Evidence map›Paper›PMID 41897659›Full record

ArticleDiagnostics (Basel, Switzerland)2026

Can 3D T1 Post-Contrast MRI in A Radiomics-Machine Learning Model Distinguish Infective from Neoplastic Ring-Enhancing Brain Lesions? An Exploratory Study.

Edwin Chong Yu Sng, Minh Bao Kha, Min Jia Wong, Nicholas Kuan Hsien Lee, Jonathan Cheng Yao Goh, So Jeong Park, Darren Cheng Han Teo, Wei Ming Chua, May Yi Shan Lim, Septian Hartono and 4 more

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 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

14 authors.

Edwin Chong Yu SngDepartment of Infectious Diseases, Changi General Hospital, 2 Simei Street 3, Singapore 529889, Singapore.ORCID 0000-0001-6522-2614
Minh Bao KhaBioinformatics Institute, A*STAR, 30 Biopolis St., Matrix, Singapore 138671, Singapore.ORCID 0009-0003-2683-2198
Min Jia WongDepartment of Neuroradiology, Singapore General Hospital, 31 Third Hospital Ave., Singapore 168753, Singapore.
Nicholas Kuan Hsien LeeDepartment of Neuroradiology, Singapore General Hospital, 31 Third Hospital Ave., Singapore 168753, Singapore.
Jonathan Cheng Yao GohDepartment of Neuroradiology, Singapore General Hospital, 31 Third Hospital Ave., Singapore 168753, Singapore.
So Jeong ParkBioinformatics Institute, A*STAR, 30 Biopolis St., Matrix, Singapore 138671, Singapore.
Darren Cheng Han TeoDepartment of Infectious Diseases, Sengkang General Hospital, 110 Sengkang E Wy, Singapore 544886, Singapore.
Wei Ming ChuaDuke-NUS Medical School, 8 College Rd., Singapore 169857, Singapore.ORCID 0000-0002-2021-3586
May Yi Shan LimDuke-NUS Medical School, 8 College Rd., Singapore 169857, Singapore.ORCID 0009-0003-2606-3632
Septian HartonoDuke-NUS Medical School, 8 College Rd., Singapore 169857, Singapore.
Lester Chee Hoe LeeDepartment of Neurosurgery, Changi General Hospital, 2 Simei Street 3, Singapore 529889, Singapore.
Candice Yuen Yue ChanDuke-NUS Medical School, 8 College Rd., Singapore 169857, Singapore.ORCID 0000-0002-7321-710X
Hwee Kuan LeeBioinformatics Institute, A*STAR, 30 Biopolis St., Matrix, Singapore 138671, Singapore.
Ling Ling ChanDuke-NUS Medical School, 8 College Rd., Singapore 169857, Singapore.ORCID 0000-0001-7603-7334

Funding

SingHealth Duke-NUS Academic Medical Centre 2025/PG/000003/C2
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

brain abscessbrain metastasismachine learningradiomicsring-enhancing brain lesions

Identifiers

PMID41897659
PMCPMC13024827

What Socratic holds

Textmetadata
LicenceCC BY
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.