3D Scanning Enables Earlier Melanoma Detection
|
By MedImaging International staff writers Posted on 30 Sep 2021 |

Image: A 3-D fully body imaging scanner can map the entire body in one second (Photo courtesy of ACEMID)
The Australian Centre of Excellence in Melanoma Imaging and Diagnosis (ACEMID; Brisbane, Australia), a collaboration between the University of Queensland (UQ; Brisbane, Australia), the University of Sydney (US; Australia), and Monash University (Melbourne, Australia) is the basis for a new national network of interconnected 3D full body scanning and mapping systems that can help track moles and skin spots over time.
The telemedicine network will allow dermatologists and medical professionals to detect skin cancers remotely, across Australia. Medical researchers will be able to immediately access a database of up to 100,000 patient images taken by the 3D full body imaging systems located in the Queensland, New South Wales (NSW), and Victoria. Using algorithms created by artificial intelligence (AI), the 3D imaging systems can analyze the images and produce a full body skin spot map, which can be used to monitor patients over time.
“Australia has the highest rates of melanoma in the world, with an average 28,000 Australians diagnosed with the disease every year,” said UQ dermatologist Professor H. Peter Soyer, MD. “This technology is revolutionizing early melanoma detection using 3D state-of-the-art body imaging systems that take an image in milliseconds, making it a game-changer for melanoma detection.”
“Australia has the deadliest form of melanoma, for which there is currently no standardized diagnosis. Clinical trials and cohort studies are crucial sources of evidence for the improvement of health and healthcare,” said Greg Hunt, Australian Minister for Health and Aged Care. “Cutting-edge, total-body 3D imaging machines across metropolitan and regional Queensland, NSW, and Victoria, will help to discover more effective diagnosis options for thousands of Australians who are tested for skin cancer each year.”
Melanoma is a malignant tumor of melanocytes, the cells that produce the dark pigment, melanin, which is responsible for the color of skin. They predominantly occur in skin, but are also found in other parts of the body, including the bowel and the eye. Melanoma is less common than other skin cancers. However, it is much more dangerous and causes the majority (75%) of deaths related to skin cancer. Treatment includes surgical removal of the tumor, adjuvant treatment, chemo- and immunotherapy, or radiation therapy.
Related Links:
Australian Centre of Excellence in Melanoma Imaging and Diagnosis
University of Queensland
University of Sydney
Monash University
The telemedicine network will allow dermatologists and medical professionals to detect skin cancers remotely, across Australia. Medical researchers will be able to immediately access a database of up to 100,000 patient images taken by the 3D full body imaging systems located in the Queensland, New South Wales (NSW), and Victoria. Using algorithms created by artificial intelligence (AI), the 3D imaging systems can analyze the images and produce a full body skin spot map, which can be used to monitor patients over time.
“Australia has the highest rates of melanoma in the world, with an average 28,000 Australians diagnosed with the disease every year,” said UQ dermatologist Professor H. Peter Soyer, MD. “This technology is revolutionizing early melanoma detection using 3D state-of-the-art body imaging systems that take an image in milliseconds, making it a game-changer for melanoma detection.”
“Australia has the deadliest form of melanoma, for which there is currently no standardized diagnosis. Clinical trials and cohort studies are crucial sources of evidence for the improvement of health and healthcare,” said Greg Hunt, Australian Minister for Health and Aged Care. “Cutting-edge, total-body 3D imaging machines across metropolitan and regional Queensland, NSW, and Victoria, will help to discover more effective diagnosis options for thousands of Australians who are tested for skin cancer each year.”
Melanoma is a malignant tumor of melanocytes, the cells that produce the dark pigment, melanin, which is responsible for the color of skin. They predominantly occur in skin, but are also found in other parts of the body, including the bowel and the eye. Melanoma is less common than other skin cancers. However, it is much more dangerous and causes the majority (75%) of deaths related to skin cancer. Treatment includes surgical removal of the tumor, adjuvant treatment, chemo- and immunotherapy, or radiation therapy.
Related Links:
Australian Centre of Excellence in Melanoma Imaging and Diagnosis
University of Queensland
University of Sydney
Monash University
Latest General/Advanced Imaging News
- 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
- AI Tool Improves Medical Imaging Process by 90%
- New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
- AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
- 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
Channels
Radiography
view channel
AI Boosts Breast Cancer Detection and Cuts Screening Workload
Breast cancer screening programs face rising demand and persistent workforce shortages, straining double-reading workflows and delaying care. Early detection is critical to reduce mortality and minimize... Read more
AI Tool Predicts Breast Cancer Risk Years Ahead Using Routine Mammograms
Breast cancer screening saves lives but still relies largely on uniform schedules despite wide differences in individual risk. This one-size-fits-all approach can miss cancers in higher-risk women while... Read moreMRI
view channel
MRI-Derived Biomarker Improves Risk Stratification in Glioblastoma
Glioblastoma is marked by rapid growth and diffuse infiltration that complicate prognosis and treatment planning. Clinicians need objective tools that capture both how these tumors expand and how they... Read more
Combined Imaging Approach Identifies Cause of Heart Attack without Coronary Blockage
Patients who present with myocardial infarction but show no obstructive coronary disease often leave without a definitive diagnosis. That uncertainty complicates in-hospital decision-making and post-discharge... Read moreUltrasound
view channel
New Ultrasound AI Tool Supports Rapid Prenatal Assessment
Accurate gestational age estimation guides prenatal screening, detection of complications, and timely intervention. Access to ultrasound and trained sonographers is uneven, with nearly half of U.... Read more
New Consensus Standardizes Ultrasound-Based Fatty Liver Assessment
Metabolic dysfunction-associated steatotic liver disease (MASLD) is rising along with obesity and diabetes, making accurate, scalable measurement of hepatic fat a clinical priority. Biopsy is invasive... Read moreNuclear Medicine
view channel
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
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
Nuclear Medicine Set for Continued Growth Driven by Demand for Precision Diagnostics
Clinical imaging services face rising demand for precise molecular diagnostics and targeted radiopharmaceutical therapy as cancer and chronic disease rates climb. A new market analysis projects rapid expansion... Read more







