深度学习加速3D磁共振胰胆管成像在1.5T和3T的临床评估
SDL MRCP在1.5T和3T的整体图像质量评分≥3分（好、很好、极好）的比例均高于标准NAV或BH序列（p<0.05）。
要点
- SDL MRCP可在11-17秒屏气扫描内获得优于标准NAV或BH的整体图像质量。
- SDL在减少伪影方面表现更好，但图像噪声和锐利度并非全面优越。
- 不同放射科医生对图像质量评分存在差异，需进一步验证。
关键影像表现/征象
- SDL MRCP在1.5T和3T的整体图像质量评分≥3分（好、很好、极好）的比例均高于标准NAV或BH序列（p<0.05）。
- SDL MRCP在减少伪影方面优于标准NAV或BH序列（p<0.05）。
- SDL MRCP并非在所有评估特征类别中均优于标准MRCP技术。
诊断标准与关键数值
- 整体图像质量评分≥3分定义为好、很好或极好。
- 图像质量评分≥3分的比例和伪影减少的病例比例在SDL与标准序列间比较，差异有统计学意义（p<0.05）。
临床应用与阅片要点
- SDL MRCP可在短屏气（11-17秒）下提供与标准NAV或BH相当或更好的整体图像质量，适合不能长时间屏气的患者。
- 阅片时需注意SDL可能并未在所有图像特征（如噪声、锐利度）上均优于标准序列，报告时应结合原始图像综合判断。
- 不同读者间评分存在差异，提示对SDL图像的质量评估需统一标准或培训。
局限性
- 研究未报告样本量计算、中心数及参考标准，可能存在选择偏倚。
- 图像质量评估为主观视觉评分，缺乏客观定量指标。
- 读者间评分变异较大，可能影响结果可重复性。
以上解读依据论文摘要（全文未开放获取或许可不允许翻译转载）。
英文原文（摘要）· 点击展开
OBJECTIVE: Routine clinical 3D magnetic resonance cholangiopancreatography (MRCP) is typically performed either as lower resolution breath-hold (BH) acquisition or higher resolution triggered navigator breathing (NAV) acquisition with a longer acquisition time, potentially limiting clinically applicability. Our aim was to evaluate the clinical feasibility of MRCP obtained using a new deep learning acceleration approach, Sonic DLTM 3D (SDL), as compared to the standard 3D MRCP..
MATERIAL AND METHODS: Sixty-four and 32 patients underwent 1.5 T and 3 T MRCP scans, respectively. The standard 3D MRCP was obtained using a BH and NAV. Two SDL MRCP acquisitions for each magnetic field were performed with BH and scan times of 11-17 s, utilizing the SDL based acquisition and reconstruction technique. Three radiologists visually evaluated all MRCP datasets for 4 different features: overall image quality, image noise, image sharpness and artifacts. Differences were compared using the Wilcoxon matched-pairs signed rank and chi-squared tests.
RESULTS: At both field strengths (1.5 T and 3 T) the proportion of overall image quality scores of 3 or higher (good, very good and excellent) and proportion of cases with reduced artifacts were better (p < 0.05) for both SDL MRCP acquisitions compared to the standard with NAV or BH. However, SDL MRCP was not superior to the standard MRCP technique for all evaluated feature categories and scoring varied between readers.
CONCLUSION: SDL MRCP demonstrated improved image quality consistency and scan time, however, variations between radiologists in quality scores were present, underlying the need for future development and validation.
引用
- Jambor I, Dhami RS, Parameswaran M, et al. Clinical evaluation of deep learning accelerated 3D magnetic resonance cholangiopancreatography at 1.5 T and 3 T. Eur J Radiol. 2026. PMID: 42070421. doi:10.1016/j.ejrad.2026.112906
供执业医师工作参考，不替代临床判断；数值与分级以指南原文为准。