Articles tagged with Computerized Axial Tomography
A novel AI architecture, relational reasoning network, accurately identifies anatomical landmarks in CT scans for orthodontic treatments. The model learns spatial relationships between landmarks without explicit image segmentation, achieving accuracy comparable to conventional methods.
Researchers used MRI scans and texture analysis to differentiate between two types of benign oral bone lesions, ameloblastomas and odontogenic keratocysts. The study found that certain pixel and voxel organizational parameters in the MRI images were statistically significant, enabling more accurate diagnosis and treatment planning.
A pediatric trauma team at Golisano Children's Hospital significantly reduced unnecessary CT scans, minimizing radiation exposure and healthcare costs. The team's efforts, which included adapting existing guidelines and developing new ones, resulted in a 45% reduction in non-indicated scans.
Researchers validate non-invasive ECGi technique to detect atrial fibrillation, providing detailed information about the electrical activity of the heart. This breakthrough reduces patients' exposure to ionising radiation and costs, making it more universal for clinical practice.
The 'Golden boy' mummy is a 2,300-year-old undisturbed body equipped with 49 amulets of 21 different types, including golden and semiprecious stones. CT scans reveal these amulets were placed to protect the body and give it vitality in the afterlife.
Scientists discovered the rarest North American snake, Tantilla oolitica, locked in fatal combat with a giant centipede it swallowed. The CT scan revealed that the centipede's size was the final blow, cutting off the snake's air supply.
A secondary analysis of the CARDIA Lung study found that a substantial proportion of middle-aged adults with normal spirometry findings had emphysema on CT scan. Race-specific interpretations of spirometry may underestimate respiratory symptom burden and risk for death in Black adults, perpetuating structural racial inequities.
The global contrast media shortage has affected millions of diagnostic imaging examinations and requires immediate attention. Researchers propose several methods to conserve contrast media, including weight-based dosing and adjusting CT settings.
Researchers at EPFL's School of Life Sciences create a digital twin of Drosophila called NeuroMechFly, which uses biomechanical modeling and machine learning to simulate the fly's movements. The model is validated through experiments that demonstrate its accuracy in replicating real animal behaviors.
The study compared lung perfusion scans during COVID-19 (April 2020 to July 2021) to pre-COVID V/Q scans (December 2018 to March 2020) in a large tertiary care teaching hospital. The results showed a 30% decline in overall lung scans performed during the pandemic.
A study of patients treated with edoxaban and dual antiplatelet therapy (DAPT) after TAVR found that edoxaban reduced subclinical leaflet thrombosis, but did not affect stroke risk. Rates of death, stroke, and cognitive decline were similar in both groups.
A study found that 25.3% of children with mild head injuries continue to suffer from persistent post-concussion syndrome for years, often misdiagnosed as ADHD or sleep disorders. The syndrome causes chronic symptoms like forgetfulness, memory problems, and sensitivity to light and noise.
Patients with severe coronary artery calcium have a significantly increased risk of major adverse cardiovascular events during thoracic radiation therapy for non-small cell lung cancer. The study found that patients with severe coronary artery calcium had a 21.4 times increased risk compared to those with no coronary artery calcium.
A recent study uses deep neural networks to analyze CT scans of dinosaur fossils, reducing manual segmentation time from days to minutes.
Researchers from Egypt used 3D CT scanning to 'digitally unwrap' the mummy of Pharaoh Amenhotep I, dispelling a theory that 21st dynasty restorers reused old royal burial equipment. The study revealed that the priests lovingly repaired injuries inflicted by tomb robbers and preserved the pharaoh's jewelry and amulets.
A recent study found that a substantial decline in lung cancer deaths is associated with earlier diagnosis of lung cancer through increased screening via computed tomography (CT) and follow-up scans. This approach can lead to surgical interventions, which can often be curative for precancerous nodules.
Researchers developed a novel approach to 3D image segmentation, segmenting the gaps between parts instead of contours, to automate tedious tasks. The technique demonstrates promising results in diagnosing TMJ-related issues and has potential applications in other fields.
A novel CT scan-based approach detects changes in lung tissue indicating emphysema and airway constriction in patients with asthma. This finding may explain why conventional anti-inflammatory treatments are ineffective in some asthmatics, paving the way for personalized management of the disease.
A new AI-powered diagnostic tool can spot asymptomatic prostate cancer in routine CT scans, allowing for earlier diagnosis and improved treatment outcomes. The technology, developed at RMIT University, has been shown to perform better than human radiologists in detecting cancerous growths.
