Correlation of gene expression with magnetic resonance imaging features of retinoblastoma: a multi-center radiogenomics validation study.

Publication Year: 2023

DOI:
10.1007/s00330-023-10054-y

PMCID:
PMC10853293

PMID:
37615761

Journal Information

Full Title: Eur Radiol

Abbreviation: Eur Radiol

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Radiology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
50.0% Transparent
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Evidence found in paper:

"Declarations GuarantorPim de Graaf had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Conflict of interestThe authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article. Statistics and biometryTwo of the authors, K. Roohollahi and M. de Jong, have significant statistical expertise. Informed consentWritten informed consent was waived by the Institutional Review Board. Ethical approvalInstitutional Review Board approval was obtained. Study subjects or cohorts overlapSeventeen patients were previously reported in a study on genetic markers for high-risk retinoblastoma without imaging [16], while the current study reports on associations between MRI features and gene expression profiles.16 Hudson LE, Mendoza P, Hudson WH et al (2018) Distinct gene expression profiles define anaplastic grade in retinoblastoma. The American Journal of Pathology 188:2328–2338.Some study subjects or cohorts have not been previously reported. MethodologyRetrospectiveMulticenter cohort study Conflict of interest The authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article."

Evidence found in paper:

"Funding This research was funded by the Stichting Kinderen Kankervrij (KIKA), Grant Number 342, and by the Hanarth Foundation, Grant for project titled MRI-based Deep Learning Segmentation and Quantitative Radiomics in Retinoblastoma: A Next Step Towards Personalized Interventions, and the Dutch Cancer society (KWF) project 10832."

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Last Updated: Aug 05, 2025