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Women’s imaging at this year’s RSNA reflects momentous changes in trends regarding personalized, targeted healthcare in 2024 for women’s health. Research efforts toward supplemental breast imaging have ramped up in recent years and in Chicago, attendees can see results from these imagingmodalities being put to the test.
A significant percentage of imaging studies ordered by office-based healthcare providers are self-interpreted rather than referred to radiologists for reading, according to researchers from the Harvey L. million office-based imaging claims for Medicare fee-for-service beneficiaries in 2022 that were ordered by nonradiologists.
Medical imaging is the economic artery of modern diagnostics, with AI-driven advancements prompting clinicians to rethink how they interpret scans. For instance, the global medical imaging AI market 1 is projected to expand eightfold by 2030, reaching an estimated $8.18 Ravinder Singh. Vaibhavi Sonetha, PhD.
Despite imaging referrals being frequent in a free clinic setting, less than half of referral submissions resulted in completed appointments, suggest findings published March 18 in ClinicalImaging. Underserved populations who may rely on charitable services like free clinics face more barriers than others.
Deep-learning models could have potential as predictive tools for breast cancer prognosis, a study published January 17 in Clinical Breast Cancer has found. They collected imaging data to establish deep-learning models using ResNet50. This means the combined model could predict prognosis after surgery.
ChatGPT would require further refinement before being used clinically to help educate patients about cardiac imaging, according to a study published May 23 in ClinicalImaging. or ChatGPT-4 in our study were answered either with an incorrect or clinically misleading response,” the researchers noted.
The world’s top nuclear medicine societies have issued international guidelines on the role of PET/CT in patients with invasive ductal carcinoma breast cancer, with the document released May 14 in the European Journal of Nuclear Medicine and Molecular Imaging. The full article is available here.
Digital breast tomosynthesis (DBT) has a diagnostic accuracy comparable to digital mammography for women referred for breast imaging, a study published January 10 in Cancer Treatment and Research Communications found. The retrospective study included data collected from 10,742 total exams from the two modalities. compared to 0.90
AUSTIN, TX – Point-of-care ultrasound (POCUS) isn’t typically used for imaging the pancreas, but perhaps that should change, according to a presentation given April 7 at UltraCon. In a pilot study, Lee and colleagues examined the feasibility of POCUS in pancreatic imaging. In the U.S., In the U.S.,
breast cancer detection software used in a clinical study of more than 7,500 patient that included Asian, Black, Caucasian, and Hispanic women, conducted by the Northwestern Feinberg School of Medicine in Chicago, generated similar results for all races and ethnicities. Hologic announced that its Genius AI Detection 2.0
VIENNA -- It's definitely possible to develop a successful cardiac imaging practice, according to a professional development presentation delivered February 28 at the ECR in Vienna. Gutberlet described how he came to cardiac imaging early in his medical career. years of follow-up compared with CT imaging (2.1% But he persevered.
The new horizons of advanced imaging, especially in oncology, must increasingly consider not only diagnostic efficacy but also sustainability for patients, prize-winning researchers told ECR 2025 delegates. To mitigate these effects, low-energy imaging techniques should be prioritized without compromising diagnostic accuracy.
AI yields much promise in medical imaging, but radiology leaders should be cognizant of the technology’s environmental impact, according to a paper published February 27 in Radiology. With this in mind, medical imaging should manage greenhouse gas emissions while addressing health effects related to climate change.
A standardized detection reporting system can help radiologists accurately categorize how breast cancer is identified -- either through screening or symptomatic presentation -- when performing image-guided breast biopsies, researchers have found. These included the following: symptomatic presentations, imagingmodalities, and other.
Developing and testing a new class of “super phantoms” is needed to optimize new medical imaging techniques before they are used in human studies, according to an article published May 24 in Communications Engineering. Phantoms are test objects used for initial testing and optimization of medical imaging techniques.
Localization and characterization of these tumors require advanced imaging. Echocardiography is the primary imagingmodality for this area, but its ability to differentiate between tumor types and determine malignancy is limited. F1 score (malignant) 46.51 93.88% 93.88% AUC 0.72 The full study can be found here.
PET/CT imaging with F-18 sodium fluoride (NaF) is emerging as a sensitive tool for detecting early atherosclerosis, according to a presentation at the recent Society of Nuclear Medicine and Molecular Imaging (SNMMI) annual meeting. The patients ranged in age from 21 to 75 years old.
The RSNA will hold a free, six-day clinical trials methodology workshop in January 2025. Attendees will learn to develop protocols for the clinical evaluation of imagingmodalities. Each trainee will be expected to develop a protocol for a clinical study that is ready to include in an application for external funding.
Researchers led by Marc Lobbes, MD, PhD, from Maastricht University Medical Center in the Netherlands found that CEM achieved a diagnostic accuracy comparable to that of conventional breast imaging. Comparison between CEM, conventional imaging in RACER trial Measure Conventional imaging CEM p-value Sensitivity 97.7%
The ACR remains committed to achieving regulatory, legislative and clinical environments that enable the highest quality patient care. Founded in 1923, the ACR now has 54 chapters, more than 42,000 members, and more than 39,000 accredited facilities in nine imagingmodalities.
PET/CT imaging with F-18 fluroestradiol (FES) can play a significant role helping clinicians make treatment decisions in patients with recurrent or metastatic breast cancer, according to a study published October 3 in the Journal of Nuclear Medicine. Image courtesy of the Journal of Nuclear Medicine. A graphical abstract of the study.
Ward and colleagues described the experience of American radiology residents in two Nepalese clinics. In the first clinic, the residents worked with an existing POCUS team in a pregnancy ultrasound clinic in the Mahalaxmi municipality on the outskirts of Kathmandu.
The consensus, published April 9 in Radiology , provides recommendations for improving routine pelvic ultrasounds through additional maneuvers and imaging to improve diagnosis of deep endometriosis, according to the authors. Ultrasound is the typical go-to imagingmodality for women experiencing chronic pelvic pain or infertility issues.
A team led by PhD candidate Lu Zhang of Shanghai Jiao Tong University in Shanghai, China, developed a large language model (LLM) that generates interpretations (“impressions”) on reports based on imaging findings and evaluated its performance in professional and linguistic dimensions.
While PET imaging with F-18- and gallium-68 (Ga-68)-labeled fibroblast activation protein inhibitor (FAPI) radiotracers has been established for evaluating this activity, the use of Tc-99m FAPI-SPECT has gained momentum due to its comparative cost-effectiveness, the authors wrote. Image courtesy of the Journal of Nuclear Cardiology.
A team led by Kate Hanneman, MD, of the University of Toronto in Ontario, Canada, proposed ways that departments can strategize to promote planetary health beyond turning imaging machines off when not in use. The researchers also suggested that decision-support tools can be implemented to choose lower-energy imaging tests when appropriate.
FAPI-PET imaging may become a powerful diagnostic tool for detecting pancreatic cancer, according to a study published November 16 in the Journal of Nuclear Medicine. They found high detection rates and diagnostic accuracy, as well as superior performance to standard imaging. Image courtesy of the Journal of Nuclear Medicine.
In a retrospective study, a team at the University Hospital Salzburg in Austria studied baseline F-18 FDG-PET/CT imaging parameters in patients with melanoma and found they were associated with the development of metastatic brain tumors. “In A 49-year-old patient with primary clinical stage III melanoma underwent F-18 FDG-PET.
ChatGPT demonstrates modest accuracy when assigning BI-RADS scores for mammograms and breast ultrasound exams, according to research published October 30 in ClinicalImaging. Previous reports suggest that large language models can correctly recommend appropriate imagingmodalities for patients based on their clinical presentation.
Contrast-enhanced mammography (CEM) has a slightly higher mean glandular dose (MGD) than other breast imagingmodalities, according to research published January 15 in the American Journal of Roentgenology. Mean glandular dose (MGD) of breast imagingmodalities Mammography DBT Combined mammography-DBT CEM (overall) Median MGD (mGy) 4.07
Yet to date, despite this promise, there is no universally accepted imaging biomarker that can characterize the full temporal progression of injury and recovery, or predict outcomes in patients, Wright said. We then wanted to take this work and look at this in a clinical setting to see whether there were similar findings,” Wright said.
The proposed updates to the HIPAA Security Rule represent a pivotal shift in addressing modern cybersecurity challenges, particularly for industries that rely heavily on sensitive health data, such as clinical AI. For clinical AI, these changes offer both significant opportunities and notable challenges.
Cincinnati Childrens and GE HealthCare are forming a strategic research program with the goal of advancing innovation for pediatric care delivery across imagingmodalities, including MRI, ultrasound, molecular imaging, and CT. Further optimize and automate CT workflows for pediatric patients and the clinicians who serve them.
Uncovering MACE risks With many factors underlying MACE, radiologists and data scientists have been mining various regions of interest on cardiac CT images to bring potentially useful predictive and prognostic tools to the forefront. More than 15 million CT exams are performed in the U.S.
An emerging PET/CT radiotracer may be more predictive of progressive pulmonary fibrosis in interstitial lung patients than F-18 FDG PET/CT, according to research presented June 8 at the 2024 Society of Nuclear Medicine and Molecular Imaging Annual Meeting (SNMMI). Comparative analysis involved PET/CT parameters of both tracers.
The work presented at RSNA builds on previous research that investigated the feasibility of adversarial attacking (black-box type), in which data generated by generative adversarial networks (GANs) are inserted into the image as either positive- or negative-looking adversarial image features.
MR technology has matured to a tipping point in which the field of lung MR that used to be a largely research-only endeavor is now becoming more relevant in our daily clinical practice. However, DWI image demonstrates restricted diffusion (orange yellow) corresponding to focal FDG uptake (blue arrow) within the satellite nodule.
It depends on a variety of factors, according to a review published May 20 in Radiology Clinics. Mammography is the traditional modality for both screening for breast cancer and follow-up of suspicious results, but it has its limits, notably less ability to identify cancer in dense breast tissue. vs. 90.5%). vs. 90.5%).
HOPPR, a Health2047 company, is using the RSNA venue to launch Grace, a multimodal foundation model developed for image-to-image and text-to-image learning across all imagingmodalities. Dubbed Grace, the B2B foundation model enables image-to-image and text-to-image learning across all medical imagingmodalities.
Ultrasound's utility will be on full display at this year's RSNA annual meeting, showing its merit in a wide variety of clinical applications. Research to be presented at the annual meeting in Chicago will explore the modality'sclinical applications in musculoskeletal, pediatric, abdominal, and women's imaging among other areas.
Ultrasound’s versatility is once again on display at RSNA 2024, with researchers showcasing the modality’s ability to be on par with CT and MRI for guiding diagnosis and treatment strategies in some clinical scenarios. or “Can ultrasound be a suitable alternative to MRI for breast imaging?” And let’s not forget about AI.
In the third blog of her series on AI and the radiographer, Shamie Kumar explores the impact on the radiographer when AI is integrated within an imagingmodality. The question to explore in this blog is when AI is integrated within an imagingmodality itself and how that may impact a radiographer.
found that a deep learning model trained on lung ultrasound allowed for segmentation and characterization of artifacts on images when tested on a phantom model. The team developed a version of the U-Net architecture for image segmentation to provide a balance between model speed and accuracy. DEED, Attribution 4.0 Pleural line 0.81
However, Matheson said CEM’s use in surveillance imaging remains unknown. The Matheson team studied CEM’s potential role in surveillance imaging, using retrospective data from 1,190 women with a personal history of breast cancer.
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