Molecular Imaging Transforms Prostate Cancer Management
By MedImaging International staff writers Posted on 02 Apr 2020 |

Image: The Siemens Healthineers Biograph Horizon PET/CT (Photo courtesy of Siemens Healthineers)
Prostate-specific membrane antigen (PSMA) positron emission tomography computed tomography (PET-CT) improves prostate cancer staging accuracy, claims a new study.
Researchers at the University of Melbourne (UNIMELB; Melbourne, Australia), the University of Western Australia (UWA; Crawley, Australia), and other institutions conducted a study involving 300 men at ten sites across Australia diagnosed with prostate cancer and deemed to be at high risk. The men were randomly assigned to receive either conventional CT and bone scans (152 patients) or PSMA-PET/CT (148 patients). The CT produces detailed body images, while the PET scan detects areas where PSMA is present at high levels, indicating the presence of prostate cancer cells.
The results showed that PSMA-PET/CT scans were much more accurate (92%) than conventional CT and bone scans (65%) at detecting cancer spread. Conventional imaging failed to detect cancer spread in 29 patients, giving a false negative result. By comparison, PSMA-PET/CT gave false negative results in just six patients; furthermore, fewer men had false positive results. While both imaging techniques involved radiation exposure, the dose associated with PSMA-PET/CT was less than half (8.4mSv) of conventional imaging (19.2mSv).
In addition, PSMA-PET/CT scans had greater impact on the way the patients' disease was managed, with 28% having their treatment plans changed following scans, compared with 15% following conventional imaging. And when PSMA-PET/CT was introduced at the second round of imaging (after conventional imaging), disease management plans were still changed in 27% of cases, but when conventional imaging was used at the second round, however, just 5% of patients had their treatment plans changed. The study was published on March 20, 2020, in The Lancet.
“Taken together, our findings indicate that PSMA-PET/CT scans offer greater accuracy than conventional imaging and can better inform treatment decisions,” said lead author Professor Michael Hofman, MBBS, of the Peter MacCallum Cancer Centre at UNIMELB. “We recommend that clinical guidelines should be updated to include PSMA PET/CT as part of the diagnostic pathway for men with high risk prostate cancer.”
PET is a nuclear medicine imaging technique that produces a three dimensional (3D) image of functional processes in the body. The system detects pairs of gamma rays emitted indirectly by a positron-emitting radionuclide tracer. Tracer concentrations within the body are then reconstructed in 3D by computer analysis. In modern PET-CT scanners, 3D imaging is often accomplished with the aid of a CT X-ray scan performed on the patient during the same session, in the same machine.
Related Links:
University of Melbourne
University of Western Australia
Researchers at the University of Melbourne (UNIMELB; Melbourne, Australia), the University of Western Australia (UWA; Crawley, Australia), and other institutions conducted a study involving 300 men at ten sites across Australia diagnosed with prostate cancer and deemed to be at high risk. The men were randomly assigned to receive either conventional CT and bone scans (152 patients) or PSMA-PET/CT (148 patients). The CT produces detailed body images, while the PET scan detects areas where PSMA is present at high levels, indicating the presence of prostate cancer cells.
The results showed that PSMA-PET/CT scans were much more accurate (92%) than conventional CT and bone scans (65%) at detecting cancer spread. Conventional imaging failed to detect cancer spread in 29 patients, giving a false negative result. By comparison, PSMA-PET/CT gave false negative results in just six patients; furthermore, fewer men had false positive results. While both imaging techniques involved radiation exposure, the dose associated with PSMA-PET/CT was less than half (8.4mSv) of conventional imaging (19.2mSv).
In addition, PSMA-PET/CT scans had greater impact on the way the patients' disease was managed, with 28% having their treatment plans changed following scans, compared with 15% following conventional imaging. And when PSMA-PET/CT was introduced at the second round of imaging (after conventional imaging), disease management plans were still changed in 27% of cases, but when conventional imaging was used at the second round, however, just 5% of patients had their treatment plans changed. The study was published on March 20, 2020, in The Lancet.
“Taken together, our findings indicate that PSMA-PET/CT scans offer greater accuracy than conventional imaging and can better inform treatment decisions,” said lead author Professor Michael Hofman, MBBS, of the Peter MacCallum Cancer Centre at UNIMELB. “We recommend that clinical guidelines should be updated to include PSMA PET/CT as part of the diagnostic pathway for men with high risk prostate cancer.”
PET is a nuclear medicine imaging technique that produces a three dimensional (3D) image of functional processes in the body. The system detects pairs of gamma rays emitted indirectly by a positron-emitting radionuclide tracer. Tracer concentrations within the body are then reconstructed in 3D by computer analysis. In modern PET-CT scanners, 3D imaging is often accomplished with the aid of a CT X-ray scan performed on the patient during the same session, in the same machine.
Related Links:
University of Melbourne
University of Western Australia
Latest General/Advanced Imaging News
- Cutting-Edge Angio-CT Solution Offers New Therapeutic Possibilities
- Extending CT Imaging Detects Hidden Blood Clots in Stroke Patients
- Groundbreaking AI Model Accurately Segments Liver Tumors from CT Scans
- New CT-Based Indicator Helps Predict Life-Threatening Postpartum Bleeding Cases
- CT Colonography Beats Stool DNA Testing for Colon Cancer Screening
- First-Of-Its-Kind Wearable Device Offers Revolutionary Alternative to CT Scans
- AI-Based CT Scan Analysis Predicts Early-Stage Kidney Damage Due to Cancer Treatments
- CT-Based Deep Learning-Driven Tool to Enhance Liver Cancer Diagnosis
- AI-Powered Imaging System Improves Lung Cancer Diagnosis
- AI Model Significantly Enhances Low-Dose CT Capabilities
- Ultra-Low Dose CT Aids Pneumonia Diagnosis in Immunocompromised Patients
- AI Reduces CT Lung Cancer Screening Workload by Almost 80%
- Cutting-Edge Technology Combines Light and Sound for Real-Time Stroke Monitoring
- AI System Detects Subtle Changes in Series of Medical Images Over Time
- New CT Scan Technique to Improve Prognosis and Treatments for Head and Neck Cancers
- World’s First Mobile Whole-Body CT Scanner to Provide Diagnostics at POC
Channels
Radiography
view channel
AI Hybrid Strategy Improves Mammogram Interpretation
Breast cancer screening programs rely heavily on radiologists interpreting mammograms, a process that is time-intensive and subject to errors. While artificial intelligence (AI) models have shown strong... Read more
AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
Breast cancer remains one of the most common cancers among women, with about one in eight receiving a diagnosis in their lifetime. Despite widespread use of mammography, about 34% of patients in the U.... Read moreMRI
view channel
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
Non-Invasive Ultrasound-Based Tool Accurately Detects Infant Meningitis
Meningitis, an inflammation of the membranes surrounding the brain and spinal cord, can be fatal in infants if not diagnosed and treated early. Even when treated, it may leave lasting damage, such as cognitive... Read more
Breakthrough Deep Learning Model Enhances Handheld 3D Medical Imaging
Ultrasound imaging is a vital diagnostic technique used to visualize internal organs and tissues in real time and to guide procedures such as biopsies and injections. When paired with photoacoustic imaging... Read moreNuclear Medicine
view channel
New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
Nuclear medicine scans like single-photon emission computed tomography (SPECT) allow doctors to observe heart function, track blood flow, and detect hidden diseases. However, current detectors are either... Read more
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 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