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Hologic Inc. has been issued a patent for a device designed to reduce X-ray scatter for use in 2D mammography and tomosynthesis imaging systems. The patent, filed in 2023 and published in 2024, aims to enhance image quality and tissue contrast by reducing scattered X-rays. The device is particularly beneficial for imaging thick breasts and offers advantages such as improved diagnostic accuracy and reduced recalls. The patent details the design and operation of the anti-scatter grid used in the imaging system. [Extracted from the article]

A report from New York University (NYU) discusses research findings on invasive lobular carcinoma (ILC), the second-most common histologic subtype of breast cancer, constituting 5% to 15% of all breast cancers. The research highlights the challenges in detecting ILC on mammography and ultrasound, with digital breast tomosynthesis (DBT) showing improved sensitivity. Additional screening modalities such as breast MRI and contrast-enhanced mammography are also discussed for their effectiveness in detecting ILC. The study concludes that supplemental screening methods increase the detection of ILC, with MRI demonstrating the highest sensitivity. [Extracted from the article]

The article discusses a study on the use of AI assistance in improving tissue matching accuracy in Digital Breast Tomosynthesis interpretation. The research found that AI assistance reduced errors in tissue site matching, particularly benefiting non-expert radiologists analyzing challenging cases. The study showed a significant improvement in localization accuracy with the use of dynamic AI-assisted tissue matching, potentially enhancing cancer detection rates in breast cancer screening. [Extracted from the article]

A patent has been issued for a method to detect internal breast tissue motion during imaging procedures, specifically in tomosynthesis. This technology aims to improve the accuracy and sensitivity of breast x-ray systems by identifying motion within the breast during imaging. The method involves compressing the breast, acquiring tomosynthesis images at different angles, and generating motion scores based on differences in boundary representations. This innovation by Hologic Inc. could enhance diagnostic and screening accuracy in breast cancer detection. [Extracted from the article]

A patent has been issued to Hologic Inc. for a method and system for gain calibration and image correction in breast tomosynthesis. This technology aims to improve the accuracy of breast cancer detection by providing physicians with clearer, three-dimensional images of the breast. The patent outlines a detailed process for gain calibration at various imaging parameters and projection angles, enhancing the quality of tomosynthesis images for better evaluation of patients' breast health. [Extracted from the article]

Lunit, a provider of AI-powered solutions for cancer diagnostics, has collaborated with BreastScreen New South Wales (BSNSW) to integrate AI technology into a national cancer screening program. This groundbreaking initiative, three years in the making, aims to enhance early breast cancer detection in the state. The integration of Lunit INSIGHT MMG as a second reader in mammography exams targets women aged 50-59, with plans for broader AI use as additional clinical data becomes available. The project sets a global benchmark for similar programs and reflects Lunit's expanding role in transforming breast cancer screening on a global scale. [Extracted from the article]

Researchers from Menoufia University conducted a study to evaluate the diagnostic efficacy of digital breast tomosynthesis (DBT) compared to digital mammography in detecting suspicious breast lesions. The study included 60 female patients who underwent both mammography and 3D tomosynthesis. Results showed that DBT classified more cases as BIRADS 5 compared to mammography, indicating its potential for improved precision in identifying breast abnormalities, especially in dense breast tissue. DBT has been recognized as a significant advancement in three-dimensional breast imaging, offering enhanced performance and superior diagnostic quality. [Extracted from the article]

A study conducted in Mill Valley, California, evaluated the use of digital tomosynthesis (DT) for identifying anatomic dental and maxillomandibular structures in dogs. The research compared DT images to conventional intraoral dental radiography (DR) on 16 canine cadaver heads and found that each imaging modality was superior for certain anatomic structures. While no modality proved to be definitively better, digital tomosynthesis was deemed a suitable tool for identifying specific anatomic structures in the dog skull. [Extracted from the article]

A patent has been issued for systems and methods designed to guide patients during breast imaging procedures, particularly mammography and tomosynthesis. The technology aims to reduce patient discomfort, ensure proper positioning, and improve imaging quality by utilizing guidance signals such as visible lights and audible noises. The patent, filed by inventors from various locations in the United States, is assigned to Hologic Inc. and focuses on enhancing the imaging experience for patients while maintaining imaging accuracy and efficiency. [Extracted from the article]

