Evidence map›Paper›PMID 42680983›Full record

ReviewCardiovascular intervention and therapeutics2026

Digital stent enhancement for coronary stent optimization during PCI: evidence, applications, and future directions.

Sara Corradetti, Carlos Collet, Nikolaos Stalikas, Anthony Kechichian, Dimitri Buytaert, Taito Arai, Masahiro Hada, Daniel Munhoz, Emanuele Barbato, Jeroen Sonck and 1 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cardiovascular intervention and therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Sara CorradettiCardiovascular Center Aalst, AZORG, Aalst, Belgium. corradettisara@gmail.com.ORCID http://orcid.org/0000-0002-6588-4906
Carlos ColletClinical Trial Center, Cardiovascular Research Foundation, New York, USA.
Nikolaos StalikasCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Anthony KechichianCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Dimitri BuytaertCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Taito AraiCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Masahiro HadaCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Daniel MunhozCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Emanuele BarbatoDepartment of Clinical and Molecular Medicine, Sapienza University, Via Giorgio Nicola Papanicolau, Rome, 00189, Italy.
Jeroen SonckCardiovascular Center Aalst, AZORG, Aalst, Belgium.
Adriaan WilgenhofCardiovascular Center Aalst, AZORG, Aalst, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stent underexpansion remains a major contributor to restenosis and stent thrombosis following percutaneous coronary intervention (PCI), yet intravascular imaging is not used routinely in many settings. Digital stent enhancement (DSE) offers an angiography-based approach to improve visualization of metallic stents through real-time image processing, enabling rapid assessment of stent expansion and deployment abnormalities. In this review, we describe the underlying principles and commercially available DSE systems, summarize diagnostic performance data with emphasis on detection of stent underexpansion, and highlight where DSE may complement IVUS and OCT. Finally, we review emerging innovations, including three-dimensional stent reconstruction, and propose future research priorities to define clinical impact.

Indexed as

Digital stent enhancementEnhanced stent imagingPercutaneous coronary interventionStent underexpansionStent visualization

Identifiers

PMID42680983

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.