AI's impact on false-positive mammograms, breast cancer screening performance
Computer-aided detection (CAD) software for mammography has been available for decades but has traditionally been hampered by a high number of false-positive marks. AI software based on deep-learning algorithms is showing promise, however, for helping to improve specificity in screening mammography and other breast imaging modalities. Just over 40.5 million mammograms were performed in the U.S. in 2023, according to Mammography Quality Standards Act (MQSA) national statistics. Although mammogram is the most widely used screening modality, a known problem is that 9.5% of the 10% of women contacted for further testing after...
Source: AuntMinnie.com Headlines - January 24, 2024 Category: Radiology Authors: Liz Carey Tags: Improving radiology efficiency and outcomes Source Type: news

Is human-AI ‘symbiosis’ the path forward in chest radiography?
Human-AI symbiosis – rather than totally autonomous AI – should be the current goal for AI in chest radiography, according to an editorial published January 23 in Radiology.“In the coming years, radiologists will find themselves working in a reimagined diagnostic cockpit, increasingly interpreting chest radiographs and other imaging studies in symbiotic partnership with AI,” proposed lead author Warren Gefter, MD, of the University of Pennsylvania in Philadelphia, and colleagues.To achieve this vision, radiologists will need to apply the goals of “human-centered AI” and symbiosis to the design and implementatio...
Source: AuntMinnie.com Headlines - January 24, 2024 Category: Radiology Authors: Will Morton Tags: Digital X-Ray Chest Radiology Thoracic Imaging Source Type: news

Progression to Radiographic SpA: Risk Factors and Timeframe Progression to Radiographic SpA: Risk Factors and Timeframe
A 5-year study found a mean time to radiographic progression of 2.4 years in patients with newly diagnosed axial spondyloarthritis.Medscape Medical News (Source: Medscape Medical News Headlines)
Source: Medscape Medical News Headlines - January 24, 2024 Category: Consumer Health News Tags: Rheumatology Source Type: news

Few ‘surprise’ patient bills are from radiologists, study finds
Out-of-network billing by radiologists – often referred to as “surprise billing” – dropped significantly beginning in 2007 and imaging claims are now almost completely in network, according to a recent study. In an analysis of billing trends, the rate of out-of-network (OON) imaging claims declined from 12.6% in 2007 to 1.1% in 2021, with the decline occurring broadly across imaging modalities, noted lead author Jay Parikh, MD, of the University of Texas MD Anderson Cancer Center in Houston. “This consistent decline over time likely reflects in part effective persistent good-faith negotiations between radiology...
Source: AuntMinnie.com Headlines - January 22, 2024 Category: Radiology Authors: Will Morton Tags: Practice Management Source Type: news

Deep learning combines breast imaging data to predict cancer prognosis
Deep-learning models could have potential as predictive tools for breast cancer prognosis, a study published January 17 in Clinical Breast Cancer has found. A team led by Junqi Han, MD, from the Affiliated Hospital of Qingdao University in China found that its model combining data from mammography images, ultrasound images, and other characteristics performed well in predicting disease-free survival of breast cancer. “The combination of mammography and ultrasound images improved… performance for predicting breast cancer prognosis compared with single medical imaging modalities,” Han and colleagues wrote. AI and de...
Source: AuntMinnie.com Headlines - January 19, 2024 Category: Radiology Authors: Amerigo Allegretto Tags: Breast Source Type: news

Medical students gain confidence in radiology boot camp
Undergraduate medical students were eager to participate in an elective one-week radiology boot camp, with participants reporting the experience boosted their radiology knowledge but also their confidence in other specialties, according to a recent study. Radiologists at McMaster University in Hamilton, Ontario, surveyed students before and after the course, with findings suggesting the format could help meet increasing demands for radiology content in undergraduate training, noted lead author and medical student Levi Burns, and colleagues. “Focusing on radiology skills for nonradiology rotations was a successful strat...
Source: AuntMinnie.com Headlines - January 19, 2024 Category: Radiology Authors: Will Morton Tags: Radiology Education Medical Students Source Type: news

AI may help plan new treatment in scoliosis patients
An AI model for x-ray imaging could help clinicians plan treatment other than spinal fusions in patients with adolescent idiopathic scoliosis, according to research published January 14 in PLOS One. The study proposes a machine learning-based tool for planning anterior vertebral body tethering (AVBT), an emerging minimally invasive surgical treatment, noted first author Ausilah Alfraihat, a PhD student at Drexel University in Philadelphia, PA, and colleagues. “The current model has potential to serve as a valuable clinical tool, providing insight into the optimal timing of intervention and surgical planning parameters,...
Source: AuntMinnie.com Headlines - January 17, 2024 Category: Radiology Authors: Will Morton Tags: Subspecialties Digital X-Ray Musculoskeletal Radiology Source Type: news

