Novel Intraoperative Probe Developed for Cancer Surgery
|
By MedImaging International staff writers Posted on 03 Jul 2017 |
|
Image: A depiction of the new multimodal probe in use during surgery, together with a Magnetic Resonance Imaging (MRI) scan of a brain cancer patient, showing the tumor in red (Photo courtesy of Frédéric Leblond and Kevin Petrecca).
An innovative intraoperative probe for detecting different types of tumor cells has been developed by researchers in Canada.
The multimodal hand-held Raman optical spectroscopy probe enables surgeons to detect nearly all cancer cells during brain surgery.
The scientists from the Polytechnique Montréal (Montréal, Canada), and two other hospitals and Universities developed the hand-held Raman spectroscopy probe. The device is now accurate, sensitive and specific enough for detecting brain, colon, lung, and skin cancer cells. During intraoperative testing the probe showed nearly 100% sensitivity for detecting cancer cells. Details of the breakthrough technology were published in the June 28, 2017, issue of the American Association for Cancer Research journal Cancer Research.
The unique feature of the new second-generation system is that it can be used in real-time, during a surgical procedure, to detect cancer cells. The multimodal probe uses intrinsic fluorescence spectroscopy, and diffuse-reflectance spectroscopy technologies. A randomized clinical trial is currently under way using the first-generation Raman spectroscopy probe for patients with gliomas, and will help researchers develop a protocol for a clinical trial of the new second-generation multimodal probe.
Chief of Neurosurgery, brain cancer researcher Dr. Petrecca, said, "Minimizing, or completely eliminating, the number of cancer cells during surgery is a critical part of cancer treatment, yet detecting cancer cells during surgery is challenging. Often it is impossible to visually distinguish cancer from normal brain, so invasive brain cancer cells frequently remain after surgery, leading to cancer recurrence and a worse prognosis. Surgically minimizing the number of cancer cells improves patient outcomes. A technology with extremely high accuracy is necessary, since surgeons will be using this information to help determine if tissues contain cancer cells or not."
Related Links:
Polytechnique Montréal
The multimodal hand-held Raman optical spectroscopy probe enables surgeons to detect nearly all cancer cells during brain surgery.
The scientists from the Polytechnique Montréal (Montréal, Canada), and two other hospitals and Universities developed the hand-held Raman spectroscopy probe. The device is now accurate, sensitive and specific enough for detecting brain, colon, lung, and skin cancer cells. During intraoperative testing the probe showed nearly 100% sensitivity for detecting cancer cells. Details of the breakthrough technology were published in the June 28, 2017, issue of the American Association for Cancer Research journal Cancer Research.
The unique feature of the new second-generation system is that it can be used in real-time, during a surgical procedure, to detect cancer cells. The multimodal probe uses intrinsic fluorescence spectroscopy, and diffuse-reflectance spectroscopy technologies. A randomized clinical trial is currently under way using the first-generation Raman spectroscopy probe for patients with gliomas, and will help researchers develop a protocol for a clinical trial of the new second-generation multimodal probe.
Chief of Neurosurgery, brain cancer researcher Dr. Petrecca, said, "Minimizing, or completely eliminating, the number of cancer cells during surgery is a critical part of cancer treatment, yet detecting cancer cells during surgery is challenging. Often it is impossible to visually distinguish cancer from normal brain, so invasive brain cancer cells frequently remain after surgery, leading to cancer recurrence and a worse prognosis. Surgically minimizing the number of cancer cells improves patient outcomes. A technology with extremely high accuracy is necessary, since surgeons will be using this information to help determine if tissues contain cancer cells or not."
Related Links:
Polytechnique Montréal
X-ray Diagnostic System
FDX Visionary-A
Ultrasonic Pocket Doppler
SD1
Digital Radiographic System
OMNERA 300M
Wall Fixtures
MRI SERIES
Latest MRI News
- 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
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
Channels
Radiography
view channel
AI Improves Early Detection of Interval Breast Cancers
Interval breast cancers, which occur between routine screenings, are easier to treat when detected earlier. Early detection can reduce the need for aggressive treatments and improve the chances of better outcomes.... Read more
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
MRI
view channel
Cutting-Edge MRI Technology to Revolutionize Diagnosis of Common Heart Problem
Aortic stenosis is a common and potentially life-threatening heart condition. It occurs when the aortic valve, which regulates blood flow from the heart to the rest of the body, becomes stiff and narrow.... Read more
New MRI Technique Reveals True Heart Age to Prevent Attacks and Strokes
Heart disease remains one of the leading causes of death worldwide. Individuals with conditions such as diabetes or obesity often experience accelerated aging of their hearts, sometimes by decades.... Read more
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 moreUltrasound
view channel.jpeg "Image: The AI-powered lung ultrasound tool outperformed human experts by 9% in diagnosing TB (Photo courtesy of Adobe Stock)")
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 more
Nuclear 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 more
Imaging 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 more
Industry 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