We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App

AI Reduces Radiologists’ Rate of Missed Incidental Pulmonary Embolism on CT Scans

By MedImaging International staff writers
Posted on 27 Apr 2023
Print article
Image: The AI-assisted workflow prioritization tool demonstrated high diagnostic accuracy in the study (Photo courtesy of Freepik)
Image: The AI-assisted workflow prioritization tool demonstrated high diagnostic accuracy in the study (Photo courtesy of Freepik)

Pulmonary embolism (PE) is one of the most frequently missed or delayed diagnoses by physicians. Identifying incidental PE on routine contrast-enhanced chest CT scans can be particularly challenging when it is small and isolated. Prompt detection of PE is vital due to the increased risk of adverse patient outcomes. Now, a new study reveals that commercially available artificial intelligence (AI) software can significantly decrease radiologists' rate of missed incidental pulmonary embolism on routine CT scans.

The study by researchers at Netherlands Cancer Institute (Amsterdam, Netherlands) showed that Aidoc’s (Tel Aviv, Israel) AI-assisted workflow prioritization tool had high diagnostic accuracy and saved time for busy providers. The study sample consisted of 11,736 contrast-enhanced CT scans from 6,447 oncology patients treated at a comprehensive cancer center between 2019 and 2020. The study was divided into three separate periods: (1) radiologists without AI assistance or special instructions while reporting, (2) no aid but with instructions to screen for possible incidental PE and human triage performed by a staff radiologist, and (3) radiologists assisted by AI to prioritize their work lists.

With 15-week intervals between the three phases for radiologists to acclimate to the software, the prevalence of incidental PE ranged from 1% to 1.4% during the three phases. The software achieved high diagnostic accuracy for this concern, including 91.6% sensitivity, 99.7% specificity, and a negative predictive value of 99.9%. In clinical practice with a backlog of unreported exams, AI reduced the median detection and notification time for incidental PE in flagged scans from "several days" to just one hour. Simultaneously, the missed rate of incidental PE decreased from 44.8% to 2.6% when radiologists were supported by AI. Approximately 37.8% of incidental PE-positive scans showed emboli in the main or lobar pulmonary arteries, with the most evident benefits of timely assessment and treatment in these patients, according to the researchers.

“We demonstrated that commercially available AI software had high diagnostic accuracy in the detection of [incidental] PE on chest CT scans in patients with cancer and was effective in significantly reducing the time to diagnosis of positive examinations compared with the routine workflow in a setting with a backlog of unreported scans,” concluded the researchers.

Related Links:
Netherlands Cancer Institute

Gold Member
Solid State Kv/Dose Multi-Sensor
Ultrasound System
1.5T Superconducting MRI System
uMR 680
Full Field Digital Mammography Phantom
Mammo FFDM Phantom

Print article



view channel
Image: The artificial intelligence model outperformed clinical tests at predicting the progress of Alzheimer’s disease (Photo courtesy of 123RF)

AI Outperforms Clinical Tests at Predicting Alzheimer’s Progress from MRI Scans

Dementia is a major global health challenge, impacting over 55 million individuals worldwide and costing approximately USD 820 billion annually. Projections indicate that the number of cases will nearly... Read more


view channel
Image: The new FDA-cleared AI-enabled applications have been integrated into the EPIQ CVx and Affiniti CVx ultrasound systems (Photo courtesy of Royal Philips)

Next-Gen AI-Enabled Cardiovascular Ultrasound Platform Speeds Up Analysis

Heart failure is a significant global health challenge, affecting approximately 64 million individuals worldwide. It is associated with high mortality rates and poor quality of life, placing a considerable... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more

Industry News

view channel
Image: Calantic Digital Solutions is an orchestrated suite of AI radiology solutions that aims to transform radiology (Photo courtesy of Bayer)

Bayer and Rad AI Collaborate on Expanding Use of Cutting Edge AI Radiology Operational Solutions

Imaging data constitutes approximately 90% of all medical data, with the volume of such data continuously expanding, thereby significantly increasing the workload for radiologists amid existing resource limitations.... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.