Evidence map›Paper›PMID 40213596›Full record

ArticleAdvanced biomedical research2025

Determining the Diagnostic Value of DWIBS in the Diagnosis of Breast Lesions Compared to Dynamic Contrast-Enhanced MRI: A Retrospective Observational Study.

Maryam Farghadani, Safura Mozafari, Maryam Riahinejad, Mashid Haghighi, Reza Eshraghi Samani, Amir Mohammad Taravati, Koushan Rostami, Seyedeh Ghazal Shahrokh, Arezoo Sadeghian

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Article in Advanced biomedical research, 2025. 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

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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

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.

Maryam FarghadaniDepartment of Radiology, School of Medicine, Isfahan University of Medical Science, Hezar Jerib Ave, Isfahan, Iran.
Safura MozafariDepartment of Emergency Medicine, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Maryam RiahinejadDepartment of Radiology, School of Medicine, Isfahan University of Medical Science, Hezar Jerib Ave, Isfahan, Iran.
Mashid HaghighiDepartment of Radiology, School of Medicine, Isfahan University of Medical Science, Hezar Jerib Ave, Isfahan, Iran.
Reza Eshraghi SamaniDepartment of Surgery, School of Medicine, Isfahan University of Medical Science, Hezar Jerib Ave, Isfahan, Iran.
Amir Mohammad TaravatiDepartment of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Koushan RostamiDepartment of Radiology, School of Medicine, Yazd University of Medical Sciences, Yazd, Iran.
Seyedeh Ghazal ShahrokhDepartment of Radiology, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Arezoo SadeghianDepartment of Radiology, School of Medicine, Isfahan University of Medical Science, Hezar Jerib Ave, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diffusion-weighted imaging with background body signal suppression (DWIBS) is a new imaging tool for the diagnosis of breast lesions. This study aims to compare DWIBS with contrast-enhanced magnetic resonance imaging (CE-MRI) sequences. Materials and Methods: Eighty consecutive patients underwent both CE-MRI and DWIBS images. DWIBS was assessed qualitatively and quantitatively using the apparent diffusion coefficient mapping. A threshold of 1.44 × 10 Results: Fifty-five out of 80 lesions (69%) were benign, and 25 malignant lesions (31%) have been reported. The sensitivity, specificity, positive predictive value, and negative predictive value for CE-MRI were 100, 38, 42, and 100%, respectively, and those for DWIBS were 77, 70, 53, and 87%, respectively. By comparing DWIBS and CE-MRI data, no statistically significant difference was reported. Conclusion: DWIBS can be used as an effective alternative for breast CE-MRI in cases of contradictions of IV contrast injection.

Indexed as

Breast cancerdiffusion magnetic resonance imagingmagnetic resonance imaging

Identifiers

PMID40213596
PMCPMC11981034

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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.