Three-dimensional quantification and visualization of aortic calcification by multidetector-row computed tomography: A simple approach using a volume-rendering method

Abstract Objective : Three-dimensional (3-D) visualization and quantification of vascular calcification (VC) are important to accelerate the multidisciplinary investigation of VC. Agatston scoring is the standard approach for evaluating coronary artery calcification. However, regarding aortic calcif...

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Veröffentlicht in:Atherosclerosis 2015-04, Vol.239 (2), p.622-628
Hauptverfasser: Mori, Shumpei, Takaya, Tomofumi, Kinugasa, Mitsuo, Ito, Tatsuro, Takamine, Sachiko, Fujiwara, Sei, Nishii, Tatsuya, Kono, Atsushi K, Inoue, Takeshi, Satomi-Kobayashi, Seimi, Rikitake, Yoshiyuki, Okita, Yutaka, Hirata, Ken-ichi
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container_end_page 628
container_issue 2
container_start_page 622
container_title Atherosclerosis
container_volume 239
creator Mori, Shumpei
Takaya, Tomofumi
Kinugasa, Mitsuo
Ito, Tatsuro
Takamine, Sachiko
Fujiwara, Sei
Nishii, Tatsuya
Kono, Atsushi K
Inoue, Takeshi
Satomi-Kobayashi, Seimi
Rikitake, Yoshiyuki
Okita, Yutaka
Hirata, Ken-ichi
description Abstract Objective : Three-dimensional (3-D) visualization and quantification of vascular calcification (VC) are important to accelerate the multidisciplinary investigation of VC. Agatston scoring is the standard approach for evaluating coronary artery calcification. However, regarding aortic calcification (AC), quantification methods appear to vary among studies. The aim of this study was to introduce a simple technique of simultaneous quantification and 3-D visualization of AC and provide validation data. Methods : The main study comprised of 126 patients who underwent the thoracoabdominal plain computed tomography scan as preoperative general evaluation. AC was quantified using a volume-rendering (VR) method (VR AC volume) by extracting the volume with a density ≥130 HU within the total aorta. The concordance and reproducibility of the VR AC volume were validated in comparison with the conventional slice-by-slice voxel-based AC quantification (volumetric AC score) using the Agatston scoring software. Results : Excellent concordance between the VR AC volume and volumetric AC score was confirmed (Spearman correlation coefficient = 0.9997, mean difference = −0.05 ± 0.23 mL, p  
doi_str_mv 10.1016/j.atherosclerosis.2014.12.041
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Agatston scoring is the standard approach for evaluating coronary artery calcification. However, regarding aortic calcification (AC), quantification methods appear to vary among studies. The aim of this study was to introduce a simple technique of simultaneous quantification and 3-D visualization of AC and provide validation data. Methods : The main study comprised of 126 patients who underwent the thoracoabdominal plain computed tomography scan as preoperative general evaluation. AC was quantified using a volume-rendering (VR) method (VR AC volume) by extracting the volume with a density ≥130 HU within the total aorta. The concordance and reproducibility of the VR AC volume were validated in comparison with the conventional slice-by-slice voxel-based AC quantification (volumetric AC score) using the Agatston scoring software. Results : Excellent concordance between the VR AC volume and volumetric AC score was confirmed (Spearman correlation coefficient = 0.9997, mean difference = −0.05 ± 0.23 mL, p  &lt;0.0001). Excellent intraobserver and interobserver reliabilities were demonstrated using the Bland–Altman analysis as the mean intraobserver difference was 0.00 mL ( p  = 0.9863) and the mean interobserver difference was −0.01 mL ( p  = 0.6612). Conclusion : The VR method was validated to be feasible. This simple approach could overcome the limitation of the current method based on slice-by-slice pixel or voxel summation, which lacks 3-D visual information. 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Agatston scoring is the standard approach for evaluating coronary artery calcification. However, regarding aortic calcification (AC), quantification methods appear to vary among studies. The aim of this study was to introduce a simple technique of simultaneous quantification and 3-D visualization of AC and provide validation data. Methods : The main study comprised of 126 patients who underwent the thoracoabdominal plain computed tomography scan as preoperative general evaluation. AC was quantified using a volume-rendering (VR) method (VR AC volume) by extracting the volume with a density ≥130 HU within the total aorta. The concordance and reproducibility of the VR AC volume were validated in comparison with the conventional slice-by-slice voxel-based AC quantification (volumetric AC score) using the Agatston scoring software. Results : Excellent concordance between the VR AC volume and volumetric AC score was confirmed (Spearman correlation coefficient = 0.9997, mean difference = −0.05 ± 0.23 mL, p  &lt;0.0001). Excellent intraobserver and interobserver reliabilities were demonstrated using the Bland–Altman analysis as the mean intraobserver difference was 0.00 mL ( p  = 0.9863) and the mean interobserver difference was −0.01 mL ( p  = 0.6612). Conclusion : The VR method was validated to be feasible. This simple approach could overcome the limitation of the current method based on slice-by-slice pixel or voxel summation, which lacks 3-D visual information. 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Agatston scoring is the standard approach for evaluating coronary artery calcification. However, regarding aortic calcification (AC), quantification methods appear to vary among studies. The aim of this study was to introduce a simple technique of simultaneous quantification and 3-D visualization of AC and provide validation data. Methods : The main study comprised of 126 patients who underwent the thoracoabdominal plain computed tomography scan as preoperative general evaluation. AC was quantified using a volume-rendering (VR) method (VR AC volume) by extracting the volume with a density ≥130 HU within the total aorta. The concordance and reproducibility of the VR AC volume were validated in comparison with the conventional slice-by-slice voxel-based AC quantification (volumetric AC score) using the Agatston scoring software. Results : Excellent concordance between the VR AC volume and volumetric AC score was confirmed (Spearman correlation coefficient = 0.9997, mean difference = −0.05 ± 0.23 mL, p  &lt;0.0001). Excellent intraobserver and interobserver reliabilities were demonstrated using the Bland–Altman analysis as the mean intraobserver difference was 0.00 mL ( p  = 0.9863) and the mean interobserver difference was −0.01 mL ( p  = 0.6612). Conclusion : The VR method was validated to be feasible. This simple approach could overcome the limitation of the current method based on slice-by-slice pixel or voxel summation, which lacks 3-D visual information. Accordingly, this approach would be promising for accelerating the investigation of VC.</abstract><cop>Ireland</cop><pub>Elsevier Ireland Ltd</pub><pmid>25554696</pmid><doi>10.1016/j.atherosclerosis.2014.12.041</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0001-5775-8072</orcidid><oa>free_for_read</oa></addata></record>
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subjects Agatston score
Aged
Aortic calcification
Aortic Diseases - diagnostic imaging
Aortography - methods
Cardiovascular
Feasibility Studies
Female
Humans
Imaging, Three-Dimensional - methods
Male
Middle Aged
Multidetector Computed Tomography
Multidetector-row computed tomography
Observer Variation
Predictive Value of Tests
Radiographic Image Interpretation, Computer-Assisted - methods
Reproducibility of Results
Retrospective Studies
Severity of Illness Index
Software
Vascular calcification
Vascular Calcification - diagnostic imaging
Volume-rendering method
title Three-dimensional quantification and visualization of aortic calcification by multidetector-row computed tomography: A simple approach using a volume-rendering method
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