Evidence map›Paper›PMID 42889882›Full record

ArticleBiomedical optics express2026

Label-free, multiphoton microscopy-based strategy for intraoperative grading of lung adenocarcinoma via quantitative extracellular matrix analysis.

Houqiang Li, Shouzhi Wang, Qiming He, Qianshun Chen, Jianping Huang, Zhan Zhuang, Kangmei Tong, Xunbin Yu, Lan Lin, Xiyao Yan and 4 more

Abstract read
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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.

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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

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

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

14 authors.

Houqiang LiDepartment of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Shouzhi WangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.
Qiming HeInterdisciplinary Institute for Medical Engineering, Fuzhou University, Fuzhou, China.
Qianshun ChenDepartment of Thoracic Surgery, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Jianping HuangKey Laboratory of Opto Electronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.
Zhan ZhuangDepartment of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Kangmei TongDepartment of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Xunbin YuDepartment of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Lan LinDepartment of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Xiyao YanDepartment of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.
Jianxin ChenKey Laboratory of Opto Electronic Science and Technology for Medicine of Ministry of Education, Fujian Provincial Key Laboratory of Photonics Technology, Fujian Normal University, Fuzhou, China.ORCID https://orcid.org/0000-0001-8519-4462
Shu WangSchool of Mechanical Engineering and Automation, Fuzhou University, Fuzhou, China.ORCID https://orcid.org/0000-0003-0829-5694
Xu LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xin ChenDepartment of Pathology, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung adenocarcinoma (LUAD) requires accurate subtyping for prognosis and treatment, yet conventional histopathology is time-consuming and subjective. This study applies label-free multiphoton microscopy (MPM) to quantify extracellular matrix remodeling, imaging collagen via SHG and elastin via TPEF in 88 specimens from 72 patients. We introduce a SHG/TPEF ratio (STR) system to assess tumor invasiveness. Results show progressive "fiber desertification," reduced fiber content, and decreased collagen alignment in high-grade LUAD subtypes. STR metrics strongly correlate with pathological grading and effectively distinguish aggressive patterns. This MPM-based framework enables rapid, objective intraoperative identification of high-grade LUAD, improving diagnostic precision and clinical decision-making.

Identifiers

PMID42889882
PMCPMC13671701

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