OBJECTIVES: The authors sought to generate a synthetic extracellular volume fraction (ECV) from the relationship between hematocrit and longitudinal relaxation rate of blood. BACKGROUND: ECV quantification by cardiac magnetic resonance (CMR) measures diagnostically and prognostically relevant changes in the extracellular space. Current methodologies require blood hematocrit (Hct) measurement-a complication to easy clinical application. We hypothesized that the relationship between Hct and longitudinal relaxation rate of blood (R1 = 1/T1blood) could be calibrated and used to generate a synthetic ECV without Hct that was valid, user-friendly, and prognostic. METHODS: Proof-of-concept: 427 subjects with a wide range of health and disease were divided into derivation (n = 214) and validation (n = 213) cohorts. Histology cohort: 18 patients with severe aortic stenosis with histology obtained during valve replacement. Outcome cohort: For comparison with external outcome data, we applied synthetic ECV to 1,172 consecutive patients (median follow-up 1.7 years; 74 deaths). All underwent CMR scanning at 1.5-T with ECV calculation from pre- and post-contrast T1 (blood and myocardium) and venous Hct. RESULTS: Proof-of-concept: In the derivation cohort, native R1blood and Hct showed a linear relationship (R(2) = 0.51; p < 0.001), which was used to create synthetic Hct and ECV. Synthetic ECV correlated well with conventional ECV (R(2) = 0.97; p < 0.001) without bias. These results were maintained in the validation cohort. Histology cohort: Synthetic and conventional ECV both correlated well with collagen volume fraction measured from histology (R(2) = 0.61 and 0.69, both p < 0.001) with no statistical difference (p = 0.70). Outcome cohort: Synthetic ECV related to all-cause mortality (hazard ratio 1.90; 95% confidence interval 1.55 to 2.31; for every 5% increase in ECV). Finally, we engineered a synthetic ECV tool, generating automatic ECV maps during image acquisition. CONCLUSIONS: Synthetic ECV provides validated noninvasive quantification of the myocardial extracellular space without blood sampling and is associated with cardiovascular outcomes.

Automatic measurement of the myocardial interstitium synthetic extracellular volume quantification without hematocrit sampling / Treibel, Thomas A.; Fontana, Marianna; Maestrini, Viviana; Castelletti, Silvia; Rosmini, Stefania; Simpson, Joanne; Nasis, Arthur; Bhuva, Anish N.; Bulluck, Heerajnarain; Abdel Gadir, Amna; White, Steven K.; Manisty, Charlotte; Spottiswoode, Bruce S.; Wong, Timothy C.; Piechnik, Stefan K.; Kellman, Peter; Robson, Matthew D.; Schelbert, Erik B.; Moon, James C.. - In: JACC. CARDIOVASCULAR IMAGING. - ISSN 1936-878X. - 9:1(2016), pp. 54-63. [10.1016/j.jcmg.2015.11.008]

Automatic measurement of the myocardial interstitium synthetic extracellular volume quantification without hematocrit sampling

MAESTRINI, VIVIANA;
2016

Abstract

OBJECTIVES: The authors sought to generate a synthetic extracellular volume fraction (ECV) from the relationship between hematocrit and longitudinal relaxation rate of blood. BACKGROUND: ECV quantification by cardiac magnetic resonance (CMR) measures diagnostically and prognostically relevant changes in the extracellular space. Current methodologies require blood hematocrit (Hct) measurement-a complication to easy clinical application. We hypothesized that the relationship between Hct and longitudinal relaxation rate of blood (R1 = 1/T1blood) could be calibrated and used to generate a synthetic ECV without Hct that was valid, user-friendly, and prognostic. METHODS: Proof-of-concept: 427 subjects with a wide range of health and disease were divided into derivation (n = 214) and validation (n = 213) cohorts. Histology cohort: 18 patients with severe aortic stenosis with histology obtained during valve replacement. Outcome cohort: For comparison with external outcome data, we applied synthetic ECV to 1,172 consecutive patients (median follow-up 1.7 years; 74 deaths). All underwent CMR scanning at 1.5-T with ECV calculation from pre- and post-contrast T1 (blood and myocardium) and venous Hct. RESULTS: Proof-of-concept: In the derivation cohort, native R1blood and Hct showed a linear relationship (R(2) = 0.51; p < 0.001), which was used to create synthetic Hct and ECV. Synthetic ECV correlated well with conventional ECV (R(2) = 0.97; p < 0.001) without bias. These results were maintained in the validation cohort. Histology cohort: Synthetic and conventional ECV both correlated well with collagen volume fraction measured from histology (R(2) = 0.61 and 0.69, both p < 0.001) with no statistical difference (p = 0.70). Outcome cohort: Synthetic ECV related to all-cause mortality (hazard ratio 1.90; 95% confidence interval 1.55 to 2.31; for every 5% increase in ECV). Finally, we engineered a synthetic ECV tool, generating automatic ECV maps during image acquisition. CONCLUSIONS: Synthetic ECV provides validated noninvasive quantification of the myocardial extracellular space without blood sampling and is associated with cardiovascular outcomes.
2016
collagen; ECV; magnetic resonance imaging; mortality; myocardial fibrosis; adult; aged; automation; biomarkers; case-control studies; collagen; extracellular space; female; heart diseases; hematocrit; humans; image interpretation, computer-assisted; linear models; london; magnetic resonance imaging; male; middle aged; myocardium; pennsylvania; predictive value of tests; prognosis; reproducibility of results; stroke volume; ventricular function, left; young adult; radiology, nuclear medicine and imaging; cardiology and cardiovascular medicine
01 Pubblicazione su rivista::01a Articolo in rivista
Automatic measurement of the myocardial interstitium synthetic extracellular volume quantification without hematocrit sampling / Treibel, Thomas A.; Fontana, Marianna; Maestrini, Viviana; Castelletti, Silvia; Rosmini, Stefania; Simpson, Joanne; Nasis, Arthur; Bhuva, Anish N.; Bulluck, Heerajnarain; Abdel Gadir, Amna; White, Steven K.; Manisty, Charlotte; Spottiswoode, Bruce S.; Wong, Timothy C.; Piechnik, Stefan K.; Kellman, Peter; Robson, Matthew D.; Schelbert, Erik B.; Moon, James C.. - In: JACC. CARDIOVASCULAR IMAGING. - ISSN 1936-878X. - 9:1(2016), pp. 54-63. [10.1016/j.jcmg.2015.11.008]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/970037
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