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
- AI Tool Automates Radiotherapy Planning for Cervical and Prostate Cancer
- New Proton Therapy Platform Integrates into Existing Radiotherapy Departments
- 3D-Printed Intraoral Device Enhances Head and Neck Radiotherapy Accuracy
- Molecular Imaging Agent Shows Promise for Endometriosis Detection and Monitoring
- Automated AI Tool Detects Early Pancreatic Cancer on Routine CT
- Routine Cardiac CT Enhanced to Predict Heart Failure Risk
- New Breast Imaging Viewer Unifies Modalities and Enhances Clinical Workflow
- Radiomics Analysis of CT Scans Enhances Evaluation of Sarcoidosis
- Hybrid AI System Improves Early Lung Cancer Detection on CT
- AI Tool Predicts Side Effects from Lung Cancer Treatment
- AI Tool Offers Prognosis for Patients with Head and Neck Cancer
- New 3D Imaging System Addresses MRI, CT and Ultrasound Limitations
- AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
- AI-Based Tool Accelerates Detection of Kidney Cancer
- New Algorithm Dramatically Speeds Up Stroke Detection Scans
- 3D Scanning Approach Enables Ultra-Precise Brain Surgery
Channels
Radiography
view channel
Simple Chest X-Ray Measure Predicts Survival After Lung Cancer Surgery
Obstructive ventilatory disorder, marked by airflow limitation that reduces breathing efficiency, increases postoperative risk in patients with lung cancer. Although surgery offers the best chance of cure,... Read more
AI Detection Tool Improves Identification of Lobular Breast Cancer
Breast cancer screening seeks early detection, yet some subtypes remain difficult to visualize on mammography, risking delayed diagnosis. On average, 1 in 20 women worldwide will develop breast cancer,... Read moreMRI
view channel
Deep Learning Model Predicts Alzheimer’s Disease Outcomes from Baseline MRI
Alzheimer’s disease, which accounts for 60% to 70% of dementia cases worldwide, remains difficult to predict early in its course. Accurate prognostication typically relies on neuropsychological testing,... Read more
AI Body Composition MRI Analysis Predicts Cardiometabolic Disease Risk
Cardiometabolic disease, driven by interactions between cardiovascular and metabolic systems, is a leading cause of morbidity and mortality. Risk assessment often relies on body mass index, which overlooks... Read moreUltrasound
view channelAI Robotic Ultrasound System Automates Echocardiography and Improves Consistency
Echocardiography, an ultrasound examination of the heart, is central to diagnosing and managing cardiovascular disease. Many services struggle with limited availability of skilled sonographers, variable... Read more
Whole Cross-Section Ultrasound System Enables Operator-Independent Imaging
Conventional ultrasound is central to bedside imaging but is limited by a narrow field of view and operator variability. Comprehensive cross-sectional assessment typically requires computed tomography... Read moreNuclear Medicine
view channelMR-Guided Cardiac Mapping System Enables Radiation-Free Procedures
Cardiac electrophysiology procedures are typically guided by X-ray fluoroscopy, which limits soft-tissue visualization and exposes patients and clinical staff to ionizing radiation. Real-time mapping that... Read more
PET Tracer Enables Noninvasive Measurement of Beta Cell Mass
Type 1 diabetes is an autoimmune disease in which the immune system destroys insulin-producing pancreatic beta cells. Loss of these cells destabilizes glucose control and drives complications.... Read more
New Imaging Tool Sheds Light on Tumor Fat Metabolism
Rapidly growing tumors reprogram metabolism to meet high energy demands. While many cancers preferentially consume glucose, lipid utilization by malignant cells is difficult to measure in living subjects.... Read more
Radiopharmaceutical Molecule Marker to Improve Choice of Bladder Cancer Therapies
Targeted cancer therapies only work when tumor cells express the specific molecular structures they are designed to attack. In urothelial carcinoma, a common form of bladder cancer, the cell surface protein... Read moreImaging IT
view channel
Interactive AI Tool Supports Explainable Lung Nodule Assessment
Lung cancer is a leading cause of cancer mortality, and timely characterization of pulmonary nodules on chest computed tomography (CT) is essential for directing care. Interpreting nodule morphology demands... Read more
Breast Imaging Software Enhances Visualization and Tissue Characterization in Challenging Cases
Breast imaging can be particularly challenging in cases involving small breasts or implants, where image reconstruction and tissue characterization may be limited. Clinicians also need reproducible analysis... Read more
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 Highlights AI-Supported Radiation Therapy Tools at ESTRO 2026
At the European Society for Radiotherapy and Oncology (ESTRO) 2026 Congress in Stockholm, GE HealthCare is highlighting Intelligent Radiation Therapy (iRT), MIM Software innovations, and BK Medical surgical... Read more







