Advanced Imaging Increases Incidentaloma Findings
By MedImaging International staff writers Posted on 13 Aug 2018 |
Image: Cystic pancreatic incidentaloma in a 75-year-old woman with hematuria (Photo courtesy of NIH).
High-resolution magnetic resonance imaging (MRI) and positron emission technology (PET) scans increasingly distinguish incidental abnormalities that once went undetected, claims a new study.
Researchers at the University of Oxford (United Kingdom), Stanford University School of Medicine (CA, USA), and other institutions conducted an umbrella review of systematic reviews and meta-analyses of observational studies that reported prevalence of incidental abnormalities (incidentalomas) up to August 2017. An incidental imaging finding was defined as an imaging abnormality in a healthy, asymptomatic patient or an imaging abnormality in a symptomatic patient, where the abnormality was not apparently related to the patient’s symptoms.
The prevalence of incidentalomas varied substantially between imaging tests; it was less than 5% for chest computed tomography (CT) for incidental pulmonary embolism in patients with and without cancer and for whole body PET or PET/CT, also for patients with and without cancer; in these situations, incidentalomas were often found in blood vessels. Conversely, incidentalomas occurred in more than a third of images in cardiac MRI, chest CT, and CT colonoscopy. Intermediate rates occurred with MRI of the spine (22%) and brain (22%).
The rate of malignancy in incidentalomas varied substantially between organs; prevalence of malignancy was less than one hundredth of one percent in the brain, and less than 5% in incidentalomas of the parotid and adrenal gland. Extra-colonic, prostatic, and colonic incidentalomas were malignant 10-20% of the time, whereas renal, thyroid, and ovarian incidentalomas were malignant 25% of the time. Breast incidentalomas had the highest percentage of malignancy (42%), followed by 28% of incidentalomas in the ovaries and 11% in the prostate. The study was published on June 18, 2018, in The BMJ.
“Computed tomography of the chest, computed tomography colonoscopy, and cardiac MRI imaging scans have the highest frequencies of detecting incidentalomas,” concluded lead author Jack O’Sullivan, MSc, of Oxford University, and colleagues. “This umbrella review will help clinicians and patients weigh up the pros and cons of requesting imaging scans, and will assist with management decisions after an incidentaloma diagnosis. Our results can underpin the creation of guidelines to assist clinicians and patients through these decisions.”
Related Links:
University of Oxford
Stanford University School of Medicine
Researchers at the University of Oxford (United Kingdom), Stanford University School of Medicine (CA, USA), and other institutions conducted an umbrella review of systematic reviews and meta-analyses of observational studies that reported prevalence of incidental abnormalities (incidentalomas) up to August 2017. An incidental imaging finding was defined as an imaging abnormality in a healthy, asymptomatic patient or an imaging abnormality in a symptomatic patient, where the abnormality was not apparently related to the patient’s symptoms.
The prevalence of incidentalomas varied substantially between imaging tests; it was less than 5% for chest computed tomography (CT) for incidental pulmonary embolism in patients with and without cancer and for whole body PET or PET/CT, also for patients with and without cancer; in these situations, incidentalomas were often found in blood vessels. Conversely, incidentalomas occurred in more than a third of images in cardiac MRI, chest CT, and CT colonoscopy. Intermediate rates occurred with MRI of the spine (22%) and brain (22%).
The rate of malignancy in incidentalomas varied substantially between organs; prevalence of malignancy was less than one hundredth of one percent in the brain, and less than 5% in incidentalomas of the parotid and adrenal gland. Extra-colonic, prostatic, and colonic incidentalomas were malignant 10-20% of the time, whereas renal, thyroid, and ovarian incidentalomas were malignant 25% of the time. Breast incidentalomas had the highest percentage of malignancy (42%), followed by 28% of incidentalomas in the ovaries and 11% in the prostate. The study was published on June 18, 2018, in The BMJ.
“Computed tomography of the chest, computed tomography colonoscopy, and cardiac MRI imaging scans have the highest frequencies of detecting incidentalomas,” concluded lead author Jack O’Sullivan, MSc, of Oxford University, and colleagues. “This umbrella review will help clinicians and patients weigh up the pros and cons of requesting imaging scans, and will assist with management decisions after an incidentaloma diagnosis. Our results can underpin the creation of guidelines to assist clinicians and patients through these decisions.”
Related Links:
University of Oxford
Stanford University School of Medicine
Latest General/Advanced Imaging News
- PET Scans Reveal Hidden Inflammation in Multiple Sclerosis Patients
- Artificial Intelligence Evaluates Cardiovascular Risk from CT Scans
- New AI Method Captures Uncertainty in Medical Images
- CT Coronary Angiography Reduces Need for Invasive Tests to Diagnose Coronary Artery Disease
- Novel Blood Test Could Reduce Need for PET Imaging of Patients with Alzheimer’s
- CT-Based Deep Learning Algorithm Accurately Differentiates Benign From Malignant Vertebral Fractures
- Minimally Invasive Procedure Could Help Patients Avoid Thyroid Surgery
- Self-Driving Mobile C-Arm Reduces Imaging Time during Surgery
- AR Application Turns Medical Scans Into Holograms for Assistance in Surgical Planning
- Imaging Technology Provides Ground-Breaking New Approach for Diagnosing and Treating Bowel Cancer
- CT Coronary Calcium Scoring Predicts Heart Attacks and Strokes
- AI Model Detects 90% of Lymphatic Cancer Cases from PET and CT Images
- Breakthrough Technology Revolutionizes Breast Imaging
- State-Of-The-Art System Enhances Accuracy of Image-Guided Diagnostic and Interventional Procedures
- Catheter-Based Device with New Cardiovascular Imaging Approach Offers Unprecedented View of Dangerous Plaques
- AI Model Draws Maps to Accurately Identify Tumors and Diseases in Medical Images