Concussion Recovery Time May Take Longer for Men
By MedImaging International staff writers Posted on 22 May 2014 |

Image: Uncinate fasiculus, an important tract with the greatest concentration of progesterone receptors, show greater injury in males than females after mild traumatic brain injury (mTBI). (a) Axial and (b) coronal images show regions of decreased fractional anisotropy in male patients with mTBI relative to female mTBI patients, involving the uncinate fasiculus (red) bilaterally (Photo courtesy of Radiology).
A study of concussion patients using diffusion tensor imaging (DTI) found that males took longer to recover after concussion than females did. The study’s findings revealed that DTI can be used as a bias-free approach to predict concussion outcome.
The study’s findings were published online May 6, 2014, in the journal Radiology. More than 17 million individuals in the United States suffer a mild traumatic brain injury (mTBI) yearly, also known as a concussion, of which approximately 15% suffer persistent symptoms beyond three months.
Evaluating outcomes and recovery time after concussion can be very subjective. Typically, clinicians must rely on patient cooperation to assess injury severity. “MRI [magnetic resonance imaging] and CT [computed tomography] brain images of concussion patients are often normal,” said Saeed Fakhran, MD, assistant professor of neuroradiology at the University of Pittsburgh School of Medicine (PA, USA). “Diffusion tensor imaging is the first imaging technique that shows abnormalities associated with concussion, because it is able to see white matter tracts at a microscopic level.”
The investigators studied the medical records and imaging results of 69 patients diagnosed with mTBI between 2006 and 2013, including 47 males and 22 females, and 21 controls consisting of 10 males and 11 females (median age of males: 17; median age of females: 16). Of the 47 males with mTBI, 32 (68%) were injured while playing a sport, as were 10 of the 22 females (45%).
All patients underwent the same evaluation, including a computerized neurocognitive test and DTI of the brain. The DTI scans of the mTBI patients revealed abnormalities within the uncinate fasciculi (UF), a white matter tract that connects the frontal and temporal lobes of the brain. Although its precise role is controversial, the UF tract is believed to allow temporal lobe-based memory associations to modify behavior though interactions with another area of the brain.
The DTI scans revealed that compared to the female mTBI patients, the male mTBI patients had significantly decreased UF FA values. “In the future, we would like to look at the issue of gender and concussions more in depth to determine who does better and why,” Dr. Fakhran said.
A statistical analysis of the data revealed that UF FA value was a stronger predictor of recovery time than initial symptom severity based on neurocognitive testing. The most substantial risk factor for a recovery time longer than three months was decreased UF FA. Male gender also directly correlated with increased recovery time. “The potential of DTI and UF FA to predict outcome after concussion has great clinical impact,” Dr. Fakhran said. “Currently, we are heavily reliant on patient reporting, and patients may have ulterior motives, such as wanting to get back to play. But you can’t trick an MR scanner.”
The median time to symptom recovery for all concussion patients was 54 days. However, compared to the female patients who recovered in an average of 26.3 days, recovery substantially took longer for the male patients (an average of 66.9 days), regardless of the first symptom severity. “Male gender and UF FA values are independent risk factors for persistent postconcussion symptoms after three months and stronger predictors of time to recovery than initial symptom severity or neurocognitive test results,” Dr. Fakhran said.
Dr. Fakhran reported that the study’s findings indicate a potential role for UF FA values in triaging concussion patients in the future. “There’s prognostic value in DTI for both children participating in sports as well as for professional athletes,” he said. “Lower FA values in the uncinate fasciculi could offer a metric for evaluating the severity of mild traumatic brain injuries and predicting clinical outcome. We’re not at the point where DTI can provide individual prognoses yet, but that’s the hope and goal.”
Related Links:
University of Pittsburgh School of Medicine
The study’s findings were published online May 6, 2014, in the journal Radiology. More than 17 million individuals in the United States suffer a mild traumatic brain injury (mTBI) yearly, also known as a concussion, of which approximately 15% suffer persistent symptoms beyond three months.
Evaluating outcomes and recovery time after concussion can be very subjective. Typically, clinicians must rely on patient cooperation to assess injury severity. “MRI [magnetic resonance imaging] and CT [computed tomography] brain images of concussion patients are often normal,” said Saeed Fakhran, MD, assistant professor of neuroradiology at the University of Pittsburgh School of Medicine (PA, USA). “Diffusion tensor imaging is the first imaging technique that shows abnormalities associated with concussion, because it is able to see white matter tracts at a microscopic level.”
The investigators studied the medical records and imaging results of 69 patients diagnosed with mTBI between 2006 and 2013, including 47 males and 22 females, and 21 controls consisting of 10 males and 11 females (median age of males: 17; median age of females: 16). Of the 47 males with mTBI, 32 (68%) were injured while playing a sport, as were 10 of the 22 females (45%).
