Back to Search
Start Over
[ 68 Ga]Ga-NODAGA-E[(cRGDyK)] 2 and [ 64 Cu]Cu-DOTATATE PET Predict Improvement in Ischemic Cardiomyopathy.
- Source :
-
Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 Jan 11; Vol. 13 (2). Date of Electronic Publication: 2023 Jan 11. - Publication Year :
- 2023
-
Abstract
- An increasing number of patients are living with chronic ischemic cardiomyopathy (ICM) and/or heart failure. Treatment options and prognostic tools are lacking for many of these patients. Our aim was to investigate the prognostic value of imaging angiogenesis and macrophage activation via positron emission tomography (PET) in terms of functional improvement after cell therapy. Myocardial infarction was induced in rats. Animals were scanned with [ <superscript>18</superscript> F]FDG PET and echocardiography after four weeks and randomized to allogeneic adipose tissue-derived stromal cells (ASCs, n = 18) or saline ( n = 9). Angiogenesis and macrophage activation were assessed before and after treatment by [ <superscript>68</superscript> Ga]Ga-RGD and [ <superscript>64</superscript> Cu]Cu-DOTATATE. There was no overall effect of the treatment. Rats that improved left ventricular ejection fraction (LVEF) had higher uptake of both [ <superscript>68</superscript> Ga]Ga-RGD and [ <superscript>64</superscript> Cu]Cu-DOTATATE at follow-up ( p = 0.006 and p = 0.008, respectively). The uptake of the two tracers correlated with each other (r = 0.683, p = 0.003 pre-treatment and r = 0.666, p = 0.004 post-treatment). SUVmax at follow-up could predict improvement in LVEF ( p = 0.016 for [ <superscript>68</superscript> Ga]Ga-RGD and p = 0.045 for [ <superscript>64</superscript> Cu]Cu-DOTATATE). High uptake of [ <superscript>68</superscript> Ga]Ga-RGD and [ <superscript>64</superscript> Cu]Cu-DOTATATE PET after injection of ASCs or saline preceded improvement in LVEF. The use of these tracers could improve the monitoring of heart failure patients in treatment.
Details
- Language :
- English
- ISSN :
- 2075-4418
- Volume :
- 13
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Diagnostics (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 36673078
- Full Text :
- https://doi.org/10.3390/diagnostics13020268