Road to RSNA 2023: Digital X-Ray
This year’s trip along the Road to RSNA for digital x-ray features mileposts mostly set by AI research. Models will be proposed for applications ranging from predicting bone density on chest x-rays to generating complete reports on anterior cruciate ligament (ACL) tears. Yet several presentations to be given at the meeting reminded us that issues concerning basic elements of x-ray technology remain highly important, as well as whether imaging access is equitable in the "real-world."In one, a group at the University of Washington in St. Louis asked, “How much ionizing radiation are neonatal patients exposed to during ...
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Will Morton Tags: 2023 2023 Digital X-Ray Preview Source Type: news
DDR and CTPA compared for assessing pulmonary thromboembolism
Thursday, November 30 | 1:30 p.m.-2:30 p.m. | R6-SSPH15-2 | Room S501During this session, early results will be presented of an ongoing pilot study comparing dynamic digital radiography (DDR) with perfusion assessment and CT pulmonary angiography (CTPA) in evaluating suspected pulmonary thromboembolism (PTE).Anmol Dhawan, MD, a senior radiology resident at Bharati Hospital Pune in Pune, India, will discuss the results from 24 patients who underwent both studies to rule out PTE. The researchers analyzed differences in the two approaches in quantifying the percentage of total perfusion between both lungs and correlated fin...
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Will Morton Tags: 2023 Digital X-Ray Preview Source Type: news
Deep-learning model can spot patients at high risk of COPD
Thursday, November 30 | 8:20 a.m.-8:30 a.m. | R1-SSCH09-3 | Room E352This scientific presentation will present external validation results for a deep-learning model in identifying individuals at high risk of incident chronic obstructive pulmonary disease (COPD) on routine outpatient chest x-rays (CXR).Saman Doroodgar Jorshery, MD, and colleagues will discuss findings with CXR-Lung-Risk, a previously developed convolutional neural network designed to predict lung-related mortality. For the external validation, patients with no history of lung cancer, COPD, or emphysema, and who had a chest radiograph, were identified.After ...
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Liz Carey Tags: 2023 Digital X-Ray Preview Source Type: news
AI algorithm measures shoulder kinematics on DDR
Wednesday, November 29 | 9:30 a.m.-10:30 a.m. | W3-SSMK08 | Room 5E450AIn this session on musculoskeletal imaging, a deep-learning AI algorithm will be presented for measuring shoulder kinematics using dynamic digital radiography (DDR) images.John Sabol, PhD, a scientist at DDR developer Konica Minolta Healthcare Americas, will discuss a prototype deep-learning model developed to measure the scapulohumeral rhythm (SHR), the motion between the scapula and the humerus.“Although dynamic visualization of anatomy is useful to detect numerous pathologies, quantitative assessment of joint motion may improve sensitivity and spec...
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Will Morton Tags: 2023 Digital X-Ray Preview Source Type: news
Deep-learning model assesses bone age on elbow x-rays
Tuesday, November 28 | 8:00 a.m.-9:00 a.m. | T1-SSPD03-3 | Room E353BIn this session on pediatric imaging, a deep-learning model will be presented that is designed to assess bone age by visualizing features of the olecranon on lateral elbow x-rays.“Accurate bone age evaluation is crucial for assessing skeletal maturation, especially during puberty. Hand bone age has limitations during this period, and elbow bone age evaluation can be a valuable alternative,” noted Gayoung Choi, MD, PHD, of Korea University in Seoul, who will present the research.Significantly, the group first reviewed and classified 3,508 lateral elbow...
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Will Morton Tags: 2023 Digital X-Ray Preview Source Type: news
Radiation doses estimated in infants with congenital heart disease
This study is the first to describe organ-specific radiation dose from cardiac catheterizations and diagnostic fluoroscopic studies in a neonatal CHD population, and may help in our understanding of the potential contribution of early childhood [ionizing radiation] exposure to future risk of malignancy,” the researchers suggested.Wong-Siegel has been awarded a 2023 Trainee Research Prize for fellows for the work. (Source: AuntMinnie.com Headlines)
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Will Morton Tags: 2023 Digital X-Ray Preview Source Type: news
Deep-learning model predicts bone density on chest x-rays
Monday, November 27 | 11:00 a.m.-12:00 p.m. | M4-SSMK03-4 | Room E450AA deep-learning AI model will be presented in this session that can predict bone mineral density T-scores from chest x-rays.Presenter Yoichi Sato, MD, of Tokyo Shinjuku Medical Center in Japan, and colleagues first developed the model using patient dual-energy x-ray absorptiometry (DEXA) T-scores (bone mineral density) and chest x-rays as input. They then trained the algorithm on a data set of 47,150 x-rays (23,151 patients) and validated it on an external data set of 2,914 radiographs (1,515 patients).The model achieved 79% accuracy, 96.6% sensitivity, ...
Source: AuntMinnie.com Headlines - November 9, 2023 Category: Radiology Authors: Will Morton Tags: 2023 Digital X-Ray Preview Source Type: news
X-Rays Questioned for Diagnosing Early Rheumatoid Arthritis
(MedPage Today) -- Routine hand and foot radiographs in more than 700 patients being evaluated for rheumatoid arthritis (RA) made almost no difference in diagnosing the condition nor in predicting its course, Dutch researchers said.
