Evidence map›Paper›PMID 33987994›Full record

ArticleKorean journal of radiology2021

Prognostic Prediction Based on Dynamic Contrast-Enhanced MRI and Dynamic Susceptibility Contrast-Enhanced MRI Parameters from Non-Enhancing, T2-High-Signal-Intensity Lesions in Patients with Glioblastoma.

Sang Won Jo, Seung Hong Choi, Eun Jung Lee, Roh Eul Yoo, Koung Mi Kang, Tae Jin Yun, Ji Hoon Kim, Chul Ho Sohn

Open access · hybridAbstract read
In one paragraph

Article in Korean journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Sang Won JoDepartment of Radiology, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.ORCID 0000-0002-9542-7378
Seung Hong ChoiDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-0412-2270
Eun Jung LeeDepartment of Radiology, Human Medical Imaging & Intervention Center, Seoul, Korea.ORCID 0000-0002-2933-2995
Roh Eul YooDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-5625-5921
Koung Mi KangDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-9643-2008
Tae Jin YunDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0001-8441-4574
Ji Hoon KimDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0002-6349-6950
Chul Ho SohnDepartment of Radiology, Seoul National University Hospital, Seoul, Korea.ORCID 0000-0003-0039-5746
Seoul National University Hospital · KRHallym University Dongtan Sacred Heart Hospital · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFew attempts have been made to investigate the prognostic value of dynamic contrast-enhanced (DCE) MRI or dynamic susceptibility contrast (DSC) MRI of non-enhancing, T2-high-signal-intensity (T2-HSI) lesions of glioblastoma multiforme (GBM) in newly diagnosed patients. This study aimed to investigate the prognostic values of DCE MRI and DSC MRI parameters from non-enhancing, T2-HSI lesions of GBM. MATERIALS AND

methodsA total of 76 patients with GBM who underwent preoperative DCE MRI and DSC MRI and standard treatment were retrospectively included. Six months after surgery, the patients were categorized into early progression (n = 15) and non-early progression (n = 61) groups. We extracted and analyzed the permeability and perfusion parameters of both modalities for the non-enhancing, T2-HSI lesions of the tumors. The optimal percentiles of the respective parameters obtained from cumulative histograms were determined using receiver operating characteristic (ROC) curve and univariable Cox regression analyses. The results were compared using multivariable Cox proportional hazards regression analysis of progression-free survival.

resultsThe 95th percentile value (PV) of Ktrans, mean Ktrans, and median Ve were significant predictors of early progression as identified by the ROC curve analysis (area under the ROC curve [AUC] = 0.704,

conclusionThe 95th PV of Ktrans from the non-enhancing, T2-HSI lesions of GBM is a potential prognostic marker for disease progression.

Indexed as

Brain NeoplasmsGlioblastomaContrast MediaHumansMagnetic Resonance ImagingPrognosisRetrospective StudiesContrast MediaDynamic contrast-enhanced MR imagingDynamic susceptibility contrast MR imagingGlioblastoma multiformePeritumoral areaPrognosis prediction

Identifiers

PMID33987994
PMCPMC8316772
OpenAlexW3162594261

What OpenQuestion holds

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Registered trials

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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.