DW-MRI Lights up Small Ovarian Lesions like Light Bulbs
By MedImaging International staff writers Posted on 12 Mar 2024 |

Radiologists face a significant challenge in identifying peritoneal disease on CT scans, which have a mere 11% sensitivity rate for lesions under 5 mm. However, MRI, particularly diffusion-weighted imaging (DW-MRI), shows these lesions much more clearly, illuminating them as if they were light bulbs. This suggests DW-MRI's potential value in the treatment planning of ovarian cancer. Researchers, including those from the Netherlands Cancer Institute (Amsterdam, Netherlands), engaged in the multicenter MISSION trial which focuses not only on the feasibility of achieving complete debulking surgery but also examines the cost-effectiveness of DW-MRI in the diagnostic process of advanced ovarian cancer. The prospective study was designed to follow a routine care pathway and also assess surgical outcomes, interobserver agreement, and MRI’s ability to detect small lesions not identified during initial surgical examination.
The study enrolled 220 patients with advanced-stage (FIGO III/IV) ovarian cancer, aged 65 to 67, scheduled for primary (27 patients) or interval (193 patients) debulking surgery between 2018 and 2023. Exclusions were made for those with debulking or MRI contraindications and any prior malignancy within the last five years. Significantly, surgeons were unaware of preoperative MRI findings and were only exposed to MRI results after completing a thorough abdominal inspection and estimating a Peritoneal Carcinomatosis Index (PCI) score. The study’s results demonstrated that MRI could predict complete primary and interval debulking surgeries with considerable accuracy (AUC 0.9 for primary and AUC 0.83 for interval). However, the researchers noted limitations in detecting lesions smaller than 4 mm.
Additionally, there was strong interobserver agreement, with a score of 0.81. Additionally, surgeons confirmed MRI findings that were initially overlooked during surgical inspection upon reviewing the DW-MRI data. The study also found that MRI was budget-neutral, offsetting the need for diagnostic laparoscopy in certain cases. Although diagnostic laparoscopy effectively predicts complete debulking, it is not an ideal method. The study’s significance lies in its contribution to managing patients with advanced ovarian cancer, who typically have a poor five-year prognosis due to late-stage detection at diagnosis.
Related Links:
Netherlands Cancer Institute
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
Channels
Radiography
view channel
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 more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel
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 more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... 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