ArticleBiomedical optics express2026
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.
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.
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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
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
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Registered trials
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.