Machine learning-based prediction of conversion coefficients for I-123 metaiodobenzylguanidine heart-to-mediastinum ratio
Author:
Publisher
Elsevier BV
Subject
Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s12350-023-03198-3.pdf
Reference36 articles.
1. Myocardial iodine-123 meta-iodobenzylguanidine imaging and cardiac events in heart failure. Results of the prospective ADMIRE-HF (AdreView Myocardial Imaging for Risk Evaluation in Heart Failure) study;Jacobson;J Am Coll Cardiol,2010
2. A pooled analysis of multicenter cohort studies of (123)I-mIBG imaging of sympathetic innervation for assessment of long-term prognosis in heart failure;Nakata;JACC Cardiovasc Imaging,2013
3. For what endpoint does myocardial 123I-MIBG scintigraphy have the greatest prognostic value in patients with chronic heart failure? Results of a pooled individual patient data meta-analysis;Verschure;Eur Heart J Cardiovasc Imaging,2014
4. How do we establish cardiac sympathetic nervous system imaging with 123I-mIBG in clinical practice? Perspectives and lessons from Japan and the US;Travin;Ann Nucl Cardiol,2019
5. Iodine-123 meta-iodobenzylguanidine scintigraphy: a noninvasive method to demonstrate myocardial adrenergic nervous system disintegrity in patients with idiopathic dilated cardiomyopathy;Schofer;J Am Coll Cardiol,1988
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