Evidence map›Paper›PMID 40819176›Full record

ArticleScientific reports2025

Tumor-specific PET tracer imaging and contrast-enhanced Mri based tumor volume differences inspection of glioblastoma patients.

Irshad Ahmed Abbasi, Mohammed Alshehri, Yahya AlQahtani

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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

3 authors.

Irshad Ahmed AbbasiDepartment of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, 67714, Saudi Arabia. aabasy@ub.edu.sa.
Mohammed AlshehriDepartment of Computer Science, King Khalid University, Abha, 61421, Saudi Arabia.
Yahya AlQahtaniDepartment of Informatics and Computer Systems, King Khalid University, Abha, 61421, Saudi Arabia.

Funding

Deanship of Research and Graduate Studies at King Khalid University, Saudi Arabia RGP.2/568/45
6 · The paper itself

Abstract

Despite advancements in treatment strategies, glioblastoma, also known as GBM, remains an exceptionally aggressive primary brain tumor with a grim prognosis. Despite innovations in treatment strategies, GBM continues to pose significant challenges. The assessment of GBM mainly depends on neuroimaging methods, with contrast-enhanced magnetic resonance imaging (MRI) being the widely accepted standard. In recent years, positron emission tomography (PET) has emerged as a supplementary imaging modality offering insights into the biological behavior and aggressiveness of GBM tumors. PET, often referred to as PET, complements MRI in the diagnostic process of GBM. The objective of this study was to explore the potential advantages of combining PET and MRI in diagnosing GBM. Twenty-two patients diagnosed with GBM underwent four 18 F-fluorothymidine (FLT)-PET/MRI examinations before and during treatment. Advanced image analysis methods, including MATLAB and the imlook4d analysis platform, were employed. These methods encompassed adaptive threshold algorithms, batch processing pipelines, and image attribute extraction algorithms. MRI evaluations revealed significant variations in tumor response to radiation therapy among patients with long-term and short-term survival rates, as determined by the study findings (p < 0.04). Furthermore, PET measurements, including maximum standardized uptake value (SUVmax), PET tumor volume, and total lesion activity (TLA), showed trends toward statistical significance; however, the differences did not reach conventional significance thresholds. These results underscore the need for further research into the therapeutic efficacy of PET parameters in managing this aggressive brain tumor. The findings of this study highlight the potential of fusion imaging using PET and MRI as an effective diagnostic technique for glioblastoma multiforme (GBM) and emphasize the importance of ongoing research in this area to improve patient outcomes.

Indexed as

Brain NeoplasmsGlioblastomaMagnetic Resonance ImagingPositron-Emission TomographyAdultAgedContrast MediaFemaleHumansMaleMiddle AgedTumor BurdenContrast Media18F-FluorothymidineGlioblastomaMagnetic resonance imagingMedical image processingPositron emission tomographyTumor

Identifiers

PMID40819176
PMCPMC12357862

What Socratic holds

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LicenceCC BY-NC-ND
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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.