3D Models Improve Outcomes for Heart Surgery Patients
By MedImaging International staff writers Posted on 11 Jul 2017 |

Image: Kan Wang, a postdoctoral researcher at Georgia Tech, and Zhen Qian, chief of cardiovascular imaging research at Piedmont Heart Institute, inspect a printed heart valve (Photo courtesy of Rob Felt, Georgia Tech).
Researchers have shown that cardiologists could benefit from using patient-specific heart valve models while preparing for heart valve replacement surgery.
The scientists used new 3D printing technologies and standard Computed Tomography (CT) scans to create patient-specific heart valve models.
The researchers from the Georgia Institute of Technology (Georgia Tech; Atlanta, GA; USA) and the Piedmont Heart Institute (Atlanta, GA, USA) intend to use the technology to increase the success rate of Transcatheter Aortic Valve Replacements (TAVR) procedures. The study was published in the July 3, 2017, issue of the journal JACC: Cardiovascular Imaging.
The researchers used CT imaging to scan 18 valve-replacement surgery patients, and created the models using a multi-material 3D printer. The researchers were able to recreate calcium deposition, aortic stenosis, and other patient-unique cardiac aspects.
The researchers found that the 3D-printed valves accurately mimicked the physiological qualities of the real heart valves and could help cardiologists reliably predict paravalvular leakage, and pick the best prosthetic valve.
Zhen Qian, chief of Cardiovascular Imaging Research at Piedmont Heart Institute, part of Piedmont Healthcare, said, "Paravalvular leakage is an extremely important indicator in how well the patient will do long term with their new valve. The idea was, now that we can make a patient-specific model with this tissue-mimicking 3D printing technology, we can test how the prosthetic valves interact with the 3D-printed models to learn whether we can predict leakage. Even though this valve replacement procedure is quite mature, there are still cases where picking a different size prosthetic or different manufacturer could improve the outcome, and 3D printing will be very helpful to determine which one. Eventually, once a patient has a CT scan, we could create a model, try different kinds of valves in there, and tell the physician which one might work best."
Related Links:
Georgia Institute of Technology
Piedmont Heart Institute
The scientists used new 3D printing technologies and standard Computed Tomography (CT) scans to create patient-specific heart valve models.
The researchers from the Georgia Institute of Technology (Georgia Tech; Atlanta, GA; USA) and the Piedmont Heart Institute (Atlanta, GA, USA) intend to use the technology to increase the success rate of Transcatheter Aortic Valve Replacements (TAVR) procedures. The study was published in the July 3, 2017, issue of the journal JACC: Cardiovascular Imaging.
The researchers used CT imaging to scan 18 valve-replacement surgery patients, and created the models using a multi-material 3D printer. The researchers were able to recreate calcium deposition, aortic stenosis, and other patient-unique cardiac aspects.
The researchers found that the 3D-printed valves accurately mimicked the physiological qualities of the real heart valves and could help cardiologists reliably predict paravalvular leakage, and pick the best prosthetic valve.
Zhen Qian, chief of Cardiovascular Imaging Research at Piedmont Heart Institute, part of Piedmont Healthcare, said, "Paravalvular leakage is an extremely important indicator in how well the patient will do long term with their new valve. The idea was, now that we can make a patient-specific model with this tissue-mimicking 3D printing technology, we can test how the prosthetic valves interact with the 3D-printed models to learn whether we can predict leakage. Even though this valve replacement procedure is quite mature, there are still cases where picking a different size prosthetic or different manufacturer could improve the outcome, and 3D printing will be very helpful to determine which one. Eventually, once a patient has a CT scan, we could create a model, try different kinds of valves in there, and tell the physician which one might work best."
Related Links:
Georgia Institute of Technology
Piedmont Heart Institute
Latest Imaging IT News
- New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
- Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
- AI-Based Mammography Triage Software Helps Dramatically Improve Interpretation Process
- Artificial Intelligence (AI) Program Accurately Predicts Lung Cancer Risk from CT Images
- Image Management Platform Streamlines Treatment Plans
- AI-Based Technology for Ultrasound Image Analysis Receives FDA Approval
- AI Technology for Detecting Breast Cancer Receives CE Mark Approval
- Digital Pathology Software Improves Workflow Efficiency
- Patient-Centric Portal Facilitates Direct Imaging Access
- New Workstation Supports Customer-Driven Imaging Workflow
Channels
MRI
view channel
AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
Many pediatric gliomas are treatable with surgery alone, but relapses can be catastrophic. Predicting which patients are at risk for recurrence remains challenging, leading to frequent follow-ups with... Read more
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more