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
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 Supplier
128 Slice CT Scanner
Supria 128
Gold Supplier
Conductive Gel
DR System Console
Perform-X Smart Console
Gold Supplier
IMRT Thorax Phantom
CIRS Model 002LFC

Print article
Sun Nuclear -    Mirion



view channel
Image: Radiologists outperformed AI in identifying lung diseases on chest X-ray (Photo courtesy of RSNA)

Radiologists Beat AI in Detecting Common Lung Diseases on Chest X-Rays

Chest X-rays are frequently used for diagnosis, but it takes a lot of training and expertise to read these images correctly. Although the Food and Drug Administration (FDA) has approved some artificial... Read more


view channel
Image: The new device targets ultrasound waves to precise spots in the brain (Photo courtesy of WUSTL)

Anatomically Precise Ultrasound-Based Technique to Enable Noninvasive Biopsies for Brain Tumors

The blood-brain barrier serves as a protective wall, keeping the brain safe from harmful elements like viruses and toxins in the blood. This makes it challenging for doctors to obtain molecular and genetic... Read more

Nuclear Medicine

view channel
Image: Imaging entire body instead of only the primary cancer site can provide a total estimate of HER2 expression (Photo courtesy of 123RF)

Whole-Body PET/CT Predicts Response to HER2-Targeted Therapy in Metastatic Breast Cancer Patients

Around 20% of women diagnosed with breast cancer show overexpression of human epidermal growth factor receptor 2 (HER2), making it a key therapy target for new as well as recurring cases.... 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: The partnership combines best-in-class AI-powered technologies for musculoskeletal imaging workflows (Photo courtesy of ImageBiopsy Lab)

AI-Powered Technologies to Aid Interpretation of X-Ray and MRI Images for Improved Disease Diagnosis

Musculoskeletal (MSK) conditions impact more people worldwide than issues related to the circulatory or respiratory systems. Even so, diagnostic procedures for these conditions often still lean on outdated... Read more
Copyright © 2000-2023 Globetech Media. All rights reserved.