Articles tagged with Radiology
Researchers at the University of Cincinnati are studying the use of neuroimaging to pinpoint the risk factors of stroke recurrence, which affects nearly 800,000 people annually in the US. The study aims to identify patients at higher risk for recurrent strokes by assessing imaging for signs of small vessel disease in the brain.
A Massachusetts General Hospital team developed an AI system to diagnose and classify brain hemorrhages using CT scan images. The system can provide the basis for its decisions by highlighting key features of each subtype.
Researchers from Ben-Gurion University of the Negev developed a system to monitor outgoing commands from CT equipment, detecting anomalies and alerting operators before execution. A second study looked at the potential to tamper with mammogram results using AI-powered image manipulation.
Researchers found a link between shoulder muscle brightness on ultrasound and type 2 diabetes, with low glycogen levels suspected as the cause. The study's findings suggest that radiologists can use ultrasound images to predict diabetic status in nearly nine out of ten patients.
A new study published in Radiology uses deep learning to predict Alzheimer's disease from brain imaging, achieving 100% sensitivity in detecting the disease an average of more than six years prior to final diagnosis. The algorithm has the potential to complement existing tests and provide opportunities for early intervention.
A new AI algorithm measures breast density at a high level of accuracy, comparable to experienced mammographers. The system has been successfully implemented in routine clinical practice and has the potential to standardize and automate breast density assessment.
A deep-learning model has been successfully used on real patients to assess dense breast tissue in mammograms with high accuracy. The model outperforms traditional prediction models, achieving a kappa score of 0.85 in clinical applications, and could lead to more consistent screening procedures nationwide.
A deep learning approach can identify nuanced mammographic imaging features specific to recalled but benign (false-positive) mammograms, distinguishing them from those identified as malignant or negative. The study achieved an area under the curve (AUC) of 0.76-0.91, indicating high performance in detecting false recalls.
A new study found that abdominal aortic calcification measured by CT scans is a strong predictor of future cardiovascular events, outperforming the widely used Framingham risk score. The research suggests that detecting calcification via routine CT scans could help identify patients at high risk and enable early interventions.
Researchers developed a new MRI technique that analyzes overlooked data to reveal brain cell density and connectivity. This may aid in diagnosing brain conditions such as Alzheimer's disease, multiple sclerosis, traumatic brain injury, and autism.
The study found a significant increase in secondary imaging interpretations across various modalities and body regions, driven by high-volume service families. Denial rates for these services were uniformly low, below 25%, contradicting conventional wisdom.
IVC filter placement and retrieval procedures declined over the last decade, with a notable shift towards radiologists and cardiologists performing placements in hospital outpatient settings. Retrieval rates increased but remained less than 15% across all specialties.
Richard L. Wahl, MD, has been recognized for his pioneering work in radioimmunotherapy, PET scans, and fusion imaging. His research has significantly contributed to understanding cancer prognosis, treatment response, and the importance of metabolic activity.
A study found that damage to brain pathways can lead to attention deficit in patients with subcortical stroke. The research used voxel-based lesion-symptom mapping and diffusion tensor tractography to identify the responsible impaired connections.
Recent studies by Case Western Reserve University's Anant Madabhushi show that his diagnostic imaging lab's 'deep learning' computers can accurately diagnose heart failure and detect various cancers. The machines offer valuable tools for pathologists and radiologists, helping them become more efficient in their work.
Ali Guermazi, the first radiologist to receive the award, has made significant contributions to identifying structural risk factors for osteoarthritis. His research and clinical trials have been published in top-tier journals and presented at international conferences.
PARP-1 levels are linked to targeted therapy resistance in ovarian cancer. Researchers have developed a method to image and measure PARP-1 using PET scans, which may predict efficacy and resistance to PARP inhibitors.
A new study presents contrast-enhanced subharmonic imaging (SHI) as a promising tool for detecting prostate cancers not identified by MRI. SHI provides improved contrast signal and tissue suppression, leading to better visualization of microvascular architecture.
A study using machine-learning algorithms and MRI analysis predicts the severity of neurologic impairment after spinal cord injury. The results show variable accuracy in classifying patients and identifying potential prognostic texture features.
A radiologist at the University of Virginia Health System has created a virtual reality teaching tool that puts viewers in the midst of complex procedures, revolutionizing medical education. The tool allows physicians and trainees to experience intricate procedures like an 'interventional radiology heptathlon' with unparalleled clarity.