A recent study conducted at the University Hospital of Aachen in Germany compared the detection and classification of breast microcalcifications using a dedicated breast photon-counting CT (PC-BCT) with digital breast tomosynthesis (DBT). The study found that PC-BCT allows reliable detection of in-breast microcalcifications, but may not accurately assess their individual morphology. The research, supported by the Federal Ministry of Education and Research in Germany, concluded that PC-BCT is effective for detecting microcalcifications as long as they are not located in the posterior part of the breast. [Extracted from the article]

A recent study conducted at Ain Shams University compared the effectiveness of digital breast tomosynthesis (DBT) and digital mammography (DM) in detecting and characterizing breast cancer in women with dense and non-dense breasts. The study found that DBT had higher sensitivity, specificity, and diagnostic accuracy compared to mammography, particularly in dense breasts. The research suggests that DBT may lead to more accurate identification of breast lesions, reducing unnecessary recalls and negative biopsies. For more information, the study can be accessed in the QJM: An International Journal of Medicine, 2024,117(Supplement_2) published by Oxford University Press. [Extracted from the article]

A recent study conducted at Thomas Jefferson University explored the use of contrast-enhanced mammography (CEM) in improving the positive predictive value for diagnosing suspicious breast findings. The study involved 99 women with abnormal digital breast tomosynthesis (DBT) and/or ultrasound (US) results, and found that adding CEM to the diagnostic workup significantly increased the positive predictive value, potentially reducing unnecessary biopsies. The researchers concluded that incorporating CEM into the diagnostic process could enhance the accuracy of identifying malignant lesions and preventing unnecessary procedures. [Extracted from the article]

A recent study from the University of Sydney focused on breast cancer screening guidelines for women with dense breasts. The research found that there is a lack of consensus on supplemental screening for this group, with varying recommendations based on low-quality evidence. The study emphasized the need to improve the quality of guidelines to better inform breast cancer screening practices. For more information, the full report can be accessed in the JNCI Cancer Spectrum journal. [Extracted from the article]

A study conducted at Zuyderland Medical Center in Sittard Geleen, Netherlands, focused on the use of contrast-enhanced mammography (CEM) as a diagnostic tool for breast cancer screening. The research highlighted the potential of contrast-enhanced stereotactic biopsy (CESB) as an alternative to MRI-guided biopsy for 'CEM-only' lesions. The study aimed to provide insights into patient selection, procedural considerations, and current literature on CESB, offering a potentially cost-effective option for areas with limited access to MRI. [Extracted from the article]

A study conducted at Tianjin Medical University Cancer Institute and Hospital in China focused on evaluating the diagnostic performance of digital mammography (DM) and digital breast tomosynthesis (DBT) combined with AI-based strategies for breast masses less than or equal to 2 cm. The study utilized radiomics and deep learning methods to extract features from breast mass images for benign and malignant classification. Results showed that the combination of DM and DBT with AI-based strategies had higher diagnostic accuracy compared to individual models, with deep learning models demonstrating superior performance. The research concluded that AI-based methods, particularly deep learning, can significantly enhance diagnostic capabilities in breast cancer screening. [Extracted from the article]

A recent UCLA study published in the Journal of Breast Imaging found that Transpara's Breast AI can improve cancer detection by reducing false negative results in a diverse U.S. screening population. The AI accurately identified nearly 50% of false negative breast cancers, with the majority found in dense breasts and classified as luminal A subtype. This study highlights the potential of AI to enhance early detection of breast cancer, especially in dense breast tissue, ultimately leading to better health outcomes. [Extracted from the article]

A report by the Sports & Fitness Industry Association shows an increase in the number of people participating in sports and fitness activities in the U.S. The sporting-goods sector is seen as a solid investment opportunity, with Nike highlighted as a standout company despite recent stock fluctuations. Additionally, there is a growing focus on self-care, with companies like Hologic and Sera Prognostics offering innovative health technologies for women's health and prenatal diagnosis. [Extracted from the article]

