Share:
Share this content in WeChat
X
Clinical Articles
Application value of cardiac cine with compressed sensing real-time imaging and retrospective fully automated non-rigid motion correction for assessment of right ventricular function and strain in patients with pulmonary arterial hypertension
LI Yanyu  LIN Lu  WANG Jian  CAO Likun  LIU Yajing  PANG Jianing  AN Jing  JIN Zhengyu  WANG Yining 

Cite this article as: Li YY, Lin L, Wang J, et al. Application value of cardiac cine with compressed sensing real-time imaging and retrospective fully automated non-rigid motion correction for assessment of right ventricular function and strain in patients with pulmonary arterial hypertension[J]. Chin J Magn Reson Imaging, 2022, 13(10): 114-120. DOI:10.12015/issn.1674-8034.2022.10.017.


[Abstract] Objective To evaluate the feasibility and accuracy of free-breathing cardiac cine MR imaging (cine-MoCo) combined with compressed sensing, highly accelerated real-time acquisition, and retrospective fully automated non-rigid motion correction for right ventricular (RV) function and strain analysis in patients with pulmonary arterial hypertension (PAH).Materials and Methods Suspected or confirmed PAH patients clinically scheduled for CMR assessment were enrolled in Department of Radiology of Peking Union Medical College Hospital of Chinese Academy of Medical Sciences from January 2020 to April 2021. All enrolled patients received the standard cine imaging with 2D segmented acquisition and retrospective ECG gating (cine-SegBH) and cine-MoCo. Image quality (IQ) was evaluated using a qualitative 5-point Likert scale and the European CMR registry standardized criteria, and edge sharpness was measured. RV function and strain were measured and compared.Results Forty patients were enrolled in this study. The mean scan times of cine-SegBH and cine-MoCo were (143±42) s and (115±24) s, respectively (P<0.05). The general subjective IQ scores of cine-MoCo and cine-SegBH were (4.4±0.7) and (4.1±0.8), respectively (P<0.05), and the standardized criteria IQ scores of cine-MoCo and cine-SegBH based on the European CMR registry standardized criteria were (0.125±0.404) and (0.425±0.844), respectively (P<0.05). There was no significant difference by edge sharpness measurement between cine-SegBH and cine-MoCo [(0.064±0.133) vs. (0.065±0.139), P>0.05]. There were no significant differences in the assessment of RV functional parameters between cine-SegBH and cine-MoCo, including RV ejection fraction (RVEF), RV end-diastolic volume (RVEDV), RV end-systolic volume (RVESV), RV stroke volumes (RVSV), and RV mass (RVM), additionally, all RV functional parameters showed strong correlations (r=0.966-0.992) between the two cine techniques. RV myocardial strain including global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS) derived from cine-MoCo were significantly lower than those by cine-SegBH (all P<0.05). GCS and GRS showed strong correlations (r=0.895 for GCS; r=0.908 for GRS), but GLS showed a weak correlation (r=0.564) between the two cine techniques. Subgroup analysis showed that GLS, GCS, and GRS measured with cine-MoCo were significantly underestimated in patients with mild PAH (WHO function class Ⅰ-Ⅱ, Group 1) but no significant differences in patients with severe PAH (WHO function class Ⅲ-Ⅳ, Group 2) when compared with those measured with cine-SegBH. All parameters for both techniques showed good intra-observer and inter-observer agreement.Conclusions Compared with cine-SegBH, cine-MoCo can shorten image acquisition time, obtain equivalent or even better IQ, and achieve precise quantitative analytic results for RV function in patients with PAH, and obtain accurate strain evaluation in patients with severe PAH.
[Keywords] pulmonary arterial hypertension;myocardial strain;cardiac functional analysis;motion correction;magnetic resonance imaging;cardiac magnetic resonance cine imaging;compressed sensing

LI Yanyu1   LIN Lu1   WANG Jian1   CAO Likun1   LIU Yajing1   PANG Jianing2   AN Jing3   JIN Zhengyu1   WANG Yining1*  

1 Department of Radiology, Peking Union Medical College Hospital of Chinese Academy of Medical Sciences, Beijing 100730, China

2 Siemens Medical Solutions USA Inc., Chicago, IL USA

3 Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen 518057, China

Wang YN, E-mail: wangyining@pumch.cn

Conflicts of interest   None.

ACKNOWLEDGMENTS Major International (Regional) Joint Research Project of National Natural Science Foundation of China (No. 82020108018); Natural Science Foundation of Beijing (No. Z210013); CAMS Innovation Fund for Medical Sciences (CIFMS) (No. 2020-I2M-C & T-B-034).
Received  2022-07-08
Accepted  2022-10-08
DOI: 10.12015/issn.1674-8034.2022.10.017
Cite this article as: Li YY, Lin L, Wang J, et al. Application value of cardiac cine with compressed sensing real-time imaging and retrospective fully automated non-rigid motion correction for assessment of right ventricular function and strain in patients with pulmonary arterial hypertension[J]. Chin J Magn Reson Imaging, 2022, 13(10): 114-120. DOI:10.12015/issn.1674-8034.2022.10.017.

