Molecular Imaging Technique Improves Endometriosis Diagnosis
|
By MedImaging International staff writers Posted on 08 Jun 2022 |

Endometriosis is a common inflammatory condition affecting women, associated with painful periods, chronic pelvic pain, and infertility. It is believed to be due to tissue that resembles the lining of the womb sticking to areas outside the uterus, usually in the pelvis. However, diagnosing endometriosis often results in multiple visits to physicians, multiple scans and often surgery to confirm the diagnosis. As a result, there is a delay to get a diagnosis of endometriosis, mainly due to lack of non-invasive tests capable of detecting all endometriosis subtypes (ovarian, superficial, and deep disease). Now, a new research study is investigating whether a 20-minute imaging scan can detect the most common types of endometriosis, which currently require surgery to diagnose.
Endometriosis experts at the University of Oxford (Oxford, UK) have joined hands with Serac Healthcare Ltd. (London, UK) to investigate whether an experimental imaging marker (⁹⁹ᵐTc maraciclatide) that binds to areas of inflammation can be used in endometriosis to visualize the disease on a scan. The imaging marker has been used for detecting inflammation in conditions such as rheumatoid arthritis in other research studies across the UK, EU and US. Maraciclatide is for investigational use only and is not approved by the FDA or UK and European regulatory authorities.
The potential strengths of the scan lie in the way the imaging marker binds to areas of inflammation, which may allow doctors to distinguish between new and old lesions and detect endometriosis in areas not easily seen during surgery such as the lung. The development of a 20-minute imaging test would reduce the need for repeated visits to doctors, for repeated investigations, and for invasive surgery to obtain a diagnosis. This would ultimately reduce the time taken to confirm or exclude endometriosis.
Initially, the study will involve women who are scheduled to have planned surgery for suspected endometriosis. Two to seven days before their operation, the participants will be invited for an imaging scan which will compare the suspected locations of disease detected on the scan and in surgery to confirm whether this imaging test could be an effective non-invasive method of detecting all endometriosis subtypes.
“There is an urgent unmet clinical need for a non-invasive marker to identify or rule out endometriosis as it is such a very common disease affecting more than 190 million women worldwide,” said Professor Christian Becker, Co-Director of the Endometriosis CaRe Centre in Oxford, who will lead the study.
“We are excited about the potential of ⁹⁹ᵐTc maraciclatide to diagnose endometriosis non-invasively and delighted to be working with the internationally renowned team at Oxford on this important first study,” said David Hail, CEO of Serac Healthcare.
Related Links:
University of Oxford
Serac Healthcare Ltd.
Latest Nuclear Medicine News
- New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
- PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
- New Camera Sees Inside Human Body for Enhanced Scanning and Diagnosis
- Novel Bacteria-Specific PET Imaging Approach Detects Hard-To-Diagnose Lung Infections
- New Imaging Approach Could Reduce Need for Biopsies to Monitor Prostate Cancer
- 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
Channels
Radiography
view channel
AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
Osteoarthritis, a degenerative joint disease affecting over 500 million people worldwide, is the leading cause of disability among older adults. Current diagnostic tools allow doctors to assess damage... Read more
AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
Cardiovascular disease remains the leading cause of death in women worldwide, responsible for about nine million deaths annually. Despite this burden, symptoms and risk factors are often under-recognized... 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
Ultrasound Probe Images Entire Organ in 4D
Disorders of blood microcirculation can have devastating effects, contributing to heart failure, kidney failure, and chronic diseases. However, existing imaging technologies cannot visualize the full network... Read more
Disposable Ultrasound Patch Performs Better Than Existing Devices
Wearable ultrasound devices are widely used in diagnostics, rehabilitation monitoring, and telemedicine, yet most existing models rely on lead-based piezoelectric ceramics that pose health and environmental risks.... Read moreNuclear Medicine
view channel
New Imaging Solution Improves Survival for Patients with Recurring Prostate Cancer
Detecting recurrent prostate cancer remains one of the most difficult challenges in oncology, as standard imaging methods such as bone scans and CT scans often fail to accurately locate small or early-stage tumors.... Read more
PET Tracer Enables Same-Day Imaging of Triple-Negative Breast and Urothelial Cancers
Triple-negative breast cancer (TNBC) and urothelial bladder carcinoma (UBC) are aggressive cancers often diagnosed at advanced stages, leaving limited time for effective treatment decisions.... Read more
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 moreGeneral/Advanced Imaging
view channel
New Ultrasmall, Light-Sensitive Nanoparticles Could Serve as Contrast Agents
Medical imaging technologies face ongoing challenges in capturing accurate, detailed views of internal processes, especially in conditions like cancer, where tracking disease development and treatment... Read more
AI Algorithm Accurately Predicts Pancreatic Cancer Metastasis Using Routine CT Images
In pancreatic cancer, detecting whether the disease has spread to other organs is critical for determining whether surgery is appropriate. If metastasis is present, surgery is not recommended, yet current... 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 morePatient-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







