Evidence map›Paper›PMID 27308073›Full record

ArticleBalkan medical journal2016

Value of Apparent Diffusion Coefficient Values in Differentiating Malignant and Benign Breast Lesions.

Tuğba Bozkurt Bostan, Gonca Koç, Gülten Sezgin, Canan Altay, M Fazıl Gelal, Orhan Oyar

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Article in Balkan medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

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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.

Tuğba Bozkurt BostanDepartment of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital.
Gonca KoçDepartment of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital.
Gülten SezginDepartment of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital.
Canan AltayDepartment of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital.
M Fazıl GelalDepartment of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital.
Orhan OyarDepartment of Radiology, İzmir Kâtip Çelebi University Atatürk Training and Research Hospital.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMagnetic resonance imaging (MRI) has become a diagnostic and problem solving method for the breast examinations in addition to conventional breast examination methods. Diffusion-weighted imaging (DWI) adds valuable information to conventional MRI.

aimsOur aim was to show the impact of apparent diffusion coefficient (ADC) values acquired with DWI to differentiate benign and malignant breast lesions. STUDY

designDiagnostic accuracy study.

methodsForty-six women with 58 breast masses (35 malignant, 23 benign) were examined on a 1.5 T clinical MRI scanner. The morphologic characteristics of the lesions on conventional MRI sequences and contrast uptake pattern were assessed. ADC values of both lesions and normal breast parenchyma were measured. The ADC values obtained were statistically compared with the histopathologic results using Paired Samples t-Test.

resultsMultiple lesions were detected in 12 (26%) of the patients, while only one lesion was detected in 34 (74%). Overall, 35 lesions out of 58 were histopathologically proven to be malignant. In the dynamic contrast-enhanced series, 5 of the malignant lesions were type 1, while 8 benign lesions revealed either type 2 or 3 time signal intensity curves (85% sensitivity, 56% spesifity). Mean ADC values were significantly different in malignant vs. benign lesions. (1.04±0.29×10(-3) cm(2)/sec vs. 1.61±0.50×10(-3) cm(2)/sec for the malignant and benign lesions, respectively, p=0.03). A cut-off value of 1.30×10(-3) mm(2)/sec for ADC detected with receiver operating characteristic analysis yielded 89.1% sensitivity and 100% specificity for the differentiation between benign and malignant lesions.

conclusionADC values improve the diagnostic accuracy of solid breast lesions when evaluated with the conventional MRI sequences. Therefore, DWI should be incorporated to routine breast MRI protocol.

Indexed as

Apparent diffusion coefficient valuebreast magnetic resonance imagingdiffusion-weighted imaging

Identifiers

PMID27308073
PMCPMC4898988

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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.