Evidence map›Paper›PMID 35873825›Full record

ArticleFrontiers in neuroscience2022

Overall Survival Prediction of Glioma Patients With Multiregional Radiomics.

Asma Shaheen, Syed Talha Bukhari, Maria Nadeem, Stefano Burigat, Ulas Bagci, Hassan Mohy-Ud-Din

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Machine learning-based MRI radiomics identifies patients with degenerative cervical myelopathy and predicts baseline function.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. BMC cancer · 2024
    Article
  7. Article
  8. Article
  9. Prediction of MRI-Induced Power Absorption in Patients with DBS Leads.Proceedings. IEEE International Symposium on Computer-Based Medical Systems · 2024
    Article
  10. Article
  11. Brain tumour genetic network signatures of survival.Brain : a journal of neurology · 2023
    Article
  12. Article
  13. Review
  14. Review
  15. Review
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.

Asma ShaheenDepartment of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy.
Syed Talha BukhariDepartment of Electrical Engineering, School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Maria NadeemDepartment of Electrical Engineering, School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.
Stefano BurigatDepartment of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy.
Ulas BagciDepartment of Radiology, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Hassan Mohy-Ud-DinDepartment of Electrical Engineering, School of Science and Engineering, Lahore University of Management Sciences, Lahore, Pakistan.

Funding

Cyst-X: Interpretable Deep Learning Based Risk Stratification of Pancreatic Cystic TumorsR01CA246704 · NCI · UNIVERSITY OF CENTRAL FLORIDA · PI BAGCI, ULAS · 2020 to 2024
$2.4M
Radiologist-Centered Artificial Intelligence (RCAI) for Lung Cancer Screening and DiagnosisR01CA240639 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BAGCI, ULAS · 2020 to 2024
$2.0M
NCI NIH HHS R01 CA240639
6 · The paper itself

Abstract

Radiomics-guided prediction of overall survival (OS) in brain gliomas is seen as a significant problem in Neuro-oncology. The ultimate goal is to develop a robust MRI-based approach (i.e., a radiomics model) that can accurately classify a novel subject as a short-term survivor, a medium-term survivor, or a long-term survivor. The BraTS 2020 challenge provides radiological imaging and clinical data (

Indexed as

brain tumor segmentationdeep learningglioblastomamachine learningMRIradiomicssurvival prediction

Identifiers

PMID35873825
PMCPMC9301117

What OpenQuestion holds

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LicenceCC BY
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.