Low-Dose CT Scans Help Diagnose Appendicitis
|
By MedImaging International staff writers Posted on 25 Nov 2021 |

Image: Professor Salminen performing laparoscopic appendectomy (Photo courtesy of TYKS)
A new study suggests that low-dose CT can be used to identify appendicitis and differentiate between cases requiring surgery and those that can be treated with antibiotics alone.
Researchers at the University of Turku (UTU; Finland) and Turku University Hospital (TYKS; Finland) conducted a prospective study of 856 patients with suspected appendicitis to examine the accuracy of contrast-enhanced low dose (454 patients) and standard-dose (402 patients) CT, as compared with protocols guiding imaging based on body mass index (BMI); this enabled direct CT imaging comparison only in patients with a BMI below 30 kg/m2. The on-call CT diagnosis was compared with the final clinical diagnosis.
“The results showed that low-dose CT identified patients with and without appendicitis at an accuracy rate of 98% and 98.5%, respectively. In patients with a BMI under 30, respective values were 98.2 % and 98.6%, respectively. The corresponding accuracy for differentiating between uncomplicated and complicated acute appendicitis was 90.3% and 87.6% in all patients, and 89.8% and 88.4% among those with a BMI below 30, respectively. The study was published on November 11, 2021, in the British Journal of Surgery.
“Contrast-enhanced CT is the reference standard used in diagnostic imaging for acute appendicitis in adults; the radiation dose has been of concern. This study aimed to assess whether a lower radiation dose would affect the diagnostic accuracy of CT,” explained lead author Professor Paulina Salminen, MD, of the TYKS department of surgery, and colleagues. “Low- and standard-dose CT were accurate both in identifying appendicitis and in differentiating between uncomplicated and complicated acute appendicitis.”
Laparoscopic appendectomy is safe and effective in obese patients, and may be the preferred approach since it may convey some advantages over the open approach in access to the appendix, visualization, and decrease in wound complications. In the morbidly obese, however, longer trocars and instruments may be needed.
Related Links:
University of Turku
Turku University Hospital
Researchers at the University of Turku (UTU; Finland) and Turku University Hospital (TYKS; Finland) conducted a prospective study of 856 patients with suspected appendicitis to examine the accuracy of contrast-enhanced low dose (454 patients) and standard-dose (402 patients) CT, as compared with protocols guiding imaging based on body mass index (BMI); this enabled direct CT imaging comparison only in patients with a BMI below 30 kg/m2. The on-call CT diagnosis was compared with the final clinical diagnosis.
“The results showed that low-dose CT identified patients with and without appendicitis at an accuracy rate of 98% and 98.5%, respectively. In patients with a BMI under 30, respective values were 98.2 % and 98.6%, respectively. The corresponding accuracy for differentiating between uncomplicated and complicated acute appendicitis was 90.3% and 87.6% in all patients, and 89.8% and 88.4% among those with a BMI below 30, respectively. The study was published on November 11, 2021, in the British Journal of Surgery.
“Contrast-enhanced CT is the reference standard used in diagnostic imaging for acute appendicitis in adults; the radiation dose has been of concern. This study aimed to assess whether a lower radiation dose would affect the diagnostic accuracy of CT,” explained lead author Professor Paulina Salminen, MD, of the TYKS department of surgery, and colleagues. “Low- and standard-dose CT were accurate both in identifying appendicitis and in differentiating between uncomplicated and complicated acute appendicitis.”
Laparoscopic appendectomy is safe and effective in obese patients, and may be the preferred approach since it may convey some advantages over the open approach in access to the appendix, visualization, and decrease in wound complications. In the morbidly obese, however, longer trocars and instruments may be needed.
Related Links:
University of Turku
Turku University Hospital
Latest Radiography News
- Routine Mammograms Could Predict Future Cardiovascular Disease in Women
- AI Detects Early Signs of Aging from Chest X-Rays
- X-Ray Breakthrough Captures Three Image-Contrast Types in Single Shot
- AI Generates Future Knee X-Rays to Predict Osteoarthritis Progression Risk
- AI Algorithm Uses Mammograms to Accurately Predict Cardiovascular Risk in Women
- AI Hybrid Strategy Improves Mammogram Interpretation
- AI Technology Predicts Personalized Five-Year Risk of Developing Breast Cancer
- RSNA AI Challenge Models Can Independently Interpret Mammograms
- New Technique Combines X-Ray Imaging and Radar for Safer Cancer Diagnosis
- New AI Tool Helps Doctors Read Chest X‑Rays Better
- Wearable X-Ray Imaging Detecting Fabric to Provide On-The-Go Diagnostic Scanning
- AI Helps Radiologists Spot More Lesions in Mammograms
- AI Detects Fatty Liver Disease from Chest X-Rays
- AI Detects Hidden Heart Disease in Existing CT Chest Scans
- Ultra-Lightweight AI Model Runs Without GPU to Break Barriers in Lung Cancer Diagnosis
- AI Radiology Tool Identifies Life-Threatening Conditions in Milliseconds
Channels
MRI
view channel
MRI Scans Reveal Signature Patterns of Brain Activity to Predict Recovery from TBI
Recovery after traumatic brain injury (TBI) varies widely, with some patients regaining full function while others are left with lasting disabilities. Prognosis is especially difficult to assess in patients... Read more
Novel Imaging Approach to Improve Treatment for Spinal Cord Injuries
Vascular dysfunction in the spinal cord contributes to multiple neurological conditions, including traumatic injuries and degenerative cervical myelopathy, where reduced blood flow can lead to progressive... Read more
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
Wearable Ultrasound Imaging System to Enable Real-Time Disease Monitoring
Chronic conditions such as hypertension and heart failure require close monitoring, yet today’s ultrasound imaging is largely confined to hospitals and short, episodic scans. This reactive model limits... Read more
Ultrasound Technique Visualizes Deep Blood Vessels in 3D Without Contrast Agents
Producing clear 3D images of deep blood vessels has long been difficult without relying on contrast agents, CT scans, or MRI. Standard ultrasound typically provides only 2D cross-sections, limiting clinicians’... Read moreNuclear Medicine
view channel
PET Imaging of Inflammation Predicts Recovery and Guides Therapy After Heart Attack
Acute myocardial infarction can trigger lasting heart damage, yet clinicians still lack reliable tools to identify which patients will regain function and which may develop heart failure.... Read more
Radiotheranostic Approach Detects, Kills and Reprograms Aggressive Cancers
Aggressive cancers such as osteosarcoma and glioblastoma often resist standard therapies, thrive in hostile tumor environments, and recur despite surgery, radiation, or chemotherapy. These tumors also... Read more
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 moreGeneral/Advanced Imaging
view channel
AI-Based Tool Predicts Future Cardiovascular Events in Angina Patients
Stable coronary artery disease is a common cause of chest pain, yet accurately identifying patients at the highest risk of future heart attacks or death remains difficult. Standard coronary CT scans show... Read more
AI-Based Tool Accelerates Detection of Kidney Cancer
Diagnosing kidney cancer depends on computed tomography scans, often using contrast agents to reveal abnormalities in kidney structure. Tumors are not always searched for deliberately, as many scans are... 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







 Guided Devices.jpg)