Evidence map›Paper›PMID 42520080›Full record

ArticlePloS one2026

Development and validation of a photogrammetry-based preoperative method (BREAST-E) for quantitative breast morphometric analysis and volume estimation of breast in reconstructive surgery.

Mee Hoong See, Kwan Hoong Ng, Teng Aik Ong, Lai Kuan Wong, Lee Lee Lai, Sheng Pu Teo, Jing Hui Ng, Jia Min Tneoh, Mahmoud Danaee

Abstract readValidation Study
In one paragraph

Article in PloS one, 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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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mee Hoong SeeBreast and Endocrine Surgery Unit, Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-3966-3368
Kwan Hoong NgDepartment Biomedical Imaging, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-8707-914X
Teng Aik OngSurgery Department, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-0207-8966
Lai Kuan WongFaculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia.ORCID https://orcid.org/0000-0002-4517-0391
Lee Lee LaiBreast and Endocrine Surgery Unit, Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Sheng Pu TeoFaculty of Computing and Informatics, Multimedia University, Cyberjaya, Selangor, Malaysia.
Jing Hui NgBreast and Endocrine Surgery Unit, Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.
Jia Min TneohBreast and Endocrine Surgery Unit, Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0009-0001-2391-9955
Mahmoud DanaeeDepartment of Social and Preventive Medicine, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.ORCID https://orcid.org/0000-0002-5014-5684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe demand for reproducible, reliable, and cost-effective tools regarding preoperative breast surgery planning is significant in low- and middle-income countries (LMICs) due to limited advanced imaging access, insufficient standardisation, and high cost. This study developed the BREAST-E technique for accurate and standardised breast volume analysis. METHODOLOGY: A photogrammetry method assessed four ptosis levels: (i) no-ptosis, (ii) mild, [Watterson PA, et al. Plastic and Reconstructive Surgery. 1995;95:1185-94] moderate, and (iv) severe. Key parameters included marker counts (20, 40, and 60), photo angles (10°, 20°, and 30°), and offset adjustments (-0.01, 0, and +0.01). Two-dimensional (2D) images were converted into 3D models via Photomodeler for volume estimation. Clinical validation involved 12 patients (13 breasts) undergoing mastectomy, comparing estimated breast volumes to mastectomy specimens. The primary endpoint was accuracy of volume estimation compared with mastectomy specimen volume, while secondary endpoints included reliability, agreement, and workflow feasibility.

resultsThe BREAST-E technique yielded promising accuracy [Pearson correlation coefficient (R) = 0.899 and mean absolute error (MAE) = 98.12 mL] and encouraging reliability (ICC = 0.995-0.996) across ptosis levels. Bland-Altman analysis indicated negligible bias, while Cronbach's alpha (reaching 0.994) demonstrated robust internal consistency. Clinical validation also implied strong performance (R = 0.789, MAE = 104.69 mL, and mean error = -27.00 mL). Consequently, no-ptosis presented the highest reliability (ICC = 0.81 and Cronbach's alpha = 0.92) with minimal bias, whereas moderate and severe ptosis levels demonstrated greater variability.

conclusionThis study successfully indicated that a reproducible, accessible, and cost-effective method for analysing breast volume was accomplished through the proposed BREAST-E technique for LMICs.

Indexed as

BreastMammaplastyPhotogrammetryAdultFemaleHumansImaging, Three-DimensionalMastectomyMiddle AgedOrgan SizeReproducibility of Results

Identifiers

PMID42520080
PMCPMC13411864

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