A study conducted at Tehran University of Medical Sciences focused on the role of tomosynthesis in determining BI-RADS scores for individuals with indeterminate mammography results. The research involved 386 female patients and found that tomosynthesis clarified BI-RADS scores for over 99% of patients with previously indeterminate scores. The study suggests that tomosynthesis could serve as the primary supplementary imaging technique for cases with indeterminate BI-RADS scores, potentially offering significant benefits in breast cancer screening. [Extracted from the article]

A patent has been issued for heating systems and methods designed to improve the comfort and effectiveness of breast compression during mammography and tomosynthesis imaging. The technology involves a breast support platform with a heating system that warms the compression plate and front wall to reduce patient discomfort and potential movement during imaging. This innovation aims to enhance patient experience and encourage more individuals to undergo breast cancer screening, ultimately improving diagnostic accuracy and patient outcomes. [Extracted from the article]

A patent has been issued for membrane-based breast compression systems by inventors Rego and Vartolone, assigned to Hologic Inc. The technology aims to improve mammography and tomosynthesis imaging by reducing patient radiation exposure, ensuring uniform exposure, reducing image blurring, and allowing for more tissue imaging. The patent describes a compression element with a flexible membrane for breast imaging systems, addressing challenges such as patient discomfort and ensuring proper tissue coverage in the image receptor's field of view. This innovation could potentially enhance the quality of breast cancer screening and diagnostics. [Extracted from the article]

A patent application titled "System And Method For Training Sensor-Guided X-Ray Mammography System" was published online by inventors from France. The application focuses on improving the accuracy of breast cancer detection through advanced imaging technologies. The system utilizes artificial intelligence and sensor data to train the mammography system for better positioning of the breast during imaging procedures, aiming to reduce missed cancers and unnecessary radiation exposure. The innovative approach addresses the challenges of training AI models without compromising patient data privacy or altering clinical workflows. [Extracted from the article]

A recent study from King Saud University in Riyadh, Saudi Arabia, compared the effectiveness of digital mammography (DM) and synthetic mammography (SM) in breast cancer screening. The study found that while SM was better at detecting microcalcifications, DM still showed higher overall diagnostic accuracy and image clarity. Therefore, while SM offers some advantages, it is not yet able to replace DM in breast cancer screening. Researchers analyzed images from 375 women aged 40-65 who underwent DM with digital breast tomosynthesis at King Khaled University Hospital from 2020-2022. [Extracted from the article]

A recent study from the University of Michigan examined the use of digital tomosynthesis (DTS) for assessing postoperative acetabular fractures and pelvic ring injuries. The research found that DTS was effective in evaluating reduction and hardware placement following surgical treatment, with lower radiation doses compared to traditional computed tomography (CT) scans. The study suggests that DTS may have clinical utility in orthopedic surgery and warrants further investigation. For more information, readers can access the full article in Frontiers in Surgery. [Extracted from the article]

A patent has been issued for systems and methods for applying force to breasts for imaging by Hologic Inc. The technology aims to improve breast imaging by compressing the breast with a target force based on prior x-ray images or distance measurements. This innovation addresses challenges such as patient discomfort during compression and ensuring proper tissue coverage for accurate imaging. The patent outlines methods for guiding compression and utilizing tactile feedback to enhance the imaging process. [Extracted from the article]

A patent application titled "Systems And Methods For Measuring Movement Of A Compressed Breast" was published online by inventors REN, Baorui and STEIN, Jay A. The technology aims to address challenges in mammography and breast tomosynthesis related to patient discomfort and image quality. The method involves emitting x-ray energy towards the breast and a marker, detecting the energy, generating an image, comparing characteristics, and sending a signal when deviations occur. This innovation could potentially improve breast cancer screening procedures and patient experience. [Extracted from the article]

