectral mammography (CESM) is comparable. We investigate whether the addition of digital breast tomosynthesis (DBT) to CESM increases the accuracy of response prediction. METHODS: Women receiving NACT for breast cancer were included. Imaging with CESM+DBT and MRI was performed post-NACT...
August 2023: British Journal of Radiology
https://read.qxmd.com/read/37367467/digital-breast-tomosynthesis-towards-dose-reduction-through-image-quality-improvement
#31
JOURNAL ARTICLE
Ana M Mota, João Mendes, Nuno Matela
Currently, breast cancer is the most commonly diagnosed type of cancer worldwide. Digital Breast Tomosynthesis (DBT) has been widely accepted as a stand-alone modality to replace Digital Mammography, particularly in denser breasts. However, the image quality improvement provided by DBT is accompanied by an increase in the radiation dose for the patient. Here, a method based on 2D Total Variation (2D TV) minimization to improve image quality without the need to increase the dose was proposed. Two phantoms were used to acquire data at different dose ranges (0...
June 11, 2023: Journal of Imaging
https://read.qxmd.com/read/37297735/history-of-mammography-analysis-of-breast-imaging-diagnostic-achievements-over-the-last-century
#32
REVIEW
Luca Nicosia, Giulia Gnocchi, Ilaria Gorini, Massimo Venturini, Federico Fontana, Filippo Pesapane, Ida Abiuso, Anna Carla Bozzini, Maria Pizzamiglio, Antuono Latronico, Francesca Abbate, Lorenza Meneghetti, Ottavia Battaglia, Giuseppe Pellegrino, Enrico Cassano
Breast cancer is the most common forms of cancer and a leading cause of mortality in women. Early and correct diagnosis is, therefore, essential to save lives. The development of diagnostic imaging applied to the breast has been impressive in recent years and the most used diagnostic test in the world is mammography, a low-dose X-ray technique used for imaging the breast. In the first half of the 20th century, the diagnosis was in practice only clinical, with consequent diagnostic delay and an unfavorable prognosis in the short term...
May 30, 2023: Healthcare (Basel, Switzerland)
https://read.qxmd.com/read/37296810/evaluation-of-contrast-enhanced-mammography-and-development-of-flowchart-for-bi-rads-classification-of-breast-lesions
#33
JOURNAL ARTICLE
Kristina Klarić, Andrej Šribar, Anuška Budisavljević, Loredana Labinac, Petra Valković Zujić
This study aimed to evaluate contrast-enhanced mammography (CEM) and to compare breast lesions on CEM and breast magnetic resonance imaging (MRI) using 5 features. We propose a flowchart for BI-RADS classification of breast lesions on CEM based on the Kaiser score (KS) flowchart for breast MRI. Sixty-eight subjects (women and men; median age 61.4 ± 11.6 years) who were suspected of having a malignant process in the breast based on digital mammography (MG) findings were included in the study. The patients underwent breast ultrasound (US), CEM, MRI and biopsy of the suspicious lesion...
June 3, 2023: Diagnostics
https://read.qxmd.com/read/37278659/economic-evaluation-of-supplemental-breast-cancer-screening-modalities-to-mammography-or-digital-breast-tomosynthesis-in-women-with-heterogeneously-and-extremely-dense-breasts-and-average-or-intermediate-breast-cancer-risk-in-us-healthcare
#34
JOURNAL ARTICLE
Michael Blankenburg, Irene Sánchez-Collado, Busayo Oladimeji Soyemi, Örjan Åkerborg, Amrit Caleyachetty, James Harris, Elizabeth Morris, Gillian Newstead, Franziska Lobig
OBJECTIVE: To evaluate the cost effectiveness of supplemental breast imaging modalities for women with heterogeneously and extremely dense breasts and average or intermediate risk of breast cancer (BC) in the USA, and analyze capacity requirements for supplemental magnetic resonance imaging (MRI) and contrast-enhanced mammography (CEM). METHODS: Clinical and economic outcomes for supplemental imaging modalities including full- and abbreviated-protocol MRI (Fp-MRI, Ab-MRI), CEM, and ultrasound (U/S) as add-on to x-ray mammography (XM) or digital breast tomosynthesis (DBT), were compared to XM or DBT alone, in a decision tree linked to a Markov chain validated by comparison with a microsimulation analysis...
June 6, 2023: Journal of Medical Economics
https://read.qxmd.com/read/37221422/smart-iot-in-breast-cancer-detection-using-optimal-deep-learning
#35
JOURNAL ARTICLE
Ramachandro Majji, Om Prakash P G, R Rajeswari, Cristin R
IoT in healthcare systems is currently a viable option for providing higher-quality medical care for contemporary e-healthcare. Using an Internet of Things (IoT)-based smart healthcare system, a trustworthy breast cancer classification method called Feedback Artificial Crow Search (FACS)-based Shepherd Convolutional Neural Network (ShCNN) is developed in this research. To choose the best routes, the secure routing operation is first carried out using the recommended FACS while taking fitness measures such as distance, energy, link quality, and latency into account...