[1]
Vonk-Noordegraaf A, Haddad F, Chin KM, et al. Right heart adaptation to pulmonary arterial hypertension: physiology and pathobiology[J]. J Am Coll Cardiol, 2013, 62(25Suppl): 22-33. DOI: 10.1016/j.jacc.2013.10.027.
[2]
Sree Raman K, Shah R, Stokes M, et al. Right ventricular myocardial deoxygenation in patients with pulmonary artery hypertension[J/OL]. J Cardiovasc Magn Reson, 2021, 23(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/33678188/. DOI: 10.1186/s12968-020-00694-0.
[3]
Galiè N, Humbert M, Vachiery JL, et al. 2015 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: The Joint Task Force for the Diagnosis and Treatment of Pulmonary Hypertension of the European Society of Cardiology (ESC) and the European Respiratory Society (ERS): Endorsed by: Association for European Paediatric and Congenital Cardiology (AEPC), International Society for Heart and Lung Transplantation (ISHLT)[J]. Eur Heart J, 2016, 37(1): 67-119. DOI: 10.1093/eurheartj/ehv317.
[4]
Petersen SE, Aung N, Sanghvi MM, et al. Reference ranges for cardiac structure and function using cardiovascular magnetic resonance (CMR) in Caucasians from the UK Biobank population cohort[J/OL]. J Cardiovasc Magn Reson, 2017, 19(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/28178995/. DOI: 10.1186/s12968-017-0327-9.
[5]
Nguyen KL, Hu P, Finn JP. Cardiac Magnetic Resonance Quantification of Structure-Function Relationships in Heart Failure[J]. Heart Fail Clin, 2021, 17(1): 9-24. DOI: 10.1016/j.hfc.2020.08.001.
[6]
Xu J, Yang W, Zhao S, et al. State-of-the-art myocardial strain by CMR feature tracking: clinical applications and future perspectives[J]. Eur Radiol, 2022, 32(8): 5424-5435. DOI: 10.1007/s00330-022-08629-2.
[7]
Ogawa R, Kido T, Nakamura M, et al. Diagnostic capability of feature-tracking cardiovascular magnetic resonance to detect infarcted segments: a comparison with tagged magnetic resonance and wall thickening analysis[J]. Clin Radiol, 2017, 72(10): 828-834. DOI: 10.1016/j.crad.2017.05.010.
[8]
Zhao P, Huang L, Ran L, et al. CMR T(1) mapping and strain analysis in idiopathic inflammatory myopathy: evaluation in patients with negative late gadolinium enhancement and preserved ejection fraction[J]. Eur Radiol, 2021, 31(3): 1206-1215. DOI: 10.1007/s00330-020-07211-y.
[9]
Fischer K, Obrist SJ, Erne SA, et al. Feature Tracking Myocardial Strain Incrementally Improves Prognostication in Myocarditis Beyond Traditional CMR Imaging Features[J]. JACC Cardiovasc Imaging, 2020, 13(9): 1891-1901. DOI: 10.1016/j.jcmg.2020.04.025.
[10]
Kramer CM, Barkhausen J, Bucciarelli-Ducci C, et al. Standardized cardiovascular magnetic resonance imaging (CMR) protocols: 2020 update[J/OL]. J Cardiovasc Magn Reson, 2020, 22(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/32089132/. DOI: 10.1186/s12968-020-00607-1.
[11]
Longère B, Allard PE, Gkizas CV, et al. Compressed Sensing Real-Time Cine Reduces CMR Arrhythmia-Related Artifacts[J/OL]. J Clin Med, 2021, 10(15) [2022-05-28]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8348071/pdf/jcm-10-03274.pdf. DOI: 10.3390/jcm10153274.
[12]
Sudarski S, Henzler T, Haubenreisser H, et al. Free-breathing Sparse Sampling Cine MR Imaging with Iterative Reconstruction for the Assessment of Left Ventricular Function and Mass at 3.0 T[J]. Radiology, 2017, 282(1): 74-83. DOI: 10.1148/radiol.2016151002.
[13]
Vincenti G, Monney P, Chaptinel J, et al. Compressed sensing single-breath-hold CMR for fast quantification of LV function, volumes, and mass[J]. JACC Cardiovasc Imaging, 2014, 7(9): 882-892. DOI: 10.1016/j.jcmg.2014.04.016.
[14]
Kido T, Kido T, Nakamura M, et al. Compressed sensing real-time cine cardiovascular magnetic resonance: accurate assessment of left ventricular function in a single-breath-hold[J/OL]. J Cardiovasc Magn Reson, 2016, 18(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/27553656/. DOI: 10.1186/s12968-016-0271-0.
[15]
Longère B, Gkizas CV, Coisne A, et al. 60Retrogated Compressed Sensing-S 2D Cine of the Heart: Sharper Borders and Accurate Quantification[J/OL]. J Clin Med, 2021, 10(11) [2022-06-07]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199407/pdf/jcm-10-02417.pdf. DOI: 10.3390/jcm10112417.
[16]
Chen Y, Qian W, Liu W, et al. Feasibility of single-shot compressed sensing cine imaging for analysis of left ventricular function and strain in cardiac MRI[J/OL]. Clin Radiol, 2021, 76(6) [2022-04-17]. https://sci-hub.se/10.1016/j.crad.2020.12.024. DOI: 10.1016/j.crad.2020.12.024.
