Evidence map›Paper›PMID 39506986›Full record

ArticleSA journal of radiology2024

Utility of diffusion-weighted imaging in differentiating benign and malignant breast lesions.

Allen Johnson, Radha Sarawagi, Rajesh Malik, Jitendra Sharma, Abhinav Bhagat

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SA journal of radiology, 2024. 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

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

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

5 authors.

Allen JohnsonDepartment of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, India.ORCID https://orcid.org/0009-0009-7711-0412
Radha SarawagiDepartment of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, India.ORCID https://orcid.org/0000-0001-6640-3863
Rajesh MalikDepartment of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, India.ORCID https://orcid.org/0000-0002-2076-3916
Jitendra SharmaDepartment of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, India.ORCID https://orcid.org/0000-0001-6672-6494
Abhinav BhagatDepartment of Radiodiagnosis and Imaging, All India Institute of Medical Sciences, Bhopal, India.ORCID https://orcid.org/0009-0002-1097-9163

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Breast cancer presents a significant global health burden. An accurate differentiation between benign and malignant lesions is imperative for timely intervention. While dynamic contrast enhanced MRI (DCE-MRI) is highly sensitive, its specificity is limited. This has led to the exploration of diffusion-weighted imaging (DWI) in distinguishing between benign and malignant breast lesions. Objectives: The study aimed to explore the diagnostic utility of DWI in distinguishing between benign and malignant breast lesions. Method: Assessment of 38 breast lesions using DWI with a Results: ADC values of malignant lesions were significantly lower than those of benign lesions (0.84 × 10 Conclusion: Using a cut-off value of 0.98 × 10 Contribution: Utilising quantitative analysis of DWI with ADC value measurement, reliably distinguished between benign and malignant breast lesions in this cohort, especially when employing a higher

Indexed as

ADCbenignBI-RADSbreast cancermalignantMRIradiology

Identifiers

PMID39506986
PMCPMC11538155

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Registered trials

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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.