Computed tomographic imaging of the colon demonstrates findings predictive for recurrent diverticulitis.
CT allows clinicians to predict recurrent diverticulitis and stratify patients according to the need for elective partial colectomy, according to a study published in Radiology.
Researchers from the University of Michigan Health System in Ann Arbor performed a retrospective study to identify CT findings predictive of recurrence of colonic diverticulitis.
The researchers reviewed the CT studies of 440 subjects diagnosed with acute colonic diverticulitis, looking at the involved segments, maximum wall thickness in the inflamed segment, severity of diverticulitis, presence of complications (abscess, fistula, stricture, or perforation), and severity of inflammation.
The results showed colonic diverticulitis in 70% of cases involved the rectosigmoid segment and 30% the descending colon segment; 22% of the patients (98) had complicated diverticulitis.
Significant predictors of diverticulitis recurrence were determined to be:
• Maximum colonic wall thickness in the inflamed segment (1.07 per every millimeter of increase)
• Presence of complication
• Subjective severity of inflammation
The researchers noted that the difference in maximum wall thickness in the inflamed segment and subjective inflammation severity remained statistically significant.
GE HealthCare Debuts AI-Powered Cardiac CT Device at ACC Conference
April 1st 2025Featuring enhanced low-dose image quality with motion-free images, the Revolution Vibe CT system reportedly facilitates improved diagnostic clarity for patients with conditions ranging from in-stent restenosis to atrial fibrillation.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Can Photon-Counting CT be an Alternative to MRI for Assessing Liver Fat Fraction?
March 21st 2025Photon-counting CT fat fraction evaluation offered a maximum sensitivity of 81 percent for detecting steatosis and had a 91 percent ICC agreement with MRI proton density fat fraction assessment, according to new prospective research.