A recent study conducted at Washington University focused on automated breast density assessment for full-field digital mammography and digital breast tomosynthesis. The research aimed to develop a deep learning model to estimate Breast Imaging Reporting and Data System (BI-RADS) density from mammograms. The study included a diverse cohort of women, with 27% non-Hispanic Black women in the Washington University cohort and 42% in the Emory validation cohort. The findings showed substantial agreement between the algorithm's density estimation and radiologists' assessments, indicating potential for clinical use and risk prediction. [Extracted from the article]

A patent application titled "Breast Biopsy And Needle Localization Using Tomosynthesis Systems" by inventors DEFREITAS, Kenneth; LAVIOLA, John; MARK, Joseph; MILLER, Michael; NIKLASON, Loren; SMITH, Andrew P.; STEIN, Jay; WU, Tao, and assigned to Hologic Inc., focuses on methods of wire and needle guidance into the breast using breast tomosynthesis imaging technology for biopsies. Tomosynthesis is a 3D breast x-ray imaging method that offers superior contrast visibility, potentially revealing pathologies not visible with standard mammography or other methods. The patent application details systems and methods for tomosynthesis imaging, needle and wire localization, and biopsy equipment design. [Extracted from the article]

A patent application titled "Breast Compression And Imaging Systems And Methods" by inventors Edwards, Rego, St. Pierre, Vartolone, and Wells, assigned to Hologic Inc., was published online on October 17, 2024. The technology aims to improve breast compression during mammography and tomosynthesis imaging procedures to reduce patient discomfort, ensure proper tissue coverage, and enhance image quality. The method involves using a compression paddle with markers to automatically apply compression force and acquire images while the breast is compressed, ultimately enhancing the efficiency and accuracy of breast imaging systems. [Extracted from the article]

A patent application titled "Biopsy Positioner for Mammography Imaging System" was published online by inventors from France. The application focuses on improving mammography imaging procedures, particularly for breast cancer screening and diagnosis. The invention aims to enhance the effectiveness of spectral mammography by providing a system that allows for better positioning and guidance of biopsy devices during imaging procedures. The patent application details the design and functionality of the proposed biopsy positioner for mammography systems. [Extracted from the article]

A patent has been issued for a system that enables fast 3D radiography using multiple pulsed X-ray sources in motion. This technology is particularly beneficial for breast cancer screening and diagnostics, offering improved visualization and reduced radiation dose compared to conventional methods. The system allows for real-time image acquisition and analysis, making it suitable for various applications beyond breast cancer screening, such as chest diagnosis for COVID and security inspections. [Extracted from the article]

Researchers at the University of Arizona Health Sciences are developing a new breast cancer screening technology funded by a $3.3 million grant from the National Cancer Institute. The technology, called advanced breast computed tomography (CT), aims to provide a more accurate and comfortable alternative to mammograms by creating high-resolution 3-D images without requiring breast compression. The team hopes this method will improve early cancer detection, particularly for women with dense breasts, and potentially enhance outcomes for patients. The research, led by Dr. Srinivasan Vedantham, will focus on refining the CT scanner prototype and recruiting volunteers to test the system against 3-D mammography, the current standard in breast cancer detection. [Extracted from the article]

A recent study from the Medical University of Vienna discusses the development of 3D printable materials that mimic human tissues after the uptake of iodinated contrast agents for radiological phantoms. These phantoms provide accurate models with defined iodine concentrations, allowing for the simulation of anatomically correct lesions in medical imaging. The research highlights the potential applications of these materials in radiographic detectability studies and calibration standards for various imaging modalities, including mammography and CT scans. For more information, readers can access the full article in Biomimetics. [Extracted from the article]

The article discusses a clinical trial, NCT06643767, evaluating the Bexa Breast Examination (BBE) as a solution for early breast cancer detection. The study aims to compare the BBE to digital breast tomosynthesis in detecting breast masses and cancer in women over 30. The Bexa device uses pressure elastography and focused ultrasound to identify abnormal breast masses, providing immediate results and potentially reducing unnecessary referrals for additional imaging studies. The trial is not yet recruiting participants and is expected to be completed by May 31, 2025. [Extracted from the article]

