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
Radcal IBA  Group

Download Mobile App




CT Scans Show Patients with Severe Cases of H1N1 Are at Risk for Developing Acute Pulmonary Emboli

By MedImaging International staff writers
Posted on 02 Nov 2009
Image: Colored coronal computer tomography (CT) scan of a pulmonary embolism (Photo courtesy of Du Cane Medical Imaging).
Image: Colored coronal computer tomography (CT) scan of a pulmonary embolism (Photo courtesy of Du Cane Medical Imaging).
Researchers utilizing computed tomography (CT) scans have found that patients with severe cases of the Influenza A virus H1N1 flu are at risk for developing severe complications, including pulmonary emboli (PE).

A pulmonary embolism occurs when one or more arteries in the lungs become blocked. The condition can be life threatening. However, if treated aggressively, anticoagulants (blood thinners) can reduce the risk of death.

The study, performed at the University of Michigan Health Service (Ann Arbor, USA), included 66 patients diagnosed with the H1N1 flu. Two study groups were formed. Group 1 consisted of 14 patients who were severely ill and required intensive care unit (ICU) admission. Group 2 consisted of 52 patients who were not severely ill and did not require ICU admission.

All 66 patients underwent chest X-rays for the detection of H1N1 abnormalities. Ten patients from the ICU group and five patients from the largely outpatient group, underwent CT scans. "Pulmonary emboli were seen on CT in 5 of 14 ICU patients,” said Prachi P. Agarwal, M.D., lead author of the study. "Our study suggests that patients who are severely ill with H1N1 are also at risk for developing PE, which should be carefully sought for on contrast-enhanced CT scans,” Dr. Agarwal said.

The research was published online October 14, 2009, in the American Journal of Roentgenology (AJR).

"With the upcoming annual influenza season in the United States, knowledge of the radiologic features of H1N1 is important, as well as the virus's potential complications. The majority of patients undergoing chest X-rays with H1N1 have normal radiographs. CT scans proved valuable in identifying those patients at risk of developing more serious complications as a possible result of the H1N1 virus, and for identifying a greater extent of disease than is appreciated on chest radiographs,” concluded Dr. Agarwal.

Related Links:

University of Michigan Health Service


Half Apron
Demi
Medical Radiographic X-Ray Machine
TR30N HF
Portable X-ray Unit
AJEX140H
Diagnostic Ultrasound System
DC-80A

Channels

Nuclear Medicine

view channel
Image: LHSCRI scientist Dr. Glenn Bauman stands in front of the PET scanner (Photo courtesy of LHSCRI)

New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer

Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more

General/Advanced Imaging

view channel
Image: Concept of the photo-thermoresponsive SCNPs (J F Thümmler et al., Commun Chem (2025). DOI: 10.1038/s42004-025-01518-x)

New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents

Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... 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
Copyright © 2000-2025 Globetech Media. All rights reserved.