Sunday, November 27 | 12:05 p.m.-12:15 p.m. | SSA06-09 | Room N226
As imaging for suspected appendicitis continues to evolve, researchers in Ontario, Canada, sent questionnaires to centers across the country to find out how they were handling these patients. Among the findings: Ultrasound is often the first choice for diagnosing younger patients."Presently, the diagnosis is predominantly based on imaging, requiring heavy use of limited imaging resources at the emergency setting, explained Dr. Michael Patlas, professor of radiology at McMaster University in Ontario.
The presentation will discuss the findings in detail. For example, almost three-fourths of respondents used contrast-enhanced CT in all patients with suspected appendicitis -- except younger patients, that is. Most respondents used ultrasound as the initial modality in patients younger than 40 years, and three-fourths use ultrasound first in pregnant patients. Half of centers have ultrasound available 24/7, and MRI isn't always available.
"To the best of our knowledge, we performed the first national study of Canadian academic radiology departments regarding imaging strategies in patients with suspected appendicitis," Patlas told AuntMinnie.com. "Implications for clinical care will include the development of a national imaging algorithm."
















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)



