MRI Study Identifies Pelvic Floor Parameters that May Lead to Postpartum Stress Urinary Incontinence
Researchers found that the combination of a retrovesicourethral angle, functional urethral length, and bladder funnel on MRI exams in primiparous women had a 94.7 percent AUC for predicting postpartum stress urinary incontinence (SUI).
CAD Versus AI: Let Me Know When the Alphabet Soup Matters in Radiology
October 2nd 2023Is the continued rise of artificial intelligence (AI) driven by legitimate “machine learning,” or do the frequently “suspicious” chest X-rays and questionable detection of subtle findings on head CTs reveal a hype-driven train of new products with an ultimately “planned obsolescence”?
Study Raises Doubt About AI Sensitivity for Smaller and Multiple Findings on Chest X-Rays
In a multicenter study examining four commercially available artificial intelligence (AI) software products for chest X-rays in over 2,000 patients, researchers found sensitivity rates ranging between 33 to 61 percent for vague airspace disease and 9 to 94 percent for small pneumothorax and pleural effusion.
For patients discharged from the hospital with confirmed COVID-19, median five-month follow-up MRI findings revealed a greater likelihood of regional brain volume reduction, parenchymal lung abnormalities and loss of corticomedullary differentiation in the kidney in comparison to people who have not had COVID-19.
Seven Takeaways from New Analysis of Malpractice Cases Involving Interventional Radiologists
Thirty-five percent of the interventional radiology malpractice cases involved vascular procedures and 26 percent of overall malpractice cases that went to trial resulted in plaintiff judgments with the average award being over $2 million.
CMS Issues New Reimbursement Code for PSMA PET Agent POSLUMA
The transitional pass-through payment reimbursement code for the FDA-approved PSMA PET agent for prostate cancer detection will be effective as of October 1, according to the Centers for Medicare and Medicare Services (CMS).
Can a Deep Learning Algorithm Enhance Detection of Prostate Cancer Recurrence with Biparametric MRI?
For patients who had previous radiotherapy for prostate cancer (PCa), researchers found that a biparametric MRI-based deep learning model demonstrated an 81.5 percent sensitivity rate for PCa recurrence in patients previously treated with external beam radiation treatment (EBRT) and 100 percent sensitivity in patients with greater than 34 ml in gland volumes.
New Multicenter Study Shows Viability of AI Tool for Detecting Central PE on CT
The Pulmonary Embolism (PE) Triage and Notification (PETN) module with RapidAI’s RapidPE platform reportedly demonstrated over 90 percent sensitivity and specificity rates for detection of central PE on computed tomography (CT), according to multicenter study findings presented at the 9th Annual Pulmonary Embolism Symposium.
Mammography-Based Deep Learning Model Facilitates Higher Breast Cancer Detection on Screening MRI
New research suggests the capability of a mammography-based deep learning model to identify women at high risk of breast cancer led to more than triple the cancer detection rate on breast MRI in comparison to traditional risk assessment tools.