Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us

Download Mobile App




3D Modeling System Accurately Predicts Pediatric Donor Heart Volumes

By HospiMedica International staff writers
Posted on 24 Nov 2015
A new three dimensional (3D) computer modeling system may more accurately identify the best donor heart for a pediatric transplant patient.

To develop the new 3D system, researchers at Arizona State University (ASU; Tempe, USA) and Phoenix Children’s Hospital (AZ, USA) first created a library of 3D reconstructed hearts in healthy children weighing up to 45 kilograms, using magnetic resonance imaging (MRI) and computerized tomography (CT) scans. More...
They then used the virtual library to predict the best donor body weight/heart size correlation needed for pediatric transplant recipients. Concomitantly, they examined before and after images from infants who had already received a heart transplant.

When the researchers compared the post-operative data from the real infants with the virtual transplant images, they found that the 3D imaging system accurately identified an appropriate size heart, validating their findings. The researchers are currently expanding the virtual library to improve prognostic capabilities, thus allowing more effective organ allocation and minimizing the number of otherwise acceptable organs that are ultimately discarded. The study was presented at the annual American Heart Association (AHA) Scientific Sessions, held during November 2015 in Orlando (FL, USA).

“It is critical to optimize the range of acceptable donors for each child. 3D reconstruction has tremendous potential to improve donor size matching,” said lead author and study presenter Jonathan Plasencia, BSc, of the ASU image processing applications lab. “We feel that we now have evidence that 3D matching can improve selection and hope this will soon help transplant doctors, patients, and their parents make the best decision by taking some of the uncertainty out of this difficult situation.”

“Analyzing future transplant cases using 3D matching will allow us to predict the true upper and lower limits of acceptable donor size. The big question is how long it will take to further test the technique and move it into actual use,” concluded Mr. Plasencia, who is a PhD student at ASU. “One day transplant teams may be able to use the 3D process to perform virtual transplants before an actual procedure to rapidly measure a donated heart to ensure a better fit and to reduce the risk of mismatching in pediatric transplants.”

Transplant centers currently assess compatibility of a potential donor heart by comparing the donor weight to the recipient weight, and then picking an upper and lower limit based on the size of the patient’s heart on chest X-ray. But the assessment is not precise and variations in size and volume can have a major effect on the recipient’s outcome.

Related Links:

Arizona State University
Phoenix Children’s Hospital 



Gold Member
Neonatal Heel Incision Device
Tenderfoot
Radiology Monitor
MDNC-6121 Barco Nio Color 5.8MP
Creatinine/eGFR Meter
StatSensor® Creatinine/eGFR Meter
Surgical System
Stealth AXiS
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to HospiMedica.com and get access to news and events that shape the world of Hospital Medicine.
  • Free digital version edition of HospiMedica International sent by email on regular basis
  • Free print version of HospiMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of HospiMedica International in digital format
  • Free HospiMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Artificial Intelligence

view channel
Image: Artificial intelligence (AI) standalone performance and reader performance with versus without AI assistance. (A) Receiver operating characteristics (ROC) curve for AI standalone performance in the US dataset (AUC 0.899, 95% CI 0.858 to 0.939). (B) ROC curve for AI standalone performance in the Korean dataset (AUC 0.963, 95% CI 0.946 to 0.975). (C) Pooled reader ROC without (AUC 0.718) versus with (AUC 0.852) AI assistance in the Korean dataset; P<0.001. AUC, area under the receiver operating characteristics curve. (Leonard Sunwoo et al., Journal of NeuroInterventional Surgery (2026). DOI: 10.1136/jnis-2026-025339)

AI Improves Non-Contrast CT Interpretation for Time-Sensitive Stroke Assessment

Acute ischemic stroke occurs when a blood vessel in the brain becomes blocked, requiring rapid diagnosis to enable timely reperfusion therapy. Emergency departments often use computed tomography angiography... Read more

Critical Care

view channel
Image: Tubes attached to this artificial lung are connected to the patient\'s neck or chest, allowing blood to circulate and get oxygen while the patient is conscious. (Image Credit: Carnegie MellonImage: Tubes attached to this artificial lung are connected to the patient\'s neck or chest, allowing blood to circulate and get oxygen while the patient is conscious. (Image Credit: Carnegie Mellon University)University)

Portable Artificial Lung Technology Could Reshape Care for Chronic Lung Disease

Chronic lung disease can leave patients dependent on prolonged mechanical ventilation or awaiting transplantation, both of which carry substantial morbidity and healthcare costs. Ventilatory support may... Read more

Surgical Techniques

view channel
Image Credit: 123RF

Needle-Free Intrauterine Anesthesia Technique Reduces Pain During IUD Insertion

Pain during intrauterine device (IUD) placement often deters women from choosing this long-acting contraception. Avoiding or undertreating procedural pain can reduce uptake and satisfaction with effective... Read more

Point of Care

view channel
Image Credit: 123RF

Continuous Glucose Monitoring Identifies Cardiometabolic Risk in Adults Without Diabetes

Dysglycemia—abnormal blood glucose regulation—can fluctuate throughout the day and often escape conventional screening. Clinicians typically rely on fasting plasma glucose and hemoglobin A1c, which offer... Read more

Business

view channel
Image: LigaSure RAS Maryland, designed for the Valleylab FT10 platform on Hugo RAS, seals and cuts vessels, tissue, and lymphatics up to 7 mm in diameter (Photo courtesy of Medtronic)

Medtronic Receives FDA Clearance for Vessel-Sealing Instrument for Robotic Surgery

As robotic-assisted surgery expands across U.S. hospitals, teams increasingly seek energy instruments with the familiarity and performance of tools used in open and laparoscopic procedures.... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.