PET-CT Imaging Forecasts Survival of Lymphoma Better Than Standard Imaging Strategies
By MedImaging International staff writers Posted on 28 Sep 2014 |
Positron emission tomography-computed tomography (PET-CT) imaging is more accurate than traditional CT scanning in gauging response to treatment and predicting survival in patients with follicular lymphoma, and should be used routinely in clinical practice.
The findings were published September 18, 2014, in the journal the Lancet Haematology. “Our findings have important implications for patients with follicular lymphoma, a common and typically slow-growing lymphoma. Compared to conventional CT scanning, PET-CT is more accurate in mapping-out the lymphoma, and better identifies the most patients who have a prolonged remission after treatment,” explained Judith Trotman, study leader and associate professor at Concord Hospital, University of Sydney (Australia).
Almost all patients with follicular lymphoma, a common type of non-Hodgkin lymphoma, respond very well to initial treatment with immunochemotherapy, but relapse is common. Current practice is to use CT imaging to evaluate treatment response. However, CT cannot simply differentiate patients who are apt to continue in a prolonged remission for several years from those at high risk of early relapse. This creates substantial uncertainty for patients.
PET-CT is performed using a very small amount of a tracer called 18F-fluorodeoxyglucose (FDG)—glucose containing a radioactive tag—which is injected into the patient. The FDG is highly concentrated in lymphoma cells and so the PET-CT scan will light-up in areas of lymphoma activity. An important objective of therapy is to “turn off” these lighted areas, obtaining a PET-negative remission.
By evaluating the imaging findings performed in three clinical trials, Dr. Trotman and her French and Italian colleagues studied the association between PET-CT status and survival following first-line immunochemotherapy for advanced follicular lymphoma. Independent, masked reviewers evaluated the scans of 246 patients who underwent both PET-CT and traditional CT imaging within three months of their last dose of therapy.
The predictive strength of PET-CT was much stronger than conventional CT, accurately identifying patients with an unfavorable prognosis, a PET-positive population with a high rate of disease progression and a nearly seven-fold increased risk of death in whom the cancer should be closely monitored. PET-CT also identified that the 83% of patients who achieved PET-negativity had a reassuringly encouraging prognosis, with average remission duration beyond six years.
According to Prof. Trotman, “Our study shows that PET-CT is much better in evaluating treatment response and is an early predictor of survival. This greater accuracy will assist physicians to more effectively monitor their patients. We expect this research will result in PET-CT imaging replacing CT, becoming the new gold standard to evaluate patients with follicular lymphoma after treatment. Importantly, it will be a platform for future studies of response-adapted therapies aimed to improve the poor outcomes for those patients who remain PET positive.”
In a linked comment in the same issue of the journal, Prof. Bruce Cheson, deputy chief, hematology-oncology and head of hematology at Lombardi Comprehensive Cancer Center, Georgetown University (Washington DC, USA), wrote, “Trotman and colleagues’ results might lead to several clinical research opportunities. One such possibility would be to assess if an early reaction to the PET scan result improves patient outcome. Thus, patients with a positive PET scan after induction therapy could be randomly assigned to either deferred treatment until disease progression or immediate intervention. A preferable alternative would be to introduce a unique agent at that time, such as the newly developed small molecules [e.g., idelalisib, ibrutinib, or ABT-199] in a novel combination.”
The findings were discussed at the International Workshop on PET in Lymphoma, held in Menton (France), September 18–20, 2014.
Related Links:
University of Sydney
The findings were published September 18, 2014, in the journal the Lancet Haematology. “Our findings have important implications for patients with follicular lymphoma, a common and typically slow-growing lymphoma. Compared to conventional CT scanning, PET-CT is more accurate in mapping-out the lymphoma, and better identifies the most patients who have a prolonged remission after treatment,” explained Judith Trotman, study leader and associate professor at Concord Hospital, University of Sydney (Australia).
Almost all patients with follicular lymphoma, a common type of non-Hodgkin lymphoma, respond very well to initial treatment with immunochemotherapy, but relapse is common. Current practice is to use CT imaging to evaluate treatment response. However, CT cannot simply differentiate patients who are apt to continue in a prolonged remission for several years from those at high risk of early relapse. This creates substantial uncertainty for patients.
PET-CT is performed using a very small amount of a tracer called 18F-fluorodeoxyglucose (FDG)—glucose containing a radioactive tag—which is injected into the patient. The FDG is highly concentrated in lymphoma cells and so the PET-CT scan will light-up in areas of lymphoma activity. An important objective of therapy is to “turn off” these lighted areas, obtaining a PET-negative remission.
By evaluating the imaging findings performed in three clinical trials, Dr. Trotman and her French and Italian colleagues studied the association between PET-CT status and survival following first-line immunochemotherapy for advanced follicular lymphoma. Independent, masked reviewers evaluated the scans of 246 patients who underwent both PET-CT and traditional CT imaging within three months of their last dose of therapy.
The predictive strength of PET-CT was much stronger than conventional CT, accurately identifying patients with an unfavorable prognosis, a PET-positive population with a high rate of disease progression and a nearly seven-fold increased risk of death in whom the cancer should be closely monitored. PET-CT also identified that the 83% of patients who achieved PET-negativity had a reassuringly encouraging prognosis, with average remission duration beyond six years.
According to Prof. Trotman, “Our study shows that PET-CT is much better in evaluating treatment response and is an early predictor of survival. This greater accuracy will assist physicians to more effectively monitor their patients. We expect this research will result in PET-CT imaging replacing CT, becoming the new gold standard to evaluate patients with follicular lymphoma after treatment. Importantly, it will be a platform for future studies of response-adapted therapies aimed to improve the poor outcomes for those patients who remain PET positive.”
In a linked comment in the same issue of the journal, Prof. Bruce Cheson, deputy chief, hematology-oncology and head of hematology at Lombardi Comprehensive Cancer Center, Georgetown University (Washington DC, USA), wrote, “Trotman and colleagues’ results might lead to several clinical research opportunities. One such possibility would be to assess if an early reaction to the PET scan result improves patient outcome. Thus, patients with a positive PET scan after induction therapy could be randomly assigned to either deferred treatment until disease progression or immediate intervention. A preferable alternative would be to introduce a unique agent at that time, such as the newly developed small molecules [e.g., idelalisib, ibrutinib, or ABT-199] in a novel combination.”
The findings were discussed at the International Workshop on PET in Lymphoma, held in Menton (France), September 18–20, 2014.
Related Links:
University of Sydney
Latest Nuclear Medicine News
- 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
- Combining Advanced Imaging Technologies Offers Breakthrough in Glioblastoma Treatment
- New Molecular Imaging Agent Accurately Identifies Crucial Cancer Biomarker
- New Scans Light Up Aggressive Tumors for Better Treatment
- AI Stroke Brain Scan Readings Twice as Accurate as Current Method
- AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer
- New Imaging Agent to Drive Step-Change for Brain Cancer Imaging
- Portable PET Scanner to Detect Earliest Stages of Alzheimer’s Disease
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 moreMRI
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)
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 moreGeneral/Advanced Imaging
view channel
CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
Medical imaging, such as computed tomography (CT) scans, plays a crucial role in oncology, offering essential data for cancer detection, treatment planning, and monitoring of response to therapies.... Read more
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 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