Senior Editor, Diagnostic Imaging
What a New Study Reveals About MRI Use and Implantable Cardioverter DefibrillatorsJanuary 31st 2023
In a prospective study of over 600 patients, researchers found that magnetic resonance imaging (MRI) had no serious adverse effects upon the detection of tachyarrhythmias with non-MRI conditional implantable cardioverter defibrillators (ICDs).
CT Study Says Deep Learning Model Could Help Differentiate Between Acute Diverticulitis and Colon CarcinomaJanuary 30th 2023
Researchers showed that adjunctive use of a deep learning algorithm resulted in an eight percent increase in sensitivity and a nearly 10 percent increase in specificity for differentiating between colon carcinoma and acute diverticulitis on computed tomography (CT) scans.
Is There Enough AI Emphasis in Radiology Residency Programs?January 30th 2023
In a new survey, 83 percent of radiology residents agreed that artificial intelligence/machine learning (AI/ML) should be part of their curriculum but approximately 24 percent of residents said there are currently no AI/ML educational offerings in their residency program.
Could Photon Counting Reduce Iodinated Contrast Media for CT Angiography?January 27th 2023
Preliminary research suggests the use of photon-counting detector computed tomography (CT) may facilitate a 25 percent reduction of iodinated contrast media (ICM) in comparison to energy-integrating detector CT for angiographic imaging of the thoracoabdominal aorta.
Could an Emerging Deep Learning Modality Enhance CCTA Assessment of Coronary Artery Disease?January 26th 2023
Employing deep learning capabilities, the DeepVessel FFR reportedly provides enhanced non-invasive evaluation of coronary arteries through semi-automated analysis of coronary computed tomography angiography (CCTA) imaging.
Contrast-Enhanced Mammography Study Examines Impact of Clinical Factors on Background Parenchymal EnhancementJanuary 26th 2023
For premenopausal women with regular menstrual cycles, researchers have found a significant association between the timing of menstrual cycles and the degree of background parenchymal enhancement (BPE) on contrast-enhanced mammography (CEM).
Abbreviated MRI and Early-Stage Hepatocellular Carcinoma: What a New Multicenter Study RevealsJanuary 25th 2023
In a multicenter study involving nearly 300 patients, researchers found that abbreviated magnetic resonance imaging (MRI) had a sensitivity rate of 88.2 percent and a specificity rate of 89.1 percent for detecting early-stage hepatocellular carcinoma (HCC).
Emerging Insights on MRI-Guided Stereotactic Body Radiation Therapy (SBRT) for Prostate CancerJanuary 24th 2023
In a recent video interview, Amar Kishan, M.D., discussed a new study that demonstrated significant side effect reduction when utilizing magnetic resonance imaging (MRI) guidance instead of computed tomography (CT) guidance for stereotactic body radiation therapy (SBRT) to treat localized prostate cancer.
New Mammography Study Reveals Mixed Awareness on Breast Cancer RisksJanuary 23rd 2023
In a new survey that examined perceptions of breast cancer risk among more than 1,800 women who had a recent mammogram, 65 percent noted that being overweight or obese was a greater risk factor than breast density, and over a quarter of those interviewed noted they were not aware that they could reduce their breast cancer risk.
Deep Learning Model May Predict Lung Cancer Risk from a Single CT ScanJanuary 23rd 2023
Trained and developed on over 35,000 low-dose computed tomography (LDCT) scans and validated in three independent data sets, a deep learning algorithm demonstrated an average area under the curve (AUC) of 90.6 percent for predicting lung cancer within one year.
ACR Offers Recommendations for Addressing 'Cost-Prohibitive' IDR Process in RadiologyJanuary 20th 2023
Noting the significant administrative fees for the Independent Dispute Resolution (IDR) process of the No Surprises Act and onerous restrictions that have led to a nearly “non-existent” use of batching of disputed claims in radiology, the American College of Radiology (ACR) has sent formal recommendations to the United States Departments of Health and Human Services, Labor, and Treasury for addressing these issues.
Can Multimodal AI Improve Cancer Detection in Dense Breasts?January 20th 2023
Emerging research suggests combined artificial intelligence (AI) assessment of digital mammography and automated 3D breast ultrasound provides enhanced detection of breast cancer in women with dense breasts and may be a viable alternative in areas where radiologists are scarce.
Can Deep Learning Assessment of X-Rays Improve Triage of Patients with Acute Chest Pain?January 18th 2023
In a study involving patients who presented to emergency departments with acute chest pain, a deep learning model demonstrated significantly improved prediction of aortic dissection and all-cause mortality and indicated that additional pulmonary and cardiovascular testing could be deferred in seven times as many patients as suggested by conventional risk factors and testing measures.
