Evidence map›Paper›PMID 32785770›Full record

ArticleEuropean radiology2020

Diffusion and perfusion MRI may predict EGFR amplification and the TERT promoter mutation status of IDH-wildtype lower-grade gliomas.

Yae Won Park, Sung Soo Ahn, Chae Jung Park, Kyunghwa Han, Eui Hyun Kim, Seok-Gu Kang, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee

Erratum issuedOpen access · greenAbstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
3.6field-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

34 citing papers in PubMed, 46 citations in OpenAlex.

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  11. [Research Progress in Imaging Investigation of TERT Promoter Mutations in Gliomas].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Yae Won ParkDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science , Yonsei University College of Medicine , 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, South Korea.
Sung Soo AhnDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science , Yonsei University College of Medicine , 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, South Korea. sungsoo@yuhs.ac.ORCID http://orcid.org/0000-0002-0503-5558
Chae Jung ParkDepartment of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Gyeonggi-do, South Korea.
Kyunghwa HanDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science , Yonsei University College of Medicine , 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, South Korea.
Eui Hyun KimDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea.
Seok-Gu KangDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea.
Jong Hee ChangDepartment of Neurosurgery, Yonsei University College of Medicine, Seoul, South Korea.
Se Hoon KimDepartment of Pathology, Yonsei University College of Medicine, Seoul, South Korea.
Seung-Koo LeeDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science , Yonsei University College of Medicine , 50-1 Yonsei-ro, Seodaemun-gu, 120-752, Seoul, South Korea.
Yonsei University · KR

Funding

Korea Basic Science Institute 2017R1D1A1B03030440Korean Society for Neuro Oncology NA
6 · The paper itself

Abstract

objectivesEpidermal growth factor receptor (EGFR) amplification and telomerase reverse transcriptase promoter (TERTp) mutation status of isocitrate dehydrogenase-wildtype (IDHwt) lower-grade gliomas (LGGs; grade II/III) are crucial for identifying IDHwt LGG with an aggressive clinical course. The purpose of this study was to assess whether parameters from diffusion tensor imaging, dynamic susceptibility contrast (DSC), and diffusion tensor imaging, dynamic contrast-enhanced imaging can predict the EGFR amplification and TERTp mutation status of IDHwt LGGs.

methodsA total of 49 patients with IDHwt LGGs with either known EGFR amplification (39 non-amplified, 10 amplified) or TERTp mutation (19 wildtype, 21 mutant) statuses underwent MRI. The mean ADC, fractional anisotropy (FA), normalized cerebral blood volume (nCBV), normalized cerebral blood flow (nCBF), volume transfer constant (K

resultsEGFR-amplified tumors showed lower mean ADC values than EGFR-non-amplified tumors (p = 0.019). Mean ADC was an independent predictor of EGFR amplification, with an AUC of 0.75. TERTp mutant tumors showed higher mean nCBV (p = 0.020), higher mean nCBF (p = 0.017), and higher mean V

conclusionThis exploratory pilot study shows that lower ADC values may be useful for prediction of EGFR amplification, whereas higher V KEY POINTS: • EGFR amplification and TERTp mutation are key molecular markers that predict an aggressive clinical course of IDHwt LGGs. • EGFR-amplified tumors showed lower ADC values than EGFR-non-amplified tumors, suggesting higher cellularity. • TERTp mutant tumors showed a higher plasma volume fraction than TERTp wildtype tumors, suggesting higher vascular proliferation and tumor angiogenesis.

Indexed as

AdultBiomarkersBrain NeoplasmsDiffusion Magnetic Resonance ImagingErbB ReceptorsFemaleGliomaHumansIsocitrate DehydrogenaseMagnetic Resonance AngiographyMaleMiddle AgedMutationPilot ProjectsPromoter Regions, GeneticReproducibility of ResultsBiomarkersEGFR protein, humanErbB ReceptorsIsocitrate DehydrogenaseTelomeraseTERT protein, humanEpidermal growth factor receptorGenomicsGliomaMagnetic resonance imagingTelomerase reverse transcriptase

Identifiers

PMID32785770
OpenAlexW3048514355

What OpenQuestion holds

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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.