Pinpoint Radiotherapy Procedure Shown Effective for Breast Cancer
By MedImaging staff writers Posted on 18 Mar 2008 |
A large-scale trial has demonstrated that a novel radiotherapy procedure to be very successful, both in terms of medical results and cost-effectiveness.
The study, conducted by investigators from the European Institute of Oncology (IEO; Milan, Italy), was published in the February 28, 2008, issue of the journal ecancermedicalscience. The investigators examined the use of electron intraoperative therapy (ELIOT), which reduces the radiotherapy course from six weeks to one single session during surgery.
The traditional treatment for early breast cancer is breast-conserving surgery (BCS) followed by a five to seven week course of radiotherapy. However, many women still undergo mastectomies because they do not have easy access to postoperative radiotherapy centers. As 85% of local relapses after BCS occur near the initial site of disease, there has been an increased interest in using partial breast irradiation (PBI) directed to the tissue immediately surrounding the site of tumor removal.
Investigators have evaluated the use of ELIOT alone for early-stage breast cancer since 1999. This technique uses radiotherapy machines kept or easily moved in the operating room. After removal of the tumor, a high accuracy, high-dose radiation pulse is delivered to the breast tissue surrounding the site. Since it was first piloted by the IEO in 1999, ELIOT has been given to 1,246 patients, with an overall survival rate at five years of 96.5%. Only 24 out of the 1,246 cases (1.9%) saw a breast-cancer related event after this period.
Apart from this success, the system has several other advantages: Cosmetic damage is greatly limited and post-op plastic surgery is easily conducted. The flexible nature of the radiotherapy machine and its presence during surgery means that additional doses of radiotherapy can be given if needed for specific reasons. Furthermore, the complete protection against radiation provided by the combination of pinpoint doses and protective metal disk means that side effects from unwanted radiation are abolished.
The main advantage, however, is for those patients living in areas remote from radiotherapy centers, who would otherwise have to travel everyday for six weeks, and often decide on complete breast removal to avoid the huge stress of such an undertaking.
The investigators stated that their results, "confirmed the positive impact of ELIOT on patient quality of life: ELIOT is feasible and well accepted. We are waiting for the long-term results on local control from the ongoing randomized trial in progress at our institute to decide whether to adopt the technique in daily standard practice. However, as the data from the present large series are reassuring [97% of local control and 98.8% survival at five years], we believe that, at least for women living far from radiotherapy centers and with minimal risk of local recurrence [age > 50 and primary carcinoma < 1.5 cm.], the ELIOT treatment might be considered an option, provided that the patient consents to the proposal.”
Prof. Gordon McVie, of the European Institute of Oncology, added, "this is the largest experience in the world of sequential patients treated in a phase II trial with intra-operative radiotherapy. Its unprecedented size and positive results gives great hope for both this technique and breast cancer patients worldwide.”
Related Links:
European Institute of Oncology
The study, conducted by investigators from the European Institute of Oncology (IEO; Milan, Italy), was published in the February 28, 2008, issue of the journal ecancermedicalscience. The investigators examined the use of electron intraoperative therapy (ELIOT), which reduces the radiotherapy course from six weeks to one single session during surgery.
The traditional treatment for early breast cancer is breast-conserving surgery (BCS) followed by a five to seven week course of radiotherapy. However, many women still undergo mastectomies because they do not have easy access to postoperative radiotherapy centers. As 85% of local relapses after BCS occur near the initial site of disease, there has been an increased interest in using partial breast irradiation (PBI) directed to the tissue immediately surrounding the site of tumor removal.
Investigators have evaluated the use of ELIOT alone for early-stage breast cancer since 1999. This technique uses radiotherapy machines kept or easily moved in the operating room. After removal of the tumor, a high accuracy, high-dose radiation pulse is delivered to the breast tissue surrounding the site. Since it was first piloted by the IEO in 1999, ELIOT has been given to 1,246 patients, with an overall survival rate at five years of 96.5%. Only 24 out of the 1,246 cases (1.9%) saw a breast-cancer related event after this period.
Apart from this success, the system has several other advantages: Cosmetic damage is greatly limited and post-op plastic surgery is easily conducted. The flexible nature of the radiotherapy machine and its presence during surgery means that additional doses of radiotherapy can be given if needed for specific reasons. Furthermore, the complete protection against radiation provided by the combination of pinpoint doses and protective metal disk means that side effects from unwanted radiation are abolished.
The main advantage, however, is for those patients living in areas remote from radiotherapy centers, who would otherwise have to travel everyday for six weeks, and often decide on complete breast removal to avoid the huge stress of such an undertaking.
The investigators stated that their results, "confirmed the positive impact of ELIOT on patient quality of life: ELIOT is feasible and well accepted. We are waiting for the long-term results on local control from the ongoing randomized trial in progress at our institute to decide whether to adopt the technique in daily standard practice. However, as the data from the present large series are reassuring [97% of local control and 98.8% survival at five years], we believe that, at least for women living far from radiotherapy centers and with minimal risk of local recurrence [age > 50 and primary carcinoma < 1.5 cm.], the ELIOT treatment might be considered an option, provided that the patient consents to the proposal.”
Prof. Gordon McVie, of the European Institute of Oncology, added, "this is the largest experience in the world of sequential patients treated in a phase II trial with intra-operative radiotherapy. Its unprecedented size and positive results gives great hope for both this technique and breast cancer patients worldwide.”
Related Links:
European Institute of Oncology
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
Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans
A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more
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
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 more
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 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