Automated Fat-tissue Extraction for Preoperative Estimation of Profunda Artery Perforator Flap Weight in Breast Reconstruction: A Three-dimensional Computed Tomography-Based Analysis.

Shoko Okamura, Hajime Matsumine, Nozomu Akamine, Hiroyuki Sakurai

Abstract read

In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Shoko OkamuraFrom the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.

Hajime MatsumineFrom the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.

Nozomu AkamineFrom the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.

Hiroyuki SakuraiFrom the Department of Plastic and Reconstructive Surgery, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to establish an objective and reproducible method for estimating profunda artery perforator (PAP) flap weight by incorporating automated fat-tissue extraction using computed tomography (CT) attenuation thresholds. Thirty-two women who underwent breast reconstruction using PAP flaps were retrospectively analyzed. Preoperative CT data were processed using the Synapse Vincent system to generate 3-dimensional models. Adipose tissue in the flap region was automatically segmented using predefined Hounsfield unit thresholds (-150 to -50 HU). Predicted flap weight was calculated by assuming a fat density of 0.9 g/cm

Identifiers

PMID42751702

DOI10.1097/GOX.0000000000008063

PMCPMC13581358

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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.