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.

中文翻译：

---

基于迭代重建算法的计算机断层扫描图像在胃癌诊断中的应用

目标。本工作旨在研究基于迭代重建算法的计算机断层扫描（CT）成像在胃癌（GC）诊断中的应用。方法。回顾性分析40例住院胃镜活检病理确诊的胃癌患者。平扫和双相增强扫描后获得上腹部扫描图像。然后，通过迭代重建算法对图像进行重建，并对算法下的CT值进行统计分析。结果. 结果表明，螺旋CT和基于迭代重建算法的CT的检出率均为100%。经过迭代重建算法后，图像质量、图像信息和图像均方误差（MSE）得到显着改善。肿瘤浸润程度（T）分期准确率为82.6%，淋巴结转移（N）分期准确率为73.2%，肿瘤淋巴结转移（TNM）分期准确率为79.1%。基于迭代重建算法的CT准确率为T分期90%，N分期83%，TNM分期85.5%。结论. 迭代重建算法在GC诊断中可以有效提高CT图像的空间分辨率，准确率高。可为临床诊断胃癌提供可靠、客观的影像资料，值得在临床上进一步推广应用。