# Coronary cross-sectional area stenosis severity determined using coronary CT highly correlated with coronary functional flow reserve: a pilot study

**Authors:** Takuto Koumoto, Shozo Kusachi, Takumi Tomiya, Takuya Akagi, Hiroshi Kawamura, Satoshi Hirohata, Hirosuke Yamaji, Takashi Murakami, Shigeshi Kamikawa, Masaaki Murakami

PMC · DOI: 10.1038/s41598-025-11920-z · 2025-07-23

## TL;DR

This study shows that measuring coronary cross-sectional area stenosis with CT scans is highly accurate in predicting blood flow issues in heart arteries.

## Contribution

The study demonstrates that CT-based cross-sectional area stenosis is a reliable predictor of functional flow reserve in coronary arteries.

## Key findings

- Percentage cross-sectional area stenosis had high sensitivity and specificity in distinguishing FFR-positive and FFR-negative cases.
- Lesions with less than 45% area stenosis were not FFR-positive.
- CT angiography stenosis measurements are clinically useful for predicting FFR.

## Abstract

Fractional flow reserve (FFR) is the gold standard for assessing the physiological significance of coronary stenosis. We examined the potential correlation between digitally measured coronary cross-sectional area stenosis using coronary computed tomography (CT) angiography and FFR. We analyzed data of 32 consecutive patients with stenoses who underwent invasive FFR determination. The cross-sectional area was assessed using 128-slice coronary detector-based spectral CT angiography. Power analysis revealed that the sample size enabled the detection of an area under the receiver operating characteristic (ROC) curve (AUC) of 0.90. FFR ≤ 0.8 and > 0.8 were defined as FFR-positive and FFR-negative, respectively. Intra- and interobserver differences were negligible. Percentage cross-sectional area stenosis was calculated as 100 × (A−B)/A, where A is the cross-sectional area at non-stenotic pre-stenotic segment and B is the cross-sectional area of the most severe stenotic lesion. AUC indicated that percentage cross-sectional area stenosis effectively discriminated between FFR-positive and FFR-negative cases, yielding a sensitivity of 0.882 and specificity of 0.933 at a cutoff of 50% area reduction, with an AUC of 0.976. Lesions with less than 45% cross-sectional area stenosis on coronary CT angiography were not FFR-positive. When ROC analysis was conducted for lesion characteristics, AUC did not significantly improve. In conclusion, the percent coronary cross-sectional area stenosis measured using coronary CT angiography distinguished between FFR-positive and FFR-negative lesions with high accuracy. The severity of coronary cross-sectional area stenosis determined using CT angiography is clinically useful for predicting FFR.

## Full-text entities

- **Diseases:** coronary stenosis (MESH:D023921), stenoses (MESH:D003251)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

2 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12287366/full.md

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Source: https://tomesphere.com/paper/PMC12287366