Functional Brain PET Imaging Effectively Forecasts Which Vegetative Patients Can Recover Consciousness
|
By MedImaging International staff writers Posted on 27 Apr 2014 |

Image: A functional brain imaging technique known as positron emission tomography (PET) is a promising tool for determining which severely brain damaged individuals in vegetative states have the potential to recover consciousness (Photo courtesy of sonap / Fotolia).
Positron emission tomography (PET) has the potential for determining which brain damaged individuals in vegetative states have the potential to recover consciousness, according to new research.
The study’s findings were published online April 16, 2014, in the Lancet. It is the first time that researchers have assessed the diagnostic accuracy of functional brain imaging techniques in clinical practice. “Our findings suggest that PET imaging can reveal cognitive processes that aren’t visible through traditional bedside tests, and could substantially complement standard behavioral assessments to identify unresponsive or ‘vegetative’ patients who have the potential for long-term recovery,” stated study leader Prof. Steven Laureys, from the University of Liége (Belgium).
In severely brain-damaged individuals, judging the level of consciousness has proved challenging. Traditionally, bedside clinical examinations have been used to decide whether patients are in a minimally conscious state (MCS), in which there is some evidence of awareness and response to stimuli, or are in a vegetative state (VS) also known as unresponsive wakefulness syndrome, where there is neither, and the chance of recovery is much lower. But up to 40% of patients are misdiagnosed using these scans.
“In patients with substantial cerebral edema, prediction of outcome on the basis of standard clinical examination and structural brain imaging is probably little better than flipping a coin,” wrote Jamie Sleigh from the University of Auckland (New Zealand), and Catherine Warnaby from the University of Oxford (UK), in a linked comment.
The study evaluated whether two new functional brain imaging techniques—PET with the imaging agent fluorodeoxyglucose (FDG) and functional MRI (fMRI) during mental imagery tasks—could differentiate between vegetative and MCS in 126 patients with severe brain injury (81 in a MCS, 41 in a VS, and four with locked-in syndrome—a behaviorally unresponsive but conscious control group) referred to the University Hospital of Liége, from across Europe. The researchers then compared their results with the well-established standardized Coma Recovery Scale-Revised (CSR-R) behavioral test, considered the most confirmed and sensitive technique for discriminating very low awareness.
FDG-PET was better overall than fMRI in differentiating conscious from unconscious patients. Mental imagery fMRI was less sensitive at diagnosis of a MCS than FDG-PET (45% vs. 93%), and had less agreement with behavioral CRS-R scores than FDG-PET (63% vs. 85%). FDG-PET was about 74% accurate in predicting the extent of recovery within the next year, compared with 56% for fMRI.
Significantly, one-third of the 36 patients diagnosed as behaviorally unresponsive on the CSR-R test who were scanned with FDG-PET showed brain activity consistent with the presence of some consciousness. Nine patients in this group consequently recovered a reasonable level of consciousness.
According to Prof. Laureys, “We confirm that a small but substantial proportion of behaviorally unresponsive patients retain brain activity compatible with awareness. Repeated testing with the CRS-R complemented with a cerebral FDG-PET examination provides a simple and reliable diagnostic tool with high sensitivity towards unresponsive but aware patients. fMRI during mental tasks might complement the assessment with information about preserved cognitive capability, but should not be the main or sole diagnostic imaging method.”
The authors noted that the study was conducted in a specialist unit focusing on the diagnostic neuroimaging of disorders of consciousness and therefore deployment might be more challenging in less specialist units.
Commenting on the study Drs. Sleigh and Warnaby added, “From these data, it would be hard to sustain a confident diagnosis of unresponsive wakefulness syndrome solely on behavioral grounds, without PET imaging for confirmation ... [This] work serves as a signpost for future studies. Functional brain imaging is expensive and technically challenging, but it will almost certainly become cheaper and easier. In the future, we will probably look back in amazement at how we were ever able to practice without it.”
Related Links:
University of Liége
The study’s findings were published online April 16, 2014, in the Lancet. It is the first time that researchers have assessed the diagnostic accuracy of functional brain imaging techniques in clinical practice. “Our findings suggest that PET imaging can reveal cognitive processes that aren’t visible through traditional bedside tests, and could substantially complement standard behavioral assessments to identify unresponsive or ‘vegetative’ patients who have the potential for long-term recovery,” stated study leader Prof. Steven Laureys, from the University of Liége (Belgium).
In severely brain-damaged individuals, judging the level of consciousness has proved challenging. Traditionally, bedside clinical examinations have been used to decide whether patients are in a minimally conscious state (MCS), in which there is some evidence of awareness and response to stimuli, or are in a vegetative state (VS) also known as unresponsive wakefulness syndrome, where there is neither, and the chance of recovery is much lower. But up to 40% of patients are misdiagnosed using these scans.
