Evidence map›Paper›PMID 41972082›Full record

ArticleQuantitative imaging in medicine and surgery2026

Improving small brain metastasis detection with composite and augmented T

Xue Liang, Zhengyang Zhu, Chuanshuai Tian, Xueying He, Yunfei Zhang, Shaofeng Duan, Yichen Wang, Zhengge Wang, Xin Zhang, Bing Zhang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Quantitative imaging in medicine and surgery, 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

10 authors.

Xue Liang *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Zhengyang Zhu *Department of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Chuanshuai TianDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Xueying HeDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Yunfei ZhangCentral Research Institute, United Imaging Healthcare, Shanghai, China.
Shaofeng DuanCollaborative Innovation Department, United Imaging Health Care Group Co., Ltd., Shanghai, China.
Yichen WangCollaborative Innovation Department, United Imaging Health Care Group Co., Ltd., Shanghai, China.
Zhengge WangDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Xin ZhangDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Bing ZhangDepartment of Radiology, Nanjing Drum Tower Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Contrast-enhanced T Methods: This prospective study recruited patients with suspected intracranial metastases who underwent contrast-enhanced MRI with both MULTIPLEX and MPRAGE-T Results: A total of 47 patients (55±7 years; 22 males) were included in the study, 20 of whom were diagnosed with brain metastases by two radiologists. Compared with MPRAGE-T Conclusions: MULTIPLEX-derived cT

Indexed as

brain metastasesclinical oncologyMagnetic resonance imaging (MRI)multi-parametric magnetic resonance imaging

Identifiers

PMID41972082
PMCPMC13066885

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.