A new machine learning model can accurately predict which patients are most likely to benefit from prostate multiparametric MRI (mpMRI), allowing for optimized patient selection and resource allocation. The model showed high accuracy in predicting PI-RADS category 4 or 5 lesions, with a sensitivity of 75% and specificity of 82%.
A pilot study demonstrates the safety and feasibility of freezing the posterior vagal trunk nerve, which carries hunger signals to the brain, resulting in significant weight loss. The procedure, known as cryovagotomy, showed a 3.6% average weight loss and nearly 14% decline in excess BMI.
Researchers found that talimogene laherparepvec, a genetically modified herpes virus, can be safely administered into active cancer in the liver to stimulate the immune system and destroy cancer cells. The treatment has been well-tolerated with minimal side effects.
A new study found that 3D-printed models of blood vessels are as effective as commercial models in training medical students, providing a more realistic experience. The 3D printing technology can reproduce patient anatomy, allowing trainees to practice with variations before real procedures.
A study finds that interrupting radiologists does not reduce diagnostic accuracy but changes their focus and increases time spent on cases, with more time spent on dictation screens.
A minimally invasive treatment called geniculate artery embolization (GAE) has been shown to significantly reduce knee pain and disability in patients with osteoarthritis. The treatment involves blocking key arteries in the knee to reduce inflammation and pain, resulting in improved range of motion and function.
A new study shows that interactive virtual reality (VR) technology improves accuracy and confidence among interventional radiologists when treating complex conditions like splenic artery aneurysms. The VR platform provides a 3D view of internal anatomy, allowing physicians to better plan their approach.
Despite significant increases in female radiology research, rates of publication have leveled off since 2000. The proportion of female authors in top radiology journals has increased, but progress remains slow.
A new study published in Radiology found that imaging services played a crucial role in managing Olympic athletes with sports-related injuries and disorders. The study showed that MRI was used for nearly 60% of all imaging performed for diagnosis, highlighting its importance in fast and relevant diagnoses.
A study presented at the ARRS 2018 Annual Meeting found that emergency patients are often given unnecessary head CT scans, leading to radiation exposure and healthcare costs. Motor vehicle accidents were associated with a higher rate of non-indicated CT examinations.
A study found that patients and caregivers seek information on their own after receiving inadequate pre-examination information from providers. RadiologyInfo.org is an online resource providing detailed information on medical imaging procedures and preparation.
A study found that full integration of digital breast tomosynthesis (DBT) significantly reduced false positive rates in breast cancer screening exams. DBT was also associated with a higher cancer-detection rate compared to traditional digital mammography.
Measurements taken on projected augmented reality holographic models are highly accurate, rivaling traditional 'gold standard' methods. The study's results demonstrate the potential of AR technology for educational, training, and research purposes.
Researchers trained machine learning models on radiologist reports to identify clinical concepts in CT scans, achieving an accuracy of 91%. This technology will help develop artificial intelligence to diagnose diseases and improve patient care.
Dr Mark Griswold PhD has been elected as a fellow of the National Academy of Inventors for his highly prolific spirit of innovation in creating outstanding inventions that have made a tangible impact on quality of life and economic development. He is renowned for pioneering research and innovations in biomedical imaging.
A high prevalence of complications related to opioid use disorders has been seen in emergency radiology patients, with skin and soft tissue infections, respiratory issues, and back pain being common. Imaging results often provided critical information to aid management plans and reduce mortality rates.
A new study presented at the Radiological Society of North America meeting found that hip steroid injections are associated with a higher incidence of bone death and collapse compared to control groups. The research showed that 22-24% of patients who received hip injections developed osteonecrosis, while 15-17% experienced bone collapse.
A new image-guided pulsed radiofrequency treatment has shown extraordinary results in relieving low back pain and sciatica. The procedure involves inserting a probe to deliver energy to the affected area, resolving herniation without thermal damage, and patients were largely pain-free within a day.
A study by Brigham and Women's Hospital reveals common clinical and radiologic patterns indicative of intimate partner violence (IPV) in radiology images. Radiologists can identify soft tissue injuries, extremity fractures, and facial fractures to spark a conversation with referring physicians about potential IPV.
A study presented at the Radiological Society of North America annual meeting found characteristic injuries among patients referred to domestic abuse and sexual assault programs. These injuries, including soft tissue injuries and extremity fractures, can alert radiologists to potential intimate partner violence. The findings suggest a ...
