In recent video interviews, Syam Reddy, MD, Judy Yee, MD and Anand Narayan, MD, discussed various benefits of computed tomography colonography (CTC) for colorectal cancer screening, the underutilization of the CTC procedure and steps moving forward to improve access to this procedure.
Despite a number of practical benefits for patients and having comparable detection rates to conventional colonoscopy for colorectal cancer, computed tomography colonography (CTC) remains significantly underutilized. In fact, a recently published survey of over 13,700 people between the ages of 50 to 75 found that only 1.4 percent of respondents had CTC for colorectal cancer screening.
Various authors have pointed to the lack of Medicare coverage as a key factor in the limited access and use of CTC. Noting the potential impact CTC could have in improving colorectal cancer screening rates in at-risk populations, the American College of Radiology recently wrote a formal request to the Centers for Medicare and Medicaid Services (CMS), urging the organization to reconsider non-coverage of CTC for Medicare and Medicaid beneficiaries.
With this in mind, Syam Reddy, MD, Judy Yee, MD and Anand Narayan, MD, recently spoke with Diagnostic Imaging to discuss the benefits of CTC, limitations of access to the procedure and suggested steps for potentially resolving this issue.
Watch the video below:
What is the Best Use of AI in CT Lung Cancer Screening?
April 18th 2025In comparison to radiologist assessment, the use of AI to pre-screen patients with low-dose CT lung cancer screening provided a 12 percent reduction in mean interpretation time with a slight increase in specificity and a slight decrease in the recall rate, according to new research.
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 CT-Based AI Radiomics Enhance Prediction of Recurrence-Free Survival for Non-Metastatic ccRCC?
April 14th 2025In comparison to a model based on clinicopathological risk factors, a CT radiomics-based machine learning model offered greater than a 10 percent higher AUC for predicting five-year recurrence-free survival in patients with non-metastatic clear cell renal cell carcinoma (ccRCC).
Could Lymph Node Distribution Patterns on CT Improve Staging for Colon Cancer?
April 11th 2025For patients with microsatellite instability-high colon cancer, distribution-based clinical lymph node staging (dCN) with computed tomography (CT) offered nearly double the accuracy rate of clinical lymph node staging in a recent study.