Articles tagged with Clinical Imaging
A retrospective study found that higher coronary artery calcium score, higher pulmonary artery-to-aorta ratio, and lower thoracic skeletal muscle index independently predicted worse overall survival. The PA-to-aorta ratio was the most important predictor of overall survival.
Researchers found that AI-enhanced diagnosis helps doctors accurately detect fetal congenital heart disease, with fellows making the most accurate diagnoses. The new system uses graphical charts to represent the AI's analysis of ultrasound videos, improving accuracy and trust among medical professionals.
A new multimodal eye scanner combining optical coherence tomography (OCT) and Raman spectroscopy enables the detection of molecular information in the internal structure of the eye. This technology aims to detect neurodegenerative diseases, such as Alzheimer's and Parkinson's, at an early stage, improving treatment options.
A study published in JAMA Network Open found that half of all women will experience at least one false positive mammogram over a decade of annual breast cancer screening with 3D mammography. The risk of false positives is lower for women screened every other year, and non-dense breasts also show a lower false positive risk.
Researchers from Osaka University discovered a group of brain cells in the claustrum that control stress-induced anxiety behaviors. Activating these cells led to anxious behavior, while deactivating them increased resilience against chronic stress.
The annual conference will cover important themes such as decision-making in coronary revascularization, specific treatment of complex lesion subsets, and the use of adjunctive tools. CTO Plus 2022 will feature 12 live case transmissions performed by world-class faculty members.
The American Roentgen Ray Society has awarded two 2022 ARRS Scholarships to Sean Woolen and Bradley Allen, providing a total of $180,000 in funding for their radiological research projects. The scholarships aim to advance emerging scholars and prepare them for leadership positions.
Researchers at TUM integrated dark-field X-ray imaging into a clinical CT scanner, providing additional information on fine tissue structures. The new prototype can capture both conventional and dark-field X-ray images in a single scan, potentially improving lung disease diagnosis and kidney stone differentiation.
Samuel Galgano and Pankaj Gupta have been named the 2022 Melvin M. Figley Fellow in Radiology Journalism and the 2022 Lee F. Rogers International Fellow in Radiology Journalism, respectively. They will attend the 2022 ARRS Annual Meeting and participate in the Editor’s Forum.
The American College of Physicians (ACP) has released two new clinical guidelines for the diagnosis and management of diverticulitis. The guidelines recommend that clinicians manage most patients with uncomplicated disease in outpatient settings without antibiotics, while patients with complicated disease should be referred for colonos...
Dr. Mark S. Parker, MD, FACR, has been recognized as the 2022 ARRS Distinguished Educator for his outstanding contributions to radiological education. He will be formally recognized at the ARRS Annual Meeting in New Orleans, LA on May 1, 2022.
Researchers at Beckman Institute have defined a mathematical framework for identifying hallucinations in biomedical images. This framework will enable researchers and radiologists to quantitatively assess their image reconstruction methods and prevent patient misdiagnosis.
Researchers found that delirium and spatial neglect are associated with widespread dysfunction of brain networks, including arousal, attention, and spatial orientation. This imbalance may contribute to chronic cognitive decline after stroke.
The integration of optical sensing into orthopedic surgical devices has the potential to increase accuracy and improve outcomes in musculoskeletal repair. Researchers explore various types of optical sensing, including spectroscopy and imaging, to address unmet clinical needs in orthopedic surgery.
A recent study published in the Journal of the American College of Cardiology found that fetal MRI can detect at least one other abnormality in almost 57% of fetuses with heart defects. Additionally, approximately a quarter of all fetuses had structural brain abnormalities, regardless of the severity of the heart defect.
Researchers developed a new photoacoustic imaging technique to visualize deep tissues using a contrast agent based on surfactant-stripped semiconducting polymer micelles. The method achieved the deepest penetration depth among PA preclinical studies, exceeding 5.8cm in tissue thickness.
Researchers found that adapted D-dimer thresholds are safe and efficient for ruling out acute pulmonary embolism, even in high-risk patient subgroups. Strategies with adapted thresholds have up to 3-fold increased efficiency, but also higher predicted failure rates.
Researchers developed an AI system to detect inflammation in ulcerative colitis patients using live colonoscopy videos. The system accurately predicted remission cases with high accuracy, reducing the need for invasive biopsies.
The National Covid Chest Imaging Database (NCCID) is a centralised database containing over 10,000 medical images from patients across the UK. It has already been used to develop AI-powered diagnostic tools and predict COVID-19 mortality risk in the UK.
