Evidence map›Paper›PMID 39995738›Full record

ArticleQuantitative imaging in medicine and surgery2025

One-stop combined coronary-craniocervical computed tomography angiography with low-dose body coverage using artificial intelligence iterative reconstruction: a clinically feasible solution to multi-territorial atherosclerosis diagnosis.

Rui Guo, Song Peng, Wanhui Zhou, Guozhi Zhang, Pengfei Rong, Qi Liang, Roumei Peng, Jiao Deng, Pengzhi Hu

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Rui Guo *Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Song Peng *Department of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Wanhui ZhouCentral Research Institute, United Imaging Healthcare, Shanghai, China.ORCID https://orcid.org/0009-0004-2177-3528
Guozhi ZhangCentral Research Institute, United Imaging Healthcare, Shanghai, China.ORCID https://orcid.org/0000-0002-4819-3580
Pengfei RongDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Qi LiangDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Roumei PengDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Jiao DengDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.
Pengzhi HuDepartment of Radiology, The Third Xiangya Hospital, Central South University, Changsha, China.ORCID https://orcid.org/0000-0001-5309-4459

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Computed tomography angiography (CTA) is an effective means to detect atherosclerosis yet a whole-body scan may involve excessive dose that can only be considered in extreme cases. This study is to test the feasibility and value of adding a low-dose body CTA to the combined coronary-craniocervical CTA by using artificial intelligence iterative reconstruction (AIIR). Methods: A total of 100 patients scheduled for one-stop combined coronary-craniocervical CTA were enrolled to receive an extended CTA covering from intracranial to iliofemoral arteries, by adding a low-dose body CTA to the coronary-craniocervical CTA. Radiation dose, contrast medium volume and the resulting image quality of the added scan, reconstructed by the AIIR, were compared to those from the retrospectively collected routine-dose aortic CTA. Diagnostic findings beyond the coronary and craniocervical arteries, which would have been missed if not for the extension, and their influence on clinical management, were assessed on the low-dose images. Results: With rather low cost of radiation and contrast dosage (1.6 mSv, 25.4 mL), the body CTA with AIIR reconstruction yielded diagnostically sufficient image quality and significantly higher contrast-to-noise ratio (CNR) as compared to routine-dose aortic CTA at various vascular locations (all P<0.05). Additional atherosclerosis was detected by the added low-dose body CTA for a substantial proportion of patients (73/100, 73%). Incidental findings in the body were found in 26 patients with 44 detections. The corresponding clinical management of 38% patients was changed due to the atherosclerotic and non-atherosclerotic vascular findings on body arteries. Most of the atherosclerosis were calcified plaques (38/73, 52%) and rated as mild stenosis (62/73, 85%). The prevalence of body arterial atherosclerosis was remarkably higher among patients diagnosed with coronary-craniocervical atherosclerosis than those without coronary-craniocervical atherosclerosis (85% Conclusions: Extending the one-stop combined coronary-craniocervical CTA with low-dose body coverage as enabled by the AIIR is technically feasible and of evident clinical value in clinical decision-making, taking a concrete step towards multi-territorial atherosclerosis diagnosis and management in practical application.

Indexed as

artificial intelligenceatherosclerosisComputed tomography angiography (CTA)radiation dosage

Identifiers

PMID39995738
PMCPMC11847197

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