Evidence map›Paper›PMID 36620600›Full record

ArticleFrontiers in oncology2022

Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study.

Sukanya Iyer, Marwa Ismail, Benita Tamrazi, Ralph Salloum, Peter de Blank, Ashley Margol, Ramon Correa, Jonathan Chen, Kaustav Bera, Volodymyr Statsevych and 8 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. 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 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 8 institutions in 1 country.

Sukanya IyerDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Marwa IsmailDepartment of Radiology and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.
Benita TamraziDepartment of Pathology, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Ralph SalloumDivision of Hematology, Oncology & Bone Marrow Transplant, Nationwide Children's Hospital, Columbus, OH, United States.
Peter de BlankDivision of Oncology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Ashley MargolDepartment of Pathology, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Ramon CorreaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Jonathan ChenDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Volodymyr StatsevychDepartment of Neuroradiology, Imaging Institute, Cleveland Clinic, Cleveland, OH, United States.
Mai-Lan HoDepartment of Radiology, Nationwide Children's Hospital, Columbus, OH, United States.
Pranjal VaidyaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Ruchika VermaDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
Debra HawesDepartment of Pathology, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Alexander JudkinsDepartment of Pathology, Children's Hospital Los Angeles, Los Angeles, CA, United States.
Pingfu FuRadiology and Imaging Sciences, Biomedical Informatics (BMI) and Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Anant MadabhushiRadiology and Imaging Sciences, Biomedical Informatics (BMI) and Pathology, Georgia Institute of Technology and Emory University, Atlanta, GA, United States.
Pallavi TiwariDepartment of Radiology and Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, United States.
Case Western Reserve University · USChildren's Hospital of Los Angeles · USNationwide Children's Hospital · USUniversity of Wisconsin–Madison · USCincinnati Children's Hospital Medical Center · USCleveland Clinic · USEmory University · USGeorgia Institute of Technology · US

Funding

RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
NCI NIH HHS U01 CA248226
6 · The paper itself

Abstract

Introduction: Medulloblastoma (MB) is a malignant, heterogenous brain tumor. Advances in molecular profiling have led to identifying four molecular subgroups of MB (WNT, SHH, Group 3, Group 4), each with distinct clinical behaviors. We hypothesize that (1) aggressive MB tumors, growing heterogeneously, induce pronounced local structural deformations in the surrounding parenchyma, and (b) these local deformations as captured on Gadolinium (Gd)-enhanced-T1w MRI are independently associated with molecular subgroups, as well as overall survival in MB patients. Methods: In this work, a total of 88 MB studies from 2 institutions were analyzed. Following tumor delineation, Gd-T Results: Multi-class comparison via ANOVA yielded significant differences between deformation magnitudes obtained for Group 3, Group 4, and SHH molecular subgroups, observed up to 60-mm outside the tumor edge. Additionally, Kaplan-Meier survival analysis showed that the local deformation statistics, combined with the current clinical risk-stratification approaches (molecular subgroup information and Chang's classification), could identify significant differences between high-risk and low-risk survival groups, achieving better performance results than using any of these approaches individually. Discussion: These preliminary findings suggest there exists significant association of our tumor-induced deformation descriptor with overall survival in MB, and that there could be an added value in using the proposed radiomic descriptor along with the current risk classification approaches, towards more reliable risk assessment in pediatric MB.

Indexed as

deformationLASSOmedulloblastomamolecular subgroupssurvival

Identifiers

PMID36620600
PMCPMC9811390
OpenAlexW4312071169

What OpenQuestion holds

Textmetadata
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.