Researchers used a new X-ray technique to capture detailed images of lung vessels affected by COVID-19. The study revealed that severe infection causes 'shunting' of blood between oxygenated and nutrient-rich systems, leading to reduced oxygenation.
Researchers at Technical University of Munich have developed a new X-ray method for respiratory diagnostics using dark-field chest imaging, allowing for early detection and treatment follow-up of respiratory ailments. The technology reduces radiation dose by a factor of fifty compared to traditional computed tomography.
The University of Missouri is developing an online certificate program for clinical engineers through a $2.6 million grant from the Missouri Department of Higher Education and Workforce Development. The program aims to increase the number of trained and qualified clinical engineers in the workforce, particularly in rural communities.
Researchers developed a method to apply deep learning to polarization-sensitive optical coherence tomography, enhancing cancer diagnosis. The technique enables OCT systems to detect abnormalities on a deeper level, differentiating microstructural features such as collagen fiber orientations.
Researchers developed an image-based detection system using artificial intelligence models to diagnose COVID-19 from chest X-rays. The model accurately differentiated between COVID-19, pneumonia, and healthy patients, showing great promise for precision medicine.
Researchers developed a non-contact method using thermal images to detect delayed healing of venous leg ulcers. The study shows textural analysis can predict whether a wound needs extra management as early as week two.
Researchers developed an infrared thermal imaging camera to assess filarial lymphoedema status. The tool helps monitor disease progression and detect sub-clinical cases, improving diagnosis and care for those affected by this devastating tropical disease.
A NIH-led team has noninvasively visualized photoreceptors in the retina with greater detail than ever before, improving resolution by a third. This breakthrough technique enables better tracking of degenerative changes and may lead to earlier detection and treatment of vision loss diseases.
The Chan Zuckerberg Initiative (CZI) has awarded nearly $32 million in funding to support biomedical imaging researchers and technology development. The grants will focus on visualizing proteins in cells at near-atomic resolution to better understand health and disease.
The article reviews AI-assisted chest imaging analysis methods for COVID-19 diagnosis, demonstrating the potential of deep learning-based techniques. Establishing a database for public research and extracting lesions accurately are crucial to improve performance.
The American Roentgen Ray Society will convene its 2021 Annual Meeting as an all-virtual event from April 18-22, 2021. The meeting will offer world-class educational activities led by experts in radiology across various subspecialties.
A study found that 11.4% of second-opinion radiology reports were ignored by clinicians, with sonography and pediatrics having the highest rates. The cost of these ignored reports could be substantial, estimated at €53,700 or approximately $63,427.
A new study suggests that a simple urine test could significantly improve the detection of adrenal cancer by detecting excess adrenal steroid hormones. The test was found to be more accurate than imaging tests in diagnosing cancerous adrenal masses, potentially reducing unnecessary surgeries and healthcare costs.
The new micro-CT imaging technology has the potential to transform the landscape of imaging by lowering radiation doses and improving image resolution. The system detects how X-rays bend and measure absorption and phase changes for high contrast visibility.
A new study published in Radiology found that 3D color-flow ultrasound is an effective, noninvasive method for measuring blood flow with high accuracy and reproducibility. The technique overcomes limitations of current methods such as blood pressure and 2D ultrasound, which provide only surrogate metrics or are prone to errors.
The DynamX Bioadaptor combines acute performance with unique benefits of arterial 'uncaging', allowing for positive adaptive remodeling and reduced target vessel revascularization. This innovation in device design may mitigate the persistent annualized event rate beyond one year.
A review of pediatric COVID-19 imaging findings reveals unique characteristics, such as the halo sign and subpleural sparing. These features can help radiologists narrow the differential diagnosis, leading to optimal patient care.
The Fleischner Society statement provides guidance on the use of chest imaging in COVID-19 management, recommending its use in patients with worsening respiratory status or moderate to severe features. The panel also found that CT is appropriate in patients with functional impairment and/or hypoxemia after recovery from COVID-19.
Liangzhong Xiang's team at OU aims to create a 3D scanner using X-ray-induced Acoustic Computed Tomography (XACT) for real-time radiation dose delivery. The technology may decrease treatment toxicity and improve clinical outcomes for cancer patients.
A nurse-led follow-up service has improved patient care for those with early-stage lung cancer by increasing clinic capacity, reducing waiting times, and ensuring continuity of care. The service also promotes junior medical training and is well-received by patients and the multidisciplinary team.
A multidisciplinary team at Kaiser Permanente developed a complete imaging history definition, including four prompts for date, location, pain, and concern. This led to a significant increase in orders containing all four components, from 16% to 52%, and improved mean character count of entered histories.
