Quynh A Truong1, Wai-Ee Thai2, Bryan Wai2, Kevin Cordaro3, Teresa Cheng3, Jonathan Beaudoin3, Guanglei Xiong4, Jim W Cheung5, Robert Altman6, James K Min7, Jagmeet P Singh3, Conor D Barrett6, Stephan Danik6. 1. Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College and the New York-Presbyterian Hospital, 413 E. 69th Street, Suite 108, New York, NY 10021, USA; Division of Cardiology, Weill Cornell Medical College and the New York-Presbyterian Hospital, New York, NY, USA. Electronic address: qat9001@med.cornell.edu. 2. Cardiac MR PET CT Program, Division of Cardiology, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. 3. Division of Cardiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. 4. Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College and the New York-Presbyterian Hospital, 413 E. 69th Street, Suite 108, New York, NY 10021, USA. 5. Division of Cardiology, Weill Cornell Medical College and the New York-Presbyterian Hospital, New York, NY, USA. 6. Al-Sabah Arrhythmia Institute, Mount Sinai St. Luke's-Roosevelt Hospital Center, New York, NY, USA. 7. Dalio Institute of Cardiovascular Imaging, Weill Cornell Medical College and the New York-Presbyterian Hospital, 413 E. 69th Street, Suite 108, New York, NY 10021, USA; Division of Cardiology, Weill Cornell Medical College and the New York-Presbyterian Hospital, New York, NY, USA.
Abstract
BACKGROUND: Myocardial scar is a substrate for ventricular tachycardia and sudden cardiac death. Late enhancement CT imaging can detect scar, but it remains unclear whether newer late enhancement dual-energy (LE-DECT) acquisition has benefit over standard single-energy late enhancement (LE-CT). OBJECTIVE: We aim to compare late enhancement CT using newer LE-DECT acquisition and single-energy LE-CT acquisitions with pathology and electroanatomic map (EAM) in an experimental chronic myocardial infarction (MI) porcine study. METHODS: In 8 pigs with chronic myocardial infarction (59 ± 5 kg), we performed dual-source CT, EAM, and pathology. For CT imaging, we performed 3 acquisitions at 10 minutes after contrast administration: LE-CT 80 kV, LE-CT 100 kV, and LE-DECT with 2 postprocessing software settings. RESULTS: Of the sequences, LE-CT 100 kV provided the best contrast-to-noise ratio (all P ≤ .03) and correlation to pathology for scar (ρ = 0.88). LE-DECT overestimated scar (both P = .02), whereas LE-CT images did not (both P = .08). On a segment basis (n = 136), all CT sequences had high specificity (87%-93%) and modest sensitivity (50%-67%), with LE-CT 100 kV having the highest specificity of 93% for scar detection compared to pathology and agreement with EAM (κ = 0.69). CONCLUSIONS: Standard single-energy LE-CT, particularly 100 kV, matched better to pathology and EAM than dual-energy LE-DECT for scar detection. Larger human trials as well as more technical studies that optimize varying different energies with newer hardware and software are warranted.
BACKGROUND: Myocardial scar is a substrate for ventricular tachycardia and sudden cardiac death. Late enhancement CT imaging can detect scar, but it remains unclear whether newer late enhancement dual-energy (LE-DECT) acquisition has benefit over standard single-energy late enhancement (LE-CT). OBJECTIVE: We aim to compare late enhancement CT using newer LE-DECT acquisition and single-energy LE-CT acquisitions with pathology and electroanatomic map (EAM) in an experimental chronic myocardial infarction (MI) porcine study. METHODS: In 8 pigs with chronic myocardial infarction (59 ± 5 kg), we performed dual-source CT, EAM, and pathology. For CT imaging, we performed 3 acquisitions at 10 minutes after contrast administration: LE-CT 80 kV, LE-CT 100 kV, and LE-DECT with 2 postprocessing software settings. RESULTS: Of the sequences, LE-CT 100 kV provided the best contrast-to-noise ratio (all P ≤ .03) and correlation to pathology for scar (ρ = 0.88). LE-DECT overestimated scar (both P = .02), whereas LE-CT images did not (both P = .08). On a segment basis (n = 136), all CT sequences had high specificity (87%-93%) and modest sensitivity (50%-67%), with LE-CT 100 kV having the highest specificity of 93% for scar detection compared to pathology and agreement with EAM (κ = 0.69). CONCLUSIONS: Standard single-energy LE-CT, particularly 100 kV, matched better to pathology and EAM than dual-energy LE-DECT for scar detection. Larger human trials as well as more technical studies that optimize varying different energies with newer hardware and software are warranted.
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