Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients

Ota, Takashi; Nakamoto, Atsushi; Hori, Masatoshi; Fukui, Hideyuki; Onishi, Hiromitsu; Tatsumi, Mitsuaki; Tomiyama, Noriyuki

doi:https://doi.org/10.1007/s11547-025-01978-0

Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients

Ota, Takashi; Nakamoto, Atsushi; Hori, Masatoshi et al.

Radiologia Medica, 2025

Number of Access:751（2025-07-08 23:39 Counts）

Identifier to cite or link to this item: https://hdl.handle.net/11094/101110

Link to primary information

File	Format	Terms of use	Size	Views	Date.Available	Description	information
RadiolMed	pdf	None	3.02 MB	20	2025.05.02

Creative Commons : Attribution

Item Information

Output File Export EndNote Basic Export Mendeley

Title	Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients
Creator	NRID 1000020868088 1000020868088 researchmap permalink takashi_0123 takashi_0123 Scopus Author ID 57194721064 57194721064 CreatorName Ota, Takashi
	NRID 1000020625199 1000020625199 researchmap permalink nakamo10 nakamo10 Scopus Author ID 36778686900 36778686900 CreatorName Nakamoto, Atsushi
	NRID 1000000346206 1000000346206 researchmap permalink read0092260 read0092260 CreatorName Hori, Masatoshi
	NRID 1000000721101 1000000721101 researchmap permalink h-fukui h-fukui Scopus Author ID 57192195026 57192195026 CreatorName Fukui, Hideyuki
	NRID 1000020452435 1000020452435 researchmap permalink edv edv Scopus Author ID 9240645100 9240645100 CreatorName Onishi, Hiromitsu
	NRID 1000060397700 1000060397700 ORCID 0000-0003-1778-0421 0000-0003-1778-0421 researchmap permalink mtatsumi mtatsumi Scopus Author ID 7102266657 7102266657 CreatorName Tatsumi, Mitsuaki
	NRID 1000050294070 1000050294070 researchmap permalink 3430 3430 Scopus Author ID 7006024942 7006024942 CreatorName Tomiyama, Noriyuki
Subject	Photon-counting CT
	Abdominal atherosclerosis
	Cardiovascular disease
	CT angiography
	Virtual non-calcium
	Calcification volume
Description	The version of record of this article, first published in Radiological Physics and Technology, is available online at Publisher’s website: https://doi.org/10.1007/s11547-025-01978-0.
Abstract	Objectives: To evaluate abdominal aortic calcification parameters derived from 3D volumetric analysis using photon-counting CT (PCCT) angiography-based virtual non-calcium (VNCa) algorithm as an imaging biomarker for high-risk cardiovascular disease (CVD) patients. Methods: This retrospective study included patients who underwent abdominal PCCT angiography and non-contrast-enhanced chest CT (nCE-CCT, including CT scanners other than PCCT) between March 2023 and June 2024. Abdominal aortic calcification maps were generated by subtracting VNCa from the corresponding CTA images to calculate the abdominal calcification volume (ACV) and aortic wall volume (AWV). Percentage calcification volume (PCV) was calculated as ACV/AWV. Agatston scores from nCE-CCT classified patients into low- (≤ 100) and high-risk (> 100) CVD groups. Correlations between Agatston score, ACV, and PCV were analyzed using Spearman’s rank correlation, and receiver operating characteristic analysis was used to determine the performance and cutoff values of ACV and PCV, with McNemar’s test comparing sensitivities and specificities. Results: The study included 200 patients, 163 low- and 37 high-risk patients. Agatston score correlations with ACV and PCV were 0.75 and 0.78, respectively (p < 0.0001). PCV showed a superior AUC (0.94) than ACV (0.90, p = 0.0002). Cutoff values were 5.74 mL for ACV (75.7% sensitivity, 89.0% specificity) and 14.81% for PCV (73.0% sensitivity, 99.4% specificity), and PCV specificity was significantly higher than ACV specificity (p < 0.0001). Conclusion: PCV > 14.81% indicates an increased CVD risk, suggesting that PCV is a potential imaging biomarker for high-risk patients with CVD. Abdominal CTA alone may identify high-risk patients with CVD, warranting further cardiovascular screening.
Publisher	Springer-Verlag Italia s.r.l.
Source Title	Radiologia Medica
Date of Issued	2025-03-28
Language	English
Handle URL	https://hdl.handle.net/11094/101110
PISSN	00338362
eISSN	18266983
Relation.isIdenticalTo	DOI (Publisher Version) https://doi.org/10.1007/s11547-025-01978-0
Access Rights	open access
CopyRight	This article is licensed under a Creative Commons Attribution 4.0 International License.
oaire:version	Version of Record
Category	学術雑誌論文 Journal Article

