Abstract
Objective. This work aimed to study the application of iterative reconstruction algorithm-based computed tomography (CT) imaging in the diagnosis of gastric cancer (GC). Methods. 40 cases of GC patients diagnosed by gastroscopy biopsy and pathology in hospital were retrospectively analyzed. Scanning images of the upper abdomen were obtained after plain scanning and double-phase enhanced scanning. Then, the image was reconstructed by the iterative reconstruction algorithm, and the CT value under the algorithm was analyzed statistically. Results. It was revealed that the detection rate of both spiral CT and iterative reconstruction algorithm-based CT was 100%. After the iterative reconstruction algorithm, the image quality, image information, and image mean square error (MSE) were notably improved. The degree of tumor invasion (T) staging accuracy was 82.6%, lymph node metastasis (N) staging accuracy was 73.2%, and tumor node metastasis (TNM) staging accuracy was 79.1%. The accuracy of the iterative reconstruction algorithm-based CT was 90% for T staging, 83% for N staging, and 85.5% for TNM staging. Conclusion. Iterative reconstruction algorithm can effectively improve the spatial resolution of CT images in GC diagnosis, with high accuracy. It can provide reliable and objective imaging data for the diagnosis of GC clinically, which was worthy of further application in clinical practice.
Highlights
gastric cancer (GC) is one of the most common malignancies in the world, ranking the 2nd in the line of death of malignancies
Reconstruction Result of Iterative Algorithm for Stomach computed tomography (CT) Image. e iterative reconstruction algorithm reconstructed the image based on the estimation of the statistical model of the observation data
Some researchers utilized dual-source CT energy to scan the upper abdomen of GC patients under the condition of different tube voltages and employed different reconstruction algorithms to reconstruct the images under the CT dual-energy mode. e results showed that IRS
Summary
GC is one of the most common malignancies in the world, ranking the 2nd in the line of death of malignancies. Japan, South Korea, and China are high incidence areas of GC, and more than half of the global GC patients are from East Asia [1]. Studies suggested that the occurrence and progression of GC is closely related to precancerous lesions [2]. Studies found that the occurrence and phylogeny of GC are a multistage and multistep process, involving the activation of multiple protooncogenes, deletion of tumor suppressor genes, or abnormalities in molecular biology [4]. Despite advances in surgery and multidisciplinary treatment, the prognosis of GC patients is still poor; especially for patients with advanced GC, the median survival time is only 7.5–12 hours. Erefore, there is an urgent need for new therapies to improve the prognosis and survival time of GC patients Despite advances in surgery and multidisciplinary treatment, the prognosis of GC patients is still poor; especially for patients with advanced GC, the median survival time is only 7.5–12 hours. erefore, there is an urgent need for new therapies to improve the prognosis and survival time of GC patients
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
