Evidence map›Paper›PMID 41745704›Full record

ArticleTomography (Ann Arbor, Mich.)2026

Dynamic Contrast-Enhanced MRI Kinetic Curve-Driven Parametric Radiomics for Predicting Breast Cancer Molecular Subtypes: A Multicenter and Interpretable Study.

Ting Wang, Jing Gong, Simin Wang, Shiyun Sun, Jiayin Zhou, Luyi Lin, Dandan Zhang, Chao You, Yajia Gu

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Tomography (Ann Arbor, Mich.), 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

9 authors.

Ting WangDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Jing GongDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Simin WangDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Shiyun SunDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Jiayin ZhouDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Luyi LinDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Dandan ZhangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200127, China.
Chao YouDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.
Yajia GuDepartment of Radiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China.

Funding

AI for Science Foundation of Fudan University FudanX24AI069Key Project of National Natural Science Foundation of China 82430061National Natural Science Foundation of China 82271957 and 82572174Shanghai Explorer Program 24TS1411300
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Breast NeoplasmsDynamic Contrast Enhanced Magnetic Resonance ImagingRadiomicsAdultAgedContrast MediaFemaleHumansMiddle AgedPredictive Value of TestsRetrospective StudiesContrast Mediabreast cancerdynamic contrast-enhanced magnetic resonance imagingradiomicstime-intensity curve

Identifiers

PMID41745704
PMCPMC12944185

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.