May 23, 2023: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://read.qxmd.com/read/37202338/performance-of-supplemental-imaging-modalities-for-breast-cancer-in-women-with-dense-breasts-findings-from-an-umbrella-review-and-primary-studies-analysis
#36
REVIEW
Franziska Lobig, Amrit Caleyachetty, Lucy Forrester, Elizabeth Morris, Gillian Newstead, James Harris, Michael Blankenburg
Breast cancer screening performance of supplemental imaging modalities by breast density and breast cancer risk has not been widely studied, and the optimal choice of modality for women with dense breasts remains unclear in clinical practice and guidelines. This systematic review aimed to assess breast cancer screening performance of supplemental imaging modalities for women with dense breasts, by breast cancer risk. Systematic reviews (SRs) in 2000 to 2021, and primary studies in 2019 to 2021, on outcomes of supplemental screening modalities (digital breast tomography [DBT], MRI (full/abbreviated protocol), contrast enhanced mammography (CEM), ultrasound (hand-held [HHUS]/automated [ABUS]) in women with dense breasts (BI-RADS C&D) were identified...
April 19, 2023: Clinical Breast Cancer
https://read.qxmd.com/read/37173880/breast-digital-tomosynthesis-versus-contrast-enhanced-mammography-comparison-of-diagnostic-application-and-radiation-dose-in-a-screening-setting
#37
JOURNAL ARTICLE
Luca Nicosia, Anna Carla Bozzini, Filippo Pesapane, Anna Rotili, Irene Marinucci, Giulia Signorelli, Samuele Frassoni, Vincenzo Bagnardi, Daniela Origgi, Paolo De Marco, Ida Abiuso, Claudia Sangalli, Nicola Balestreri, Giovanni Corso, Enrico Cassano
This study aims to evaluate the Average Glandular Dose (AGD) and diagnostic performance of CEM versus Digital Mammography (DM) as well as versus DM plus one-view Digital Breast Tomosynthesis (DBT), which were performed in the same patients at short intervals of time. A preventive screening examination in high-risk asymptomatic patients between 2020 and 2022 was performed with two-view Digital Mammography (DM) projections (Cranio Caudal and Medio Lateral) plus one Digital Breast Tomosynthesis (DBT) projection (mediolateral oblique, MLO) in a single session examination...
April 22, 2023: Cancers
https://read.qxmd.com/read/36910740/4d-digital-anthropomorphic-breast-phantom-for-iodinated-contrast-enhanced-imaging
#38
JOURNAL ARTICLE
Dan Li, Andrey Makeev, Stephen J Glick
PURPOSE: Differentiating between benign and malignant masses is one of the biggest challenges in breast imaging. The challenge is ingrained in the similarity of the attenuation coefficients between different types of lesion tissues and fibroglandular tissues. Contrast-enhanced imaging techniques can take advantage of the differing metabolism in different tissues, therefore, potentially allowing better differentiation of malignant and benign lesions. To facilitate the development and optimization of such technologies, we propose a fully digital 4D phantom that features time-varying enhancement patterns for different tissue types...
February 2023: Journal of Medical Imaging
https://read.qxmd.com/read/36804294/image-augmentation-based-on-variational-autoencoder-for-breast-tumor-segmentation
#39
JOURNAL ARTICLE
K Balaji
RATIONALE AND OBJECTIVES: Breast tumor segmentation based on Dynamic Contrast-Enhanced Magnetic Resonance Imaging is significant step for computable radiomics analysis of breast cancer. Manual tumor annotation is time-consuming process and involves medical acquaintance, biased, inclined to error, and inter-user discrepancy. A number of modern trainings have revealed the capability of deep learning representations in image segmentation. MATERIALS AND METHODS: Here, we describe a 3D Connected-UNets for tumor segmentation from 3D Magnetic Resonance Imagings based on encoder-decoder architecture...
February 15, 2023: Academic Radiology
https://read.qxmd.com/read/36804161/transfer-learning-with-different-modified-convolutional-neural-network-models-for-classifying-digital-mammograms-utilizing-local-dataset
#40
JOURNAL ARTICLE
Mohammed Tareq Mutar, Mustafa Majid, Mazin Judy Ibrahim, Abo-Alhasan Hammed Obaid, Ahmed Zuhair Alsammarraie, Enam Altameemi, Tara Farouk Kareem
BACKGROUND: Breast cancer is the leading cause of cancer-related mortality among women worldwide. The incidence and mortality increased globally since starting registration in 1990. Artificial intelligence is being widely experimented in aiding in breast cancer detection, radiologically or cytologically. It has a beneficial role in classification when used alone or combined with radiologist evaluation. The objectives of this study are to evaluate the performance and accuracy of different machine learning algorithms in diagnostic mammograms using a local four-field digital mammogram dataset...
January 2023: Gulf Journal of Oncology
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