Evidence map›Paper›PMID 40201355›Full record

ArticleFrontiers in oncology2025

Advantages of time-dependent diffusion MRI for quantitative microstructural mapping in breast tumors.

Lei Bao, Sijie Li, Zhuo Wang, Yang Sun, Ying Qiu, Zhiwei Shen, Xiaoxiao Zhang, Xue Chen, Xiaoxiao Zhang, Junyu Zhang and 1 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

11 authors.

Lei Bao *The First Hospital of Jilin University, Department of Radiology, Changchun, Jilin, China.
Sijie Li *The First Hospital of Jilin University, Department of Breast Surgery, Changchun, Jilin, China.
Zhuo WangThe First Hospital of Jilin University, Department of Radiology, Changchun, Jilin, China.
Yang SunThe First Hospital of Jilin University, Department of Radiology, Changchun, Jilin, China.
Ying QiuThe First Hospital of Jilin University, Department of Radiology, Changchun, Jilin, China.
Zhiwei ShenDepartment of Clinical, Philips Healthcare, Beijing, China.
Xiaoxiao ZhangDepartment of Clinical, Philips Healthcare, Beijing, China.
Xue ChenThe First Hospital of Jilin University, Department of Radiology, Changchun, Jilin, China.
Xiaoxiao ZhangThe First Hospital of Jilin University, Department of Breast Surgery, Changchun, Jilin, China.
Junyu ZhangThe First Hospital of Jilin University, Department of Breast Surgery, Changchun, Jilin, China.
Tiefeng JiThe First Hospital of Jilin University, Department of Radiology, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Time-dependent diffusion MRI (TD-MRI) can measure tumor tissue microstructure, but its effectiveness in differentiating benign from malignant breast tumors is unclear. This study aims to investigate the diagnostic value of TD-MRI microstructural features for distinguishing between benign and malignant breast tumors. Methods: This prospective study included 44 patients with malignant breast tumors and 28 with benign tumors. All subjects underwent the IMPULSED protocol on a 3.0-T MRI scanner. Imaging data were analyzed using least squares fitting in MATLAB, yielding Dex (extracellular diffusivity), Vin (intracellular volume fraction), Dmean (cell diameter), Vin/Dmean, and ADC values. The molecular subtypes of breast cancer are classified based on immunohistochemistry (IHC) results. Results: Malignant tumors exhibited significantly lower Dmean (17.37 ± 2.74 µm Conclusion: TD-MRI microstructure mapping effectively differentiates benign from malignant breast tumors, highlighting its potential to improve diagnostic accuracy for lesions.

Indexed as

ADCbreast tumordiagnostic efficacymicrostructural characteristicstime-dependent diffusion MRI

Identifiers

PMID40201355
PMCPMC11975858

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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.