Evidence map›Paper›PMID 39318678›Full record

ArticleClinical and translational radiation oncology2024

Systemic inflammatory markers and volume of enhancing tissue on post-contrast T1w MRI images in differentiating true tumor progression from pseudoprogression in high-grade glioma.

Camilla Satragno, Irene Schiavetti, Eugenia Cella, Federica Picichè, Laura Falcitano, Martina Resaz, Monica Truffelli, Stefano Caneva, Pietro Mattioli, Daniela Esposito and 20 more

Abstract read
In one paragraph

Article in Clinical and translational radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

30 authors.

Camilla SatragnoDept. of Experimental Medicine (DIMES), University of Genoa, Genoa, Italy.
Irene SchiavettiDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Eugenia CellaU.O. Oncologia Medica 2, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Federica PicichèDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Laura FalcitanoU.O. Neuroradiologia, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Martina ResazU.O. Neuroradiologia, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Monica TruffelliU.O. Clinica Neurochirurgica e Neurotraumatologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Stefano CanevaU.O. Clinica Neurochirurgica e Neurotraumatologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Pietro MattioliDepartment of Neuroscience Ophthalmological Rehabilitation Genetics and Mother and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Daniela EspositoDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Alessio GinullaDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Claudio ScaffidiDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Pietro FiaschiU.O. Clinica Neurochirurgica e Neurotraumatologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Alessandro D'AndreaU.O. Clinica Neurochirurgica e Neurotraumatologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Andrea BianconiU.O. Clinica Neurochirurgica e Neurotraumatologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gianluigi ZonaU.O. Clinica Neurochirurgica e Neurotraumatologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Laura BarlettaU.O. Neuroradiologia, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Luca RoccatagliataDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Lucio CastellanU.O. Neuroradiologia, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Silvia MorbelliDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Matteo BaucknehtDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
Isabella DoneganiU.O. Medicina Nucleare, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Paolo NozzaU.O. Anatomia Patologica Ospedaliera, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Dario ArnaldiDepartment of Neuroscience Ophthalmological Rehabilitation Genetics and Mother and Child Health (DINOGMI), University of Genoa, Genoa, Italy.
Giulia VidanoU.O. Radioterapia Oncologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Flavio GianelliU.O. Radioterapia Oncologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Salvina BarraU.O. Radioterapia Oncologica, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Elisa BennicelliU.O. Oncologia Medica 2, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Liliana BelgioiaDept. of Health Science (DISSAL), University of Genoa, Genoa, Italy.
disease management team on Neuroncology of IRCCS Ospedale Policlinico San Martino

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: High-grade glioma (HGG) patients post-radiotherapy often face challenges distinguishing true tumor progression (TTP) from pseudoprogression (PsP). This study evaluates the effectiveness of systemic inflammatory markers and volume of enhancing tissue on post-contrast T1 weighted (T1WCE) MRI images for this differentiation within the first six months after treatment. Material and Methods: We conducted a retrospective analysis on a cohort of HGG patients from 2015 to 2021, categorized per WHO 2016 and 2021 criteria. We analyzed treatment responses using modified RANO criteria and conducted volumetry on T1WCE and T2W/FLAIR images.Blood parameters assessed included neutrophil/lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI). We employed Chi-square, Fisher's exact test, and Mann-Whitney Results: The cohort consisted of 39 patients, where 16 exhibited PsP and 23 showed TTP. Univariate analysis revealed significantly higher NLR and SII in the TTP group [NLR: 4.1 vs 7.3, p = 0.002; SII 546.5 vs 890.5p = 0.009]. T1WCE volume distinctly differentiated PsP from TTP [2.2 vs 11.7, p < 0.001]. In multivariate regression, significant predictors included NLR and T1WCE volume in the "NLR Model," and T1WCE volume and SII in the "SII Model." The study also found a significantly lower OS rate in TTP patients compared to those with PsP [HR 3.97, CI 1.59 to 9.93, p = 0.003]. Conclusion: Elevated both, SII and NLR, and increased T1WCE volume were effective in differentiating TTP from PsP in HGG patients post-radiotherapy. These results suggest the potential utility of incorporating these markers into clinical practice, though further research is necessary to confirm these findings in larger patient cohorts.

Indexed as

High-grade gliomaNeutrophil-Lymphocyte RatioPost-contrast T1-weighted volumePseudoprogressionSystemic Immune-Inflammation IndexVolumetric analysis

Identifiers

PMID39318678
PMCPMC11419878

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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.