Evidence map›Paper›PMID 38867971›Full record

ArticleHeliyon2024

3D printing in anatomical lung segmentectomies: A randomized pilot trial.

Madalina Grigoroiu, Jean-François Paul, Emmanuel Brian, Philippe Aegerter, Guillaume Boddaert, Alessio Mariolo, Pierre Jorrot, Mouloud Bellahoues, Agathe Seguin-Givelet, Vittorio Perduca

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

10 authors.

Madalina GrigoroiuInstitut Mutualiste Montsouris, Institut Du Thorax Curie-Montsouris, 42, Boulevard Jourdan, 75014, Paris, France.
Jean-François PaulInstitut Mutualiste Montsouris, Département de Radiologie, 42, Boulevard Jourdan, 75014, Paris, France.
Emmanuel BrianInstitut Mutualiste Montsouris, Institut Du Thorax Curie-Montsouris, 42, Boulevard Jourdan, 75014, Paris, France.
Philippe AegerterGIRCI-IDF, Cellule Méthodologie, 4, Av Richerand, 75010, Paris, France.
Guillaume BoddaertInstitut Mutualiste Montsouris, Institut Du Thorax Curie-Montsouris, 42, Boulevard Jourdan, 75014, Paris, France.
Alessio MarioloInstitut Mutualiste Montsouris, Institut Du Thorax Curie-Montsouris, 42, Boulevard Jourdan, 75014, Paris, France.
Pierre JorrotInstitut Mutualiste Montsouris, Département de Rythmologie, 42, Boulevard Jourdan, 75014. Paris, France.
Mouloud BellahouesInstitut Mutualiste Montsouris, Département de Recherche Clinique, 42, Boulevard Jourdan, 75014, Paris, France.
Agathe Seguin-GiveletInstitut Mutualiste Montsouris, Institut Du Thorax Curie-Montsouris, 42, Boulevard Jourdan, 75014, Paris, France.
Vittorio PerducaUniversité Paris Cité, CNRS, MAP5, 44, Rue des Saint Pères, 75006, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This pilot study evaluated the impact of using a 3D printed model of the patient's bronchovascular lung anatomy on the mental workload and fatigue of surgeons during full thoracoscopic segmentectomy. Design: We performed a feasibility pilot study of a prospective randomized controlled trial with 2 parallel arms. All included patients underwent digital 3D visual reconstruction of their bronchovascular anatomy and were randomized into the following two groups: Digital arm (only a virtual 3D model was available) and Digital + Object arm (both virtual and printed 3D models were available). The primary end-point was the surgeons' mental workload measured using the National Aeronautics and Space Administration-Task Load Index (NASA-TLX) score. Setting: Between October 28, 2020 and October 05, 2021, we successively investigated all anatomic segmentectomies performed via thoracoscopy in the Thoracic Department of the Montsouris Mutualiste Institute, except for S6 segmentectomies and S4+5 left bi-segmentectomies. Participants: We assessed 102 patients for anatomical segmentectomy. Among the, 40 were randomly assigned, and 34 were deemed analysable, with 17 patients included in each arm. Results: Comparison of the two groups, each comprising 17 patients, revealed no statistically significant difference in primary or secondary end-points. The consultation of the visual digital model was significantly less frequent when a 3D printed model was available (6 versus 54 consultations, p = 0.001). Notably, both arms exhibited high NASA-TLX scores, particularly in terms of mental demand, temporal demand, and effort scores. Conclusion: In our pilot study, 3D printed models and digital 3D reconstructions for pre-operative planning had an equivalent effect on thoracoscopic anatomic segmentectomy for experienced surgeons. The originality of this study lies in its focus on the impact of 3D printing of bronchovascular anatomy on surgeons, rather than solely on the surgical procedure.

Identifiers

PMID38867971
PMCPMC11168317

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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.