All patients underwent the same evaluation, including a computerized neurocognitive test and DTI of the brain. The DTI scans of the mTBI patients revealed abnormalities within the uncinate fasciculi (UF), a white matter tract that connects the frontal and temporal lobes of the brain. Although its precise role is controversial, the UF tract is believed to allow temporal lobe-based memory associations to modify behavior though interactions with another area of the brain.
The DTI scans revealed that compared to the female mTBI patients, the male mTBI patients had significantly decreased UF FA values. “In the future, we would like to look at the issue of gender and concussions more in depth to determine who does better and why,” Dr. Fakhran said.
A statistical analysis of the data revealed that UF FA value was a stronger predictor of recovery time than initial symptom severity based on neurocognitive testing. The most substantial risk factor for a recovery time longer than three months was decreased UF FA. Male gender also directly correlated with increased recovery time. “The potential of DTI and UF FA to predict outcome after concussion has great clinical impact,” Dr. Fakhran said. “Currently, we are heavily reliant on patient reporting, and patients may have ulterior motives, such as wanting to get back to play. But you can’t trick an MR scanner.”
The median time to symptom recovery for all concussion patients was 54 days. However, compared to the female patients who recovered in an average of 26.3 days, recovery substantially took longer for the male patients (an average of 66.9 days), regardless of the first symptom severity. “Male gender and UF FA values are independent risk factors for persistent postconcussion symptoms after three months and stronger predictors of time to recovery than initial symptom severity or neurocognitive test results,” Dr. Fakhran said.
Dr. Fakhran reported that the study’s findings indicate a potential role for UF FA values in triaging concussion patients in the future. “There’s prognostic value in DTI for both children participating in sports as well as for professional athletes,” he said. “Lower FA values in the uncinate fasciculi could offer a metric for evaluating the severity of mild traumatic brain injuries and predicting clinical outcome. We’re not at the point where DTI can provide individual prognoses yet, but that’s the hope and goal.”
Related Links:
University of Pittsburgh School of Medicine
Latest MRI News
- AI Model Outperforms Doctors at Identifying Patients Most At-Risk of Cardiac Arrest
- New MRI Technique Reveals Hidden Heart Issues
- Shorter MRI Exam Effectively Detects Cancer in Dense Breasts
- MRI to Replace Painful Spinal Tap for Faster MS Diagnosis
- MRI Scans Can Identify Cardiovascular Disease Ten Years in Advance
- Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable
- Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
- New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
- AI Tool Predicts Relapse of Pediatric Brain Cancer from Brain MRI Scans
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
Channels
Radiography
view channel
AI Detects Fatty Liver Disease from Chest X-Rays
Fatty liver disease, which results from excess fat accumulation in the liver, is believed to impact approximately one in four individuals globally. If not addressed in time, it can progress to severe conditions... Read more
AI Detects Hidden Heart Disease in Existing CT Chest Scans
Coronary artery calcium (CAC) is a major indicator of cardiovascular risk, but its assessment typically requires a specialized “gated” CT scan that synchronizes with the heartbeat. In contrast, most chest... Read moreUltrasound
view channel
Wireless Chronic Pain Management Device to Reduce Need for Painkillers and Surgery
Chronic pain affects millions of people globally, often leading to long-term disability and dependence on opioid medications, which carry significant risks of side effects and addiction.... Read more
New Medical Ultrasound Imaging Technique Enables ICU Bedside Monitoring
Ultrasound computed tomography (USCT) presents a safer alternative to imaging techniques like X-ray computed tomography (commonly known as CT or “CAT” scans) because it does not produce ionizing radiation.... Read moreNuclear Medicine
view channel
Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
Mycobacteroides abscessus is a rapidly growing mycobacteria that primarily affects immunocompromised patients and those with underlying lung diseases, such as cystic fibrosis or chronic obstructive pulmonary... Read more
New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
Prostate cancer is the second leading cause of cancer-related death among men in the United States. However, the majority of older men diagnosed with prostate cancer have slow-growing, low-risk forms of... Read moreGeneral/Advanced Imaging
view channel
CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
As colorectal cancer remains the second leading cause of cancer-related deaths worldwide, early detection through screening is vital to reduce advanced-stage treatments and associated costs.... Read more
First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
Currently, patients with conditions such as heart failure, pneumonia, or respiratory distress often require multiple imaging procedures that are intermittent, disruptive, and involve high levels of radiation.... Read more
AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
Radioligand therapy, a form of targeted nuclear medicine, has recently gained attention for its potential in treating specific types of tumors. However, one of the potential side effects of this therapy... 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