Latest Conference Articles

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.

Improving the Quality of Breast MRI Acquisition and Processing

Discussing findings from a new study presented at the Society for Breast Imaging (SBI) conference, Shahrzad Tavana, M.D., detailed the significant impact of training sessions for MRI technologists in improving breast positioning, optimal field of view and accuracy of sequence submissions to PACS for breast MRI exams.

ECR Study Finds Mixed Results with AI on Breast Ultrasound

While adjunctive use of AI led to significantly higher specificity and accuracy rates in detecting cancer on breast ultrasound exams in comparison to unassisted reading by breast radiologists, researchers noted that 12 of 13 BI-RADS 3 lesions upgraded by AI were ultimately benign, according to research presented at the European Congress of Radiology.

Can Multimodality AI Enhance CT Detection of Medium Vessel Occlusions?

The use of multiple artificial intelligence (AI) modalities to assess blood vessel density reduction and computed tomography perfusion (CTP) mismatch values facilitated a 93.3 percent detection rate for medium vessel occlusions, according to research presented recently at the International Stroke Conference.

Does Initial CCTA Provide the Best Assessment of Stable Chest Pain?

In a recent interview, Markus Scherer, M.D., discussed emerging research, presented at the American College of Cardiology Cardiovascular Summit, which showed that coronary computed tomography angiography (CTA) was associated with a significantly higher likelihood of revascularization in comparison to other modalities or direct referral for invasive coronary angiography.

Study: 18F-Flotufolastat PET Imaging Changes Treatment in 89 Percent of Patients with Prostate Cancer Recurrence

For patients with recurrent prostate cancer, PET scanning with 18F-flotufolastat led to major changes in treatment for 80 percent of patients and 75 percent of patients with a changed treatment focus to watchful waiting had negative scans, according to new research presented at the American Society of Clinical Oncology (ASCO) Genitourinary Cancers Symposium (ASCO-GU).