Machine Learning for Evaluating Vulnerable Plaque on Coronary Computed Tomography Using Spectral Imaging.

Circ Rep · 2024 · PMC11626021 · PMID 39659635

Europe PMC DOI

hedged sentences

0.0500

closest p · 1.0× alpha

0.0500

boldest claim

The sentences

showed a trendP=0.05actually significant

Spotty calcification showed a trend towards higher prevalence in vulnerable plaques (59% vs. 23%; P=0.05).

also in 23,610 other papers

a favorable trendno p-value reported

The skewness and entropy AUCs exhibited a favorable trend in the intermediate energy range.

also in 759 other papers

did not reach statistical significanceno p-value reported

21.2±12.0 mm 3 ; P=0.08), this difference did not reach statistical significance.

also in 53,799 other papers

Quoted from the open-access full text in Europe PMC under the licence the publisher applied. The sentence is reproduced exactly as published; the emphasis is ours.