Evidence map›Paper›PMID 42622827›Full record

ReviewAbdominal radiology (New York)2026

Abdominal vascular calcification at CT: opportunistic quantification and imaging-based risk stratification.

Wenpeng Huang, Yeping Bian, Zhenning Zhu, Xiaojing Deng, Song Luo

Abstract readReview
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In one paragraph

Review in Abdominal radiology (New York), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Wenpeng HuangDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Yeping BianIntensive Care Unit, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Zhenning ZhuDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China.
Xiaojing DengIntensive Care Unit, Geriatric Hospital of Nanjing Medical University, Nanjing, China. deng-xiaojing@163.com.
Song LuoDepartment of Radiology, Geriatric Hospital of Nanjing Medical University, Nanjing, China. hnldls@163.com.

Funding

Key Project of Scientific Research Program of Jiangsu Provincial Health Commission BJ2404
6 · The paper itself

Abstract

Abdominal vascular calcification is increasingly recognized as a clinically relevant marker of systemic atherosclerotic burden and regional vascular disease. Because the abdominal aorta and its major branches are frequently captured on routine abdominal, oncologic, vascular, and preoperative CT examinations, CT provides a practical opportunity for opportunistic assessment of vascular calcium beyond the coronary circulation. This review summarizes current approaches to CT-based evaluation of abdominal vascular calcification, with a focus on abdominal aortic, renal artery, mesenteric and celiac artery, and aortoiliac calcification. We discuss imaging sources, acquisition protocols, anatomic coverage, and quantitative and semiquantitative scoring methods, including Agatston-based, volume-based, and length-adjusted metrics. We also review the clinical implications of calcification across abdominal vascular territories, including its associations with cardiovascular events, renal dysfunction, mesenteric ischemia, peripheral arterial disease, perioperative complications, and mortality. Finally, we highlight the emerging role of automated and artificial intelligence-based quantification in scalable risk stratification. Standardized definitions, harmonized scoring methods, validated thresholds, and prospective outcome-based studies are needed before abdominal vascular calcification can be fully integrated into routine clinical reporting. For AI-enabled opportunistic screening to be widely adopted, future multicenter validation studies should establish standardized anatomical definitions and scoring frameworks, assess algorithm performance in independent external datasets spanning diverse CT acquisition protocols and scanner platforms, and prioritize clinically meaningful outcome-based endpoints with sufficient follow-up rather than relying solely on segmentation accuracy.

Indexed as

Abdominal vascular calcificationArtificial intelligenceComputed tomographyRisk stratificationVascular calcium scoring

Identifiers

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.