Fewer than... (Source: MedPage Today Radiology)
Source: MedPage Today Radiology - November 9, 2023 Category: Radiology Source Type: news
Algorithm hunts for unreported osteoporosis markers on chest x-rays
Thursday, November 30 | 8:50 a.m.-9:00 a.m. | R1-SSCH09-5 | Room E352An AI algorithm can find radiographic markers for osteoporosis that are common but often not reported on radiology reports, according to this scientific paper.To date, AI models in medical imaging have often commonly focused on radiological finding detection to provide direct diagnostic assistance to radiologists, according to presenter Jonathan Stephan Luchs, MD. This recent study, however, investigated a use case to enhance osteoporosis risk characterization.The presence of osteopenia and spine wedge fracture are strong indicators of osteoporosis. Detec...
Source: AuntMinnie.com Headlines - November 8, 2023 Category: Radiology Authors: Liz Carey Tags: 2023 AI Preview Source Type: news
Deep-learning model can spot patients at high risk of COPD
Thursday, November 30 | 8:20 a.m.-8:30 a.m. | R1-SSCH09-3 | Room E352This scientific presentation will present external validation results for a deep-learning model in identifying individuals at high risk of incident chronic obstructive pulmonary disease (COPD) on routine outpatient chest x-rays (CXR).Saman Doroodgar Jorshery, MD, and colleagues will discuss findings with CXR-Lung-Risk, a previously developed convolutional neural network designed to predict lung-related mortality. For the external validation, patients with no history of lung cancer, COPD, or emphysema, and who had a chest radiograph, were identified.After ...
Source: AuntMinnie.com Headlines - November 8, 2023 Category: Radiology Authors: Liz Carey Tags: 2023 AI Preview Source Type: news
Opportunity for osteoporosis check on lumbar spine plain radiographs
Wednesday, November 29 | 10:00 a.m.-10:10 a.m. | W3-SSMK08-4 | Room E450AA deep learning-based framework for automated screening of osteoporosis on lumbar spine plain radiographs shows potential as another way to opportunistically make use of imaging studies performed for other indications, according to this presentation.In a retrospective study led by presenter Bin Zhang, MD, of The First Affiliated Hospital of Jinan University in China, 1,538 pairs of lumbar spine radiographs and dual-energy x-ray absorptiometry (DEXA) results from females aged ≥ 50 years were collected between January 1, 2014, and October 10, 2019....
Source: AuntMinnie.com Headlines - November 8, 2023 Category: Radiology Authors: Liz Carey Tags: 2023 AI Preview Source Type: news
Can CAD software reduce missed fractures in the ED?
Tuesday, November 28 | 10:10 a.m.-10:20 a.m. | T3-SSMK06-5 | Room E351Deep learning-based computer-aided detection (CAD) software shows potential for helping to avoid missed fractures on radiographs in the emergency department (ED), according to this talk.Seeking to add evidence that computer-assisted fracture detection is accurate in clinical situations, a research team led by Huid Ruitenbeek of Erasmus Medical Center in Rotterdam, the Netherlands, developed a multitask deep neural network (MDNN). The MDNN was trained on 450,000 x-rays and tested on 150,000 x-rays for the purpose of detecting x-rays with and without frac...
Source: AuntMinnie.com Headlines - November 8, 2023 Category: Radiology Authors: Liz Carey Tags: 2023 AI Preview Source Type: news
Road to RSNA 2023: AI Preview
Welcome to the first installment of this year’s Road to RSNA preview of the RSNA 2023 meeting. We’re once again providing a modality-by-modality overview of select scientific presentations to serve as your guide to events at McCormick Place.
Our journey along the Road to RSNA begins again with our preview of AI, a topic that has dominated the annual meeting for the past seven years. Research on AI topics will be omnipresent, featuring both in dedicated sessions as well as throughout the scientific program. In fact, it’s hard to find a scientific session without at least one AI-related presentation.
AI’s capabilit...
Source: AuntMinnie.com Headlines - November 8, 2023 Category: Radiology Authors: Erik L. Ridley Tags: 2023 Source Type: news
Playkits develop role in easing kids' anxiety over MRI scans
Giving young children a playkit that uses both virtual and augmented reality appears to reduce anxiety about this procedure, U.K. researchers have reported in an article posted on 7 November by BMJ Innovations.The "mixed realities" playkit is designed to help children prepare for the different elements of the MRI experience, using physical play to learn about an MRI scanner, augmented reality (AR) play to learn about the work of a radiographer, and virtual reality (VR) play to explore the journey of having an MRI scan."The development of the mixed realities MRI playkit addresses a significant global problem within pediatri...
Source: AuntMinnie.com Headlines - November 8, 2023 Category: Radiology Authors: Edna Astbury-Ward, PhD Tags: MRI Augmented/Virtual Reality Source Type: news
Lunit to highlight AI-based studies at RSNA
Lunit plans to highlight seven AI-based studies at the upcoming RSNA meeting.The studies include two oral presentations and five posters, and address AI advancements for chest x-ray reporting and breast cancer risk assessment, the company said.Topics include the following:Lunit's AI model combines new and existing AI algorithms to filter normal chest radiographs from the radiology workloadAn exploration of the accuracy and robustness of Lunit's Insight MMG compared with radiologist readersLunit's AI model tracks mammographic parenchymal patterns as predictive markers for breast cancer riskA comparison of the diagnostic acc...
Source: AuntMinnie.com Headlines - November 6, 2023 Category: Radiology Authors: AuntMinnie.com staff writers Tags: Industry News Breast Imaging Source Type: news
