Evidence map›Paper›PMID 42820010›Full record

ArticleChemical & biomedical imaging2026

Lipid Metabolism-Related Rapid Pathological Diagnosis and Staging of Breast Tissue Sections Using Two-Photon Fluorescence Imaging Assisted with a Carbonized Polymer Dot Probe.

Zitong Yu, Jiaqi Wang, Ying Liu, Weiqing Xu, Bing Han, Shuping Xu

Abstract read
In one paragraph

Article in Chemical & biomedical imaging, 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

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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

6 authors.

Zitong YuState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China.
Jiaqi WangState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China.
Ying LiuDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, P. R. China.
Weiqing XuState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China.ORCID https://orcid.org/0000-0002-1947-317X
Bing HanDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun 130021, P. R. China.
Shuping XuState Key Laboratory of Supramolecular Structure and Materials, College of Chemistry, Jilin University, Changchun 130012, P. R. China.ORCID https://orcid.org/0000-0002-6216-6175

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and accurate intraoperative pathologic diagnosis is essential for intraoperative decision-making, improving patient prognosis, and avoiding reoperation. This study developed a unique rapid pathological diagnosis and staging technique for intraoperative tissue sections based on lipidomic relevance, using two-photon fluorescence (TPF) imaging assisted by a lipid-targeted carbonized polymer dot (CPD) probe (∼8 nm) and multiple classification algorithms, including machine learning and deep convolutional networks. This platform enables ultrabright TPF imaging in response to lipid microenvironments and can be completed within 10 min. Its feasibility was validated through rapid diagnostics of intraoperative frozen sections of breast tissues. Due to abnormal levels of lipid metabolism, normal breast tissues and pathologically staged I-III cancerous tissues were well distinguishable, and the sensitivities and specificities for pathologic diagnosis were all above 90%. The combination of CPD and TPF microscopy provides a rapid and accurate method for detecting lipidomes in pathological frozen sections, marking a significant advancement over hematoxylin and eosin (H&E)-staining-based pathological diagnosis in terms of speed, ease of operation, and relevance to chemical components. This study is vital for advancing lipidome-related research and enhancing the understanding of the lipidomic atlas.

Indexed as

Carbonized polymer dotconvolutional neural networksintraoperative rapid pathologymachine learningtwo-photon fluorescence

Identifiers

PMID42820010
PMCPMC13625745

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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.