Evidence map›Paper›PMID 39619295›Full record

ArticleJPRAS open2024

Semiautomatic Quantitative Assessment of DIEP Flap Volume and Thickness for Breast Reconstruction using CTA Data and Implications in Postoperative Complications.

María A Cerón Hurtado, Sergi Barrantes, Antonio Sánchez Egea, Farners Armengol Siñol, Hernán González Rojas, Anna Padullés-Escarré, Jose A Jerez-Gonzalez, Anna López Ojeda, Joan Fontdevila Font

Abstract read
In one paragraph

Article in JPRAS open, 2024. 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

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

1 citing paper in PubMed.

  1. Article
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.

María A Cerón HurtadoDepartment of Mechanical Engineering, Polytechnic University of Catalunya, Barcelona, Spain. (Av. de Víctor Balaguer, 1, 08800 Vilanova i la Geltrú, Barcelona, Spain).
Sergi BarrantesDepartment of Plastic & Reconstructive Surgery, Bellvitge University Hospital, Barcelona, Spain.
Antonio Sánchez EgeaDepartment of Mechanical Engineering, Polytechnic University of Catalunya, Barcelona, Spain. (Av. de Víctor Balaguer, 1, 08800 Vilanova i la Geltrú, Barcelona, Spain).
Farners Armengol SiñolDepartment of Plastic & Reconstructive Surgery, Bellvitge University Hospital, Barcelona, Spain.
Hernán González RojasDepartment of Mechanical Engineering, Polytechnic University of Catalunya, Barcelona, Spain. (Av. de Víctor Balaguer, 1, 08800 Vilanova i la Geltrú, Barcelona, Spain).
Anna Padullés-EscarréDepartment of Plastic & Reconstructive Surgery, Bellvitge University Hospital, Barcelona, Spain.
Jose A Jerez-GonzalezNursing Research Group GRIN-IDIBELL, Bellvitge University Hospital, Barcelona, Spain.
Anna López OjedaDepartment of Plastic & Reconstructive Surgery, Bellvitge University Hospital, Barcelona, Spain.
Joan Fontdevila FontDepartment of Plastic & Reconstructive Surgery, Hospital Clínic de Barcelona, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurately assessing flap volume and thickness is a crucial aspect of breast reconstruction using the deep inferior epigastric perforator (DIEP) flap, especially in challenging cases such as thin or large-breasted women or bilateral reconstruction. To address this, we present an innovative image processing tool utilizing computed tomography angiography (CTA) to measure DIEP flap volume and thickness. Our approach incorporates an elliptical equation validated on DIEP reconstruction patients. Preoperative abdominal CTA images were obtained from 70 patients who underwent DIEP flap breast reconstruction at Hospital Universitari de Bellvitge from 2017 to 2021. The image processing tool was employed for preoperative quantification, utilizing elliptical approximations, to determine the volume to be harvested and assess the central thickness of the flap. Subsequently, a non-parametric statistical retrospective analysis was conducted to examine these parameters in relation to immediate complications. The mean maximum recruitable volume (MRV) was 1017.15 ± 325.51 cm³, with a mean thickness of 3.65 ± 1.14 cm. No significant correlation was found between postoperative complications and MRV or thickness values. The processing tool offers a reliable solution for accurately measuring the volume and thickness of the DIEP flap from CTA images, aiding surgeons in breast reconstruction decision-making. This innovative approach enhances surgical planning by addressing quantitative values of thickness and volume of the DIEP flap, which is critical for accurate flap assessment.

Indexed as

3D planningComputed tomography angiographyDIEP flapImage processing algorithmPerforator flap planning

Identifiers

PMID39619295
PMCPMC11605288

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.