Stroke victims get faster “door-to-CT” time when departments communicate effectively, especially when emergency medical staff is called while the patient is en route to the hospital.
Stroke victims get faster "door-to-CT" time when departments communicate effectively, especially when emergency medical staff is called while the patient is en route to the hospital.
The top three medical killers in U.S. -- heart disease, cancer, and stroke -- kill 700,000 people annually. Time is paramount in triaging acute stroke patients receiving intravenous thrombolysis, which must be performed within the "golden time," or three hours of the onset of symptoms. CT examination is a critical aspect of triage.
The study, conducted at the stroke center of the Nassau University Medical Center in East Meadow, NY, surveyed 263 patients during 2007. Most of the patients were 66 to 85 years old, and most had suffered ischemic strokes.
Brief physician assessment, utilizing the National Institutes of Health Stroke Scale, was considered instrumental to activating Nassau's multidisciplinary stroke team. Twenty-four-hour radiology coverage is available, and the CT scanner is cleared upon alert.
Some 76% of the 54 patients who arrived within three hours were evaluated within 10 minutes. In five of the 54 cases in which emergency medical staff was notified while the patient was being transported, door-to-doctor time was reduced to less than three minutes.
All patients who were given IV tissue plasminogen activator met the 25 minute door-to-CT and 45-minute door-to-interpretation recommended times.
Along with notifying emergency medical staff during patient transport, quality assurance "drill downs" were named as essential elements in expediting care for stroke patients.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
Key Chest CT Parameters for Body Composition May be Prognostic for Patients with Resectable NSCLC
February 11th 2025A high intermuscular adipose index has a 49 percent increased likelihood of being associated with lower overall survival in patients with resectable non-small cell lung cancer (NSCLC), according to new research.
The Reading Room: Artificial Intelligence: What RSNA 2020 Offered, and What 2021 Could Bring
December 5th 2020Nina Kottler, M.D., chief medical officer of AI at Radiology Partners, discusses, during RSNA 2020, what new developments the annual meeting provided about these technologies, sessions to access, and what to expect in the coming year.
Comparative AI Study Shows Merits of RapidAI LVO Software in Stroke Detection
February 6th 2025The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.