Contrast-Enhanced Magnetic Resonance Imaging Based T1 Mapping and Extracellular Volume Fractions Are Associated with Peripheral Artery Disease

Overview

Journal J Cardiovasc Dev Dis

Specialty Cardiology & Vascular Diseases

Date 2024 Jun 26

PMID 38921681

Authors

Asem I Fitian

Michael C Shieh

Olga A Gimnich

Tatiana Belousova

Addison A Taylor

Christie M Ballantyne

Jean Bismuth

Dipan J Shah

Gerd Brunner

Affiliations

Soon will be listed here.

Abstract

Background: Extracellular volume fraction (ECV), measured with contrast-enhanced magnetic resonance imaging (CE-MRI), has been utilized to study myocardial fibrosis, but its role in peripheral artery disease (PAD) remains unknown. We hypothesized that T1 mapping and ECV differ between PAD patients and matched controls.

Methods And Results: A total of 37 individuals (18 PAD patients and 19 matched controls) underwent 3.0T CE-MRI. Skeletal calf muscle T1 mapping was performed before and after gadolinium contrast with a motion-corrected modified look-locker inversion recovery (MOLLI) pulse sequence. T1 values were calculated with a three-parameter Levenberg-Marquardt curve fitting algorithm. ECV and T1 maps were quantified in five calf muscle compartments (anterior [AM], lateral [LM], and deep posterior [DM] muscle groups; soleus [SM] and gastrocnemius [GM] muscles). Averaged peak blood pool T1 values were obtained from the posterior and anterior tibialis and peroneal arteries. T1 values and ECV are heterogeneous across calf muscle compartments. Native peak T1 values of the AM, LM, and DM were significantly higher in PAD patients compared to controls (all < 0.028). ECVs of the AM and SM were significantly higher in PAD patients compared to controls (AM: 26.4% (21.2, 31.6) vs. 17.3% (10.2, 25.1), = 0.046; SM: 22.7% (19.5, 27.8) vs. 13.8% (10.2, 19.1), = 0.020).

Conclusions: Native peak T1 values across all five calf muscle compartments, and ECV fractions of the anterior muscle group and the soleus muscle were significantly elevated in PAD patients compared with matched controls. Non-invasive T1 mapping and ECV quantification may be of interest for the study of PAD.

Citing Articles

Contrast-Enhanced Magnetic Resonance Imaging Based T1 Mapping and Extracellular Volume Fractions Are Associated with Peripheral Artery Disease.

Fitian A, Shieh M, Gimnich O, Belousova T, Taylor A, Ballantyne C J Cardiovasc Dev Dis. 2024; 11(6).

PMID: 38921681 PMC: 11203653. DOI: 10.3390/jcdd11060181.

References

Messroghli D, Rudolph A, Abdel-Aty H, Wassmuth R, Kuhne T, Dietz R . An open-source software tool for the generation of relaxation time maps in magnetic resonance imaging. BMC Med Imaging. 2010; 10:16. PMC: 2919441. DOI: 10.1186/1471-2342-10-16. View

Martelli E, Enea I, Zamboni M, Federici M, Bracale U, Sangiorgi G . Focus on the Most Common Paucisymptomatic Vasculopathic Population, from Diagnosis to Secondary Prevention of Complications. Diagnostics (Basel). 2023; 13(14). PMC: 10377859. DOI: 10.3390/diagnostics13142356. View

Haimerl M, Verloh N, Fellner C, Zeman F, Teufel A, Fichtner-Feigl S . MRI-based estimation of liver function: Gd-EOB-DTPA-enhanced T1 relaxometry of 3T vs. the MELD score. Sci Rep. 2014; 4:5621. PMC: 4085628. DOI: 10.1038/srep05621. View

Brunner G, Bismuth J, Nambi V, Ballantyne C, Taylor A, Lumsden A . Calf muscle perfusion as measured with magnetic resonance imaging to assess peripheral arterial disease. Med Biol Eng Comput. 2016; 54(11):1667-1681. PMC: 5152942. DOI: 10.1007/s11517-016-1457-1. View

Yang E, Ghosn M, Khan M, Gramze N, Brunner G, Nabi F . Myocardial Extracellular Volume Fraction Adds Prognostic Information Beyond Myocardial Replacement Fibrosis. Circ Cardiovasc Imaging. 2019; 12(12):e009535. PMC: 7529265. DOI: 10.1161/CIRCIMAGING.119.009535. View