A patent application by inventors Chui, Haili, Liu, Xiaomin, and Zhang, assigned to Hologic Inc., describes a method for synthesizing low-dimensional image data from high-dimensional image data for breast cancer screening and diagnosis. The method involves processing image data of a patient's breast tissue, generating a high-dimensional grid, determining probabilities of objects, and creating a lower-dimensional format image for display. This innovation aims to enhance the processing, synthesis, and display of breast image data, potentially improving screening and diagnosis processes in the field of oncology. [Extracted from the article]

A study conducted at the Hospital of the University of Pennsylvania compared the outcomes of baseline and subsequent rounds of abbreviated breast MRI (AB-MRI) screenings in individuals with dense breasts at average risk for breast cancer. The research found that AB-MRI screenings had a higher cancer detection rate than digital breast tomosynthesis for baseline screenings. Subsequent rounds of AB-MRI screenings showed lower abnormal interpretation rates while maintaining a high cancer detection rate, with all cancers detected being early-stage and node-negative. The findings support the use of sequential AB-MRI for supplemental screening in individuals with dense breasts, although further investigations are needed to optimize the screening interval. [Extracted from the article]

A study conducted at the David Geffen School of Medicine at UCLA evaluated the effectiveness of artificial intelligence (AI) in detecting false negative breast cancers on screening mammograms. The AI algorithm detected a significant number of false negative cancers that were missed by radiologists, particularly in cases of luminal A invasive malignancies. The research suggests that AI could complement radiologists in real-world settings, especially in digital breast tomosynthesis (DBT) examinations. The study was supported by the National Institutes of Health and published in the Journal of Breast Imaging. [Extracted from the article]

A patent application titled "Tomosynthesis Gain Calibration And Image Correction" was submitted by inventor REN, Baorui and assigned to Hologic Inc. The application focuses on methods and systems for calibrating and correcting breast images in tomosynthesis, a technique used for breast cancer screening. The invention aims to improve the accuracy and clarity of breast imaging by generating final gain maps for different imaging parameters and projection angles. This development could enhance early detection and diagnosis of breast cancer, benefiting women's health. [Extracted from the article]

A recent study conducted at the H. Lee Moffitt Cancer Center and Research Institute in Tampa, Florida, highlighted the importance of early detection in reducing breast cancer mortality and morbidity. The study emphasized the use of mammography and digital breast tomosynthesis for breast cancer screening in individuals at average, intermediate, and high risk. Additionally, the research recommended screening with breast MRI for high-risk patients, following evidence-based guidelines from the American College of Radiology Appropriateness Criteria. This peer-reviewed study provides valuable insights into female breast cancer screening practices and methodologies. [Extracted from the article]

A recent study conducted at Bangabandhu Sheikh Mujib Medical University in Dhaka, Bangladesh, focused on the use of digital breast tomosynthesis (DBT) for the early detection of malignant breast microcalcifications in women suspected of having breast cancer. The study found that DBT demonstrated high sensitivity (100%) and specificity (85.7%) in detecting malignant microcalcifications, with an overall accuracy of 97.1%. The researchers concluded that DBT could be a valuable tool for the early detection of breast cancer, particularly in cases involving microcalcifications. [Extracted from the article]

A patent application by Hologic Inc. titled "System And Method For Hierarchical Multi-Level Feature Image Synthesis And Representation" has been made available online. The patent application describes a method for processing breast tissue image data to generate a set of image slices that collectively depict the patient's breast tissue. The method involves applying filters to each image slice to recognize assigned features of high-dimensional objects in the breast tissue. The generated feature maps are then combined into an object map, which indicates the probability of the high-dimensional object's presence in each image slice. The method can also create a 2D synthesized image based on the object maps. [Extracted from the article]

A new report from Ben-Gurion University of the Negev discusses the use of Digital Breast Tomosynthesis (DBT) in breast cancer detection. DBT is a three-dimensional imaging technique that improves diagnostic precision compared to traditional two-dimensional mammography. The report proposes an advanced Computer-Aided Detection (CAD) system that utilizes vision transformers to enhance DBT's diagnostic efficiency. The study found that the Swin Transformer architecture outperformed other models, achieving an impressive AUC score of 0.934. The integration of attention mechanisms in the CAD system provides a visual narrative of the model's decision-making process, which can improve breast cancer diagnostic precision. [Extracted from the article]

