Evidence map›Paper›PMID 36242633›Full record

Trial reportEuropean radiology2023

Vessel size and perfusion-derived vascular habitat refines prediction of treatment failure to bevacizumab in recurrent glioblastomas: validation in a prospective cohort.

Minjae Kim, Ji Eun Park, Shin Kyo Yoon, Nakyoung Kim, Young-Hoon Kim, Jeong Hoon Kim, Ho Sung Kim

2 registry-linked trialsAbstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report 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 2 registered trials, which are not on this map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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.

NCT04143425 completednot on this map

Prospective Observational Study of Imaging-based Response Prediction for Anti-angiogenic Treatment in Recurrent Glioblastomas

TypeobservationalSponsorHo Sung KimRan2020 to 2022Enrolled15ConditionsAdult Glioblastoma, Magnetic Resonance Imaging, BevacizimabArms3-Tesla conventional magnetic resonance imaging, Advanced imaging without contrast use, Dynamic susceptibility contrast-weighted imaging
NCT06854107 completednot on this map

Intratumoral and Peritumoral Habitat Radiomics of MRI Predict Pathologic Complete Response to Neoadjuvant Chemoimmunotherapy in Oral Squamous Cell Carcinoma

TypeobservationalSponsorZilong YuanRan2023 to 2023Enrolled225ConditionsPathologic Complete Response
3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
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  7. Review
  8. Article
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  10. ID1Cell death & disease · 2024
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Minjae 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
Shin Kyo YoonDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
Nakyoung KimDYNAPEX LLC, Seoul, Korea.
Young-Hoon KimDepartment of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, Korea.
Jeong Hoon KimDepartment of Neurosurgery, University of Ulsan College of Medicine, Asan Medical Center, Seoul, 05505, 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.
Ulsan College · KR

Funding

National Research Foundation of Korea (NRF) NRF-2020R1A2B5B01001707National Research Foundation of Korea (NRF) NRF-2020R1A2C4001748
6 · The paper itself

Abstract

objectivesAnti-angiogenic therapy may not benefit all patients with recurrent glioblastomas, and imaging biomarker predicting treatment response to anti-angiogenic therapy is currently limited. We aimed to develop and validate vascular habitats based on perfusion and vessel size to predict time to progression (TTP) in patients with recurrent glioblastomas treated with bevacizumab.

methodsSixty-nine patients with recurrent glioblastomas treated with bevacizumab who underwent pretreatment MRI with dynamic susceptibility contrast imaging and vessel architectural imaging were enrolled. Vascular habitats were constructed using vessel size index (VSI) and relative cerebral blood volume (rCBV). Associations with vascular habitats and TTP were analyzed using Cox proportional hazard regression analysis. In a prospectively enrolled validation cohort consisting of 15 patients ( ClinicalTrials.gov identifier; NCT04143425), stratification of TTP was demonstrated by the Kaplan-Meier method (log-rank test) using vascular habitats.

resultsThree vascular habitats consisting of high, intermediate, and low angiogenic habitats were identified with rCBV and VSI. Both high angiogenic and intermediate angiogenic habitats were significantly associated with a shorter TTP (hazard ratio [HR], 2.78 and 1.82, respectively; largest p = .003) and so was rCBV (HR, 2.15; p = .02). Concordance probability index of vascular habitat combining high and intermediate angiogenic habitats was 0.74. Vascular habitats stratified patients as good or poor responder in a prospective cohort (p = .059).

conclusionsPerfusion- and vessel size-derived vascular habitats predicted TTP in recurrent glioblastomas treated with anti-angiogenic therapy and aided patient stratification in a prospective validation cohort.

trial registrationClinicalTrials.gov identifier: NCT04143425 KEY POINTS: • High and intermediate angiogenic habitats predicted TTP in recurrent glioblastomas treated with anti-angiogenic therapy. • Vascular habitats combining high and intermediate angiogenic habitats aided patient stratification for anti-angiogenic therapy in recurrent glioblastomas.

Indexed as

Brain NeoplasmsGlioblastomaBevacizumabHumansMagnetic Resonance ImagingPerfusionTreatment FailureBevacizumabBevacizumabGlioblastomaPerfusion imagingTreatment outcome

Identifiers

PMID36242633
OpenAlexW4306316646

What OpenQuestion holds

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Registered trials

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.