Evidence map›Paper›PMID 40015559›Full record

ReviewKorean journal of radiology2025

A Radiologist's Guide to IDH-Wildtype Glioblastoma for Efficient Communication With Clinicians: Part II-Essential Information on Post-Treatment Imaging.

Philipp Vollmuth, Philipp Karschnia, Felix Sahm, Yae Won Park, Sung Soo Ahn, Rajan Jain

Abstract readReview
In one paragraph

Review in Korean journal of radiology, 2025. 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
–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.

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.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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

6 authors.

Philipp VollmuthDivision for Computational Radiology & Clinical AI (CCIBonn.ai), Clinic for Neuroradiology, University Hospital Bonn, Bonn, Germany.ORCID 0000-0002-6224-0064
Philipp KarschniaDepartment of Neurosurgery, Ludwig-Maximilians-University, Munich, Germany.ORCID 0000-0002-1254-5310
Felix SahmDepartment of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany.ORCID 0000-0001-5441-1962
Yae Won ParkDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea. yaewonpark@yuhs.ac.ORCID 0000-0001-8907-5401
Sung Soo AhnDepartment of Radiology and Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Republic of Korea.ORCID 0000-0002-0503-5558
Rajan JainDepartment of Radiology, New York University Grossman School of Medicine, New York, USA.ORCID 0000-0002-4879-0457

Funding

DFG 404521405DFG 428223917EKFS 2022_EKCS.17YUCM 6-2023-0072
6 · The paper itself

Abstract

Owing to recent advancements in various postoperative treatment modalities, such as radiation, chemotherapy, antiangiogenic treatment, and immunotherapy, the radiological and clinical assessment of patients with isocitrate dehydrogenase-wildtype glioblastoma using post-treatment imaging has become increasingly challenging. This review highlights the challenges in differentiating treatment-related changes such as pseudoprogression, radiation necrosis, and pseudoresponse from true tumor progression and aims to serve as a guideline for efficient communication with clinicians for optimal management of patients with post-treatment imaging.

Indexed as

Brain NeoplasmsGlioblastomaIsocitrate DehydrogenaseDisease ProgressionHumansMagnetic Resonance ImagingIsocitrate DehydrogenaseGlioblastomaMagnetic resonance imagingPseudoprogressionPseudoresponseRadiation necrosis

Identifiers

PMID40015559
PMCPMC11955384

What OpenQuestion holds

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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.