Pelvic X-Ray May Not Be Required for Children with Blunt Torso Trauma
By MedImaging International staff writers Posted on 17 Aug 2014 |
Pelvic X-rays routinely ordered for children who have suffered blunt force trauma do not effectively detect all instances of pelvic fractures or dislocations and are typically unwarranted for patients for whom abdominal/pelvic computed tomography (CT) scanning is otherwise planned. A recent study raises misgivings on a protocol that has been recommended by the Advanced Trauma Life Support Program (ATLS), considered the gold standard for trauma patients.
“Abdominal/pelvic CT is a superior diagnostic test compared to plain anteroposterior pelvic X-rays for diagnosing children with pelvic fractures or dislocations,” said lead study author Maria Kwok, MD, MPH, from Columbia University Medical Center (New York, NY, USA). “Because of concerns about lifetime exposure to radiation in children, appropriate use of radiography is important. We just could not find enough accuracy or utility to justify the pelvic X-ray for most of these children.”
Plain pelvic radiographs had a sensitivity of only 78% for identifying patients with pelvic fractures or dislocations. Of the patients not accurately identified as having pelvic fractures or dislocations, 98% were correctly detected by abdominal/pelvic CT scans. Standard pelvic X-rays are helpful only for hemodynamically unstable patients and for hemodynamically stable patients who the physician believes may have dislocations or pelvic fractures but who are not otherwise undergoing abdominal/pelvic CT scanning.
The highest risk for dislocations or pelvis fractures included bicyclists or pedestrians struck by moving vehicles and injuries involving motor vehicle collisions. Low-level falls or bicycle accidents were seldom diagnosed with pelvic fractures or dislocations. None of the 281 patients in the study who fell down stairs were diagnosed with pelvic fractures or dislocations.
“CT scanning should not be used as a primary screening tool if no clinical evidence of pelvic fracture or dislocation exists,” said Dr. Kwok. “A physical examination and clinical judgment are still the first line in determining which patients need advanced imaging and which can safely skip it.”
The study’s findings were published online July 29, 2014, in the journal Annals of Emergency Medicine.
Related Links:
Columbia University Medical Center
“Abdominal/pelvic CT is a superior diagnostic test compared to plain anteroposterior pelvic X-rays for diagnosing children with pelvic fractures or dislocations,” said lead study author Maria Kwok, MD, MPH, from Columbia University Medical Center (New York, NY, USA). “Because of concerns about lifetime exposure to radiation in children, appropriate use of radiography is important. We just could not find enough accuracy or utility to justify the pelvic X-ray for most of these children.”
Plain pelvic radiographs had a sensitivity of only 78% for identifying patients with pelvic fractures or dislocations. Of the patients not accurately identified as having pelvic fractures or dislocations, 98% were correctly detected by abdominal/pelvic CT scans. Standard pelvic X-rays are helpful only for hemodynamically unstable patients and for hemodynamically stable patients who the physician believes may have dislocations or pelvic fractures but who are not otherwise undergoing abdominal/pelvic CT scanning.
The highest risk for dislocations or pelvis fractures included bicyclists or pedestrians struck by moving vehicles and injuries involving motor vehicle collisions. Low-level falls or bicycle accidents were seldom diagnosed with pelvic fractures or dislocations. None of the 281 patients in the study who fell down stairs were diagnosed with pelvic fractures or dislocations.
“CT scanning should not be used as a primary screening tool if no clinical evidence of pelvic fracture or dislocation exists,” said Dr. Kwok. “A physical examination and clinical judgment are still the first line in determining which patients need advanced imaging and which can safely skip it.”
The study’s findings were published online July 29, 2014, in the journal Annals of Emergency Medicine.
Related Links:
Columbia University Medical Center
Latest Radiography News
- World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
- AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
- Higher Chest X-Ray Usage Catches Lung Cancer Earlier and Improves Survival
- AI-Powered Mammograms Predict Cardiovascular Risk
- Generative AI Model Significantly Reduces Chest X-Ray Reading Time
- AI-Powered Mammography Screening Boosts Cancer Detection in Single-Reader Settings
- Photon Counting Detectors Promise Fast Color X-Ray Images
- AI Can Flag Mammograms for Supplemental MRI
- 3D CT Imaging from Single X-Ray Projection Reduces Radiation Exposure
- AI Method Accurately Predicts Breast Cancer Risk by Analyzing Multiple Mammograms
- Printable Organic X-Ray Sensors Could Transform Treatment for Cancer Patients
- Highly Sensitive, Foldable Detector to Make X-Rays Safer
- Novel Breast Cancer Screening Technology Could Offer Superior Alternative to Mammogram
- Artificial Intelligence Accurately Predicts Breast Cancer Years Before Diagnosis
- AI-Powered Chest X-Ray Detects Pulmonary Nodules Three Years Before Lung Cancer Symptoms
- AI Model Identifies Vertebral Compression Fractures in Chest Radiographs
Channels
MRI
view channel
AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
Multiple sclerosis (MS) is a condition in which the immune system attacks the brain and spinal cord, leading to impairments in movement, sensation, and cognition. Magnetic Resonance Imaging (MRI) markers... Read more
Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
Approximately 360,000 individuals in the UK suffer from focal epilepsy, a condition in which seizures spread from one part of the brain. Around a third of these patients experience persistent seizures... Read more
AI-Powered MRI Technology Improves Parkinson’s Diagnoses
Current research shows that the accuracy of diagnosing Parkinson’s disease typically ranges from 55% to 78% within the first five years of assessment. This is partly due to the similarities shared by Parkinson’s... Read more
Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
Artificial intelligence (AI) technologies are transforming the way medical images are analyzed, offering unprecedented capabilities in quantitatively extracting features that go beyond traditional visual... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
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 moreNuclear Medicine
view channel
Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors
Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more
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 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