Evidence map›Paper›PMID 37060448›Full record

ArticleEuropean radiology2023

Defining subventricular zone involvement to predict the survival of patients in isocitrate dehydrogenase-wild type glioblastoma: validation in a prospective registry.

Ji Eun Kim, Ji Eun Park, Seo Young Park, Young-Hoon Kim, Chang-Ki Hong, Jeong Hoon Kim, Ho Sung Kim

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In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02619890 (Registry Describing Clinical Information, Conventional, and Advanced Magnetic Resonance Imaging Information of Patients With Brain Glioma), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT02619890 recruitingnot on this map

Registry Describing Clinical Information, Conventional, and Advanced Magnetic Resonance Imaging Information of Patients With Brain Glioma

Typeobservational_patient_registrySponsorAsan Medical CenterRan2015 to 2040Enrolled9,000ConditionsAdult GliomaArmsBrain Glioma Registry
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

7 authors.

Ji Eun KimDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-gu, Seoul, 05505, Korea.
Ji Eun ParkDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-gu, Seoul, 05505, Korea. jieunp@gmail.com.ORCID http://orcid.org/0000-0002-4419-4682
Seo Young ParkDepartment of Statistics and Data Science, Korea National Open University, Seoul, Korea.
Young-Hoon KimDepartment of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Chang-Ki HongDepartment of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Jeong Hoon KimDepartment of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Korea.
Ho Sung KimDepartment of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 43 Olympic-ro 88, Songpa-gu, Seoul, 05505, Korea.

Funding

Ministry of Health and Welfare HI21C1161
6 · The paper itself

Abstract

objectivesThe prognostic value of subventricular zone distance (SVD) is unclear because of different definitions and lack of evaluation of clinical survival models. The aim of this study was to define SVD and evaluate its prognostic value in a survival nomogram for glioblastoma.

methodsThis retrospective study included 158 (SVD biomarker) from historical glioblastoma patients and 187 (survival modeling) with IDH-wild type glioblastoma from a prospective registry (NCT02619890). SVD was assessed by two radiologists: definition 1, the distance between the tumor edge to subventricular zone (SVZ); definition 2, the distance between the tumor centroid to SVZ; definition 3, enhancement at the ventricular wall. The associations between SVD and overall survival (OS) were evaluated using multivariable Cox proportional hazards regression analysis. Performance of an updated SVD survival model was compared with that of the Radiation Therapy Oncology Group (RTOG) 0525 nomogram.

resultsSVD according to both definition 1 (hazard ratio [HR]: 0.97, 95% CI: 0.94-0.99; p = .011) and definition 2 (HR: 0.96, 0.94-0.98, p < .001) was adversely associated with OS. Definition 1 was adversely associated with PFS (HR: 0.96, 0.94-0.99, p = .008) and showed the highest reproducibility (intraclass correlation coefficient, 0.90). The SVD-updated model showed similar to better performance than the RTOG model for predicting OS of up to 3 years (AUC: 0.735-0.738 vs. 0.687-0.708), with higher time-dependent specificity for 1-year (89.9% vs. 70.6%) and 3-year OS (93.3% vs. 80.0%).

conclusionSVZ distance is an independent adverse prognostic factor in patients with IDH-wild type glioblastoma. Updating the survival model with SVZ provides better time-dependent specificity and reproducibility. KEY POINTS: • Subventricular zone distance (SVD) measurement from tumor edge showed high reproducibility. • Longer SVD was independently associated with longer overall survival. • Adding SVD improved time-dependent specificity for survival model in a prospective registry.

Indexed as

Brain NeoplasmsGlioblastomaHumansIsocitrate DehydrogenaseLateral VentriclesPrognosisReproducibility of ResultsRetrospective StudiesIsocitrate DehydrogenaseGlioblastomaMRIRadiation OncologySubventricular zoneSurvival

Identifiers

PMID37060448

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