Evidence map›Paper›PMID 40979501›Full record

ArticleJournal of inflammation research2025

The Predictive Value of ADC Values, Degree of Edema and the Systemic Immune-Inflammation Index for Early Postoperative Recurrence in High-Grade Gliomas.

Man Wang, Sisi Wang, Qian Li, Xili Jiang

Abstract read
In one paragraph

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

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2citing papers 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

Who cites it

2 citing papers in PubMed.

  1. Observational
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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Man WangCenter for Radiation Medicine, The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, 410007, People's Republic of China.
Sisi WangLaboratory Medicine Center, The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, 410007, People's Republic of China.
Qian LiCenter for Radiation Medicine, The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, 410007, People's Republic of China.
Xili JiangCenter for Radiation Medicine, The Second People's Hospital of Hunan Province (Brain Hospital of Hunan Province), Changsha, 410007, People's Republic of China.ORCID 0000-0002-1654-5393

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the predictive value of apparent diffusion coefficient (ADC) values, degree of edema and the systemic immune-inflammation index (SII) for early postoperative recurrence in high-grade gliomas (HGG). Methods: This retrospective study analyzed data from patients with HGG who underwent surgery at the Second People's Hospital of Hunan Province between May 2018 and June 2023. Patients were divided into early recurrence (within six months post-surgery) and non-early recurrence groups. Receiver operating characteristic (ROC) curves were used to develop predictive models for early recurrence of HGG based on ADC, degree of edema and SII. Results: A total of 68 patients with HGG were included, of whom 20 (29.5%) had early recurrence. Significant differences were observed between the early recurrence and non-early recurrence groups in age, tumor size, degree of edema, and Pathologic grading (all P < 0.05). The area under the ROC curve (AUC) for tumor ADC was 0.623 (95% CI: 0.461-0.786) with a sensitivity of 0.500 and a specificity of 0.854; for degree of edema, it was 0.652 (95% CI: 0.517-0.787) with a sensitivity of 0.900 and a specificity of 0.458; and for SII, it was 0.781 (95% CI: 0.663-0.900) with a sensitivity of 0.750 and a specificity of 0.729. The combined model yielded an AUC of 0.823 (95% CI: 0.715-0.931) with a sensitivity of 0.800 and a specificity of 0.708. Conclusion: The combined evaluation of tumor ADC values, SII, and the degree of edema offers predictive value for early recurrence in HGG.

Indexed as

ADC valueearly recurrencehigh grade gliomasprognosisSII

Identifiers

PMID40979501
PMCPMC12447975

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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.