Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks.

Authors:
Jing X; Dorrius MD; Zheng S; Wielema M; Oudkerk M and 2 more

Journal:
Eur Radiol

Publication Year: 2023

DOI:
10.1007/s00330-023-10184-3

PMCID:
PMC10873226

PMID:
37658141

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
Transparency Indicators
Click on green indicators to view evidence text
Core Indicators
Data Sharing
Code Sharing
Evidence found in paper:

"Declarations GuarantorThe scientific guarantor of this publication is Peter M. A. van Ooijen. 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 biometryNo complex statistical methods were necessary for this paper. Informed consentWritten informed consent was waived by the institutional review board. Ethical approvalInstitutional review board approval was obtained. Study subjects or cohorts overlapSome study subjects or cohorts have been previously reported in Jing X, Wielema M, Cornelissen LJ, et al (2022) Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time. Eur Radiol. https://doi.org/10.1007/s00330-022-08863-8. Methodology• Retrospective• Diagnostic or prognostic study• performed at one institution 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 The authors state that this work has not received any funding."

Protocol Registration
Open Access
Paper is freely available to read
Additional Indicators
Replication
Novelty Statement
Assessment Info

Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025