[17]
Kido T, Hirai K, Ogawa R, et al. Comparison between conventional and compressed sensing cine cardiovascular magnetic resonance for feature tracking global circumferential strain assessment[J/OL]. J Cardiovasc Magn Reson, 2021, 23(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/33618722/. DOI: 10.1186/s12968-021-00708-5.
[18]
Klinke V, Muzzarelli S, Lauriers N, et al. Quality assessment of cardiovascular magnetic resonance in the setting of the European CMR registry: description and validation of standardized criteria[J/OL]. J Cardiovasc Magn Reson, 2013, 15(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/23787094/. DOI: 10.1186/1532-429x-15-55.
[19]
Wang J, Li X, Lin L, et al. Diagnostic efficacy of 2-shot compressed sensing cine sequence cardiovascular magnetic resonance imaging for left ventricular function[J]. Cardiovasc Diagn Ther, 2020, 10(3): 431-441. DOI: 10.21037/cdt-20-135.
[20]
Schulz-Menger J, Bluemke DA, Bremerich J, et al. Standardized image interpretation and post-processing in cardiovascular magnetic resonance-2020 update : Society for Cardiovascular Magnetic Resonance (SCMR): Board of Trustees Task Force on Standardized Post-Processing[J/OL]. J Cardiovasc Magn Reson, 2020, 22(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/32160925/. DOI: 10.1186/s12968-020-00610-6.
[21]
Lewis RA, Johns CS, Cogliano M, et al. Identification of Cardiac Magnetic Resonance Imaging Thresholds for Risk Stratification in Pulmonary Arterial Hypertension[J]. Am J Respir Crit Care Med, 2020, 201(4): 458-468. DOI: 10.1164/rccm.201909-1771OC.
[22]
Wang J, Lin Q, Pan Y, et al. The accuracy of compressed sensing cardiovascular magnetic resonance imaging in heart failure classifications[J]. Int J Cardiovasc Imaging, 2020, 36(6): 1157-1166. DOI: 10.1007/s10554-020-01810-y.
[23]
Allen BD, Carr ML, Markl M, et al. Accelerated real-time cardiac MRI using iterative sparse SENSE reconstruction: comparing performance in patients with sinus rhythm and atrial fibrillation[J]. Eur Radiol, 2018, 28(7): 3088-3096. DOI: 10.1007/s00330-017-5283-0.
[24]
Vermersch M, Longère B, Coisne A, et al. Compressed sensing real-time cine imaging for assessment of ventricular function, volumes and mass in clinical practice[J]. Eur Radiol, 2020, 30(1): 609-619. DOI: 10.1007/s00330-019-06341-2.
[25]
Kocaoglu M, Pednekar AS, Wang H, et al. Breath-hold and free-breathing quantitative assessment of biventricular volume and function using compressed SENSE: a clinical validation in children and young adults[J/OL]. J Cardiovasc Magn Reson, 2020, 22(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/32713347/. DOI: 10.1186/s12968-020-00642-y.
[26]
Longère B, Pagniez J, Coisne A, et al. Right Ventricular Volume and Function Assessment in Congenital Heart Disease Using CMR Compressed-Sensing Real-Time Cine Imaging[J/OL]. J Clin Med, 2021, 10(9) [2022-04-23]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8125206/pdf/jcm-10-01930.pdf. DOI: 3390/jcm10091930.
[27]
Cao J, Li S, Cui L, et al. Biventricular Myocardial Strain Analysis in Patients with Pulmonary Arterial Hypertension Using Cardiac Magnetic Resonance Tissue-Tracking Technology[J/OL]. J Clin Med, 2022, 11(8) [2022-05-25]. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9025312/pdf/jcm-11-02230.pdf. DOI: 10.3390/jcm11082230.
[28]
Leng S, Tan RS, Guo J, et al. Cardiovascular magnetic resonance-assessed fast global longitudinal strain parameters add diagnostic and prognostic insights in right ventricular volume and pressure loading disease conditions[J/OL]. J Cardiovasc Magn Reson, 2021, 23(1) [2022-07-07]. https://pubmed.ncbi.nlm.nih.gov/33789701/. DOI: 10.1186/s12968-021-00724-5.
[29]
Langton JE, Lam HI, Cowan BR, et al. Estimation of myocardial strain from non-rigid registration and highly accelerated cine CMR[J]. Int J Cardiovasc Imaging, 2017, 33(1): 101-107. DOI: 10.1007/s10554-016-0978-x.

PREV Diagnostic value of machine learning based on multi-parameters of MRI radiomics to predict cervical lymph node status of papillary thyroid carcinoma
NEXT The value of monoexponentia, fractional order calculus models and 18F-FDG PET imaging in evaluating the proliferation status of lung adenocarcinoma
  



Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn