Evidence map›Paper›PMID 39429423›Full record

ArticleCureus2024

Usefulness of Combined Advanced Dynamic Contrast-Enhanced and Diffusion-Weighted MRI Over Ultrasonography in Differentiating Cancer From Benign Lesions in Dense Breasts.

Divya Muthuvel, Sudipta Mohakud, Nerbadyswari Deep, Dillip Muduly, Pankaj Kumar, Pritinanda Mishra, Suprava Naik

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Divya MuthuvelRadiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.
Sudipta MohakudRadiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.
Nerbadyswari DeepRadiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.
Dillip MudulySurgical Oncology, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.
Pankaj KumarGeneral Surgery, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.
Pritinanda MishraPathology, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.
Suprava NaikRadiodiagnosis, All India Institute of Medical Sciences, Bhubaneswar, Bhubaneswar, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim To evaluate the role of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) in characterizing suspicious lesions in dense breasts compared to ultrasonography (USG). Materials and methods Eighty-two consecutive female patients with suspicious lesions in dense breast parenchyma showing the American College of Radiology Breast Imaging Reporting And Data System (ACR BI-RADS) c/d composition on mammography underwent USG, where 63 lesions of 63 patients were suspicious. They underwent multiparametric MRI, followed by histopathological evaluation (HPE) of the lesions. Statistical analysis was done to calculate the sensitivity, specificity, and accuracy of USG and MRI in lesion characterization and the combined accuracy of DCE-MRI with DWI. The receiver operating characteristic (ROC) curve analysis provided the cut-off for the apparent diffusion coefficient (ADC) value. Results The sensitivity, specificity, and accuracy of USG were 91.7%, 63%, and 79.4%, respectively. Kinetic curve analysis on DCE-MRI showed a type I curve only in benign lesions. Malignant lesions predominantly showed a type III curve. The sensitivity, specificity, and accuracy of DCE-MRI were 95.8%, 78.5%, and 85.7%, respectively. The optimum cut-off ADC value was 1.05x10-3 mm

Indexed as

breast cancerbreast neoplasmsbreast ultrasonographydiffusion magnetic resonance imagingmultiparametric magnetic resonance imaging

Identifiers

PMID39429423
PMCPMC11487457

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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.