关键词: Computed tomography Deep learning reconstruction Filtered back projection Pancreatic cyst

来  源:   DOI:10.1007/s12194-024-00834-6

Abstract:
This study aimed to compare the image quality and detection performance of pancreatic cystic lesions between computed tomography (CT) images reconstructed by deep learning reconstruction (DLR) and filtered back projection (FBP). This retrospective study included 54 patients (mean age: 67.7 ± 13.1) who underwent contrast-enhanced CT from May 2023 to August 2023. Among eligible patients, 30 and 24 were positive and negative for pancreatic cystic lesions, respectively. DLR and FBP were used to reconstruct portal venous phase images. Objective image quality analyses calculated quantitative image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) using regions of interest on the abdominal aorta, pancreatic lesion, and pancreatic parenchyma. Three blinded radiologists performed subjective image quality assessment and lesion detection tests. Lesion depiction, normal structure illustration, subjective image noise, and overall image quality were utilized as subjective image quality indicators. DLR significantly reduced quantitative image noise compared with FBP (p < 0.001). SNR and CNR were significantly improved in DLR compared with FBP (p < 0.001). Three radiologists rated significantly higher scores for DLR in all subjective image quality indicators (p ≤ 0.029). Performance of DLR and FBP were comparable in lesion detection, with no statistically significant differences in the area under the receiver operating characteristic curve, sensitivity, specificity and accuracy. DLR reduced image noise and improved image quality with a clearer depiction of pancreatic structures. These improvements may have a positive effect on evaluating pancreatic cystic lesions, which can contribute to appropriate management of these lesions.
摘要:
本研究旨在比较通过深度学习重建(DLR)和滤波反投影(FBP)重建的计算机断层扫描(CT)图像之间的胰腺囊性病变的图像质量和检测性能。这项回顾性研究包括2023年5月至2023年8月接受对比增强CT检查的54例患者(平均年龄:67.7±13.1)。在符合条件的患者中,30和24为胰腺囊性病变阳性和阴性,分别。DLR和FBP用于重建门静脉期图像。客观图像质量分析计算定量图像噪声,信噪比(SNR),和对比噪声比(CNR)使用腹主动脉上的感兴趣区域,胰腺病变,和胰腺实质.三名失明的放射科医生进行了主观图像质量评估和病变检测测试。病变描绘,正常结构图,主观图像噪声,整体图像质量作为主观图像质量指标。与FBP相比,DLR显着降低了定量图像噪声(p<0.001)。与FBP相比,DLR的SNR和CNR显着改善(p<0.001)。在所有主观图像质量指标中,三名放射科医生对DLR的评分均显着较高(p≤0.029)。DLR和FBP在病变检测方面的性能相当,接收器工作特性曲线下的面积没有统计学上的显着差异,灵敏度,特异性和准确性。DLR降低了图像噪声,提高了图像质量,更清晰地描绘了胰腺结构。这些改善可能对评估胰腺囊性病变有积极作用,这有助于这些病变的适当管理。
公众号