Evidence map›Paper›PMID 40352472›Full record

ArticleInternational journal of general medicine2025

Predicting Glioma Recurrence Using 18F-FDG PET/CT, MRI, and Tumor Markers: A Combined Approach.

Jingsong Wei

Abstract read
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Article in International journal of general medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Jingsong WeiDepartment of Neurosurgery, Northern Theater General Hospital, Shenyang, Liaoning Province, 110016, People's Republic of China.ORCID 0009-0009-2249-6311

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the combined predictive value of 18F-FDG PET/CT, MRI, and tumor markers for glioma recurrence. Methods: A retrospective analysis was conducted on the clinical data of 82 glioma patients treated at our hospital from January 2023 to April 2024. Patients were divided into Group A (n = 19, recurrence) and Group B (n = 63, no recurrence) based on whether recurrence occurred. All patients underwent 18F-FDG PET/CT to obtain maximum standardized uptake value (SUVmax) and lesion-to-normal tissue ratio (L/N). MRI was performed to measure the apparent diffusion coefficient (ADC) of the tumor parenchyma and cerebral blood flow (CBF). Serum samples were collected from all patients, and tumor markers, including monocyte-to-lymphocyte ratio (MLR) and neutrophil-to-lymphocyte ratio (NLR), were measured using an automated blood analyzer. Differences in SUVmax, L/N, ADC, CBF, MLR, and NLR levels between Groups A and B were compared. Spearman correlation analysis was used to assess the relationships between SUVmax, L/N, ADC, CBF, MLR, NLR, and glioma recurrence. Receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic value of each parameter for glioma recurrence. Results: Recurrent patients demonstrated significantly higher SUVmax, L/N, NLR, and MLR, alongside lower ADC and CBF (all P < 0.05). These parameters correlated with recurrence (SUVmax, L/N, NLR, MLR positively; ADC and CBF negatively; all P < 0.05). ROC analysis highlighted the superiority of combined modalities, achieving an AUC of 0.856, with higher sensitivity and specificity than individual markers. Conclusion: SUVmax, L/N, ADC, CBF, MLR, and NLR are correlated with glioma recurrence. The combined use of SUVmax, L/N, ADC, CBF, MLR, and NLR provides higher diagnostic value for glioma recurrence.

Indexed as

18F-FDG PET/CTcorrelationgliomaMRIpredictive valuerecurrencetumor markers

Identifiers

PMID40352472
PMCPMC12063694

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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.