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

Imaging Software Improves Lung Diagnosis in Patients Allergic To Medical Contrast Dye

By MedImaging International staff writers
Posted on 21 May 2024
Print article
Image: The image shows close similarities between areas of lung function obtained on same patient with CTFI and SPECT (Photo courtesy of Corewell Health)
Image: The image shows close similarities between areas of lung function obtained on same patient with CTFI and SPECT (Photo courtesy of Corewell Health)

For up to 30% of patients who cannot use medical contrast dye due to allergies or other health conditions, diagnosing critical lung issues like pulmonary embolism can be delayed. This is because non-contrast dye imaging methods are less accurate and typically take longer to administer. Now, new imaging software has been developed to address this widespread challenge, offering such patients a more reliable and quicker diagnostic alternative.

Developed at Corewell Health (Southfield, MI, USA), the software known as CT-Derived Functional Imaging, or CTFI, utilizes advanced computed tomography technology. It employs a complex mathematical approach integrated into a formula called the Integrated Jacobian Formulation, which swiftly calculates significant changes in lung volume as a patient breathes in and out. Furthermore, this method tracks changes in blood mass during the inhalation and exhalation phases, providing insights while the blood circulates through the lungs. This capability allows physicians and researchers to obtain consistent patient data, improving the accuracy of diagnoses and the precision of targeted treatments—all without the need for contrast dye. While this software is particularly beneficial for patients who cannot receive contrast dye, it also aids in the management of lung conditions such as chronic obstructive pulmonary disease (COPD) and cancer.

This innovative software has shown potential in minimizing radiation exposure to healthy lung areas adjacent to tumors during treatments. Additionally, it has proven effective in detecting pulmonary embolism by identifying changes in blood mass through a simple non-contrast CT scan during inhalation and exhalation. Recent findings demonstrate the software’s ability to predict disease progression in COPD patients over a decade, a feat that surpasses the capabilities of existing technologies. Researchers are now exploring how integrating a CTFI-based machine learning model with CT scans can enhance diagnostic accuracy, helping doctors better identify patients at risk of disease progression and ultimately improving survival rates for those with COPD.

“Ultimately, the goal is always to ensure doctors have the best tools available to them when treating patients,” said biomedical engineer Edward Castillo, Ph.D. “AI has the potential to further our work significantly in order to improve patient health and save lives.”

Related Links:
Corewell Health 

Print article



view channel
Image: Physicians using the Zenition 90 Motorized mobile X-ray system (Photo courtesy of Royal Philips)

High-Powered Motorized Mobile C-Arm Delivers State-Of-The-Art Images for Challenging Procedures

During complex surgical procedures, clinicians depend on surgical imaging systems as they navigate challenging anatomy to quickly visualize small anatomical details while minimizing X-ray exposure.... Read more


view channel
Image: The device creates microbubbles that temporarily disrupt the BBB, permitting the entry of immunotherapy into the brain (Photo courtesy of Northwestern)

Ultrasound Technology Breaks Blood-Brain Barrier for Glioblastoma Treatment

Despite extensive molecular studies, the outlook for patients diagnosed with the aggressive brain cancer known as glioblastoma (GBM) continues to be poor. This is partly due to the blood-brain barrier... Read more

Nuclear Medicine

view channel
Image: 68Ga-NC-BCH whole-body PET imaging rapidly targets an important gastrointestinal cancer biomarker in lesions in GI cancer patients (Photo courtesy of Qi, Guo, et al.; doi.org/10.2967/jnumed.123.267110)

New PET Radiotracer Enables Same-Day Imaging of Key Gastrointestinal Cancer Biomarker

Gastrointestinal cancers rank among the most prevalent cancers worldwide, contributing to over a quarter of all cancer cases and over one-third of cancer-related deaths annually. The initial symptoms of... 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 © 2000-2024 Globetech Media. All rights reserved.