Evidence mapPaperPMID 42460339Full record

ArticleBiomedical optics express2026

Yiting Tan, Ao Jiang, Yuxuan Liang, Heng Zhang, Yeling Ma, Liang Dong, Pingping Wang

Abstract read
In one paragraph

Article in Biomedical optics express, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yiting TanDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Ao JiangDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Yuxuan LiangDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Heng ZhangDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Yeling MaDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Liang DongDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.
Pingping WangDepartment of Clinical Medicine, School of Medicine, Shaoxing University, Shaoxing, Zhejiang, China.ORCID https://orcid.org/0009-0000-3614-8339

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malignant melanoma tends to metastasize early, and its prognosis is extremely poor and life-threatening in advanced stages. Tumor size and lesion thickness are the most common imaging parameters used to detect melanoma. While changes in mechanical properties during the disease process are closely related to the tumor's basic composition and cellular activity, and are directly linked to its invasiveness and metastatic potential. Here, we present a dual-modality imaging system that combines photoacoustic absorption imaging (PAI) and photoacoustic viscoelasticity imaging (PAVEI) for the staging biopsies of melanoma. The tumor size and thickness can be accurately evaluated by PAI, and PAVEI helps to characterize the tumor viscoelasticity through the phase delay of photoacoustic signals. Experimental results demonstrate that the PAI-PAVEI system can comprehensively characterize the absorption characteristics and mechanical properties of tumor lesions, thereby providing essential reference for the early diagnosis, staging assessment, and efficacy prediction of melanoma.

Identifiers

PMID42460339
PMCPMC13372355

What Socratic holds

Textmetadata
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 Socratic graph.