Lin Y, Fu T, Lin G, Ng S, Yeh C, Ng S . Using T1 mapping indices to evaluate muscle function and predict conservative treatment outcomes in diabetic patients with peripheral arterial disease. Eur Radiol. 2023; 33(7):4927-4937. DOI: 10.1007/s00330-023-09392-8. View

Xiong G, Kola D, Heo R, Elmore K, Cho I, Min J . Myocardial perfusion analysis in cardiac computed tomography angiographic images at rest. Med Image Anal. 2015; 24(1):77-89. PMC: 4536577. DOI: 10.1016/j.media.2015.05.010. View

Lin Y, Chuang W, Wei F, Yeh C, Tinhofer I, Al Deek N . Peripheral arterial disease: the role of extracellular volume measurements in lower limb muscles with MRI. Eur Radiol. 2020; 30(7):3943-3950. DOI: 10.1007/s00330-020-06730-y. View

Ross E, Shah N, Dalman R, Nead K, Cooke J, Leeper N . The use of machine learning for the identification of peripheral artery disease and future mortality risk. J Vasc Surg. 2016; 64(5):1515-1522.e3. PMC: 5079774. DOI: 10.1016/j.jvs.2016.04.026. View

10.

Sanchez-Martinez S, Duchateau N, Erdei T, Kunszt G, Aakhus S, Degiovanni A . Machine Learning Analysis of Left Ventricular Function to Characterize Heart Failure With Preserved Ejection Fraction. Circ Cardiovasc Imaging. 2018; 11(4):e007138. DOI: 10.1161/CIRCIMAGING.117.007138. View

11.

Fitian A, Shieh M, Gimnich O, Belousova T, Taylor A, Ballantyne C . Contrast-Enhanced Magnetic Resonance Imaging Based T1 Mapping and Extracellular Volume Fractions Are Associated with Peripheral Artery Disease. J Cardiovasc Dev Dis. 2024; 11(6). PMC: 11203653. DOI: 10.3390/jcdd11060181. View

12.

Carod-Artal F, Ferreira Coral L, Trizotto D, Moreira C . Self- and proxy-report agreement on the Stroke Impact Scale. Stroke. 2009; 40(10):3308-14. DOI: 10.1161/STROKEAHA.109.558031. View

13.

Etherington J, Innes G, Christenson J, BERKOWITZ J, Chamberlain R, Berringer R . Development, implementation and reliability assessment of an emergency physician performance evaluation tool. CJEM. 2007; 2(4):237-45. DOI: 10.1017/s1481803500007260. View

14.

Than M, Pickering J, Sandoval Y, Shah A, Tsanas A, Apple F . Machine Learning to Predict the Likelihood of Acute Myocardial Infarction. Circulation. 2019; 140(11):899-909. PMC: 6749969. DOI: 10.1161/CIRCULATIONAHA.119.041980. View

15.

Mueller T, Hinterreiter F, Luft C, Poelz W, Haltmayer M, Dieplinger B . Mortality rates and mortality predictors in patients with symptomatic peripheral artery disease stratified according to age and diabetes. J Vasc Surg. 2014; 59(5):1291-9. DOI: 10.1016/j.jvs.2013.11.063. View

16.

Mozaffarian D, Benjamin E, Go A, Arnett D, Blaha M, Cushman M . Heart disease and stroke statistics--2015 update: a report from the American Heart Association. Circulation. 2014; 131(4):e29-322. DOI: 10.1161/CIR.0000000000000152. View

17.

Shrout P, Fleiss J . Intraclass correlations: uses in assessing rater reliability. Psychol Bull. 1979; 86(2):420-8. DOI: 10.1037//0033-2909.86.2.420. View

18.

Chen H, Erley J, Muellerleile K, Saering D, Jahnke C, Cavus E . Contrast-enhanced cardiac MRI is superior to non-contrast mapping to predict left ventricular remodeling at 6 months after acute myocardial infarction. Eur Radiol. 2023; 34(3):1863-1874. PMC: 10873445. DOI: 10.1007/s00330-023-10100-9. View

19.

Puntmann V, Peker E, Chandrashekhar Y, Nagel E . T1 Mapping in Characterizing Myocardial Disease: A Comprehensive Review. Circ Res. 2016; 119(2):277-99. DOI: 10.1161/CIRCRESAHA.116.307974. View

20.

Messroghli D, Plein S, Higgins D, Walters K, Jones T, Ridgway J . Human myocardium: single-breath-hold MR T1 mapping with high spatial resolution--reproducibility study. Radiology. 2006; 238(3):1004-12. DOI: 10.1148/radiol.2382041903. View