Nine Takeaways from New Article Examining Health Equity in the Radiology FieldJanuary 17th 2023
In a provocative new article, radiology researchers discuss the impact of social determinants of health (SDoH) upon access to care and patient outcomes, and present strategies within the realms of radiology education, research, clinical care, and innovation that may help mitigate health-care disparities.
Viz.ai Launches AI-Powered Vascular Imaging SoftwareJanuary 16th 2023
The artificial intelligence (AI)-enabled Viz™ Vascular Suite reportedly allows automated detection of vascular conditions, shown on computed tomography (CT) and other imaging modalities, and facilitates timely triage among interdisciplinary teams.
Pie Medical Imaging Launches AI-Powered Echocardiography PlatformJanuary 13th 2023
CAAS Qardia 2.0, an updated version of the CAAS Qardia echocardiography software platform, reportedly incorporates artificial intelligence (AI)-enabled workflows, and provides enhanced imaging and analysis of key cardiac measures.
Assessing the Value Proposition of AI in RadiologyJanuary 13th 2023
In the second part of a recent interview, Nina Kottler, M.D., M.S., discussed keys to evaluating the potential value of artificial intelligence (AI) systems and emerging developments with AI that were discussed at the recent Radiological Society of North America (RSNA) conference.
Can Dual-Energy CT Have an Impact in Differentiating Primary Lung Cancer and Pulmonary Metastases?January 12th 2023
In comparison to primary lung cancer, pulmonary metastases had a 33 percent higher frequency of ring-like peripheral high iodine concentration on dual-energy computed tomography (DECT), according to a new retrospective study.
What a New Mammography Study Reveals About Surveillance Imaging in Women Treated for Ductal Carcinoma In SituJanuary 12th 2023
While breast cancer imaging guidelines recommend annual screening for five years after treatment for ductal carcinoma in situ (DCIS), a new study of over 12,000 women found that only 52 percent had consistent surveillance screening with researchers noting disproportionately lower follow-up imaging rates for Black and Hispanic women.
Nine Takeaways from Recent Meta-Analysis on Lung Cancer Screening with Low-Dose CTJanuary 9th 2023
From incidental findings and screening for chronic obstructive pulmonary disease (COPD) to surveillance imaging protocols and the advent of artificial intelligence (AI), the authors of a new meta-analysis examine insights and emerging trends from the last two decades of research on the use of low-dose computed tomography (CT) in lung cancer screening.
Is PSMA PET/CT More Beneficial than Bone Scintigraphy in Detecting Bone Lesions in Cases of High-Risk Prostate Cancer?January 6th 2023
A new comparative study found the use of prostate-specific membrane antigen (PSMA) positron emission tomography/computed tomography (PET/CT) led to treatment changes in nearly 20 percent of patients with high-risk prostate cancer.
Can Deep Learning Enhance Ultrasound Assessment of Hepatic Steatosis in Patients with NAFLD?January 5th 2023
In a new prospective study, an emerging deep learning model, which incorporates parametric mapping with quantitative ultrasound to estimate liver fat fraction, demonstrated a 90 percent sensitivity rate and a 91 percent specificity rate for diagnosing hepatic steatosis in patients with non-alcoholic fatty liver disease (NAFLD).
What a New Study Reveals About MRI and Predicting Muscle Injury Recurrence in Pro AthletesJanuary 3rd 2023
In a study looking at acute muscle injuries in professional athletes, the use of magnetic resonance imaging (MRI) within a week prior to their return to play demonstrated significant re-injury risk with intermuscular edema, callus gap and transversal and/or mixed connective tissue gap.
Study Shows Merits of Photon-Counting CT in Detecting Subtle Post-COVID Lung AbnormalitiesDecember 22nd 2022
In a recently published prospective study comparing photon-counting detector computed tomography (PCD CT) versus energy-integrating detector CT (EID CT) in patients with persistent symptoms after COVID-19 infection, researchers found that PCD CT discovered additional lung abnormalities in half of the study participants.
Recognizing and Addressing Biases with AI and RadiologistsDecember 20th 2022
In a video interview discussing one of her recent lectures at the Radiological Society for North America (RSNA) conference, Nina Kottler, M.D., M.S., noted how the combination of artificial intelligence (AI) and radiologist experience can help mitigate bias limitations with the development of AI algorithms as well as educational biases inherent to a radiologist’s training and experience.