Evidence map›Paper›PMID 34266866›Full record

ArticleAJNR. American journal of neuroradiology2021

Radiomic Phenotypes Distinguish Atypical Teratoid/Rhabdoid Tumors from Medulloblastoma.

M Zhang, S W Wong, S Lummus, M Han, A Radmanesh, S S Ahmadian, L M Prolo, H Lai, A Eghbal, O Oztekin and 9 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AJNR. American journal of neuroradiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Article
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  9. Article
  10. Artificial intelligence applications in pediatric oncology diagnosis.Exploration of targeted anti-tumor therapy · 2023
    Review
  11. Review
  12. MR Imaging of Pediatric Brain Tumors.Diagnostics (Basel, Switzerland) · 2022
    Review
  13. Article
  14. 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

19 authors at 16 institutions in 3 countries.

M ZhangFrom the Departments of Neurosurgery (M.Z.).ORCID 0000-0002-7067-0689
S W WongDepartment of Statistics (S.W.W.), Stanford University, Stanford, California.ORCID 0000-0002-0362-6266
S LummusDepartment of Physiology and Nutrition (S.L.), University of Colorado, Colorado Springs, Colorado.ORCID 0000-0003-2343-5528
M HanDepartment of Pediatrics (M.H.), Children's Hospital of Philadelphia, University of Pennsylvania, Philadelphia, Pennsylvania.ORCID 0000-0003-2812-6193
A RadmaneshDepartment of Radiology (A.R.), New York University Grossman School of Medicine, New York, New York.ORCID 0000-0002-8581-2600
S S AhmadianPathology (S.S.A., H.V.), Stanford Medical Center, Stanford University, Stanford, California.ORCID 0000-0002-4133-7895
L M ProloDepartments of Neurosurgery (L.M.P., G.A.G.).ORCID 0000-0001-7737-8675
H LaiDepartment of Radiology (H.L., A.E.), Children's Hospital of Orange County, Orange, California and University of California, Irvine, Irvine, California.ORCID 0000-0001-6747-7338
A EghbalDepartment of Radiology (H.L., A.E.), Children's Hospital of Orange County, Orange, California and University of California, Irvine, Irvine, California.ORCID 0000-0003-3486-001X
O OztekinDepartment of Neuroradiology (O.O.), Cigli Education and Research Hospital, Bakircay University, Izmir, Turkey.ORCID 0000-0002-0092-5260
S H CheshierDivision of Pediatric Neurosurgery (S.H.C.), Department of Neurosurgery, Huntsman Cancer Institute, Intermountain Healthcare Primary Children's Hospital, University of Utah School of Medicine, Salt Lake City, Utah.ORCID 0000-0003-4983-6610
P G FisherNeurology (P.G.F.).ORCID 0000-0002-1196-1590
C Y HoDepartments of Clinical Radiology & Imaging Sciences (C.Y.H.), Riley Children's Hospital, Indiana University, Indianapolis, Indiana.ORCID 0000-0002-2358-1851
H VogelPathology (S.S.A., H.V.), Stanford Medical Center, Stanford University, Stanford, California.ORCID 0000-0002-0960-3508
N A VitanzaDivision of Pediatric Hematology/Oncology (N.A.V.), Department of Pediatrics, Seattle Children's Hospital, Seattle, Washington.ORCID 0000-0002-3966-4985
R M LoberDivision of Neurosurgery (R.M.L.), Department of Pediatrics, Wright State University Boonshoft School of Medicine, Dayton Children's Hospital, Dayton, Ohio.ORCID 0000-0002-0824-0274
G A GrantDepartments of Neurosurgery (L.M.P., G.A.G.).ORCID 0000-0002-2651-4603
A JajuDepartment of Medical Imaging (A.J.), Ann and Robert H. Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois.ORCID 0000-0001-5025-3709
K W YeomRadiology (K.W.Y.), Lucile Packard Children's Hospital, Stanford University, Palo Alto, California kyeom@stanford.edu.ORCID 0000-0001-9860-3368
Children's Hospital of Orange County · USMACOM (United States) · USStanford Medicine · USChildren's Hospital of Philadelphia · USFerioli & Gianotti (Italy) · ITIntermountain Healthcare · USIzmir University · TRLucile Packard Children's Hospital · USNew York University · USNorthwestern University · USRiley Hospital for Children · USSeattle Children's Hospital · USStanford University · USUniversity of Colorado Colorado Springs · USWright State University · USZ Urology · US

Funding

STANFORD CANCER IMAGING TRAINING (SCIT) PROGRAMT32CA009695 · NCI · STANFORD UNIVERSITY · PI BRUCE L DANIEL, Jeremy Dahl · 1993 to 2026
$7.7M
NCI NIH HHS T32 CA009695
6 · The paper itself

Abstract

background and purposeAtypical teratoid/rhabdoid tumors and medulloblastomas have similar imaging and histologic features but distinctly different outcomes. We hypothesized that they could be distinguished by MR imaging-based radiomic phenotypes. MATERIALS AND

methodsWe retrospectively assembled T2-weighted and gadolinium-enhanced T1-weighted images of 48 posterior fossa atypical teratoid/rhabdoid tumors and 96 match-paired medulloblastomas from 7 institutions. Using a holdout test set, we measured the performance of 6 candidate classifier models using 6 imaging features derived by sparse regression of 900 T2WI and 900 T1WI Imaging Biomarker Standardization Initiative-based radiomics features.

resultsFrom the originally extracted 1800 total Imaging Biomarker Standardization Initiative-based features, sparse regression consistently reduced the feature set to 1 from T1WI and 5 from T2WI. Among classifier models, logistic regression performed with the highest AUC of 0.86, with sensitivity, specificity, accuracy, and F1 scores of 0.80, 0.82, 0.81, and 0.85, respectively. The top 3 important Imaging Biomarker Standardization Initiative features, by decreasing order of relative contribution, included voxel intensity at the 90th percentile, inverse difference moment normalized, and kurtosis-all from T2WI.

conclusionsSix quantitative signatures of image intensity, texture, and morphology distinguish atypical teratoid/rhabdoid tumors from medulloblastomas with high prediction performance across different machine learning strategies. Use of this technique for preoperative diagnosis of atypical teratoid/rhabdoid tumors could significantly inform therapeutic strategies and patient care discussions.

Indexed as

Cerebellar NeoplasmsMedulloblastomaRhabdoid TumorHumansMagnetic Resonance ImagingPhenotypeRetrospective Studies

Identifiers

PMID34266866
PMCPMC8423034
OpenAlexW3178583931

What OpenQuestion holds

Textmetadata
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.