A new study reveals AI's potential in reducing workload for radiologists and improving breast cancer detection rates, with favorable histopathologic characteristics associated with better prognosis. The technology has shown encouraging results for cancer detection, but evidence related to its use in real screening settings is limited.
A new study published in Radiology has found that ultrasound images can effectively classify adnexal lesions into classic and non-classic categories, with a sensitivity of 92.5% for diagnosing malignancy. The classic versus non-classic approach could help radiologists quickly assess lesions and avoid unnecessary surgery.
A new AI tool has been developed to classify breast density on mammograms with high accuracy, overcoming limitations of visual classification. The tool, TRACE4BDensity, showed 89% accuracy in distinguishing between low and high density breast tissue, and was validated by external experts.
Researchers found a high prevalence of long-lasting air trapping and small airways disease in COVID-19 survivors, regardless of initial infection severity. The study suggests that persistent respiratory symptoms may be related to inflammation or fibrosis of the small airways.
A large study found that patients with a history of allergic-like reactions to iodinated contrast media are susceptible to similar reactions from commonly used MRI contrast agents. Premedication or switching to a different MRI contrast agent may reduce risk in patients who have had previous contrast agent reactions.
A new study published in Radiology found that COVID-19 vaccine-associated myocarditis tends to be less severe and resolve quickly compared to other causes of myocarditis. The study analyzed data from 92 patients with cardiac MRI abnormalities and found that those with vaccine-associated myocarditis had less functional impairment and le...
A multicenter study found that COVID-19 breakthrough infections in fully vaccinated patients tend to be milder than those of partially vaccinated or unvaccinated patients. Fully vaccinated status was associated with a lower risk of requiring supplemental oxygen and ICU admission.
A new ultrasound technique using statistical shape modeling accurately predicts which infants with stable developmental dysplasia of the hip will develop normal hip structure. The method could spare many infants from unnecessary treatment and improve treatment outcomes.
A new study reveals that radiologist fatigue impacts performance differently depending on experience level. Less-experienced radiologists are more likely to recommend additional imaging for women undergoing breast cancer screening when interpreting digital breast tomosynthesis (DBT) images later in the day.
A new neuroimaging technique uses proton MR spectroscopy to detect biochemical changes in the brains of people with multiple sclerosis (MS) early in the course of the disease. The technique shows promise as a valuable tool in the care of MS patients, potentially leading to faster treatment evaluation and improved patient outcomes.
Researchers used ultra-high-resolution CT to assess new bone formation in 123 patients with cochlear implants. New bone formation was detected in 83% of patients and correlated with long-term residual hearing loss. The findings highlight the need for improved detection and monitoring methods.
A study found that nearly two-thirds of US states failed to follow CDC guidelines for prioritizing cancer patients for COVID-19 vaccinations. The lack of clarity in defining qualifying cancer diagnoses led to unequal vaccination priority, leaving vulnerable patients at risk.
Researchers found altered brain structures in fetuses exposed to alcohol, including increased corpus collosum volume and decreased periventricular zone volume. This study provides early evidence of the impact of prenatal alcohol exposure on brain development.
A study using CT-based imaging identified bone disease in a T. rex jaw, characterized by thickening and a mass with high fluorine content, supporting the diagnosis of tumefactive osteomyelitis. This non-invasive approach could revolutionize paleontology, allowing for the characterization of unique fossils without destruction.
A three-year study found that taking older blood thinners like warfarin and clopidogrel, as well as aspirin, significantly increases the risk of delayed intracranial hemorrhage. Researchers recommend follow-up CT scans for patients taking these medications after head trauma.
A study of 33 patients with COVID-19 infection during pregnancy found no evidence of brain development issues in the unborn child. The researchers used fetal MRI to evaluate the fetuses and concluded that a maternal SARS-CoV-2 infection has no effect on brain development.
