■最近的创新使放射学更先进的患者和患者服务。在放射学实践的巨大负担下,人工智能(AI)有助于以更少的扫描时间获得计算机断层扫描(CT)图像,适当的病人位置,低辐射剂量(RD),改善图像质量(IQ)。因此,这项研究的目的是评估和比较定位精度,RD,基于AI的自动和手动定位技术对CT肾输尿管和膀胱(CTKUB)的IQ。
■这项前瞻性研究包括每组143名接受计算机断层扫描(CT)KUB检查的患者。第1组患者进行手动定位(MP),第2组患者接受基于AI的自动定位(AP)CTKUB检查。两组的扫描方案保持恒定。偏离中心的距离,RD,并对各组的智商进行定量和定性评价和比较。
■AP组(9.66±6.361mm)的患者偏离中心距离明显小于MP组(15.12±9.55mm)。与MP组相比,AP组的RD明显降低。定量图像噪声(IN)较低,AP组的信噪比(SNR)和对比噪声比(CNR)高于MP组(p<0.05)。定性IQ参数,如IN,清晰度,总体智商也表现出显著差异(p<0.05),AP组得分高于MP组。
■基于AI的AP显示出更高的定位精度,并且偏离中心的距离更少(44%),与MP相比,CTKUB成像的RD降低了12%,IQ提高。
UNASSIGNED: Recent innovations are making radiology more advanced for patient and patient services. Under the immense burden of radiology practice, Artificial Intelligence (AI) assists in obtaining Computed Tomography (CT) images with less scan time, proper patient placement, low radiation dose (RD), and improved image quality (IQ). Hence, the aim of this study was to evaluate and compare the positioning accuracy, RD, and IQ of AI-based automatic and manual positioning techniques for CT kidney ureters and bladder (CT KUB).
UNASSIGNED: This prospective study included 143 patients in each group who were referred for computed tomography (CT) KUB examination. Group 1 patients underwent manual positioning (MP), and group 2 patients underwent AI-based automatic positioning (AP) for CT KUB examination. The scanning protocol was kept constant for both the groups. The off-center distance, RD, and quantitative and qualitative IQ of each group were evaluated and compared.
UNASSIGNED: The AP group (9.66±6.361 mm) had significantly less patient off-center distance than the MP group (15.12±9.55 mm). There was a significant reduction in RD in the AP group compared with that in the MP group. The quantitative image noise (IN) was lower, with a higher signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) in the AP group than in the MP group (p<0.05). Qualitative IQ parameters such as IN, sharpness, and overall IQ also showed significant differences (p< 0.05), with higher scores in the AP group than in the MP group.
UNASSIGNED: The AI-based AP showed higher positioning accuracy with less off-center distance (44%), which resulted in 12% reduction in RD and improved IQ for CT KUB imaging compared with MP.