Department of Endocrinology, The Second Hospital of Jilin University, Changchun, Jinlin 130000, China.
Department of Oncology and Hematology, The Second Hospital of Jilin University, Changchun 130000, China.
Contrast Media Mol Imaging. 2022 Aug 8;2022:4071081. doi: 10.1155/2022/4071081. eCollection 2022.
In order to investigate the value of preoperative X-ray computed tomography (CT) in predicting the pathological grade of pancreatic neuroendocrine tumors. This paper retrospectively analyzed the CT image examination of pancreatic neuroendocrine tumors, the image characteristics of G-NEC detected by CT image, and the detection of GST by spiral CT. In order to clearly diagnose and evaluate the size and scope of the focus, whether there is adjacent tissue invasion, metastasis, and treatment effect, CT, MR, PET-CT, nuclide specific imaging, and other imaging methods are widely used in the medical treatment of pNEN patients. These imaging methods have the advantages of noninvasive, rapid imaging, objective image medium, and strong repeatability. If the pathological grade of pNEN patients can be obtained by imaging examination before operation, it will be of great benefit to the formulation of treatment strategies and the prediction of clinical outcomes. Combining CT image performance with imaging omics characteristics to establish a prediction model that can develop a better auxiliary decision-making tool for clinical practice. Different pathological grades prompt clinicians to provide personalized and accurate medical treatment for patients, and reduce excessive medical treatment or wrong judgment caused by unclear preoperative diagnostic information.
为了探讨术前 X 射线计算机断层扫描（CT）预测胰腺神经内分泌肿瘤病理分级的价值。本文回顾性分析了胰腺神经内分泌肿瘤的 CT 图像检查，CT 图像检测到的 G-NEC 的图像特征，以及螺旋 CT 检测 GST。为了明确诊断和评估病灶的大小和范围、是否存在相邻组织侵犯、转移和治疗效果，CT、MR、PET-CT、核素特异性成像等影像学方法广泛应用于 pNEN 患者的医疗。这些成像方法具有无创、快速成像、客观成像介质和强重复性的优点。如果术前通过影像学检查获得 pNEN 患者的病理分级，将有利于治疗策略的制定和临床结果的预测。结合 CT 图像性能和影像学组学特征建立预测模型，为临床实践开发更好的辅助决策工具。不同的病理分级提示临床医生为患者提供个性化和准确的治疗，并减少因术前诊断信息不明确而导致的过度治疗或错误判断。
