Evidence map›Paper›PMID 42713178›Full record

ArticlePolish journal of radiology2026

Fractal analysis of tumor subregions differentiates benign from malignant breast lesions.

Lei Jiang, Run Xu, Lingdi Qin, Zeyang Miao, Dan Yu, Peng Luo, Guanwu Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polish journal of radiology, 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

7 authors.

Lei Jiang *Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Run Xu *Department of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Lingdi QinDepartment of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Zeyang MiaoDepartment of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Dan YuUnited Imaging Research Institute of Intelligent Imaging, Beijing, China.
Peng LuoDepartment of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Guanwu LiDepartment of Radiology, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to evaluate the effectiveness of fractal analysis in distinguishing between benign and malignant breast lesions based on tumor subregion complexity and spatial heterogeneity. Material and methods: Breast diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data from biopsy- and surgery-confirmed malignant ( Results: The overall Dice similarity coefficient across all lesion classes was 0.86 (95% confidence interval [CI]: 0.79-0.96). The inter-reader reliability was excellent, with intraclass correlation coefficients > 0.90 for FD. Significant differences were observed between malignant and benign lesions in hypervascular cellular FD ( Conclusions: Subregional FD of tumor habitats demonstrated superior diagnostic accuracy in differentiating between benign malignant breast tumors compared to the heterogeneity of the whole lesion.

Indexed as

breast tumorfractal dimensionhabitat imagingheterogeneitymagnetic resonance imaging

Identifiers

PMID42713178
PMCPMC13552486

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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.