Evidence map›Paper›PMID 42686959›Full record

Articlenpj biomedical innovations2026

Terahertz-based prognostic framework for glioma: from spectral features to patient-level prognostic assessment.

Minghui Du, Rui Tao, Zhiyan Sun, Peiyuan Sun, Xianhao Wu, Yubo Wu, Tianyi Bi, Zhaohui Zhang, Xiaoyan Zhao, Dabiao Zhou and 1 more

Abstract read
In one paragraph

Article in npj biomedical innovations, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

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.

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

11 authors.

Minghui Du *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Rui Tao *Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhiyan SunDepartment of Gamma Knife, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Peiyuan SunDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xianhao WuSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
Yubo WuSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
Tianyi BiSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
Zhaohui ZhangSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China.
Xiaoyan ZhaoSchool of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China. zhaoxiaoyan@ustb.edu.cn.
Dabiao ZhouDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. dabiaozhou@163.com.
Pei YangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. peiyang87@163.com.

Funding

Beijing Municipal Natural Science Foundation L256038the 2nd Medical Technology Innovation and Entrepreneurship Competition of Beijing Tiantan Hospital 3-1-3-13-04the Beijing Municipal Administration of Hospitals Incubating Program PX2024019
6 · The paper itself

Abstract

In glioma, accurate prediction of recurrence and survival is essential for clinical decision-making and individualized management. However, current prognostic tools do not fully capture outcome heterogeneity, and convenient approaches for early postoperative prognostic evaluation are lacking. We investigated whether terahertz (THz) spectroscopy could provide label-free prognostic information. In this single-center retrospective study, 56 patients were assigned to training (n = 33) and held-out internal testing (n = 23) cohorts. A total of 443 frozen sections were measured using THz time-domain spectroscopy, and patient-level features were derived from six spectral parameters across 0.2-1.4 THz. Separate progression-free survival (PFS) and overall survival (OS) signatures were developed using univariable Cox screening, LASSO-Cox selection, and multivariable Cox modeling and validated in the testing cohort. The THz-based risk score (THz-RS) significantly stratified PFS and OS in both cohorts, showed good time-dependent discrimination, and retained prognostic value after multivariable adjustment for clinicomolecular variables. Model interpretation identified the 1.2-1.3 THz band (B11) as a major contributor, while targeted LC-MS/MS revealed associations between tissue glutamate abundance and B11-derived THz features, providing preliminary biochemical support for this spectral region. These findings support THz spectroscopy as a label-free complementary tool for perioperative prognostic assessment in glioma, pending validation in larger multicenter cohorts.

Identifiers

PMID42686959
PMCPMC13538544

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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.