Evidence map›Paper›PMID 40319059›Full record

ArticleScientific reports2025

Assessing subcutaneous changes in lymphedema by subcutaneous tissue ultrasonography and pathological association.

Parkpoom Piyaman, Panitta Sitthinamsuwan, Sirin Apichonbancha, Nutcha Yodrabum

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Parkpoom PiyamanDepartment of Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Panitta SitthinamsuwanDepartment of Pathology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Sirin ApichonbanchaDivision of Plastic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Nutcha YodrabumDivision of Plastic Surgery, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. n.yodrabum@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The subcutaneous changes of lymphedema, collectively termed "adipose tissue remodeling", comprises adipocyte hypertrophy, inflammatory cell infiltration, fibrosis, etc. To detect these changes, subcutaneous tissue ultrasonography was developed using conventional high-frequency ultrasound (6-18 MHz) to assess 2 parameters: (1) subcutaneous echogenicity (SEG) and (2) subcutaneous echo-free space (SEF). Despite its potential, research on the histopathological associations and clinical applications of this modality remains limited. This study recruited 22 patients with secondary lymphedema involving upper and lower limbs who were undergoing lymphaticovenular anastomosis (LVA). SEG and SEF were graded at 46 surgical sites. While performing LVA, 46 pieces of skin, 46 aggregates of subcutaneous tissue, and 100 segments of collecting lymph vessels were biopsied for pathological evaluation. The results showed that the presence of adipose tissue remodeling associated with progression of SEG and SEF grades. On the other hand, severity of lymphatic vessels showed no association with progression of SEG and SEF grades but surprisingly showed an inverse trend with the presence of adipose tissue remodeling. SEG grade, SEF grade and clinical stage (ISL) show similarly high sensitivity for detecting adipose tissue remodeling, but none of them show sufficient specificity. The application of subcutaneous tissue ultrasonography is suitable for screening of the adipose tissue remodeling.

Indexed as

LymphedemaSubcutaneous FatSubcutaneous TissueAdultAgedFemaleHumansLymphatic VesselsMaleMiddle AgedUltrasonographyAdipose tissue remodelingLymphaticovenular anastomosisLymphedemaSubcutaneous echo-free space (SEF)Subcutaneous echogenicity (SEG)Subcutaneous tissue ultrasonography

Identifiers

PMID40319059
PMCPMC12049483

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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.