Evidence map›Paper›PMID 42195335›Full record

ArticleLife (Basel, Switzerland)2026

Artificial Intelligence-Based MRI Segmentation in Glioblastoma and Single Brain Metastasis: An Exploratory Study of Diagnostic and Prognostic Value.

Costin Chirica, Oriana-Maria Onicescu, Daniela Pomohaci, Mihai Ștefan Cristian Haba, Sabina-Ioana Chirica, Sergiu-Andrei Dinu, Laura-Elena Cucu, Gabriela Florența Dumitrescu, Maria Magdalena Leon, Danisia Haba

Abstract read
In one paragraph

Article in Life (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
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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.

Costin ChiricaGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.ORCID 0009-0004-4813-8057
Oriana-Maria OnicescuFaculty of Computer Science, Alexandru Ioan Cuza University Iasi, 700506 Iasi, Romania.ORCID 0009-0002-4758-4309
Daniela PomohaciGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.ORCID 0009-0003-2808-711X
Mihai Ștefan Cristian HabaGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.
Sabina-Ioana ChiricaGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.
Sergiu-Andrei DinuFaculty of Computer Science, Alexandru Ioan Cuza University Iasi, 700506 Iasi, Romania.
Laura-Elena CucuGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.ORCID 0009-0000-1544-1325
Gabriela Florența DumitrescuDepartment of Pathology, Prof. Dr. Nicolae Oblu Emergency Clinical Hospital Iasi, 700309 Iasi, Romania.
Maria Magdalena LeonGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.ORCID 0000-0002-5836-1322
Danisia HabaGrigore T. Popa University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.

Funding

The Health Programme (PS) 2021 - 2027 SMIS code 351058
6 · The paper itself

Abstract

(1) Background: Differentiating between glioblastoma (GB) and single brain metastasis (SBM) on conventional MRI remains a clinical challenge, and manual tumor volumetry often fails to provide a robust prognostic signal for survival. This study evaluates whether AI-based automated segmentation and the derivation of multi-compartment volumetric ratios can improve diagnostic accuracy and survival prediction. (2) Methods: A retrospective study was conducted on 123 patients (

Indexed as

artificial intelligencedeep learningglioblastomamachine learningoverall survivalsingle brain metastasistumor segmentation

Identifiers

PMID42195335
PMCPMC13209033

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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.