Evidence map›Paper›PMID 42786278›Full record

Articlenpj biomedical innovations2026

An integrated digital-to-surgical framework for patient-specific chest wall resection and reconstruction using 3D-printed titanium implants: proof-of-concept study.

Ira Goldsmith, Thomas Bragg, Aravindh Jayakumar, Peter Llewelyn Evans

Abstract read
In one paragraph

Article in npj biomedical innovations, 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

4 authors.

Ira GoldsmithDepartment of Cardiothoracic Surgery, Morriston Hospital, Swansea, Wales, UK. Ira.goldsmith@swansea.ac.uk.
Thomas BraggDepartment of Burns and Plastic Surgery, Morriston Hospital, Swansea, Wales, UK.
Aravindh JayakumarDepartment of Anaesthesia, Morriston Hospital, Swansea, Wales, UK.
Peter Llewelyn EvansMaxillofacial Laboratory Services, Morriston Hospital, Swansea, Wales, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patient-specific skeletal reconstruction of the chest wall following extensive resections that result in large, anatomically complex defects remains challenging using conventional reconstructive techniques. We describe an end-to-end digital-to-surgical workflow framework for patient-specific chest wall resection and reconstruction using three-dimensional (3D) printed titanium implants. The four-stage workflow integrates Computed Tomography (CT) imaging data, virtual 3D anatomical modelling, virtual tumour-margin planning, computer-aided implant design (CAD), stereolithographic prototype validation, and additive manufacturing using laser-powder bed fusion (L-PBF). High-resolution CT data in Digital Imaging and Communications in Medicine (DICOM) format were converted into patient-specific 3D-rendered models of the chest wall and tumour to enable virtual delineation of tumour extent and digitally planned resection margins. These digital resection models were then used to design anatomically matched patient-specific implants. Implant designs were validated using stereolithographic prototypes before definitive manufacture in titanium alloy. The workflow underwent clinical feasibility evaluation in six consecutive patients requiring major chest wall resection and reconstruction. Across all cases, digitally planned resections and reconstructions were performed without intraoperative modification. The implants demonstrated accurate anatomical fit, secure fixation, and satisfactory restoration of chest wall anatomy. During the available follow-up period ranging from 5 months to 5 years, no implant failures or implant-related complications were observed. Two patients who underwent reconstruction for palliation subsequently died from progression of their underlying disease. This proof-of-concept single-centre study demonstrates the clinical feasibility of a digital-to-surgical workflow and provides a foundation for future multicentre evaluation.

Identifiers

PMID42786278
PMCPMC13612476

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.