Evidence map›Paper›PMID 41142881›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Future Applications for 3-dimensional Printed Virtual Surgical Planning in Microsurgery.

Orr Shauly, Makenna Ash, Josephine Buclez, Abdl-Rawf Al-Nowaylati

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 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

4 authors.

Orr ShaulyFrom the Emory Division of Plastics and Reconstructive Surgery, Atlanta, GA.
Makenna AshEmory School of Medicine, Atlanta, GA.
Josephine BuclezEmory School of Medicine, Atlanta, GA.
Abdl-Rawf Al-NowaylatiFrom the Emory Division of Plastics and Reconstructive Surgery, Atlanta, GA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Three-dimensional printing (3DP) has been used in many surgical specialties for virtual surgical planning, such as head and neck surgery, orthopedic surgery, and craniofacial surgery. A medical image is fed into modeling software, converted to a print file, and then printed from a variety of materials, usually soft or hard plastic. The result is a 3-dimensional model of the original image that can be used to guide preoperative and intraoperative decision-making. In microsurgery, computed tomography angiography is often used for virtual surgical planning to identify major vessels capable of supporting flaps. Despite this, actual anatomy may differ from the computed tomography-generated images, necessitating a change in intraoperative decision-making. Three-dimensional printing provides an opportunity to create accurate 3-dimensional replicas of abdominal vasculature for use in surgical planning. At least 1 study has shown that using 3DP models as guidelines results in decreased intraoperative decision-making in breast free flaps. Similar virtual surgical planning strategies in head and neck reconstructive surgery have been shown to result in overall decreased intraoperative decision-making, decreased procedure times, and improved microvascular ischemic time in free flaps. In summary, there are significant future applications of 3DP in microsurgery. Implementation of 3DP in microsurgery could reduce intraoperative changes to preoperative plan and decrease overall procedure time. Additionally, 3DP could be used to map where nerves course in 3-dimensional space, allowing the surgeon to identify landmarks for nerve preservation.

Identifiers

PMID41142881
PMCPMC12551723

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.