ArticleBMC cardiovascular disorders2025
The diagnostic efficacy of unenhanced CT for detecting acute central pulmonary embolism.
Article in BMC cardiovascular disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Unenhanced CT quantitative vascular morphometry for detecting central pulmonary embolism: a multicenter study.Quantitative imaging in medicine and surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute central pulmonary embolism (ACPE) is associated with poor prognosis and higher mortality rates, emphasizing the importance of early detection to improve patient outcomes. The symptoms of ACPE present with non-specificity, and unenhanced chest CT may be employed prior to CTPA for the diagnosis of pulmonary diseases such as pneumonia. In such scenarios, early identification of ACPE is of paramount importance.
objectivesThis study aimed to evaluate the diagnostic utility of unenhanced CT in ACPE involving thrombosis locted in the main pulmonary artery or the right or left pulmonary artery, as well as to develop a convenient and rapid tool for assessing the risk of ACPE on unenhanced CT. METHODS AND MATERIALS: This retrospective study developed a diagnostic tool based on variables identified from unenhanced CT images acquired within 12 h prior to computed tomography pulmonary angiography (CTPA) in 122 patients. A stepwise logistic regression approach was employed to construct the diagnostic modeland utilized to designed a nomogram suitable for clinical application. Subsequently, this Nomogram was validated in another cohort of 24 patients.
resultsUnenhanced CT model comprising abnormal density signs, main pulmonary artery and aorta ratio>0.83 and Azygos vein were predictive indicators for ACPE in both the derivation (AUC 0.877; 95% CI 0.805 to 0.930) and validation cohorts (AUC 0.844; 95% CI 0.638 to 0.958) and superior to D-dimer (AUC 0.799; 95% CI 0.717 to 0.866).
conclusionUnenhanced CT is valuable for diagnosing ACPE, especially in patients with non-specificity symptoms.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.