Evidence map›Paper›PMID 42254367›Full record

ReviewFrontiers in medicine2026

Research progress in imaging detection of brain metastases.

Yichen Wang, Chenqi Liang, Wuzhe Liu, Wei Wang, Dongxiang Wang, Daobo Dong, Qingbei Lian

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 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

7 authors.

Yichen Wang *School of Clinical and Basic Medicine, Shandong First Medical University, Tai'an, China.
Chenqi Liang *School of Radiology, Shandong First Medical University, Tai'an, China.
Wuzhe LiuSchool of Radiology, Shandong First Medical University, Tai'an, China.
Wei WangSchool of Clinical and Basic Medicine, Shandong First Medical University, Tai'an, China.
Dongxiang WangSchool of Radiology, Shandong First Medical University, Tai'an, China.
Daobo DongDepartment of Radiology, Shandong University of Traditional Chinese Medicine Affiliated Hospital, Jinan, China.
Qingbei LianDepartment of Neurosurgery, Shandong Second Provincial General Hospital, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastasis (BM) is a common and severe complication of advanced cancer, and early, accurate diagnosis is critical to improving patient outcomes. This study comprehensively analyzes the characteristics of various imaging techniques for detecting BM. Conventional magnetic resonance imaging (MRI) remains the primary diagnostic method due to its high soft-tissue resolution, while advanced MRI techniques have improved the detection of small lesions. Computed tomography (CT) is valuable for rapid emergency assessment but is limited by lower soft-tissue resolution and radiation exposure. PET imaging offers unique advantages in functional imaging and treatment response differentiation, though constrained by signal-to-noise ratio limitations. Multimodal fusion techniques (e.g., PET/CT, PET/MRI) integrate anatomical and functional information to enhance diagnostic sensitivity and specificity. Furthermore, radiomics and AI extract high-dimensional features and construct predictive models, enabling precise identification and personalized treatment. This article reviews the progress and clinical applications of these imaging techniques.

Indexed as

advanced MRI sequencebrain metastasesMRImultimodal fusion technologyPET

Identifiers

PMID42254367
PMCPMC13237670

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Registered trials

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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.