Evidence map›Paper›PMID 37932656›Full record

ArticleBMC medical imaging2023

Post-chemo-radiotherapy response and pseudo-progression evaluation on glioma cell types by multi-parametric magnetic resonance imaging: a prospective study.

Maryam Zamanian, Iraj Abedi, Fatemeh Danazadeh, Alireza Amouheidari, Bentolhoda Otroshi Shahreza

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Article in BMC medical imaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Maryam ZamanianDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Iraj AbediDepartment of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran. i.abedi@med.mui.ac.ir.
Fatemeh DanazadehDepartment of Radiology, School of Paramedicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Alireza AmouheidariDepartment of Oncology, Isfahan Milad Hospital, Isfahan, Iran.
Bentolhoda Otroshi ShahrezaDepartment of Radiology, School of Medicine, Arak University of Medical Sciences, Arak, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe focused on Differentiated pseudoprogression (PPN) of progression (PN) and the response to radiotherapy (RT) or chemoradiotherapy (CRT) using diffusion and metabolic imaging.

methodsSeventy-five patients with glioma were included in this prospective study (approved by the Iranian Registry of Clinical Trials (IRCT) (IRCT20230904059352N1) in September 2023). Contrast-enhanced lesion volume (CELV), non-enhanced lesion volume (NELV), necrotic tumor volume (NTV), and quantitative values ​​of apparent diffusion coefficient (ADC) and magnetic resonance spectroscopy (Cho/Cr, Cho/NAA and NAA/Cr) were calculated by a neuroradiologist using a semi-automatic method. All patients were followed at one and six months after CRT.

resultsThe results of the study showed statistically significant changes before and six months after RT-CRT for M-CELV in all glioma types (𝑝 < 0.05). In glioma cell types, the changes in M-ADC, M-Cho/Cr, and Cho/NAA indices for PN were incremental and greater for PPN patients. M-NAA/Cr ratio decreased after six months which was significant only on PN for GBM, and Epn (𝑝 < 0.05). A significant difference was observed between diffusion indices, metabolic ratios, and CELV changes after six months in all types (𝑝 < 0.05). None of the patients were suspected PPN one month after treatment. The DWI/ADC indices had higher sensitivity and specificity (98.25% and 96.57%, respectively).

conclusionThe results of the present study showed that ADC values and Cho/Cr and Cho/NAA ratios can be used to differentiate between patients with PPN and PN, although ADC is more sensitive and specific.

Indexed as

Brain NeoplasmsGliomaChemoradiotherapyDiffusion Magnetic Resonance ImagingHumansIranMagnetic Resonance ImagingMagnetic Resonance SpectroscopyProspective StudiesChemo-radiotherapyDiffusion-weighted imagingGliomaMagnetic resonance imagingMagnetic resonance spectroscopyPseudo-progression

Identifiers

PMID37932656
PMCPMC10626695

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