Evidence map›Paper›PMID 42279418›Full record

ArticleCancers2026

Deep Learning-Based Synthetic Contrast-Enhanced Breast MRI for Monitoring Response to Neoadjuvant Therapy.

Suleeporn Sujichantararat, Debosmita Biswas, Anum S Kazerouni, Edric D Tsang, Aditi Sathe, Daniel S Hippe, Vivian Y Park, Maggie Chung, Jennifer M Specht, Suzanne M Dintzis and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Suleeporn SujichantararatDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-6564-9316
Debosmita BiswasDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-0798-5637
Anum S KazerouniDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-4200-534X
Edric D TsangDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.
Aditi SatheDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.
Daniel S HippeClinical Research Division, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA.
Vivian Y ParkDepartment of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul 03722, Republic of Korea.ORCID 0000-0002-5135-4058
Maggie ChungDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA.
Jennifer M SpechtDivision of Hematology and Oncology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0003-1484-2113
Suzanne M DintzisDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-9762-030X
Habib RahbarDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.
James H HolmesDepartments of Radiology, Biomedical Engineering, and Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USA.ORCID 0000-0002-0936-3700
Wei HuangDepartment of Radiation Oncology, Research Institute, Corewell Health, Royal Oak, MI 48073, USA.
Savannah C PartridgeDepartment of Radiology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0001-6370-9111

Funding

NIH HHS 1R01CA190299-05NIH HHS 1R01CA248192-04
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

breastcancergadoliniumMRIneoadjuvant therapy (NAT)pathologic complete response (pCR)residual cancer burden (RCB)synthetic contrast-enhanced MRI modelingtreatment response

Identifiers

PMID42279418
PMCPMC13256508

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.