A patent application filed by Shanghai United Imaging Healthcare Co. Ltd. describes a system and method for image reconstruction in tomography systems. The invention aims to improve the quality of reconstruction images by removing artifacts caused by high attenuated substances. This technology has potential applications in healthcare and can enhance diagnostic sensitivity while reducing patient re-examination frequency. The system includes a storage device and a processor that perform operations such as obtaining projection images of an object, determining an initial range of a target region on the projection image, and generating a three-dimensional image of the object based on the target regions. [Extracted from the article]

A study conducted at Kaohsiung Veterans General Hospital in Taiwan compared the efficacy of digital breast tomosynthesis (DBT) and digital mammography (DM) in breast cancer screening and their impact on long-term overall survival (OS). The study analyzed 48,549 mammography examinations between 2011 and 2015, identifying 545 women diagnosed with breast cancer. The results showed that DBT was significantly associated with early breast cancer detection and higher survival rates compared to DM. The study suggests that screening with DBT can improve early breast cancer diagnosis and survival rates. [Extracted from the article]

A recent study conducted by researchers at the University of Sydney examined the effectiveness of digital breast tomosynthesis (DBT) in breast cancer screening for women with dense breasts and additional risk factors. The study found that DBT may be more accurate than digital mammography (DM) in detecting breast cancer in symptomatic women. However, there is limited evidence on the accuracy of DBT compared to other imaging modalities, particularly for women with a personal or family history of breast cancer. The researchers recommend further research to determine the relative effectiveness of different imaging tests in this population. [Extracted from the article]

A recent analysis of 13 years' worth of screening data conducted by researchers at Yale Cancer Center has found that digital breast tomosynthesis (DBT), a newer form of breast screening, is more effective at detecting breast cancer than traditional 2D digital mammography (DM). The study, published in Radiology, compared patient demographics, imaging results, and pathology reports from 35,544 DM screenings and 237,394 DBT screenings. The results showed that DBT had a higher rate of cancer detection and a lower false positive recall rate compared to DM. The researchers believe that DBT is an effective screening tool that catches cancers earlier and reduces the incidence of advanced cancer diagnoses. [Extracted from the article]

Siemens Healthineers received a new go-ahead from the FDA for what it described as its first fully redesigned mammography machine in over a decade. [ABSTRACT FROM AUTHOR]

A patent has been issued for a brassiere designed for use in mammography imaging procedures. The inventors recognized that many women are reluctant to undergo mammograms due to pain, discomfort, and radiation exposure. Existing solutions, such as flexing or pivoting compression paddles and breast cushions, have limitations. The patented brassiere includes inflatable chambers and cushions to provide increased comfort and better breast positioning during the imaging process. The invention aims to address the psychological, physiological, and sociological factors associated with mammography procedures to improve patient comfort. [Extracted from the article]

New research from the University of Munster in Germany suggests that screening with digital breast tomosynthesis plus synthetic mammography (DBT+SM) increases the detection of invasive breast cancer compared to digital mammography (DM). The study, which included over 49,000 participants, found that the detection rates of grade 2 or 3 breast cancers were higher with DBT+SM than with DM, particularly in women with dense breast tissue. These findings indicate that DBT+SM screening may improve the detection of more prognostically relevant breast cancers. Further information on this research can be found in the journal article "Increased detection of relevant breast cancers with DBT in mammography screening?" [Extracted from the article]

A 10-year study published in Radiology, a journal of the Radiological Society of North America, has found that digital breast tomosynthesis (DBT) improves breast cancer detection rates and reduces the rate of advanced cancers compared to conventional 2D digital mammography. DBT is an advanced form of mammography that reconstructs 3D images of the breast taken from different angles. The study analyzed data from 272,938 screening mammograms, with 1,407 cancers detected. DBT had a higher cancer detection rate and a lower rate of advanced cancers compared to mammography. The study suggests that DBT should be considered for use in screening mammography. [Extracted from the article]