Evidence map›Paper›PMID 38864937›Full record

Article3D printing in medicine2024

Desktop 3D printed anatomic models for minimally invasive direct coronary artery bypass.

Prashanth Ravi, Michael B Burch, Andreas A Giannopoulos, Isabella Liu, Shayne Kondor, Leonid L Chepelev, Tommaso H Danesi, Frank J Rybicki, Antonio Panza

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in 3D printing in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

9 authors.

Prashanth RaviDepartment of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA. raviph@ucmail.uc.edu.
Michael B BurchDepartment of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA.
Andreas A GiannopoulosDepartment of Nuclear Medicine, University Hospital Zurich, Zurich, Switzerland.
Isabella LiuDepartment of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA.
Shayne KondorDepartment of Radiology, University of Cincinnati, 3188 Bellevue Ave, PO Box 670761, Cincinnati, OH, 45267-0761, USA.
Leonid L ChepelevDepartment of Radiology, University of Toronto, Toronto, ON, Canada.
Tommaso H DanesiHeart and Vascular Center, Brigham and Women's Hospital, Boston, MA, USA.
Frank J RybickiDepartment of Radiology, University of Arizona, Phoenix, AZ, USA.
Antonio PanzaDivision of Cardiac Surgery, Department of Surgery, University of Cincinnati, Cincinnati, OH, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThree-dimensional (3D) printing technology has impacted many clinical applications across medicine. However, 3D printing for Minimally Invasive Direct Coronary Artery Bypass (MIDCAB) has not yet been reported in the peer-reviewed literature. The current observational cohort study aimed to evaluate the impact of half scaled (50% scale) 3D printed (3DP) anatomic models in the pre-procedural planning of MIDCAB.

methodsRetrospective analysis included 12 patients who underwent MIDCAB using 50% scale 3D printing between March and July 2020 (10 males, 2 females). Distances measured from CT scans and 3DP anatomic models were correlated with Operating Room (OR) measurements. The measurements were compared statistically using Tukey's test. The correspondence between the predicted (3DP & CT) and observed best InterCostal Space (ICS) in the OR was recorded. Likert surveys from the 3D printing registry were provided to the surgeon to assess the utility of the model. The OR time saved by planning the procedure using 3DP anatomic models was estimated subjectively by the cardiothoracic surgeon.

resultsAll 12 patients were successfully grafted. The 3DP model predicted the optimal ICS in all cases (100%). The distances measured on the 3DP model corresponded well to the distances measured in the OR. The measurements were significantly different between the CT and 3DP (p < 0.05) as well as CT and OR (p < 0.05) groups, but not between the 3DP and OR group. The Likert responses suggested high clinical utility of 3D printing. The mean subjectively estimated OR time saved was 40 min.

conclusionThe 50% scaled 3DP anatomic models demonstrated high utility for MIDCAB and saved OR time while being resource efficient. The subjective benefits over routine care that used 3D visualization for surgical planning warrants further investigation.

Indexed as

Half-scaled anatomic modelLikert assessmentMedical 3D printingMedical additive manufacturingMinimally invasive coronary artery bypassOperative room time reductionPre-surgical planning

Identifiers

PMID38864937
PMCPMC11167900

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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.