Evidence map›Paper›PMID 42773219›Full record

ArticleAnalytical and bioanalytical chemistry2026

Rapid serum-based differentiation of ovarian tumors and assessment of post-treatment disease-free status using portable Raman spectroscopy and machine learning.

Huan Wang, Jinhong Wang, Xingyue Gong, Yixuan Zhang, Siyuan Zhang, Yimin Han

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Article in Analytical and bioanalytical chemistry, 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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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.

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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.

Huan WangDepartment of Gynaecology, The Sixth Affiliated Hospital of Harbin Medical University, 998 Aiying Street, Songbei District, Harbin, Heilongjiang, 150023, People's Republic of China.
Jinhong WangDepartment of Gynaecology, The First Hospital of Harbin, Harbin, Heilongjiang, People's Republic of China.
Xingyue GongDepartment of Gynaecology, The Sixth Affiliated Hospital of Harbin Medical University, 998 Aiying Street, Songbei District, Harbin, Heilongjiang, 150023, People's Republic of China.
Yixuan ZhangDepartment of Gynaecology, The Sixth Affiliated Hospital of Harbin Medical University, 998 Aiying Street, Songbei District, Harbin, Heilongjiang, 150023, People's Republic of China.
Siyuan ZhangDepartment of Gynaecology, The Sixth Affiliated Hospital of Harbin Medical University, 998 Aiying Street, Songbei District, Harbin, Heilongjiang, 150023, People's Republic of China.
Yimin HanDepartment of Gynaecology, The Sixth Affiliated Hospital of Harbin Medical University, 998 Aiying Street, Songbei District, Harbin, Heilongjiang, 150023, People's Republic of China. hanyimin@hrbmu.edu.cn.ORCID http://orcid.org/0009-0002-0392-835X

Funding

National Natural Science Foundation of China 82472131
6 · The paper itself

Abstract

Rapid, low-cost tools for ovarian tumor discrimination and post-treatment assessment remain limited because conventional serum biomarkers such as CA125 have suboptimal sensitivity and specificity. Serum contains proteins, lipids, carbohydrates, and nucleic acids that generate disease-related spectrochemical fingerprints, which portable Raman spectroscopy can capture with minimal sample preparation. We investigated serum Raman profiling for ovarian tumor discrimination and cross-sectional characterization of post-treatment disease-free status. Serum samples from 280 participants (85 benign, 82 malignant, and 113 independent follow-up patients) were analyzed over 400-1800 cm⁻

Indexed as

Differential diagnosisMachine learningOvarian tumorPortable Raman spectroscopyPost-treatment status assessmentSerum fingerprinting

Identifiers

PMID42773219

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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.