In a recent video interview, Syam Reddy, MD discussed the merits of computed tomography (CT) colonography, a non-invasive alternative to conventional colonoscopy, which may help reduce gaps in screening for colorectal cancer.
Preventive screenings decreased significantly during the COVID-19 pandemic and colorectal cancer screening was no exception. While the number of people getting colorectal cancer screening will likely rise with increasing numbers of people receiving full vaccination for COVID-19, there are still significant screening gaps, according to Syam Reddy, MD, the Clinical Chairman at UChicago Medicine Ingalls Memorial Hospital.
In a new video interview, Dr. Reddy said the use of computed tomography (CT) colonography can provide an array of benefits in the realm of colorectal cancer screening.
Dr. Reddy said CT colonography provides better detection of cancerous and pre-cancerous lesions than other non-invasive testing measures such as stool testing, He noted CT colonography has comparable detection rates to conventional colonoscopy but offers patients the practical benefits of no sedation and milder preparation prior to the procedure.
Researchers have also demonstrated that preoperative use of CT colonography changed surgical management in over 20 percent of patients with occlusive colorectal cancer, which Dr. Reddy pointed out during a recent lecture on CT colonography at the Society of Abdominal Radiology (SARS) meeting.
Dr. Reddy also noted that CT colonography enables clinicians to perform simultaneous screening for osteoporosis and non-alcoholic fatty liver disease (NAFLD).
For more insights from Dr. Reddy on CT colonography, watch the video below:
Photon-Counting Computed Tomography: Eleven Takeaways from a New Literature Review
May 27th 2025In a review of 155 studies, researchers examined the capabilities of photon-counting computed tomography (PCCT) for enhanced accuracy, tissue characterization, artifact reduction and reduced radiation dosing across thoracic, abdominal, and cardiothoracic imaging applications.
Can AI Predict Future Lung Cancer Risk from a Single CT Scan?
May 19th 2025In never-smokers, deep learning assessment of single baseline low-dose computed tomography (CT) scans demonstrated a 79 percent AUC for predicting lung cancer up to six years later, according to new research presented today at the American Thoracic Society (ATS) 2025 International Conference.
Can Emerging AI Software Offer Detection of CAD on CCTA on Par with Radiologists?
May 14th 2025In a study involving over 1,000 patients who had coronary computed tomography angiography (CCTA) exams, AI software demonstrated a 90 percent AUC for assessments of cases > CAD-RADS 3 and 4A and had a 98 percent NPV for obstructive coronary artery disease.