Evidence map›Paper›PMID 41109995›Full record

ArticleJACC. Case reports2025

Personalized Patient-Specific Patch Augmentation Using Virtual Surgical Planning.

Sassan Hashemi, Ryan A Moore, Kelvin Mantey, David L S Morales, Awais Ashfaq

Abstract readCase Reports
In one paragraph

Article in JACC. Case reports, 2025. 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

5 authors.

Sassan HashemiDivision of Cardiothoracic Surgery, The Heart Institute, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA. Electronic address: sassan.hashemi@cchmc.org.
Ryan A MooreDepartment of Pediatric Cardiology, The Heart Institute, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA.
Kelvin ManteyDivision of Cardiothoracic Surgery, The Heart Institute, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA.
David L S MoralesDivision of Cardiothoracic Surgery, The Heart Institute, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA.
Awais AshfaqDivision of Cardiothoracic Surgery, The Heart Institute, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe management of coarctation associated with long-segment aortic arch hypoplasia (AAH) remains challenging, especially in preterm babies. CASE SUMMARY: A preterm female infant born at 34 weeks of gestation with a birth weight of 1.41 kg presented with prenatally diagnosed coarctation and long-segment transverse AAH, which were confirmed on echocardiography and computed tomography angiography. We performed virtual surgical planning (VSP) to simulate the proposed aortic arch advancement and patch augmentation and designed an appropriate patch. The patch was flattened and used in the operating room as a guide. The arch was repaired with a slightly modified version of the patch. Postoperative imaging showed no residual obstruction. DISCUSSION: There is variable consensus on how to manage coarctation with associated AAH. VSP enables precise preoperative visualization and a tailored personalized surgical approach. TAKE-HOME MESSAGES: Patient-specific VSP is gaining momentum in congenital heart surgery. It can refine the surgical approach and may lower complications in long-segment AAH repair.

Indexed as

aortic coarctationcomputed tomographycongenital heart defectimagingpediatric surgery

Identifiers

PMID41109995
PMCPMC12714508

What OpenQuestion holds

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Registered trials

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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.