Wednesday, November 29 | 11:50 a.m.-12:00 p.m. | SSK08-09 | Room E353B
Accurate identification of colorectal carcinomas can improve the surgical outcome of patients. Such was the case when Spanish researchers investigated the clinical usefulness of CT colonography (CTC) for spotting synchronous colorectal cancer.Optical colonoscopy is unable to produce images of the entire colon in about 6% to 26% of cases of colorectal carcinoma, Dr. María José Martinez-Sapiña Llanas told AuntMinnie.com. This is usually due to stenosing carcinoma.
To find the optimal way to visualize the colon under such conditions, Llanas and colleagues from University Hospital Complex of A Coruña examined the CTC scans of 165 patients with occlusive colorectal cancer. Radiologists using CTC accurately detected various types of tumors, including 17 synchronous carcinomas in 11 patients. These reports provided surgeons with additional information and enough time to modify their surgical management and surveillance of approximately 28% of the patients.
"The diagnosis of an asynchronous lesion may modify the extensiveness of the surgical procedure and can be treated at the time of the elective surgery," Llanas said. "The goal of [preoperative CTC] is to achieve better diagnoses and avoid subsequent surgical procedures, providing a better quality of life as well as being cost-effective."


















![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)

