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.
Qure.ai to Debut Multimodality AI Platform for Lung Cancer Imaging at ASCO 2024
In addition to detecting missed lung nodules on X-rays, the AI-powered Qure.ai lung cancer continuum platform reportedly automates lung nodule measurement on CT scans and facilitates multimodality reporting.
Current Insights and Emerging Roles for Contrast-Enhanced Mammography
In a recent lecture at the 2024 ARRS Annual Meeting, Jordana Phillips, MD, discussed the role of contrast-enhanced mammography in staging breast cancer, evaluating response to neoadjuvant chemotherapy and recalls from screening.
Study Finds High Concordance Between AI and Radiologists for Cervical Spine Fractures on CT
Researchers found a 98.3 percent concordance between attending radiology reports and AI assessments for possible cervical spine fractures on CT, according to new research presented at the 2024 ARRS Annual Meeting.
Study of Ofatumumab for Multiple Sclerosis Shows 'Profoundly Suppressed MRI Lesion Activity'
The use of continuous ofatumumab in patients within three years of a relapsing multiple sclerosis diagnosis led to substantial reductions in associated lesions on brain MRI scans, according to research recently presented at the American Academy of Neurology (AAN) conference.
Could a Deep Learning Model for Mammography Improve Prediction of DCIS and Invasive Breast Cancer?
Artificial intelligence (AI) assessment of mammography images may significantly enhance the prediction of invasive breast cancer and ductal carcinoma in situ (DCIS) in women with breast cancer, according to new research presented at the Society for Breast Imaging (SBI) conference.
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.
Interventional Radiology Study Shows Low Breast Cancer Recurrence 16 Months After Cryoablation
In a cohort of patients with invasive breast cancer and tumor sizes ranging between 0.3 to 9 cm, image-guided cryoablation was associated with a 10 percent recurrence rate at 16 months, according to research recently presented at the Society of Interventional Radiology (SIR) conference.
Emerging Insights on MRI-Guided Transurethral Ultrasound Ablation for Prostate Cancer
For men with prostate cancer, the use of MRI-guided transurethral ultrasound ablation (TULSA) led to a 92 percent decrease in median prostate volume at one year, according to new research recently presented at Society of Interventional Radiology (SIR) conference.
Could Cloud-Based 'Progressive Loading' be a Boon for Radiology Workflows?
The newly launched Progressive Loading feature, available through RamSoft’s OmegaAI software, reportedly offers radiologist rapid uploading of images that is faster than on-site networks and other cloud-based systems regardless of the network radiologists are using.
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 Autonomous AI Help Reduce Prostate MRI Workloads Without Affecting Quality?
Based on findings from a multicenter study of over 1,600 patients, researchers at the European Congress of Radiology suggest the inclusion of autonomous artificial intelligence (AI) triage could facilitate up to a 75 percent reduction in prostate MRI reading workload.
Five Insights on Artifacts and Limitations with Contrast-Enhanced Mammography
Noting that technique issues, patient positioning miscues and atypical features can all contribute to faulty interpretation with contrast-enhanced mammography (CEM), researchers at the European Congress of Radiology shared their insights on navigating artifacts and limitations with CEM.
ECR Study Examines Key Predictive Factors for Metastasis in Patients with High-Risk Prostate Cancer
Sixty-five percent of patients with newly diagnosed high-risk prostate cancer may have extraprostatic extension on MRI, and PSMA PET/CT findings suggest those with Gleason scores of eight or higher have more than double the risk of metastasis, according to a new study presented at the European Congress of Radiology (ECR).
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.