Researchers at the University of Cincinnati found that poorly fitting face masks can double the infection risk to wearers and others, while custom-fitted masks greatly reduce this risk. The study used CT scans to measure gaps between faces and masks, revealing substantial leaks around the nose that compromise mask effectiveness.
A ceremonial tsantsa was authenticated and repatriated to Ecuador in 2019, with researchers confirming its origins using CT scans and assessing 33 criteria. The artefact's unique features, such as a distinctive hairstyle and three holes in the lips, matched those of SAAWC culture group members.
A clinical trial found that immediate angiography reduced stroke treatment time by nearly half and improved recovery rates. At 90 days post-stroke, patients who underwent angiography showed a higher likelihood of regaining independence compared to those receiving standard CT scans.
A recent CT scan study of the mummy of Pharaoh Seqenenre-Taa-II provides new insights into his death, revealing that he was executed by multiple attackers and that embalmers skillfully concealed some head wounds. The study also suggests that Seqenenre was about 40 years old at the time of his death.
The new guidelines cover patient triage, imaging, observation versus admission, transfer, discharge and follow-up to help clinicians diagnose and treat children's head injuries. They aim to reduce unnecessary exposure to radiation from CT scans while ruling out bleeding disorders.
A new AI algorithm developed by Brigham and Women's Hospital can automatically measure coronary artery calcium from routine CT scans, predicting cardiovascular events like heart attacks. The system was validated in over 20,000 individuals and highly correlated with manual scores, showing promise for personalized medicine.
A study analyzed CT scans from 54 frog families to show that burrowing frogs have a diverse and quirky skeleton. To train like a forward burrower, strengthen your upper back by doing exercises such as the Prone W and focus on building strength in the shoulder blade area with pullups and pushups.
A new CT scan method splits a full X-ray beam into thin beamlets to deliver the same quality of image at a significantly reduced radiation dose. The technique has been shown to reduce exposure by up to 90% while maintaining image resolution, offering potential benefits for medical research and patient safety.
A study found that cardiac CT exams can effectively screen for osteoporosis by measuring thoracic spine bone mineral density, which is strongly associated with fracture risk. This non-invasive method can guide preventive measures and treatment decisions without adding time or radiation to the exam.
A research team at Tohoku University has developed a new method for high-speed, high-resolution X-ray computed tomography (CT) using intense synchrotron radiation. This allows for imaging of samples within milliseconds without the need for extreme rotation, making it possible to control temperature and atmosphere conditions.
Researchers developed an AI algorithm that can detect and identify different types of brain lesions on CT scans, with clinical validation showing high accuracy. The tool has the potential to improve patient outcomes by providing more personalized treatments for head injuries.
Researchers developed a post-processing algorithm to increase the quality of reconstructed CT images while reducing noise and radiation exposure. The new method enhances tissue discrimination by 60%, enabling better decision-making for further treatments.
A study found that low-dose chest CT scans used for lung cancer screening do not cause significant DNA damage or chromosome aberrations. The results suggest that the risks of low-dose CT are minimal, and it can be used for lung cancer screening.
A study found that AI can accurately measure coronary artery calcium, a marker of heart disease, in patients getting lung cancer screening CT scans. The system uses deep learning to automate the assessment, making it easier for doctors to decide on preventative therapy.
A new approach to interpreting D-dimer blood tests can help rule out pulmonary embolism and reduce the need for CT scans, freeing up resources and reducing radiation exposure. The study found that a higher-than-usual D-dimer level can be considered a negative result in patients with low probability of having a pulmonary embolism.
A new study found exposure to CT scans is associated with higher risks of developing thyroid cancer and leukemia. The risk is stronger in patients who have received multiple scans, particularly younger adults and females.
Researchers observed reversed halo signs in most cases of CT-based septic pulmonary embolism diagnosis related to IV substance use disorder. The sign is an early and reliable imaging finding.
MIT researchers create a visual deprojection model that recovers valuable data lost from images and video by learning patterns in low-dimensional projections. The model has successfully recreated video frames showing people walking and recovered motion-blurred images, with potential applications in medical imaging.
Researchers discovered traumatic microbleeds are a form of blood vessel injury following brain trauma, and predict poor outcomes. The study found that patients with severe head injuries were more likely to have microbleeds and greater disability.
A Scottish study shows that combining an autoantibody test with CT imaging can significantly decrease late-stage lung cancer diagnoses and potentially lower lung cancer-specific mortality. The EarlyCDT-Lung Test identifies high-risk individuals, allowing for earlier interventions.
