Reducing Contrast Agent Dose in Cardiovascular MR Angiography with Deep Learning.
Reducing Contrast Agent Dose in Cardiovascular MR Angiography with Deep Learning.
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DOI：
10.1002/jmri.27573
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发表时间：
2021-09
影响因子：
4.4
通讯作者：
Muthurangu, Vivek
中科院分区：
文献类型：
--
作者：
Montalt-Tordera, Javier;Quail, Michael;Steeden, Jennifer A.;Muthurangu, Vivek
对比增强磁共振血管造影（MRA）用于评估各种心血管疾病。然而，钆基造影剂（GBCA）存在剂量相关不良反应的风险。开发一种深度学习方法，将GBCA剂量减少80%。回顾和前瞻。分别对1157例回顾性和40例前瞻性先天性心脏病患者进行培训/验证和测试。1.5 T，T1加权三维（3D）梯度回波。使用回顾性合成数据训练神经网络以增强低剂量（LD）3D MRA，并使用前瞻性LD数据进行测试。根据信噪比（SNR）、对比噪声比（CNR）和边缘清晰度的定量测量评估LD（LD-MRA）、增强LD（ELD-MRA）和高剂量（HD-MRA）的图像质量，并按1-5分制对感知清晰度和对比度进行评分。诊断置信度采用1-3级量表进行评估。根据HD‐MRA评估LD‐和ELD‐MRA的灵敏度/特异性以及血管直径测量（主动脉和肺动脉）的一致性。采用单向重复测量方差分析和事后t检验，比较LD-、ELD-和HD-MRA之间的SNR、CNR、边缘锐度和血管直径。使用Friedman检验和事后Wilcoxon符号秩检验比较感知质量和诊断置信度。使用McNemar检验比较灵敏度/特异性。使用Bland-Altman分析评估血管直径的一致性。LD-MRA的SNR、CNR、边缘清晰度、感知清晰度和感知对比度低于ELD-MRA和HD-MRA（P < 0.05）。ELD和HD-MRA之间的SNR、CNR、边缘清晰度和感知对比度相当，但感知清晰度明显较低。LD-MRA的灵敏度/特异性为0.824/0.921，ELD-MRA为0.882/0.960。LD、ELD和HD-MRA的诊断置信度分别为2.72、2.85和2.92（P LD-ELD，P LD-HD < 0.05）。血管直径测量结果相当，偏倚为0.238 mm（LD‐MRA）和0.278 mm（ELD‐MRA）。深度学习可以提高LD心血管MRA的对比度。2阶段2
Contrast‐enhanced magnetic resonance angiography (MRA) is used to assess various cardiovascular conditions. However, gadolinium‐based contrast agents (GBCAs) carry a risk of dose‐related adverse effects. To develop a deep learning method to reduce GBCA dose by 80%. Retrospective and prospective. A total of 1157 retrospective and 40 prospective congenital heart disease patients for training/validation and testing, respectively. A 1.5 T, T1‐weighted three‐dimensional (3D) gradient echo. A neural network was trained to enhance low‐dose (LD) 3D MRA using retrospective synthetic data and tested with prospective LD data. Image quality for LD (LD‐MRA), enhanced LD (ELD‐MRA), and high‐dose (HD‐MRA) was assessed in terms of signal‐to‐noise ratio (SNR), contrast‐to‐noise ratio (CNR), and a quantitative measure of edge sharpness and scored for perceptual sharpness and contrast on a 1–5 scale. Diagnostic confidence was assessed on a 1–3 scale. LD‐ and ELD‐MRA were assessed against HD‐MRA for sensitivity/specificity and agreement of vessel diameter measurements (aorta and pulmonary arteries). SNR, CNR, edge sharpness, and vessel diameters were compared between LD‐, ELD‐, and HD‐MRA using one‐way repeated measures analysis of variance with post‐hoc t‐tests. Perceptual quality and diagnostic confidence were compared using Friedman's test with post‐hoc Wilcoxon signed‐rank tests. Sensitivity/specificity was compared using McNemar's test. Agreement of vessel diameters was assessed using Bland–Altman analysis. SNR, CNR, edge sharpness, perceptual sharpness, and perceptual contrast were lower (P < 0.05) for LD‐MRA compared to ELD‐MRA and HD‐MRA. SNR, CNR, edge sharpness, and perceptual contrast were comparable between ELD and HD‐MRA, but perceptual sharpness was significantly lower. Sensitivity/specificity was 0.824/0.921 for LD‐MRA and 0.882/0.960 for ELD‐MRA. Diagnostic confidence was 2.72, 2.85, and 2.92 for LD, ELD, and HD‐MRA, respectively (P LD‐ELD, P LD‐HD < 0.05). Vessel diameter measurements were comparable, with biases of 0.238 (LD‐MRA) and 0.278 mm (ELD‐MRA). Deep learning can improve contrast in LD cardiovascular MRA. 2 Stage 2
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影响因子：
4.4
作者：
Lee, Youn-Joo;Laub, Gerhard;Kim, Bum-Soo
通讯作者：
Kim, Bum-Soo
影响因子：
6.4
作者：
Steeden, Jennifer A.;Quail, Michael;Muthurangu, Vivek
通讯作者：
Muthurangu, Vivek
影响因子：
3.6
作者：
Chen, Chen;Bai, Wenjia;Rueckert, Daniel
通讯作者：
Rueckert, Daniel
实时心血管MR具有时空伪影抑制，使用先天性心脏病中的概念深度学习。
影响因子：
3.3
作者：
Hauptmann A;Arridge S;Lucka F;Muthurangu V;Steeden JA
通讯作者：
Steeden JA
DOI：
10.1002/jmri.27331
发表时间：
2021-08
期刊：
Journal of magnetic resonance imaging : JMRI
影响因子：
--
作者：
Chaudhari AS;Sandino CM;Cole EK;Larson DB;Gold GE;Vasanawala SS;Lungren MP;Hargreaves BA;Langlotz CP
通讯作者：
Langlotz CP