May 14th 2024
The artificial intelligence (AI)-powered module provides a prostate segmentation tool for MRI-guided transurethral ultrasound ablation (TULSA) procedures in patients with prostate cancer.
Study Says Low-Field MRI Offers Sufficient Diagnostic Quality for Detecting Spinal Pathology
March 11th 2024In a study of patients who had lumbar spine MRI exams at 0.55T, 1.5T and 3T, researchers found that 0.55T MRI provided acceptable diagnostic quality across all sequences for varying pathologies including degenerative joint disease, compression fractures and osseous metastatic disease.
Can Autonomous AI Help Reduce Prostate MRI Workloads Without Affecting Quality?
March 1st 2024Based 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.
Can Non-Contrast Abbreviated MRI be a Viable Alternative for HCC Surveillance?
February 27th 2024A new meta-analysis noted pooled sensitivity and specificity rates of 83 percent and 91 percent, respectively, for the use of non-contrast abbreviated MRI in surveillance of hepatocellular carcinoma (HCC).
Moving Beyond Mammography for Screening and Staging of Invasive Lobular Carcinoma
February 16th 2024For women with dense breasts, only 25 percent of breast radiologists are confident in the use of mammography for diagnosing invasive lobular carcinoma, according to newly published survey results from the Society of Breast Imaging.
Can Combination of mpMRI and Extracellular Vesicle-Based Biomarkers Enhance csPCa Detection?
January 29th 2024A multivariable model that includes mpMRI and blood testing assessment of prostate extracellular vesicles had a significantly higher AUC and sensitivity rate than mpMRI alone for predicting clinically significant prostate cancer, according to research presented at the American Society of Clinical Oncology Genitourinary Cancers Symposium (ASCO-GU).
Study Shows BPE Quantification on MRI Helps Predict Risk of Breast Cancer Recurrence
January 24th 2024Researchers found that several measurements of background parenchymal enhancement (BPE) on dynamic contrast-enhanced MRI were linked to a 27 to 66 percent higher risk of breast cancer recurrence.
Claustrophobia in Magnetic Resonance Imaging: An Analysis of Causes, Impacts and Solutions
January 18th 2024Given the frequent challenges in magnetic resonance imaging that are associated with claustrophobia, this author discusses innovations in noise reduction, radiofrequency coils and wide bore scanners, and emphasizes keys to relieving patient anxiety.
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.
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.
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.”