S Deseive1, R Straub2, M Kupke2, A Broersen3, P H Kitslaar4, S Massberg2, M Hadamitzky5, J Hausleiter2. 1. Medizinische Klinik und Poliklinik I der Ludwig-Maximilians-Universität München, Munich, Germany. Electronic address: simon.deseive@med.uni-muenchen.de. 2. Medizinische Klinik und Poliklinik I der Ludwig-Maximilians-Universität München, Munich, Germany. 3. Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands. 4. Division of Image Processing, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands; Medis Medical Imaging Systems Bv, Leiden, The Netherlands. 5. Division of Radiology, Deutsches Herzzentrum Muenchen, Munich, Germany.
Abstract
BACKGROUND: To investigate the incremental prognostic value of low-attenuation plaque volume (LAPV) from coronary CT angiography datasets. METHODS: Quantification of LAPV was performed using dedicated software equipped with an adaptive plaque tissue algorithm in 1577 patients with suspected CAD. A combination of death and acute coronary syndrome was defined as primary endpoint. To assess the incremental prognostic value of LAPV, parameters were added to a baseline model including clinical risk and obstructive coronary artery disease (CAD), a baseline model including clinical risk and calcium scoring (CACS) and a baseline model including clinical risk and segment involvement score (SIS). RESULTS: Patients were followed for 5.5 years either by telephone contact, mail or clinical visits. The primary endpoint occurred in 30 patients. Quantified LAPV provided incremental prognostic information beyond clinical risk and obstructive CAD (c-index 0.701 vs. 0.767, p < .001), clinical risk and CACS (c-index 0.722 vs. 0.771, p < .01) and clinical risk and SIS (c-index 0.735 vs. 0.771, p < .01. A combined approach using quantified LAPV and clinical risk significantly improved the stratification of patients into different risk categories compared to clinical risk alone (categorical net reclassification index 0.69 with 95% CI 0.27 and 0.96, p < .001). The combined approach classified 846 (53.6%) patients as low risk (annual event rate 0.04%), 439 (27.8%) patients as intermediate risk (annual event rate 0.5%) and 292 (18.5%) patients as high risk (annual event rate 0.99%). CONCLUSION: Quantification of LAPV provides incremental prognostic information beyond established CT risk patterns and permits improved stratification of patients into different risk categories.
BACKGROUND: To investigate the incremental prognostic value of low-attenuation plaque volume (LAPV) from coronary CT angiography datasets. METHODS: Quantification of LAPV was performed using dedicated software equipped with an adaptive plaque tissue algorithm in 1577 patients with suspected CAD. A combination of death and acute coronary syndrome was defined as primary endpoint. To assess the incremental prognostic value of LAPV, parameters were added to a baseline model including clinical risk and obstructive coronary artery disease (CAD), a baseline model including clinical risk and calcium scoring (CACS) and a baseline model including clinical risk and segment involvement score (SIS). RESULTS:Patients were followed for 5.5 years either by telephone contact, mail or clinical visits. The primary endpoint occurred in 30 patients. Quantified LAPV provided incremental prognostic information beyond clinical risk and obstructive CAD (c-index 0.701 vs. 0.767, p < .001), clinical risk and CACS (c-index 0.722 vs. 0.771, p < .01) and clinical risk and SIS (c-index 0.735 vs. 0.771, p < .01. A combined approach using quantified LAPV and clinical risk significantly improved the stratification of patients into different risk categories compared to clinical risk alone (categorical net reclassification index 0.69 with 95% CI 0.27 and 0.96, p < .001). The combined approach classified 846 (53.6%) patients as low risk (annual event rate 0.04%), 439 (27.8%) patients as intermediate risk (annual event rate 0.5%) and 292 (18.5%) patients as high risk (annual event rate 0.99%). CONCLUSION: Quantification of LAPV provides incremental prognostic information beyond established CT risk patterns and permits improved stratification of patients into different risk categories.
Authors: Márton Kolossváry; Elliot K Fishman; Gary Gerstenblith; David A Bluemke; Raul N Mandler; David Celentano; Thomas S Kickler; Sarah Bazr; Shaoguang Chen; Shenghan Lai; Hong Lai Journal: Eur Radiol Date: 2021-03-03 Impact factor: 7.034