Researchers at Massachusetts General Hospital have developed a potential alternative to gadolinium-based contrast agents for magnetic resonance imaging (MRI). The new manganese-based agent Mn-PyC3A produced comparable image enhancement to the standard of care with rapid clearance and less likelihood of toxicity. The study used a baboon...
Researchers found infrared imaging to be more accurate than tactile inspection in detecting defects in lead aprons used to shield patients from radiation exposure. The technology reduces ionizing radiation exposure for inspectors and can identify smaller holes that may be missed through visual inspection.
Studies found that female athletes in track and field experienced more bone stress injuries and tendon abnormalities than other Olympic events. Researchers recommend early MRI imaging for early detection of bone stress reactions and pre-competition screening data for chronic lesion detection.
Collaborative nuclear medicine and radiology training options are proposed to address evolving practice needs, while an alternative view emphasizes the importance of independent training programs. Innovative theranostics advances in nuclear medicine are highlighted as a result of dedicated training programs.
Researchers found significant differences between mobile mammography patients and those at a cancer center, including higher recall rates and racial diversity. The study aims to develop targeted programs to increase screening rates among underserved populations.
A study found that less than half of detectable vertebral fractures are reported by radiologists, particularly in non-musculoskeletal radiologists. This under-reporting can lead to delayed diagnosis and treatment of osteoporosis, increasing the risk of future hip fractures.
The study found that utilization rates for musculoskeletal extremity imaging modalities increased significantly between 1994 and 2013, with MRI experiencing an initial period of rapid growth. The four most common modalities - radiography, ultrasound, MRI, and CT - saw increases in volume and per-beneficiary utilization.
Cinematic rendering technology produces photorealistic 3D images from CT and MRI data, enhancing medical education, patient-physician communication, and early disease detection. The technique has potential applications in surgical planning and improves physician-patient relationships.
As more adults are diagnosed with cystic fibrosis, radiologists must monitor the disease's complex and heterogeneous spectrum. The condition affects approximately 70,000 people worldwide, with up to 7% of cases diagnosed in adulthood, often with subtle manifestations.
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.
Researchers at UT Austin discovered systematic laws for perception in natural scenes, predicting object detection based on background properties. This finding has potential applications in radiology, security imaging, and camouflage design.
A survey of radiologists found that while they agree on the importance of patient-centered care, current practices are hindered by time and workload constraints. Social media and integrating reading rooms into clinics offer opportunities for better communication with patients.
A new ultrasound scoring system has been developed to identify thyroid nodules that require biopsy or follow-up. The system uses a risk stratification approach to classify nodule appearance and size, reducing unnecessary biopsies and improving cancer diagnosis accuracy.
A new study has investigated the use of one-needle versus two-needle procedures for ultrasound-guided irrigation in treating rotator cuff calcific tendinopathy. The results showed that using two needles was more efficient for hard calcifications, while one needle was sufficient for fluid calcifications.
The Society of Nuclear Medicine and Molecular Imaging recognized seven new SNMMI Fellows for their distinguished service and exceptional achievements in the field. The fellows include past SNMMI presidents, renowned experts, and leaders in nuclear medicine and molecular imaging.
Pomper is recognized for his work on developing new imaging agents targeting cancer and central nervous system processes. He oversees several federally funded programs at Johns Hopkins, advancing the field of molecular imaging.
A new study suggests that CT scans can be used to detect core muscle frailty in elderly patients with hip fractures, predicting survival rates and guiding treatment decisions. The research found that patients with better core muscle had significantly better survival rates over a 10-year period.
A recent study found that follow-up imaging is significantly less when initial emergency department (ED) ultrasound examinations are interpreted by a radiologist rather than a nonradiologist. Radiologists interpret the vast majority of ED ultrasounds, with 81.6% of cases handled by them and 36,788 cases handled by nonradiologists.
The American Roentgen Ray Society (ARRS) honors Norman J. Beauchamp Jr. and Robert A. Novelline for their contributions to medical imaging research and clinical practice. These gold medalists are recognized for their work in developing advanced MRI imaging techniques and advancing trauma diagnosis.
Researchers trained AI models to identify TB on chest X-rays, achieving a 96% accuracy rate. The models' performance was improved when combined with expert radiologist interpretation, increasing the diagnosis accuracy to nearly 99%.