A new blood test developed by UCSF has shown high accuracy in detecting concussions absent on CT scans, with the potential to prevent unnecessary radiation exposure and improve patient care. The test measures brain protein levels, which are significantly elevated in patients with traumatic brain injuries.
A new prospective study of over 4,000 children found that screening for cervical spine risk factors can significantly reduce the number of unnecessary CT scans. The study identified seven key risk factors that can aid clinicians in deciding which children need imaging, with the potential to spare hundreds of children from cancer annually.
A new AI system has been developed that can detect lung cancer with high accuracy, potentially leading to earlier treatment. The system uses deep learning to analyze low-dose chest computed tomography (LDCT) scans and performs better than human radiologists in detecting malignant nodules.
A study found that radiologists only reported coronary artery calcium (CAC) on CT scans about half the time, despite its importance as a marker of heart health. This underreporting could lead to missed opportunities to identify and treat patients at high risk for heart problems, researchers say.
A large European study found that small lung spots in rhabdomyosarcoma patients do not affect survival prospects or require aggressive treatment, unlike larger metastases.
A nearly metre-long skull of a giant fossil marine ichthyosaur, found in a farmer's field over 60 years ago, has been digitally reconstructed and studied for the first time using cutting-edge CT scanning technology. The research reveals new information including details of the rarely preserved braincase.
A study of over 2 million CT scans found that radiation doses vary greatly due to how scanners are used by medical staff, not patient or machine differences. Setting consistent dose standards could minimize unnecessary radiation risks.
Researchers at Case Western Reserve University have developed a novel computerized approach to detect lung cancer using routine CAT scans. The method analyzes patterns of heterogeneity within and outside the tumor, distinguishing benign from malignant nodules with high accuracy.
A visual aid designed for parents of children with minor head injuries helped them communicate with emergency medicine physicians and make informed decisions about their child's care. Parents who used the decision aid had better understanding of symptoms, relative risk of brain injury, and pros and cons of CT scans.
Researchers develop radiomic signature to predict efficacy of immunotherapy in patients with solid tumors. The algorithm analyzes CT scan images to extract biological information, providing a predictive score for treatment effectiveness.
An AI platform identified diseases in CT scans faster than human diagnosis, with a total processing and interpretation time of 1.2 seconds, significantly outperforming human triage systems.
Researchers from UNIGE have developed a portable device called TBIcheck that analyzes proteins in the blood to diagnose mild traumatic brain injury. The device can detect four biomarkers associated with brain injuries, including H-FABP, Interleukin-10, S100B, and GFAP.
A new diagnostic blood test developed by Banyan Biomarkers Inc. has been validated to correctly identify 99.6% of patients without traumatic brain injury (TBI) on head CT scans. The test reduces unnecessary head CT scans, radiation exposure and healthcare costs associated with TBI treatment.
A blood test has been shown to accurately identify patients without traumatic intracranial injuries, reducing the need for CT scans. The test uses biomarker proteins released into the bloodstream after a brain injury and showed a high sensitivity rate of 99.6%.
A new blood test, Banyan Brain Trauma Indicator, has been approved to help diagnose traumatic brain injuries. The test detects two brain proteins in the blood after a head injury and can predict the presence of an intracranial injury on a head CT scan.
A study found that CT scans may increase brain tumor risk in children, with dose-response relationships observed between radiation exposure and tumor incidence. The researchers caution that careful justification and optimization of pediatric CT scans are essential to minimize risks.
A study published in Radiology found that people who smoke or have diabetes are at increased risk of calcifications in the hippocampus, a region crucial for memory. The study suggests a link between smoking and diabetes and an increased risk of brain calcifications.
Researchers developed a new method to convert complex medical images into physical models with unprecedented detail. This technique uses dithered bitmaps to simplify grayscale images, allowing for faster and more accurate printing.
A new study published in JAMA Network Open found that nearly half of concussion patients receive no follow-up care within three months of discharge from the hospital. The researchers used data from over 2,700 brain injury patients and found a significant gap in care for patients with lesions on their head CT scans.
A Norwegian-Greek study found that five traditional risk factors and two new ones can identify people at high risk of developing lung cancer. The research group created a risk calculator that can predict lung cancer with near-90% accuracy, reducing the need for unnecessary CT scans.
A new study found that a simple density measurement of bone quality from chest and abdominal CT scans can predict fracture risk in older adults. Having a low vertebral trabecular attenuation threshold was associated with an increased risk of future fractures.