Senior Editor, Diagnostic Imaging
FDA Clears AI-Powered CT Assessment Tool for Lung Fibrosis
January 18th 2024For patients with suspected interstitial lung disease, the digital biomarker solution Fibresolve offers machine learning capability of diagnosing idiopathic pulmonary fibrosis (IPF) based on assessment of lung computed tomography (CT) scans.
Newly FDA-Cleared Stereotactic System Can be Utilized with Pre-Op MRI or CT
January 17th 2024Utilized for neurological procedures including biopsies, catheter placement and electrode introduction, the SmartFrame OR Stereotactic System can be combined with preoperative MRI or CT to ensure optimal placement of devices and instruments.
Study: Abbreviated MRI and DBT Offer Comparable Breast Cancer Detection in Dense Breasts
January 17th 2024For women with dense breasts, abbreviated breast MRI and digital breast tomosynthesis (DBT) both offered greater than 98 percent sensitivity rates and greater than 94 percent negative predictive values (NPVs) for breast cancer detection, according to newly published research.
Current Insights on Differentiating Pulmonary Subsolid Nodules with Non-Contrast CT
January 12th 2024Patients with benign pulmonary absorbable subsolid nodules (AB-SSNs) have a greater frequency of nodules in comparison to those with non-absorbable benign subsolid nodules (NB-SSNs) and patients with malignant subsolid nodules (M-SSNs), according to a recent study of follow-up non-contrast CT exams in over 400 patients.
Head CT for Acute Stroke Patients: Study Shows 22 Percent Improvement for 30-Minute Turnaround Times
January 8th 2024Modifications to the radiology workflow, including the use of a structured report template, improved adherence for 30-minute turnaround times for acute stroke head CT results from 73.2 percent to 95.6 percent, accordingly to new research.
FDA Grants De Novo Clearance for Ultrasound-Based Liver Tumor Ablation Software
January 8th 2024The BioTraceIO software reportedly facilitates visualization of liver tumor ablation procedures based on real-time ultrasound imaging and provides superior post-op estimates of ablation zone volume in comparison to computed tomography.
Hybrid MRI Deep Learning Model Shows Promise in Predicting Tumor Deposits with Rectal Cancer
January 3rd 2024An emerging deep learning model, which incorporates T2-weighted MRI and clinical data, demonstrated an 83.9 percent AUC and an 85 percent specificity rate for preoperative prediction of tumor deposits in patients with rectal cancer.
What a New Chest CT Study Reveals About Pericardial Effusion and COVID-19
January 2nd 2024The presence of pericardial effusion on chest computed tomography (CT) was associated with a 56 percent higher 30-day mortality risk in men with COVID-19 but had no impact on the prognosis for women with COVID-19, according to newly published research.
Can a Genetic Model Help Reduce Overuse of Mammography in Women at Low Risk for Breast Cancer?
January 2nd 2024In a study assessing the use of a genetic risk stratification model to estimate breast cancer risk in over 25,000 women, researchers found that 0.69 percent of women at low genetic risk were diagnosed with breast cancer by the age of 45 and 1.41 percent of this group were diagnosed by the age of 58.
Mammography Surveillance: Can Screening DBT Have an Impact After Breast Cancer Treatment?
December 22nd 2023In a study of over 30,000 screening digital breast tomosynthesis (DBT) exams for over 8,000 women, researchers found a specificity rate of 95.1 percent, a false negative rate of 2.1 (per 1,000 exams) and an abnormal interpretation rate (AIR) of 5.7 percent.
Can ChatGPT and Bard Bolster Decision-Making for Cancer Screening in Radiology?
December 21st 2023In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”
AI Facilitates Nearly 83 Percent Improvement in Turnaround Time for Fracture X-Rays
December 19th 2023In addition to offering a 98.5 percent sensitivity rate in diagnosing fractures on X-ray, an emerging artificial intelligence (AI) software reportedly helped reduce mean turnaround time on X-ray fracture diagnosis from 48 hours to 8.3 hours, according to new research presented at the Radiological Society of North America (RSNA) conference.
Is Contrast-Enhanced Mammography a Viable Option for Diagnosing Invasive Lobular Carcinoma?
December 15th 2023Contrast-enhanced mammography had a 98 percent sensitivity rate for diagnosing invasive lobular carcinoma and provided high conspicuity for 82 percent of detected lesions, according to research presented at the recent Radiological Society of North America (RSNA) conference.
Study Finds Questionable Adherence to Guidelines for Rectal MRI
December 15th 2023In one of the study periods from recently published research on rectal MRI acquisition, researchers found that 39.7 percent of rectal MRI exams adhered to guidelines from the Society of Abdominal Radiology (SAR) and only 6.8 percent followed guidelines from the European Society of Gastrointestinal and Abdominal Radiology (ESGAR).
Can Diffusion Microstructural Imaging Provide Insights Into Long Covid Beyond Conventional MRI?
December 14th 2023In a recent interview, Alexander Rau, M.D., discussed emerging research, presented at the recent RSNA conference, that shows the capability of diffusion microstructural imaging to differentiate subtle shifts in microstructural gray matter associated with common symptomatology of long Covid.
Can an Emerging PET Radiotracer Enhance Detection of Prostate Cancer Recurrence?
December 14th 2023The use of 68Ga-RM2 PET/MRI demonstrated a 35 percent higher sensitivity rate than MRI alone for the diagnosis of biochemical recurrence of prostate cancer, according to research recently presented at the Radiological Society of North America (RSNA) conference.
Study: AI Enhances Abnormality Detection on CXR Across Radiologist Experience Levels
December 13th 2023Emerging research suggests that adjunctive artificial intelligence (AI) improves sensitivity for a variety of abnormalities on chest X-rays regardless of radiologist experience level, including an average 26 percent increase in sensitivity for pneumothorax.
Assessing the Impact of Radiology Workforce Shortages in Rural Communities
December 12th 2023In an interview at the recent RSNA conference, Catherine Everett, M.D., shared her perspective on the radiology workforce shortage, offered insights on recruiting radiologists to rural areas and emphasized the urgency of bolstering access to radiologists and other health-care professionals for at-risk communities.