Training trumps experience when it comes to interpreting CT colonography, said Dr. Abe Dachman, director of the Fellowship Programs at the University of Chicago Medical Center.
Training trumps experience when it comes to interpreting CT colonography, said Dr. Abe Dachman, director of the Fellowship Programs at the University of Chicago Medical Center.
In a Wednesday presentation at the International Symposium on Multidetector Row CT, Dachman drew evidence from his own and others’ research to show that proper training is critical to achieving high sensitivity and specificity in the detection of polyps on CTC exams. One of the challenges is in the characterization of lesions.
“It’s not just finding the polyp,” he said. “About half the errors are errors of detection. The rest are errors of characterization. The good news is that this means, with more training, you will be able to do a good job.”
The two critical components of such training, he said, are lectures and hands-on training. The lectures should explain how to integrate CTC into clinical practice and teach the results of clinical trials examining the value of this procedure. Patient preparation strategies, exam performance and aspects of making interpretations such as the principles and pitfalls of software must be included, as well as an understanding of extracolonic findings and ongoing developments in the field.
The hands-on work should include training in the software and a full reading of about 60 cases with feedback on cases in which errors were made. Dachman called this an “unblinding to the truth.”
“They have to be able to learn from their mistakes,” he said.
Some pick up the nuances of interpretation quickly. Some take more time. And some, Dachman said, never get it. Success often comes down to context – whether the prospective practitioner has good reading skills and can conceptualize in three dimensions.
And just getting the interpretations right is not enough. Interpretations must be done quickly. Here formal training again plays a role. Dachman cited research indicating that interpreters who consistently demonstrate high sensitivity and specificity, but take longer than average to complete their readings, can get faster after receiving additional training.
But even fast, accurate reading of CTCs does not ensure success in this field. Users of CTC must win the acceptance of the technique by those around them.
“You’ll need to do some PR,” he said. “You’ll have to handle questions from referring physicians, patients and staff about where it fits in clinical practice.”
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
Key Chest CT Parameters for Body Composition May be Prognostic for Patients with Resectable NSCLC
February 11th 2025A high intermuscular adipose index has a 49 percent increased likelihood of being associated with lower overall survival in patients with resectable non-small cell lung cancer (NSCLC), 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.
Comparative AI Study Shows Merits of RapidAI LVO Software in Stroke Detection
February 6th 2025The Rapid LVO AI software detected 33 percent more cases of large vessel occlusion (LVO) on computed tomography angiography (CTA) than Viz LVO AI software, according to a new comparative study presented at the International Stroke Conference (ISC).
New CT Angiography Study Shows Impact of COVID-19 on Coronary Inflammation and Plaque
February 5th 2025Prior COVID-19 infection was associated with a 28 percent higher progression of total percent atheroma volume (PAV) annually and over a 5 percent higher incidence of high-risk plaque in patients with coronary artery lesions, according to CCTA findings from a new study.