Objective: The clinical usefulness of characterizing reperfused myocardium by perfusion/thickening assessment using electrocardiographic gated single photon emission computed tomography (SPECT) has not been investigated. We evaluated whether single-injection gated SPECT with 99mTc tetrofosmin early after primary percutaneous coronary intervention (PCI) can predict left ventricular (LV) functional recovery.
Methods: Gated SPECT was performed 3 days after primary PCI in 45 patients with acute myocardial infarction and revascularized segments were classified into perfusion/thickening mismatched segments, matched normal and matched abnormal segments. Gated SPECT was repeated 3 months later to evaluate the changes in LV ejection fraction (deltaLVEF).
Results: Among 332 revascularized segments, there were 83 mismatched segments, 163 matched abnormal segments and 86 matched normal segments. In all the patients, LVEF increased significantly from 3 days to 3 months after primary PCI (52+/-13 to 57+/-14%, P<0.0001). Patients were divided into two groups according to deltaLVEF: 24 patients with LV functional recovery (deltaLVEF > or = 5%) and 21 patients without LV functional recovery. The number of mismatched segments in patients with LV functional recovery was significantly greater than that in patients without (2.7+/-1.7 vs. 0.8+/-1.4, P<0.0003) despite no differences in the number of matched abnormal and matched normal segments. There was a significant correlation between deltaLVEF and the number of mismatched segments (r=0.56, P<0.0001) and LVEF at 3 months after primary PCI was related to the number of matched abnormal segments (r=-0.78, P<0.0001).
Conclusion: Single-injection gated SPECT early after primary PCI can predict LV functional recovery.
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http://dx.doi.org/10.1097/00006231-200506000-00005 | DOI Listing |
Mol Pharm
January 2025
Department of Geriatrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
Acute myocardial infarction (MI) remains a leading cause of mortality worldwide, with inflammatory and reparative phases playing critical roles in disease progression. Currently, there is a pressing need for imaging techniques to monitor immune cell infiltration and inflammation activity during these phases. We developed a novel probe, Tc-HYNIC-mAb, utilizing a monoclonal antibody that targets the voltage-gated potassium channel 1.
View Article and Find Full Text PDFNucl Med Commun
January 2025
Division of Cardiology, Onishi Hospital, Fujioka, Japan.
Objective: Patients with chronic kidney disease (CKD) have an increased risk of adverse cardio-cerebrovascular events. The purpose of this study is to evaluate the prognostic predictors over 5 years in patients with CKD including haemodialysis.
Methods: In this multicenter, prospective cohort study performed with the Gunma-CKD SPECT Study protocol, 311 patients with CKD [estimated glomerular filtration rate (eGFR) < 60 min/ml/1.
J Interv Card Electrophysiol
January 2025
Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, 6-1 Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.
Background: Non-response to cardiac resynchronization therapy (CRT) is an important issue in the treatment of heart failure with reduced ejection fraction (HFrEF) and non-left bundle branch block (LBBB). Electrocardiogram-gated myocardial perfusion single-photon emission computed tomography imaging (G-MPI SPECT) is typically used to assess left ventricular (LV) dyssynchrony. This study aimed to determine whether G-MPI parameters are associated with non-responsiveness to CRT.
View Article and Find Full Text PDFEur Heart J Imaging Methods Pract
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Department of Nuclear Medicine, CHU de Caen Normandie, Normandie Univ, UNICAEN UR 4650 PSIR, Avenue Cote de Nacre, 14000 Caen, France.
J Educ Health Promot
October 2024
Adani Institute of Infrastructure Engineering, Ahmedabad, Gujarat, India.
Parkinson's disease (PD) is a neurodegenerative brain disorder that causes symptoms such as tremors, sleeplessness, behavioral problems, sensory abnormalities, and impaired mobility, according to the World Health Organization (WHO). Artificial intelligence, machine learning (ML), and deep learning (DL) have been used in recent studies (2015-2023) to improve PD diagnosis by categorizing patients and healthy controls based on similar clinical presentations. This study investigates several datasets, modalities, and data preprocessing techniques from the collected data.
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