Siemens Healthineers Announces FDA Clearance for New PET/CT System at SNMMI Meeting
Emphasizing enhanced time-of-flight performance and an energy-efficient design, the Biograph Trinion PET/CT system can reportedly be utilized for a variety of imaging needs, ranging from theranostic applications to neurology imaging.
New SNMMI President Cathy Cutler, PhD Discusses Current Challenges and Goals for Nuclear Medicine
In a recent interview, Cathy Cutler, Ph.D., shared her perspective on a number of topics affecting nuclear medicine, ranging from isotope availability and reimbursement challenges for diagnostic radiopharmaceuticals to increasing patient interest in PET imaging.
For patients with interstitial lung disease, FAPI PET/CT was more effective than 18F-FDG PET/CT at predicting progressive pulmonary fibrosis according to comparative study findings presented at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting.
SNMMI: Study Finds FAP-Targeted Radioligand Therapy Beneficial for Patients with Advanced Sarcomas
The use of 90Y-FAPI-46 radioligand therapy resulted in controlled disease progression in nearly half of a 30-person cohort largely comprised of patients with advanced sarcomas, according to new research presented at the 2024 Society of Nuclear Medicine and Molecular Imaging (SNMMI) Annual Meeting.
Nanox Adds AI Applications to Teleradiology Platform for CT Second Opinions
Facilitating additional consultation on chest and abdominal CT scans, the Second Opinions teleradiology platform now features FDA-cleared AI tools for cardiac, bone and liver assessments.
Mammography Study Finds No Additional Benefit with DBT in Women With Elevated Breast Cancer Risk
In a study of asymptomatic women at elevated risk for breast cancer, digital breast tomosynthesis (DBT) demonstrated equivalent sensitivity to full-field digital mammography (FFDM) for three out of four reviewing radiologists and detected no additional cancers beyond those detected with FFDM.
Radiology Study Shows Nearly 350 Percent Increase of Practices with 100 or More Radiologists
There was over a 31 percent decline in radiology-only practices and over a 25 percent decrease of practices employing 10-24 radiologists, according to new research examining consolidation trends in radiology from 2014 to 2023.
Essential Keys to MRI Safety in the Age of Advanced Diagnostics
June 6th 2024As ongoing advances continue to redefine and elevate the diagnostic capabilities of MRI, ensuring the safety of patients and operators through effective signage, training and regular safety audits is of paranount importance.
Can Mammography-Based AI Enhance the Detection of Contralateral Breast Cancer?
Offering comparable sensitivity to radiologists for detecting contralateral breast cancer on mammography images, an emerging adjunctive AI software may also facilitate earlier diagnosis, according to study findings presented at the at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting.
Use of Mammography AI Leads to 12 Percent CDR Increase and 20 Percent Decrease in Recall Rate
In a retrospective study involving nearly 119,000 women, researchers found that implementation of AI into mammography screening increased the positive predictive value by 11 percent, increased small cancer detection by 8.3 percent and reduced reading workload by approximately 33 percent.
New Cardiac Ultrasound AI Applications from Philips Get FDA Nod
Featuring a combination of automated measurement capabilities and workflow enhancements, the new AI-powered cardiovascular ultrasound platform also provides automated assessment of regional wall motion abnormalities.
Large CT Study Shows Benefits of AI in Predicting CV Risks in Patients Without Obstructive CAD
An AI algorithm that incorporates scoring of coronary inflammation based on coronary CT angiography (CCTA) may enhance long-term cardiovascular risk stratification beyond conventional risk factor and imaging assessments, even in patients without obstructive CAD.
Additional carcinoma in the ipsilateral breast was detected on preoperative MRI exams in 24 out of 102 women prior to lumpectomy and mastectomy procedures, according to new study findings presented at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.
CT-Based AI Model May Enhance Prediction of Lung Cancer Recurrence
An AI model that includes extracted radiomic features from CT scans more than doubled the sensitivity rate for preoperative prediction of lung cancer recurrence in comparison to traditional TNM staging, according to study findings to be presented at the 2024 American Society of Clinical Oncology (ASCO) Annual Meeting in Chicago.