Evidence map›Paper›PMID 19902330›Full record

ArticleLa Radiologia medica2010

Diffusion-weighted imaging in breast lesion evaluation.

P Belli, M Costantini, E Bufi, A Magistrelli, G La Torre, L Bonomo

Registry-linked trialAbstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05384535 (Utility of Biparametric MRI), which is not on this map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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.

NCT05384535 narecruitingnot on this mapstarted 2022, after this paper: background citation

Utility of Biparametric MRI (Magnetic Resonance Imaging) as a Screening Tool for Prostate Cancer in a High-Risk Cohort

TypeinterventionalSponsorNorthwell HealthRan2022 to 2028Enrolled100ConditionsProstate Cancer, Magnetic Resonance Imaging, Population at RiskArmsBi-parametric MRI
3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

6 authors.

P BelliDepartment of Bio-Imaging and Radiological Sciences, Università Cattolica del Sacro Cuore, Rome, Italy. pbelli@rm.unicatt.it
M Costantini
E Bufi
A Magistrelli
G La Torre
L Bonomo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose of this study was to investigate the ability of diffusion-weighted imaging (DWI) and the apparent diffusion coefficient (ADC) in the detection and characterisation of breast lesions. MATERIALS AND

methodsFrom September 2005 to September 2007, 86 patients with breast lesions who underwent magnetic resonance imaging (MRI) in our department were included in our study. MRI was performed with a 1.5-T unit using a standard protocol including DWI sequence. For each breast lesion, the ADC value was calculated and compared with that of normal breast tissue and to the definitive pathological diagnosis. Mann-Whitney U and Kruskal-Wallis tests were used for statistical analysis.

resultsA total of 126 breast lesions were detected. Pathology results revealed 100 malignant and 26 benign lesions. Mean diameter of lesions was 26.02 mm (range 4-90 mm), including 52 lesions <or=15 mm in size. Mean ADC value of normal glandular tissue was 1.55x10(-3) mm(2)/s. Mean ADC value of malignant lesions was 0.97x10(-3) mm(2)/s. Mean ADC value for benign lesions was 1.66x10(-3) mm(2)/s. Benign lesions showed ADC values significantly higher than malignant lesions (p<0.0001).

conclusionsDWI provides reliable information to support MRI diagnosis of breast masses. ADC value appears a promising adjunctive parameter in distinguishing malignant from benign breast lesions.

Indexed as

Diffusion Magnetic Resonance ImagingAlgorithmsBreast DiseasesBreast NeoplasmsDiagnosis, DifferentialFemaleHumansImage Interpretation, Computer-AssistedPredictive Value of TestsRetrospective StudiesROC CurveStatistics, Nonparametric

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Registered trials

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