A study presented at the Radiological Society of North America meeting found that 2.3% of college athletes with COVID-19 developed myocarditis, a potentially dangerous inflammation of the heart muscle. Cardiac MRI detected the condition in an alarmingly high proportion of cases, highlighting its value as a screening tool.
Research using fMRI technology reveals disruption in default mode network of adolescents and young adults with multiple concussions. The study found no difference in connectivity for those who experienced one or two concussions, but a disruption in the third group.
A new imaging technique can identify stroke patients with slow-growing ischemic cores, who are most likely to benefit from late thrombectomy. The study found that patients with symmetric collateral patterns had slower core growth and were more treatable.
A study found that people with an Alzheimer's gene mutation have disrupted white matter integrity, which may predict the onset of dementia. The researchers used advanced MRI techniques to compare carriers and non-carriers, finding lower structural connectivity in the frontoparietal control network.
A study published in Radiology found that an AI-based system can accurately triage breast MRIs in women with dense breasts, dismissing normal cases without missing cancers. The system showed promising results, dismissing about 40% of lesion-free MRIs and considering 90.7% of MRIs with lesions to be non-normal.
The study found that cardiac imaging methods became almost exclusively the domain of cardiologists, with reimbursement cuts reversing this trend. However, technological advances made competing exams appealing options, leading to a shift in utilization from cardiologist offices to hospital outpatient departments.
The new guidelines aim to improve scientific reproducibility, accurate comparisons, and avoid misinterpretations in interventional oncology studies. The panel recommended analyzing parameters such as overall survival, disease-free survival, and short-term complications per patient and procedure.
A new study finds that racial/ethnic minorities remain less likely to be eligible for lung cancer screening under the revised guidelines, highlighting the need for more nuanced risk models. Incorporating social determinants of health and family history could help address disparities in lung cancer screening eligibility.
A new study uses deep learning to predict breast cancer risk from mammograms, outperforming clinical risk factors in distinguishing between women who will develop cancer and those who won't. The findings have significant implications for breast cancer management, suggesting a potential role for AI as a second reader for radiologists.
The new QIBA profile provides a framework for evaluating the reliability of cartilage compositional imaging measurements, including T1rho and T2 mapping. It establishes minimum detectable changes in these values, enabling early detection of cartilage abnormalities and potentially preventing osteoarthritis.
Researchers developed prediction models to distinguish true-positives from false-positives in MRI screenings, reducing recalls and biopsies without missing cancers. The models, based on clinical characteristics and imaging findings, could have prevented 45.5% of false-positive recalls and 21.3% of benign biopsies.
A new AI model can quantify individual deviations from typical aging trajectories in patients with mild cognitive impairment, indicating potential for earlier diagnosis and treatment. The study found that the model's predicted age difference was significantly associated with cognitive decline and progression to Alzheimer's disease.
A new AI algorithm accurately predicts lung cancer risk from low-dose CT scans, outperforming established models and human clinicians. The algorithm may aid in optimizing follow-up recommendations for lung cancer screening participants.
A recent study published in Radiology found that regular exercise can reduce the long-term risk of bronchiectasis, a potentially serious airway disease. The study, which analyzed data from over 2,000 healthy young adults, found that preservation of cardiorespiratory fitness was associated with lower odds of developing bronchiectasis.
A study found that people living with HIV have a two to three times higher noncalcified coronary plaque burden than non-HIV healthy volunteers. Researchers emphasize the importance of adopting a heart-healthy lifestyle for those with HIV.
A study published in Radiology found that chest CT scans can assess body composition and predict mortality risk in people with chronic obstructive pulmonary disease (COPD). Higher intermuscular fat was linked to higher mortality rates, while subcutaneous adipose tissue was associated with lower risks.
A study published in Radiology found that digital breast tomosynthesis (DBT) reduces the rate of interval cancers, which are more aggressive than screen-detected cancers. The study suggests that DBT may contribute to lower breast cancer mortality by detecting rapidly growing cancers with poorer prognosis.