“In patients with substantial cerebral edema, prediction of outcome on the basis of standard clinical examination and structural brain imaging is probably little better than flipping a coin,” wrote Jamie Sleigh from the University of Auckland (New Zealand), and Catherine Warnaby from the University of Oxford (UK), in a linked comment.
The study evaluated whether two new functional brain imaging techniques—PET with the imaging agent fluorodeoxyglucose (FDG) and functional MRI (fMRI) during mental imagery tasks—could differentiate between vegetative and MCS in 126 patients with severe brain injury (81 in a MCS, 41 in a VS, and four with locked-in syndrome—a behaviorally unresponsive but conscious control group) referred to the University Hospital of Liége, from across Europe. The researchers then compared their results with the well-established standardized Coma Recovery Scale-Revised (CSR-R) behavioral test, considered the most confirmed and sensitive technique for discriminating very low awareness.
FDG-PET was better overall than fMRI in differentiating conscious from unconscious patients. Mental imagery fMRI was less sensitive at diagnosis of a MCS than FDG-PET (45% vs. 93%), and had less agreement with behavioral CRS-R scores than FDG-PET (63% vs. 85%). FDG-PET was about 74% accurate in predicting the extent of recovery within the next year, compared with 56% for fMRI.
Significantly, one-third of the 36 patients diagnosed as behaviorally unresponsive on the CSR-R test who were scanned with FDG-PET showed brain activity consistent with the presence of some consciousness. Nine patients in this group consequently recovered a reasonable level of consciousness.
According to Prof. Laureys, “We confirm that a small but substantial proportion of behaviorally unresponsive patients retain brain activity compatible with awareness. Repeated testing with the CRS-R complemented with a cerebral FDG-PET examination provides a simple and reliable diagnostic tool with high sensitivity towards unresponsive but aware patients. fMRI during mental tasks might complement the assessment with information about preserved cognitive capability, but should not be the main or sole diagnostic imaging method.”
The authors noted that the study was conducted in a specialist unit focusing on the diagnostic neuroimaging of disorders of consciousness and therefore deployment might be more challenging in less specialist units.
Commenting on the study Drs. Sleigh and Warnaby added, “From these data, it would be hard to sustain a confident diagnosis of unresponsive wakefulness syndrome solely on behavioral grounds, without PET imaging for confirmation ... [This] work serves as a signpost for future studies. Functional brain imaging is expensive and technically challenging, but it will almost certainly become cheaper and easier. In the future, we will probably look back in amazement at how we were ever able to practice without it.”
Related Links:
University of Liége
Latest Nuclear Medicine News
- PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
- Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
- New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
- PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
- New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
- Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
- New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
- Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
- Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
- Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
- Innovative PET Imaging Technique to Help Diagnose Neurodegeneration
- New Molecular Imaging Test to Improve Lung Cancer Diagnosis
- Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery
- Next-Gen Tau Radiotracers Outperform FDA-Approved Imaging Agents in Detecting Alzheimer’s
- Breakthrough Method Detects Inflammation in Body Using PET Imaging
- Advanced Imaging Reveals Hidden Metastases in High-Risk Prostate Cancer Patients
Channels
Radiography
view channel
X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
Detecting early-stage cancer or subtle changes deep inside tissues has long challenged conventional X-ray systems, which rely only on how structures absorb radiation. This limitation keeps many microstructural... Read more
AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
Osteoarthritis, a degenerative joint disease affecting over 500 million people worldwide, is the leading cause of disability among older adults. Current diagnostic tools allow doctors to assess damage... Read moreMRI
view channel
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
AI-Assisted Model Enhances MRI Heart Scans
A cardiac MRI can reveal critical information about the heart’s function and any abnormalities, but traditional scans take 30 to 90 minutes and often suffer from poor image quality due to patient movement.... Read more
AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
Hypertrophic cardiomyopathy is one of the most common inherited heart conditions and a leading cause of sudden cardiac death in young individuals and athletes. While many patients live normal lives, some... Read moreUltrasound
view channel
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreGeneral/Advanced Imaging
view channel
3D Scanning Approach Enables Ultra-Precise Brain Surgery
Precise navigation is critical in neurosurgery, yet even small alignment errors can affect outcomes when operating deep within the brain. A new 3D surface-scanning approach now provides a radiation-free... Read more
AI Tool Improves Medical Imaging Process by 90%
Accurately labeling different regions within medical scans, a process known as medical image segmentation, is critical for diagnosis, surgery planning, and research. Traditionally, this has been a manual... Read more
New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
In pancreatic cancer, detecting whether the disease has spread to other organs is critical for determining whether surgery is appropriate. If metastasis is present, surgery is not recommended, yet current... 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 morePatient-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







