加速三维磁共振胰胆管造影的深度学习重建。

IF 9.7 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Radiologia Medica Pub Date : 2025-05-01 Epub Date: 2025-03-18 DOI:10.1007/s11547-025-01987-z
Jan M Brendel, Reza Dehdab, Judith Herrmann, Stephan Ursprung, Sebastian Werner, Haidara Almansour, Elisabeth Weiland, Dominik Nickel, Konstantin Nikolaou, Saif Afat, Sebastian Gassenmaier
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引用次数: 0

摘要

目的:本研究旨在比较传统的三维(3-D)磁共振胆管造影(MRCP)序列与深度学习(DL)加速的MRCP序列(以下简称MRCPDL)在采集时间和图像质量方面的差异。材料和方法:我们对2023年11月至2024年4月在单一三级中心连续转诊的MRCP患者进行了一项前瞻性研究。每个参与者使用常规序列(三倍加速)和MRCPDL(八倍加速)进行1.5T 3-D t2加权涡轮自旋回声MRCP。三名盲法读者独立评估图像质量,包括背景信号抑制、胆汁和胰管可见性、伪影水平和诊断置信度。获取时间采用配对t检验进行比较。采用重复测量方差分析评估图像质量参数。使用Fleiss' κ分析解读器一致性。结果:在419例连续患者中,评估了30名参与者(平均年龄63±15岁;16名男性,14名女性)。常规MRCP的平均采集时间为10:30±03:04 min, MRCPDL的平均采集时间为3:57±01:13 min, PDL将采集时间缩短了62.4%。传统MRCP的伪影水平为3.17±0.77,MRCPDL为3.56±0.66 (P = 0.041)。背景信号抑制、胆管可见性、胰管可见性和诊断置信度无显著差异(P < 0.05)。解读者的一致性基本达到近乎完美(κ: 0.64-87)。结论:深度学习加速的3d MRCP采集时间缩短了62%,最小化了伪影,并保留了胆汁和胰管的可见性,支持其在常规临床实践中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep learning reconstruction for accelerated 3-D magnetic resonance cholangiopancreatography.

Purpose: This study aimed to compare a conventional three-dimensional (3-D) magnetic resonance cholangiopancreatography (MRCP) sequence with a deep learning (DL)-accelerated MRCP sequence (hereafter, MRCPDL) regarding acquisition time and image quality.

Materials and methods: We conducted a prospective study of consecutive patients referred for MRCP between November 2023 and April 2024 at a single tertiary center. Each participant underwent 1.5T 3-D T2-weighted turbo spin echo MRCP using both a conventional sequence (threefold acceleration) and MRCPDL (eightfold acceleration). Three blinded readers independently evaluated image quality, including background signal suppression, bile and pancreatic duct visibility, artifact level, and diagnostic confidence on an ordinal four-point scale. Acquisition times were compared using a paired t-test. Image quality parameters were assessed with repeated measures ANOVA. Interreader agreement was analyzed using Fleiss' κ.

Results: Out of 419 consecutive patients, 30 participants were evaluated (mean age, 63 ± 15 years; 16 men, 14 women). The mean acquisition time was 10:30 ± 03:04 min for conventional MRCP and 3:57 ± 01:13 min for MRCPDL, P < 0.001. MRCPDL reduced acquisition time by 62.4%. Artifact levels were rated at 3.17 ± 0.77 for conventional MRCP and 3.56 ± 0.66 for MRCPDL (P = 0.041). Background signal suppression, bile duct visibility, pancreatic duct visibility, and diagnostic confidence did not differ significantly (P > 0.05). Interreader agreement was substantial to almost perfect (κ: 0.64-87).

Conclusions: Deep learning-accelerated 3-D MRCP reduced acquisition time by 62%, minimized artifacts, and preserved bile and pancreatic duct visibility, supporting its adoption in routine clinical practice.

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来源期刊
Radiologia Medica
Radiologia Medica 医学-核医学
CiteScore
14.10
自引率
7.90%
发文量
133
审稿时长
4-8 weeks
期刊介绍: Felice Perussia founded La radiologia medica in 1914. It is a peer-reviewed journal and serves as the official journal of the Italian Society of Medical and Interventional Radiology (SIRM). The primary purpose of the journal is to disseminate information related to Radiology, especially advancements in diagnostic imaging and related disciplines. La radiologia medica welcomes original research on both fundamental and clinical aspects of modern radiology, with a particular focus on diagnostic and interventional imaging techniques. It also covers topics such as radiotherapy, nuclear medicine, radiobiology, health physics, and artificial intelligence in the context of clinical implications. The journal includes various types of contributions such as original articles, review articles, editorials, short reports, and letters to the editor. With an esteemed Editorial Board and a selection of insightful reports, the journal is an indispensable resource for radiologists and professionals in related fields. Ultimately, La radiologia medica aims to serve as a platform for international collaboration and knowledge sharing within the radiological community.
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