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
Sekisui Diagnostics UK Ltd.

Download Mobile App





3D Models Used for Research on Reptile and Bird Lungs Can Confirm Diagnosis of COVID-19 in Patients

By HospiMedica International staff writers
Posted on 08 Sep 2020
Print article
Illustration
Illustration
A radiologist and evolutionary anatomist from the LSU Health Sciences Center New Orleans (New Orleans, LA, USA) have found that the same techniques used for research on reptile and bird lungs can be used to help confirm the diagnosis of COVID-19 in patients.

Their paper published in BMJ Case Reports demonstrates that 3D models are a strikingly clearer method for visually evaluating the distribution of COVID-19-related infection in the respiratory system. Emma R. Schachner, PhD, Associate Professor of Cell Biology & Anatomy, and Bradley Spieler, MD, Vice Chairman of Radiology Research and Associate Professor of Radiology, Internal Medicine, Urology, & Cell Biology and Anatomy at LSU Health New Orleans School of Medicine, created 3D digital models from CT scans of patients hospitalized with symptoms associated with SARS-CoV-2.

Three patients who were suspected of having COVID-19 underwent contrast enhanced thoracic CT when their symptoms worsened. Two had tested positive for SARS-CoV-2, but one was reverse transcription chain reaction (RT-PCR) negative. But because this patient had compelling clinical and imaging, the result was presumed to be a false negative. Given diagnostic challenges with respect to false negative results by RT-PCR, the gold standard for COVID-19 diagnostic screening, CT can be helpful in establishing this diagnosis. Importantly, these CT features can range in form and structure and appear to correlate with disease progression. This allows for 3D segmentation of the data in which lung tissue can be volumetrically quantified or airflow patterns could be modeled.

The CT scans were all segmented into 3D digital surface models using the scientific visualization program Avizo (Thermofisher Scientific) and techniques that the Schachner Lab uses for evolutionary anatomy research. To date, there haven’t been good models of what COVID is doing to the lungs. So, this project focused on the visualization of the lung damage in the 3D models as compared to previous methods that have been published - volume-rendered models and straight 2D screen shots of CT scans and radiographs. The three models all show varying degrees of COVID-19 related infection in the respiratory tissues - particularly along the back of the lungs, and bottom sections. They more clearly show COVID-19-related infection in the respiratory system compared to radiographs (x-rays), CT scans, or RT-PCR testing alone.

“The full effect of COVID-19 on the respiratory system remains unknown, but the 3D digital segmented models provide clinicians a new tool to evaluate the extent and distribution of the disease in one encapsulated view,” said Dr. Spieler. “This is especially useful in the case where RT-PCR for SARS-CoV-2 is negative but there is strong clinical suspicion for COVID-19.”

Related Links:
LSU Health Sciences Center New Orleans

Gold Member
12-Channel ECG
CM1200B
Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Silver Member
Compact 14-Day Uninterrupted Holter ECG
NR-314P
New
EEG System
BRAIN QUICK

Print article

Channels

Surgical Techniques

view channel
Image: Computational models can predict future structural integrity of a child’s heart valves (Photo courtesy of 123RF)

Computational Models Predict Heart Valve Leakage in Children

Hypoplastic left heart syndrome is a serious birth defect in which the left side of a baby’s heart is underdeveloped and ineffective at pumping blood, forcing the right side to handle the circulation to... Read more

Patient Care

view channel
Image: The newly-launched solution can transform operating room scheduling and boost utilization rates (Photo courtesy of Fujitsu)

Surgical Capacity Optimization Solution Helps Hospitals Boost OR Utilization

An innovative solution has the capability to transform surgical capacity utilization by targeting the root cause of surgical block time inefficiencies. Fujitsu Limited’s (Tokyo, Japan) Surgical Capacity... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The Quantra Hemostasis System has received US FDA special 510(k) clearance for use with its Quantra QStat Cartridge (Photo courtesy of HemoSonics)

Critical Bleeding Management System to Help Hospitals Further Standardize Viscoelastic Testing

Surgical procedures are often accompanied by significant blood loss and the subsequent high likelihood of the need for allogeneic blood transfusions. These transfusions, while critical, are linked to various... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.