Resource Type	journal article
Local Type	Journal Article
DCMI Type	Text
DCTERMS.bibliographicCitation	Radiologia Medica. 2025
DC.title	Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients
DC.creator	Ota, Takashi
	Nakamoto, Atsushi
	Hori, Masatoshi
	Fukui, Hideyuki
	Onishi, Hiromitsu
	Tatsumi, Mitsuaki
	Tomiyama, Noriyuki
DC.publisher	Springer-Verlag Italia s.r.l.
DC.language' scheme='DCTERMS.RFC1766	English
DC.type' scheme='DCTERMS.DCMIType	Text
DCTERMS.issued' scheme='DCTERMS.W3CDTF	2025-03-28
DC.identifier	https://doi.org/10.1007/s11547-025-01978-0
DC.subject	Photon-counting CT
	Abdominal atherosclerosis
	Cardiovascular disease
	CT angiography
	Virtual non-calcium
	Calcification volume
DC.description	The version of record of this article, first published in Radiological Physics and Technology, is available online at Publisher’s website: https://doi.org/10.1007/s11547-025-01978-0.
DCTERMS.abstract	Objectives: To evaluate abdominal aortic calcification parameters derived from 3D volumetric analysis using photon-counting CT (PCCT) angiography-based virtual non-calcium (VNCa) algorithm as an imaging biomarker for high-risk cardiovascular disease (CVD) patients. Methods: This retrospective study included patients who underwent abdominal PCCT angiography and non-contrast-enhanced chest CT (nCE-CCT, including CT scanners other than PCCT) between March 2023 and June 2024. Abdominal aortic calcification maps were generated by subtracting VNCa from the corresponding CTA images to calculate the abdominal calcification volume (ACV) and aortic wall volume (AWV). Percentage calcification volume (PCV) was calculated as ACV/AWV. Agatston scores from nCE-CCT classified patients into low- (≤ 100) and high-risk (> 100) CVD groups. Correlations between Agatston score, ACV, and PCV were analyzed using Spearman’s rank correlation, and receiver operating characteristic analysis was used to determine the performance and cutoff values of ACV and PCV, with McNemar’s test comparing sensitivities and specificities. Results: The study included 200 patients, 163 low- and 37 high-risk patients. Agatston score correlations with ACV and PCV were 0.75 and 0.78, respectively (p < 0.0001). PCV showed a superior AUC (0.94) than ACV (0.90, p = 0.0002). Cutoff values were 5.74 mL for ACV (75.7% sensitivity, 89.0% specificity) and 14.81% for PCV (73.0% sensitivity, 99.4% specificity), and PCV specificity was significantly higher than ACV specificity (p < 0.0001). Conclusion: PCV > 14.81% indicates an increased CVD risk, suggesting that PCV is a potential imaging biomarker for high-risk patients with CVD. Abdominal CTA alone may identify high-risk patients with CVD, warranting further cardiovascular screening.
DC.rights	This article is licensed under a Creative Commons Attribution 4.0 International License.
DC.format	101110
citation_title	Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients
citation_author	Ota, Takashi
	Nakamoto, Atsushi
	Hori, Masatoshi
	Fukui, Hideyuki
	Onishi, Hiromitsu
	Tatsumi, Mitsuaki
	Tomiyama, Noriyuki
citation_publisher	Springer-Verlag Italia s.r.l.
citation_language	English
citation_date	2025-03-28
citation_journal_title	Radiologia Medica
citation_doi	https://doi.org/10.1007/s11547-025-01978-0
citation_public_url	https://hdl.handle.net/11094/101110

Quantification of abdominal aortic calcification using photon-counting CT angiography: an imaging biomarker for high-risk cardiovascular patients

Link to primary information

Item Information

Show details