Evidence map›Paper›PMID 41347917›Full record

ArticleRadiology. Imaging cancer2026

Dynamic Contrast-enhanced MRI for Evaluating Breast Cancer Chemotherapy Response Using Conditional Generative Adversarial Networks.

Chad A Arledge, Alan H Zhao, Umit Topaloglu, Dawen Zhao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Chad A ArledgeDepartment of Biomedical Engineering, Wake Forest School of Medicine, 525 Vine St, Ste 150, Winston-Salem, NC 27101.ORCID 0000-0002-9275-1850
Alan H ZhaoUniversity of North Carolina School of Medicine, Chapel Hill, NC.
Umit TopalogluClinical and Translational Research Informatics Branch, National Cancer Institute, Rockville, Md.
Dawen ZhaoDepartment of Biomedical Engineering, Wake Forest School of Medicine, 525 Vine St, Ste 150, Winston-Salem, NC 27101.ORCID 0000-0001-6428-1698

Funding

Convertible MRI contrast signaling delivery and release of anti-glioma nano-drugR01CA194578 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHAO, DAWEN · 2015 to 2019
$1.8M
NCI NIH HHS R01 CA194578
6 · The paper itself

Abstract

Purpose To develop and evaluate an image-to-image conditional generative adversarial network (cGAN) for translating dynamic contrast-enhanced (DCE) MRI data to vascular pharmacokinetic permeability maps. Materials and Methods Retrospective breast cancer DCE MR images from The Cancer Imaging Archive acquired between April 1996 and January 1998 were used to assess the developed cGAN. The extended Tofts model (ETM) was applied to establish reference standard volume transfer constant (

Indexed as

Breast NeoplasmsContrast MediaMagnetic Resonance ImagingAdultBreastFemaleGenerative Adversarial NetworksHumansMiddle AgedRetrospective StudiesContrast MediaBreast CancerDynamic Contrast-enhanced MRIImage-to-Image Conditional Generative Adversarial NetworkNeoadjuvant ChemotherapyVascular Permeability

Identifiers

PMID41347917
PMCPMC12865595

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.