Abstract
Objectives
To compare the image quality of breath-hold magnetic resonance cholangiopancreatography (BH-MRCP) and respiratory-gating MRCP (RG-MRCP), and to explore breathing curve–based factors and patient-related data affecting image quality.
Methods
A total of 126 participants who underwent RG-MRCP and BH-MRCP on a 3-T magnetic resonance (MR) scanner were enrolled from May to December 2021. The images were evaluated by three radiologists on a 5-point scale. Respiratory parameters were extracted from the breathing curves. The Wilcoxon test was used to compare the image quality between the two MRCPs. Logistic regression analyzes were performed to identify age, sex, abdominal pain, and breathing predictor variables of better image quality.
Results
BH-MRCP performed better in visualizing intrahepatic bile ducts and overall image quality than RG-MRCP (p < 0.01). Factors predicting relatively good image quality included lower standard deviation of the respiratory amplitude (SDamp)-minimum-peak (odds ratio = 0.16, p < 0.01) for RG-MRCP and lower SDamp (OR = 0.69, p < 0.01) for BH-MRCP.
Conclusions
BH-MRCP had significantly better overall image quality than RG-MRCP. Respiratory conditions exerted a significant impact on MRCP image quality, and parameters derived from the breathing curve could help predict the image quality of both sequences.
Key Points
• Both breath-hold (BH) and respiratory-gating (RG) MRCP demonstrate satisfying image quality.
• BH-GRASE-MRCP is significantly better than RG-MRCP at the group level, but not for every individual.
• Respiratory conditions exert a significant impact on the image quality, and the breathing curve can help predict the image quality.
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Abbreviations
- 3D:
-
Three-dimensional
- AVG:
-
Average value
- AVGamp :
-
Average value of the respiratory amplitude in the breathing curve of BH-MRCP
- AVGbreath-time :
-
Average value of the time interval between each pair of trigger points in the breathing curve of RG-MRCP
- BH-MRCP:
-
Breath-hold MRCP
- BMI:
-
Body mass index
- BSSFP:
-
Balanced steady-state free precession
- CE:
-
Conformite Europeenne
- CI:
-
Confidence interval
- FSE:
-
Fast spin-echo
- GRASE:
-
Gradient and spin-echo
- MIP:
-
Maximum intensity projection
- MRCP:
-
Magnetic resonance cholangiopancreatography
- OR:
-
Odds ratio
- RG:
-
Respiratory-gating
- RG-MRCP:
-
Respiratory-gating MRCP
- SD:
-
Standard deviation
- SDamp :
-
Standard deviation of the respiratory amplitude in the breathing curve of BH-MRCP
- SDamp-maximum-peak:
-
Standard deviation of the respiratory amplitude at the maximum peak between each pair of trigger points in the breathing curve of RG-MRCP
- SDamp-minimum-peak:
-
Standard deviation of the respiratory amplitude at the minimum peak between each pair of trigger points in the breathing curve of RG-MRCP
- SDamp-trigger-point:
-
Standard deviation of the respiratory amplitude at the trigger points in the breathing curve of RG-MRCP
- SDbreath-time :
-
Standard deviation of the time interval between each pair of trigger points in the breathing curve of RG-MRCP
- SPSS:
-
Statistical Package for the Social Sciences
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Acknowledgements
We acknowledge Yanqun Teng for her work on MRI technique support and Difei Lu and Hefei Wang for their kind help during the manuscript preparation.
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The scientific guarantor of this publication is Jianxing Qiu.
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Two authors (Ke Xue and Yongming Dai) are employees of United Imaging Healthcare. Otherwise, the authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
Statistics and biometry
Statistical analyzes were performed by one of the authors (Ke Wang) under the guidance of statistical office at Peking University First Hospital.
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Written informed consent was obtained from all patients in this study.
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• prospective
• cross-sectional study
• performed at one institution
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Wang, K., Li, X., Liu, J. et al. Predicting the image quality of respiratory-gated and breath-hold 3D MRCP from the breathing curve: a prospective study. Eur Radiol 33, 4333–4343 (2023). https://doi.org/10.1007/s00330-022-09293-2
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DOI: https://doi.org/10.1007/s00330-022-09293-2