News | Orthopedic Imaging | May 23, 2017

Asterias MRI Data Shows AST-OPC1 Cells Prevent Cavitation in Severe Spinal Cord Injury Patients

Data indicate disease-modifying aspects of AST-OPC1 may carry long-term benefits related to both recovery and maintenance of motor and sensory function

Asterias MRI Data Shows AST-OPC1 Cells Prevent Cavitation in Severe Spinal Cord Injury Patients

May 23, 2017 — Asterias Biotherapeutics Inc. recently announced new positive serial magnetic resonance imaging (MRI) data from its ongoing AST-OPC1 SCiStar Phase 1/2a clinical trial in patients with severe spinal cord injury.

Study data indicated that:

  • For the five AIS-A patients in the SCiStar study treated with 10 million AST-OPC1 cells (Cohort 2) who also received a serial MRI scan at six months of follow-up, the serial MRI scans indicated no sign of lesion cavities in any patient. These fluid-filled cavities typically form by about three months following severe spinal cord injury and prevent significant recovery of motor and sensory function;
  • For the three patients in Cohort 2 that have also completed 12 months of follow-up, serial MRI scans at 12 months continued to indicate no signs of lesion cavities; and
  • All three AIS-A patients who received a low dose of 2 million cells (Cohort 1) in the SCiStar study also showed no sign of lesion cavities in any patient through 1 year of follow-up.  All three patients are continuing long-term follow-up and will receive additional MRI scans annually.

The MRI results are supportive of the extensive pre-clinical data on AST-OPC1 showing that the cells durably engraft and help prevent cavitation at the injury site. Cavitation is a destructive process that occurs within the spinal cord following spinal cord injuries, and typically results in permanent loss of motor and sensory function. Additionally, a patient with cavitation can develop a condition known as syringomyelia, which results in additional neurological and functional damage to the patient.

Under the study protocol, patients are monitored by MRI scans at regular intervals over 12 months in order to assess status of the injection site and surrounding tissues.

For more information: www.asteriasbiotherapeutics.com

Related Content

ITN Wins Jesse H. Neal Award for Best Technical Content
News | Radiology Business | April 24, 2019
April 24, 2019 — Imaging Technology News (ITN) was recently named the 2019 Jesse H.
New Study Redefines Therapeutic Dose Guidelines for Non-Small Cell Lung Cancer
News | Lung Cancer | April 23, 2019
Non-small cell lung cancer is a common cancer for both men and women. Many people who are diagnosed with this type of...
Konica Minolta Dynamic Digital Radiography Receives FDA Clearance

With DDR, orthopedists and MSK specialists can acquire a full view of the MSK system in the supine and prone positions to view changes in the bone and articulations throughout the full range of motion. Image courtesy of Konica Minolta Healthcare Americas.

Technology | Digital Radiography (DR) | April 23, 2019
Konica Minolta Healthcare Americas Inc. announced that its Dynamic Digital Radiography (DDR) technology, introduced at...
Comparison of state Medicaid fees for radiation oncology services for breast cancer and nonradiation oncology services per the Kaiser Family Foundation Index

Fig. 1: Comparison of state Medicaid fees for radiation oncology services for breast cancer and nonradiation oncology services per the Kaiser Family Foundation Index. (Agarwal et al, Red Journal, 2019) Credit: Elsevier

News | Radiation Therapy | April 22, 2019
April 22, 2019 — A new study finds wide state
Stereotactic Radiosurgery Effective for Pediatric Arteriovenous Malformation Patients
News | Radiation Therapy | April 19, 2019
Ching-Jen Chen, M.D., of the neurosurgery department at the University of Virginia (UVA) Health System, was the winner...
Video Plus Brochure Helps Patients Make Lung Cancer Scan Decision

Image courtesy of the American Thoracic Society

News | Lung Cancer | April 19, 2019
A short video describing the potential benefits and risks of low-dose computed tomography (CT) screening for lung...
Artificial Intelligence Performs As Well As Experienced Radiologists in Detecting Prostate Cancer
News | Artificial Intelligence | April 18, 2019
University of California Los Angeles (UCLA) researchers have developed a new artificial intelligence (AI) system to...
Surgically Guided Brachytherapy Improves Outcomes for Intracranial Neoplasms
News | Brachytherapy Systems | April 18, 2019
Peter Nakaji, M.D., FAANS, general practice neurosurgeon at Barrow Neurological Institute, presented new research on...
Check-Cap Initiates U.S. Pilot Study of C-Scan for Colorectal Cancer Screening
News | Colonoscopy Systems | April 15, 2019
Check-Cap Ltd. has initiated its U.S. pilot study of the C-Scan system for prevention of colorectal cancer through...
A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images

A smart algorithm has been trained on a neural network to recognize the appearance of breast cancer in MR images. The algorithm, described at the SBI/ACR Breast Imaging Symposium, used “Deep Learning,“ a form of machine learning, which is a type of artificial intelligence. Graphic courtesy of Sarah Eskreis-Winkler, M.D.

Feature | Artificial Intelligence | April 12, 2019 | By Greg Freiherr
The use of smart algorithms has the potential to make healthcare more efficient.