The role of cone-beam computed tomography in the radiographic evaluation of obstructive sleep apnea: A review article
  Imaging Sci Dent.2023 Dec;53(4):283-289. doi: 10.5624/isd.20230119. Epub 2023 Nov 6. Abstract The apnea-hypopnea index is widely regarded as a measure of the severity of obstructive sleep apnea (OSA), a condition characterized by recurrent episodes of apnea or hypopnea during sleep that induce airway collapse. OSA is a catastrophic problem due to the wide range of health issues it can cause, including cardiovascular disease and memory loss. This review was conducted to clarify the roles of various imaging modalities, particularly cone-beam computed tomography (CBCT), in the diagnosis of ...
Source: Dental Technology Blog - January 16, 2024 Category: Dentistry Source Type: news

Musculoskeletal Symptoms Often Misattributed to Tick Bites Musculoskeletal Symptoms Often Misattributed to Tick Bites
A new study failed to find an association between prior exposure to tick bites and chronic musculoskeletal symptoms and radiographic measures of osteoarthritis.MDedge News (Source: Medscape Medical News Headlines)
Source: Medscape Medical News Headlines - January 15, 2024 Category: Consumer Health News Tags: Internal Medicine Source Type: news

Workplace violence ‘extremely high’ in radiologic sciences
More than 60% of diagnostic radiology and radiation therapy staff experience workplace violence, according to a study published January 9 in Radiography. Risk factors for workplace violence include intoxicated patients, staff stress, long patient waiting times, overcrowded environments, and inadequate staff and security measures, wrote lead author Krushi Shah, of Curtin University in Perth, Australia. The authors called for implementing strategies to reduce risk. “The most common coping strategy [we found in our review] was doing nothing, which is concerning,” they noted. Workplace violence is a significant issue in...
Source: AuntMinnie.com Headlines - January 12, 2024 Category: Radiology Authors: Will Morton Tags: Practice Management Radiologic Technologist Imaging Leaders Source Type: news

Radiologists in Europe ramp up testing of AI
Four out of seven commercially available AI algorithms for detecting lung nodules on x-rays performed better than human readers, while two algorithms for predicting bone age fell short, in a study published January 9 in Radiology.The study validates the methodology of an initiative called Project AIR, which the researchers developed to standardize testing of AI radiology products cleared for use in Europe, noted lead author Kicky van Leeuwen, a doctoral candidate at Radboud University in Nijmegen, the Netherlands, and colleagues.“Clinical centers rarely have the necessary resources and personnel to evaluate and compare m...
Source: AuntMinnie.com Headlines - January 11, 2024 Category: Radiology Authors: Will Morton Tags: Digital X-Ray Artificial Intelligence Source Type: news

Carestream launches new x-ray system
Carestream Health has launched a new x-ray system called DXR-Excel Plus with features designed to help simplify workflow and enhance productivity. DXR-Excel Plus is a two-in-one system for both fluoroscopy and general radiology that delivers real-time, images for a wide range of exams, while providing features that help create an enhanced experience for users, patients, and administrators, the company said.Carestream's new DXR-Excel Plus x-ray system. Image courtesy of Carestream Health. Those features include the following: Automatic Grid Parking directly linked to the exam Automatic Filter Control, which selects filt...
Source: AuntMinnie.com Headlines - January 10, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Source Type: news

Patient position affects radiation exposure during PET/CT scans
Arm position is a significant factor influencing radiation exposure to patients during whole-body PET/CT scans, according to a team of radiologic technologists in Japan.The finding underscores the importance of considering these factors when evaluating radiation exposure in clinical practice, noted lead author Ken Takada, PhD, of Ogaki Municipal Hospital in Ogaki City, and colleagues.“These findings contribute to a better understanding of the radiation dosimetry associated with different patient positions during WB-PET/CT scans,” the group wrote, in an article published January 4 in Radiography.Generally, to optimize i...
Source: AuntMinnie.com Headlines - January 9, 2024 Category: Radiology Authors: Will Morton Tags: Subspecialties Nuclear Radiology Source Type: news

Qure.ai gets FDA nod for chest x-ray software
Qure.ai has secured clearance from the U.S. Food and Drug Administration (FDA) for its computer-aided detection chest x-ray qXR-LN software for identifying lung nodules. The software flags suspected pulmonary nodules ranging between six mm and 30 mm and can serve as a second reader for clinicians interpreting frontal chest radiographs. The clearance is the company's sixth for its x-ray software offerings, it said. (Source: AuntMinnie.com Headlines)
Source: AuntMinnie.com Headlines - January 8, 2024 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Subspecialties Chest Radiology Source Type: news

Principal diagnostic features of paediatric foreign body aspiration - Lowe E, Soylu E, Deekonda P, Gajaweera H, Ioannidis D, Walker W, Amonoo-Kuofi K.
OBJECTIVES: The aim of this study is to identify the most common and important features within the presenting history, clinical examination and chest radiograph that are associated with foreign body (FB) aspiration in the paediatric population, to support ... (Source: SafetyLit)
Source: SafetyLit - January 8, 2024 Category: International Medicine & Public Health Tags: Age: Infants and Children Source Type: news