Evidence map›Paper›PMID 40507288›Full record

ArticleCancers2025

Development of a Digital Application Program Based on an Institutional Algorithm Sustaining the Decisional Process for Breast Reconstruction in Patients with Large and Ptotic Breasts: A Pilot Study.

Federico Ziani, Andrea Pasteris, Chiara Capruzzi, Emilio Trignano, Silvia Rampazzo, Martin Iurilli, Corrado Rubino

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

1 citing paper in PubMed.

  1. Article
4 · The record

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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

7 authors.

Federico ZianiDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Andrea PasterisDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Chiara CapruzziDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Emilio TrignanoDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.
Silvia RampazzoDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-3095-9402
Martin IurilliDepartment of Plastic and Reconstructive Surgery, University of Trieste, 34127 Trieste, Italy.ORCID 0009-0007-4634-2582
Corrado RubinoDepartment of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy.ORCID 0000-0002-2410-6083

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesImmediate implant-based breast reconstruction is an established option for selected patients undergoing mastectomy. However, patients with large and ptotic breasts present specific reconstructive challenges, often requiring tailored approaches to minimize complications and optimize aesthetics. This pilot study aimed to evaluate the clinical feasibility and effectiveness of a mobile application developed to support intraoperative decision-making based on an institutional algorithm for breast reconstruction. It is also important to underline that this pilot study was exploratory in nature and primarily aimed at assessing feasibility and adherence to an app-based decision pathway, rather than comparative efficacy.

methodsWe conducted a prospective observational study from October 2023 to December 2024 at the University Hospital of Sassari. Female patients with large and ptotic breasts undergoing immediate implant-based reconstruction were included. A mobile app, developed using MIT App Inventor 2, implemented our institution's algorithm and guided surgeons through both preoperative and intraoperative decision-making. Surgical options included subpectoral, prepectoral with autologous fascial flaps, or prepectoral with acellular dermal matrix (ADM) reconstruction, depending on flap thickness and fascia integrity.

resultsSixteen patients (21 reconstructed breasts) were included. Surgical planning and execution followed app-generated recommendations in all cases, with no intraoperative deviations. Subpectoral reconstruction was performed in six patients, prepectoral with ADM in eight, and prepectoral with fascial flaps in two. The app was rated positively by all surgeons and facilitated consistent decision-making.

conclusionsThe proposed mobile application, described in this pilot study, proved to be a feasible and effective decision-support tool for implant-based breast reconstruction in patients with challenging anatomy. It standardized surgical choices, supported training, and has the potential to enhance reproducibility and safety in complex reconstructive procedures.

Indexed as

clinical decision support system (CDSS)immediate breast reconstructionmammoplastymastectomyreconstructive algorithm

Identifiers

PMID40507288
PMCPMC12153710

What Socratic holds

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LicenceCC BY
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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 Socratic graph.