A large study of over half a million women found that skipping even one scheduled mammography screening before a breast cancer diagnosis significantly increases the risk of dying from the cancer. Regular participation in all scheduled screens confers the greatest reduction in risk of dying from breast cancer.
A machine learning algorithm helps differentiate between benign and premalignant polyps in CT colonography data, with a sensitivity of 82% and specificity of 85%. The findings suggest a role for machine learning-derived algorithms in boosting the effectiveness of CT colonography as a screening tool for colorectal cancer.
A study published in Radiology found that cocaine use significantly affects the progression of coronary artery disease, while HIV infection has a more profound effect on younger individuals. Radiomics analysis revealed distinctive contributions of different risk factors to changes in plaque over time.
Researchers found significant eye abnormalities in severe COVID-19 patients using MRI scans, suggesting the need for routine eye screening. The study also recommends dedicated exploration of eyes with high-resolution MRI, fundoscopy, and optical coherence tomography to detect nodules and monitor their impact.
New study reveals that breast cancer mortality rates have stopped decreasing among women aged 20-39, with distant-stage cancers on the rise. Researchers attribute this change to increased incidence of late-stage breast cancers, highlighting the importance of mammography screening for early detection.
A new ultrasound technique called MRI-guided focused ultrasound ablation (MRgFUS) effectively treats intermediate-risk prostate cancer with minimal side effects. Treatment was successfully completed in all 44 men, with no major adverse events and 93% disease-free at the treatment site.
A study published in Radiology found that digital breast tomosynthesis (DBT) improved cancer detection and reduced false negative rates compared to digital mammography. DBT also showed advantages in imaging women with dense breasts, leading to lower recall rates and more effective cancer screening.
A study using AI to analyze abdominal CT images found that visceral fat area is independently associated with future heart attacks and strokes. The analysis, which outperformed traditional BMI measures, may lead to more accurate cardiovascular risk assessments.
Research suggests that up to one-third of adult women with forearm fractures, particularly non-displaced ulnar fractures, may be victims of intimate partner violence. The study's findings highlight the need for radiologists to screen for intimate partner violence in these cases.
A new deep learning model predicts breast cancer risk with greater accuracy, leveraging subtle imaging biomarkers in mammograms. The model outperforms traditional risk assessment models, providing more accurate and cost-effective care for patients.
A study found that people who cook with biomass fuels like wood are at risk of suffering considerable damage to their lungs due to breathing in dangerous concentrations of pollutants and bacterial toxins. The researchers also found a smaller subset of biomass users who had very high levels of air trapping and abnormal tissue mechanics.
A new study finds that anxiety is independently associated with cognitive decline and a faster progression to Alzheimer's disease, even in patients without genetic risk factors or brain volume loss. The researchers recommend screening for anxiety disorders in elderly individuals to potentially slow cognitive decline.
A recent study has found that sleeve gastrectomy in adolescents leads to a significant increase in bone marrow fat and a decrease in bone density. The procedure, which restricts food intake, causes the stomach to take on a tube-like shape, leading to weight loss of up to 75 pounds.
Researchers at USF Health developed a 3D-printed nasal swab that performed as well as traditional flocked swabs, collecting viral cells and holding them for up to three days. The team printed over 100k samples in the first clinical trial.
Researchers developed an AI-powered method to detect Parkinson's disease from retinal images, identifying smaller blood vessels as key features. The approach is less costly and more accessible than traditional brain imaging techniques.
Research finds that women with food and housing insecurity are at risk of undiagnosed breast cancer due to lapses in follow-up appointments. The study, presented at the Radiological Society of North America meeting, found that these unmet social needs lead to longer intervals between diagnostic imaging and biopsy.
A study found that COVID-19 can lead to rare but potentially devastating neurological complications, including strokes, brain bleeds, and blocked blood vessels. Patients with pre-existing high blood pressure and/or type 2 diabetes were at higher risk for these complications.