Article Impact Level: HIGH Data Quality: STRONG Summary of New England Journal of Medicine https://doi.org/10.1056/NEJMoa2600949 Dr. William F. Fearon et al.
Points
- Researchers evaluated nearly two thousand patients across five countries to determine if AI-based software could replace invasive wires for measuring blood flow restriction in narrowed coronary arteries.
- The study found that FFRangio performed similarly to the gold standard with primary event rates of six point nine percent versus seven point one percent for invasive wires.
- The software-based method significantly reduced procedural complexity by eliminating the need for additional catheters and the administration of specialized medications required for traditional pressure measurements.
- Data confirmed that this three-dimensional computer modeling approach provided reliable physiological assessments for high-risk patients including those with diabetes or a previous history of heart attacks.
- These results suggest that adopting noninvasive software tools in the catheterization laboratory could improve adherence to treatment guidelines and lead to more accurate coronary intervention decisions globally.
Summary
This study evaluated the efficacy and noninferiority of FFRangio, a novel artificial intelligence-based software, compared to conventional invasive wire-based fractional flow reserve (FFR) for guiding percutaneous coronary intervention (PCI). The ALL-RISE trial addressed the low clinical adoption of physiological testing, which is often hindered by the additional procedural time, drug administration, and instrumentation required for wire-based measurements. Investigators sought to determine if 3D computational modeling of routine angiograms could provide comparable clinical outcomes without the need for further coronary manipulation or hyperemic agents.
In a randomized international trial involving 1,930 patients (average age 68; 75% men), the software-based strategy demonstrated clinical noninferiority to the pressure-wire gold standard. The primary composite endpoint—including all-cause mortality, myocardial infarction, or unplanned revascularization at one year—occurred in 6.9% of the FFRangio group versus 7.1% in the wire-based group. Notably, 40% of the cohort had diabetes and 17% had a history of myocardial infarction, yet the AI-derived assessments remained reliable across these high-risk subgroups. The computer-modeled approach was significantly faster to perform and eliminated the need for supplemental catheters or adenosine.
The results suggest that FFRangio is a viable, less invasive alternative for physiological assessment in the cardiac catheterization laboratory. By integrating seamlessly into the standard angiographic workflow, this technology may increase adherence to clinical guidelines that recommend physiological rather than purely visual assessment of intermediate lesions. While the study was unblinded and excluded prior bypass patients, the robust one-year outcomes establish a new benchmark for non-wire-based physiology. Future analyses will evaluate the potential cost-effectiveness of this software-driven approach compared to traditional invasive diagnostics.
Link to the article: https://www.nejm.org/doi/10.1056/NEJMoa2600949
References
Fearon, W. F., Jeremias, A., Witberg, G., Al-Lamee, R., Cohen, D. J., Kaki, A., Sharma, R. P., Yeh, R. W., Chehab, B. M., Kim, M. C., Otake, H., Tayal, R., Matsuo, H., McEntegart, M., Patel, A. K., Sandoval, Y., Al-Azizi, K. M., Dan, K., Razzouk, L., … Kirtane, A. J. (2026). Angiography-derived fractional flow reserve to guide pci. New England Journal of Medicine, NEJMoa2600949. https://doi.org/10.1056/NEJMoa2600949
