Evidence map›Paper›PMID 40204279›Full record

ArticleAnalytical chemistry2025

Self-Calibrated Stimulated Raman Scattering Spectroscopy for Rapid Cholangiocarcinoma Diagnosis.

Jin Guo, Lingfu Zhang, Qiaozhi Yu, Yafeng Qi, Haojie Zhang, Lan Zhang, Chunhui Yuan, Muxing Li, Hanqing Xiong

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. 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

9 authors.

Jin GuoNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0009-0003-1129-6177
Lingfu ZhangDepartment of General Surgery, Peking University Third Hospital, Beijing 100191, China.
Qiaozhi YuNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China.
Yafeng QiNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China.
Haojie ZhangNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China.
Lan ZhangSchool of Biomedical Engineering and Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China.
Chunhui YuanDepartment of General Surgery, Peking University Third Hospital, Beijing 100191, China.
Muxing LiDepartment of General Surgery, Peking University Third Hospital, Beijing 100191, China.
Hanqing XiongNational Biomedical Imaging Center, College of Future Technology, Peking University, Beijing 100871, China.ORCID 0000-0002-4408-3763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cholangiocarcinoma (CCA) is an aggressive malignancy with poor clinical outcomes. The current "gold standard" diagnostic approach, endoscopic retrograde cholangiopancreatography (ERCP)-obtained biopsy, has a relatively low sensitivity (i.e., ∼50%). Here, we developed a bile-based diagnostic system using transient stimulated Raman scattering (T-SRS). Except for the tolerance to autofluorescence inherited from traditional SRS spectroscopy, T-SRS features quantum-limit spectral line shapes and is further improved with self-calibration ability in this research. These advantages make the acquired Raman spectra insensitive to the drifting of the excitation parameters, facilitating long-term reliability. Based on the T-SRS spectra in the C-H stretching region from 76 bile samples accumulated over more than 1 year, we demonstrated high accuracy (i.e., 85 ± 3%) and sensitivity (i.e., 87 ± 9%) for classification between CCA and benign diseases. The T-SRS acquisition only requires ∼9-μL bile samples and features a drastically improved time cost. This study suggests that the self-calibrated T-SRS analysis of the bile sample offers a promising approach for rapid CCA diagnosis.

Indexed as

Bile Duct NeoplasmsCholangiocarcinomaSpectrum Analysis, RamanBileCalibrationHumans

Identifiers

PMID40204279
PMCPMC12020738

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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.