RATIONALE AND OBJECTIVES: Extracoronary calcifications may have clinical significance. The error in extracoronary calcification measurements is still unknown. Accurate quantification of calcifications of the aortic valve (AVC), mitral annulus (MAC), and aortic wall (AWC) may be possible by using cardiac computed tomography (CT). We sought to establish the interscan, interobserver, and intraobserver reproducibility of these measures in all cardiac CT scans in the Multi-Ethnic Study of Atherosclerosis. MATERIALS AND METHODS: We measured extracoronary calcifications in 100 randomly selected participants to assess interobserver, interscan, and intraobserver variability. Two scans were available for analysis in 99 of these participants, and we quantified thoracic aorta and valvular calcifications. RESULTS: Mean interscan variability of AVC was 9.7% +/- 11.4% and 8% +/- 10.3% for Agatston and volume scores, with variability of the median at 6.4% and 5.5%, respectively (P > .05). MAC inter-reader variability was 8.2% and 8.9%, with interscan variability of 28% and 33% and intrareader variability of 4% and 4.1%, respectively. For AWC, inter-reader variability was 3%-7.1%, interscan variability was 17%-18%, and intrareader variability was 0.4%-1.4%. CONCLUSION: AVC, MAC, and AWC measurements are sufficiently reproducible to allow serial investigations over a time suitable for clinical studies.
RATIONALE AND OBJECTIVES: Extracoronary calcifications may have clinical significance. The error in extracoronary calcification measurements is still unknown. Accurate quantification of calcifications of the aortic valve (AVC), mitral annulus (MAC), and aortic wall (AWC) may be possible by using cardiac computed tomography (CT). We sought to establish the interscan, interobserver, and intraobserver reproducibility of these measures in all cardiac CT scans in the Multi-Ethnic Study of Atherosclerosis. MATERIALS AND METHODS: We measured extracoronary calcifications in 100 randomly selected participants to assess interobserver, interscan, and intraobserver variability. Two scans were available for analysis in 99 of these participants, and we quantified thoracic aorta and valvular calcifications. RESULTS: Mean interscan variability of AVC was 9.7% +/- 11.4% and 8% +/- 10.3% for Agatston and volume scores, with variability of the median at 6.4% and 5.5%, respectively (P > .05). MAC inter-reader variability was 8.2% and 8.9%, with interscan variability of 28% and 33% and intrareader variability of 4% and 4.1%, respectively. For AWC, inter-reader variability was 3%-7.1%, interscan variability was 17%-18%, and intrareader variability was 0.4%-1.4%. CONCLUSION: AVC, MAC, and AWC measurements are sufficiently reproducible to allow serial investigations over a time suitable for clinical studies.
Authors: Sammy Elmariah; Joseph A C Delaney; Kevin D O'Brien; Matthew J Budoff; Jens Vogel-Claussen; Valentin Fuster; Richard A Kronmal; Jonathan L Halperin Journal: J Am Coll Cardiol Date: 2010-11-16 Impact factor: 24.094
Authors: Nalini M Rajamannan; Frank J Evans; Elena Aikawa; K Jane Grande-Allen; Linda L Demer; Donald D Heistad; Craig A Simmons; Kristyn S Masters; Patrick Mathieu; Kevin D O'Brien; Frederick J Schoen; Dwight A Towler; Ajit P Yoganathan; Catherine M Otto Journal: Circulation Date: 2011-10-18 Impact factor: 29.690
Authors: Isac C Thomas; Caroline A Thompson; Mingan Yang; Matthew A Allison; Nketi I Forbang; Erin D Michos; Robyn L McClelland; Matthew J Budoff; Michael H Criqui Journal: Arterioscler Thromb Vasc Biol Date: 2018-08 Impact factor: 8.311
Authors: Seamus P Whelton; Andreas C Mauer; Karol M Pencina; Joseph M Massaro; Ralph B D'Agostino; Caroline S Fox; Udo Hoffmann; Erin D Michos; Gina M Peloso; Line Dufresne; James C Engert; Sekar Kathiresan; Matthew Budoff; Wendy S Post; George Thanassoulis; Christopher J O'Donnell Journal: Am J Cardiol Date: 2018-02-13 Impact factor: 2.778
Authors: Sammy Elmariah; Matthew J Budoff; Joseph A C Delaney; Yasmin Hamirani; John Eng; Valentin Fuster; Richard A Kronmal; Jonathan L Halperin; Kevin D O'Brien Journal: Am Heart J Date: 2013-09-26 Impact factor: 4.749
Authors: Geoffrey H Tison; Mengye Guo; Michael J Blaha; Robyn L McClelland; Matthew A Allison; Moyses Szklo; Nathan D Wong; Roger S Blumenthal; Matthew J Budoff; Khurram Nasir Journal: J Cardiovasc Comput Tomogr Date: 2015-04-07
Authors: Angelica Ezeigwe; Oluwaseun E Fashanu; Di Zhao; Matthew J Budoff; James D Otvos; Isac C Thomas; Samia Mora; Martin Tibuakuu; Erin D Michos Journal: Atherosclerosis Date: 2019-01-24 Impact factor: 5.162
Authors: Oluwaseun E Fashanu; Anas Bizanti; Ahmad Al-Abdouh; Di Zhao; Matthew J Budoff; Isac C Thomas; W T Longstreth; Erin D Michos Journal: Atherosclerosis Date: 2020-07-05 Impact factor: 5.162
Authors: Robbert W van Hamersvelt; Martin J Willemink; Richard A P Takx; Anouk L M Eikendal; Ricardo P J Budde; Tim Leiner; Christian P Mol; Ivana Isgum; Pim A de Jong Journal: Eur Radiol Date: 2014-05-10 Impact factor: 5.315