Evidence map›Paper›PMID 42724681›Full record

ArticleJournal of thoracic disease2026

Diagnostic value of a combined model for acute aortic syndrome based on internal migration of calcification on non-contrast computed tomography.

Wenying Liu, Juan Peng, Jie Zou, Jingyuan Zhong, Xingyue Li, Jiabing Huang, Lianggeng Gong

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Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Wenying LiuDepartment of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Juan PengDepartment of Health and Wellness, Nanchang Health Vocational and Technical College, Nanchang, China.
Jie ZouDepartment of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jingyuan ZhongDepartment of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Xingyue LiDepartment of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Jiabing Huang *Department of Cardiology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Lianggeng Gong *Department of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.ORCID https://orcid.org/0000-0001-7900-874X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Displacement of calcification stands out as the most easily observable imaging feature on non-contrast computed tomography (NCCT). This study aimed to develop and evaluate the diagnostic accuracy of a combined model for acute aortic syndrome (AAS) by integrating inward migration of calcification and other NCCT-derived imaging features. Methods: The data of 69 patients with 120 lesions of inward migration of calcification who underwent chest or abdominal NCCT due to unexplained chest or abdominal pain were analyzed retrospectively. The presence or absence of AAS and its subtypes were confirmed through thoracoabdominal computed tomography angiography (CTA). The distance from the migrated calcification to the aortic adventitia and other imaging parameters were measured and recorded. Generalized estimating equations (GEE) were used to analyze imaging and clinical differences between the AAS-positive and AAS-negative groups, as well as among different AAS subtypes. The area under the receiver operating characteristic curve (AUC) evaluated diagnostic efficacy. Results: Finally, four indicators (D-dimer, the distance from migrated calcification to the aortic adventitia, the mean diameter-to-distance ratio and linear high-density) were identified as significant predictors of AAS. And the combined model incorporating the four indicators exhibited superior performance in detecting AAS (AUC =0.908, 95% confidence interval: 0.846-0.970). Notably, the distance was significantly higher in the aortic dissection (AD) group compared to the intramural hematoma (IMH) group and penetrating atherosclerotic ulcer (PAU) group, and the mean diameter-to-distance ratio was lower in the AD group compared with the IMH group. Conclusions: NCCT emerges as a potential screening tool for AAS. The combined model based on the displacement of calcification on NCCT is valuable for diagnosing AAS.

Indexed as

Acute aortic syndrome (AAS)aortic dissection (AD)intramural hematoma (IMH)inward migration of calcificationpenetrating atherosclerotic ulcer (PAU)

Identifiers

PMID42724681
PMCPMC13559458

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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.