A new study published in Annals of Emergency Medicine highlights the potential for emergency departments to reduce low-value imaging tests and associated costs. By analyzing data from a statewide quality network, researchers estimate that implementing benchmark standards could avoid $3.8 million in annual spending on unnecessary care.
The EAPCI has generated consensus statements detailing the clinical utility of IC imaging, based on existing clinical evidence and contemporary best practice. IC imaging is beneficial for guiding percutaneous coronary interventions (PCI) and understanding stent failure mechanisms.
Jonathan S. Lewin, a renowned expert in interventional and intraoperative MR imaging, has received the 2019 ARRS Gold Medal for his distinguished contributions to radiology. With over 200 peer-reviewed scientific manuscripts published, he is a pioneer in advancing knowledge and skills in radiology.
A study found that clinicians over-order imaging for breast pain, despite a weak correlation with breast cancer. Most respondents (72%) believe there is no strong link between breast pain and breast cancer.
A workshop published a roadmap for AI in medical imaging, highlighting key research themes and prioritizing foundational machine learning research. The report emphasizes the need for collaboration among professionals, funding agencies, and institutions to develop innovative imaging technologies.
Caterina Strambio De Castillia has been named a CZI Imaging Scientist and received over $1 million in grant funding to develop standardized tools for microscopic imaging. The grant aims to facilitate sharing of reproducible datasets, analytical procedures, and analysis results among biomedical researchers.
Researchers repurposed an algorithm from Netflix's movie preference prediction competition to create a method for acquiring classical Raman spectroscopy images of biological tissues at unprecedented speeds. This advance could make the simple, label-free imaging method practical for tumor detection or tissue analysis.
A new machine learning algorithm combined with a handheld smartphone device can accurately estimate the gestational age of premature newborns. The technology has the potential to aid healthcare workers in remote and low-income countries, where preterm births are a leading cause of child mortality.
The Society of Breast Imaging has partnered with Oxford University Press to launch the Journal of Breast Imaging, providing a platform for high-quality, evidence-based content on breast imaging. The journal aims to advance the field of breast imaging, improving patient care and outcomes.
A new information tool helps parents make informed decisions about their children's care after minor head trauma, leading to increased parent knowledge and reduced healthcare utilization. However, the tool did not reduce the rate of CT imaging in emergency departments.
The Pediatric NEXUS Head Computed Tomography Decision Instrument (DI) reliably guides blunt trauma imaging decisions and may decrease head CT imaging in low-risk pediatric populations. The study found that the decision instrument could significantly reduce head CT utilization by up to 34%.
A new all-optical ultrasound imager has been demonstrated for video-rate, real-time 2D imaging of biological tissue. The system offers significant flexibility in switching between different imaging modes, such as 2D and 3D imaging, without the need to swap probes.
A study by UTHealth found that simple imaging on a non-contrast CT scan can be sufficient to determine thrombectomy treatment in stroke patients, achieving identical clinical outcomes as advanced imaging. This basic technique may broaden access to life-saving surgery for more patients, especially in remote areas.
The new instrument uses OCT-based technology with an electrically tunable lens to produce higher quality images of the entire eye. This enables whole-eye imaging, improving patient experience and potentially reducing instrument costs.
Researchers have discovered a new marker, Ratiometric thrombin-Activatable Cell Penetrating Peptide, to identify joints with established arthritis and predict subsequent swelling. This imaging tool may help clinicians monitor arthritis development and progression, enabling early intervention.
Researchers develop a new imaging technique to assess early-stage embryo quality, improving IVF outcomes. The hyperspectral imaging method measures metabolic differences in embryos, providing an objective measure of viability.
A new framework allows physicians to tailor radiation dose to achieve optimal image quality for pediatric patients. The framework considers the interdependency of quality, dose, and size, providing a basis for optimizing individual scan parameters.
Practical imaging evaluation of neonatal soft-tissue tumors is crucial for accurate diagnosis, and clear understanding of imaging techniques can improve patient outcomes. Characteristic clinical and imaging findings aid in diagnosing these neoplasms, which may require biopsy or excision for definitive diagnosis.
A study published in Academic Emergency Medicine found that integrating clinical decision support into electronic medical records decreases high-cost imaging utilization, especially among higher users. This standardizes care delivery and improves compliance with evidence-based guidelines.
Researchers developed a scanner that unites optical, radioluminescence, and photoacoustic imaging to evaluate thin-cap fibro atheroma (TCFA) in the earliest stages. This could lead to a paradigm shift in coronary artery disease diagnosis and assessment.