Evidence map›Paper›PMID 24408041›Full record

ArticleLa Radiologia medica2014

Recurrent glioblastoma multiforme versus radiation injury: a multiparametric 3-T MR approach.

Alfonso Di Costanzo, Tommaso Scarabino, Francesca Trojsi, Teresa Popolizio, Simona Bonavita, Mario de Cristofaro, Renata Conforti, Adriana Cristofano, Claudio Colonnese, Ugo Salvolini and 1 more

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 9 pooled it
3.8field-weighted citation impact, top 6% of its field
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

36 citing papers in PubMed, 9 syntheses or guidelines pooled it, 62 citations in OpenAlex.

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  15. Reliability of dynamic susceptibility contrast perfusion metrics in pre- and post-treatment glioma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2022
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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

11 authors at 7 institutions in 1 country.

Alfonso Di CostanzoDipartimento di Medicina e Scienze per la Salute, Università del Molise, Via De Sanctis snc, 86100, Campobasso, Italy, alfonso.dicostanzo@unimol.it.
Tommaso Scarabino
Francesca Trojsi
Teresa Popolizio
Simona Bonavita
Mario de Cristofaro
Renata Conforti
Adriana Cristofano
Claudio Colonnese
Ugo Salvolini
Gioacchino Tedeschi
Astronomical Observatory of Capodimonte · ITIstituto Neurologico Mediterraneo · ITCasa Sollievo della Sofferenza · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITMarche Polytechnic University · ITUniversity of Molise · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe discrimination between recurrent glioma and radiation injury is often a challenge on conventional magnetic resonance imaging (MRI). We verified whether adding and combining proton MR spectroscopic imaging ((1)H-MRSI), diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) information at 3 Tesla facilitate such discrimination. MATERIALS AND

methodsTwenty-nine patients with histologically verified high-grade gliomas, who had undergone surgical resection and radiotherapy, and had developed new contrast-enhancing lesions close to the treated tumour, underwent MRI, (1)H-MRSI, DWI and PWI at regular time intervals. The metabolite ratios choline (Cho)/normal( n )Cho n , N-acetylaspartate (NAA)/NAA n , creatine (Cr)/Cr n , lactate/lipids (LL)/LL n , Cho/Cr n , NAA/Cr n , Cho/NAA, NAA/Cr and Cho/Cr were derived from (1)H-MRSI; the apparent diffusion coefficient (ADC) from DWI; and the relative cerebral blood volume (rCBV) from PWI.

resultsIn serial MRI, recurrent gliomas showed a progressive enlargement, and radiation injuries showed regression or no modification. Discriminant analysis showed that discrimination accuracy was 79.3 % when considering only the metabolite ratios (predictor, Cho/Cr n ), 86.2 % when considering ratios and ADC (predictors, Cho/Cr n and ADC), 89.7 % when considering ratios and rCBV (predictors, Cho/Cr n , Cho/Cr and rCBV), and 96.6 % when considering ratios, ADC and rCBV (predictors, Cho/Cho n , ADC and rCBV).

conclusionsThe multiparametric 3-T MR assessment based on (1)H-MRSI, DWI and PWI in addition to MRI is a useful tool to discriminate tumour recurrence/progression from radiation effects.

Indexed as

Magnetic Resonance ImagingAdultAgedBrain InjuriesBrain NeoplasmsDiagnosis, DifferentialFemaleGlioblastomaHumansMaleMiddle AgedNeoplasm Recurrence, LocalRadiation Injuries

Identifiers

PMID24408041
OpenAlexW1980210566

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.