A Novel Approach to Treat Coronary Chronic Total Occlusion: Balloon‐Assisted Revascularization—A Retrospective Study
Bibliographic record
Abstract
BACKGROUND: Percutaneous coronary intervention (PCI) for chronic total occlusion (CTO) remains a significant challenge and new techniques are needed for rapid and safe CTO recanalization. AIMS: To explore a novel balloon-assisted revascularization technique (BART) for successful management of CTO. METHODS: Patients who underwent CTO recanalization using BART between January 2020 and June 2022 were included in this study. The baseline clinical data, CTO vessel characteristics, and technical details were retrospectively analyzed. The procedure began with antegrade guidewire crossing of the CTO lesion. If contralateral angiography demonstrated the guidewire entering the subintimal space, a balloon was advanced along the guidewire and inflated. The inflated balloon served as a mechanical barrier to block antegrade blood flow to prevent hematoma formation, meanwhile providing back-up support facilitating the manipulation of a second guidewire for CTO penetration and final recanalization. RESULTS: A total of 32 consecutive patients who underwent the procedure were included in this study. The median J-CTO score was 2.5 with 26 patients (81.3%) having a J-CTO score ≥ 2. The right coronary artery was the most commonly affected vessel; 12 patients (37.5%) had BART as the first choice while 20 (62.5%) as an alternative after failure with other techniques. Technique and procedure success was achieved in 28 cases (87.5%). Procedure-associated complications included cardiac tamponade (n = 1), femoral artery hematoma (n = 1), and subintimal hematoma (n = 1). There were no major cardiac adverse events. CONCLUSION: BART is an effective and safe recanalization method for CTOs that are difficult to treat with other techniques, offering improved outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".