Diffusion Magnetic Resonance Imaging of the Breast

Pereira, Fernanda Philadelpho Arantes; Martins, Gabriela Botelho; Oliveira, Raquel de Vasconcellos Carvalhaes de

doi:10.1016/j.mric.2010.09.001

Cited by 53 publications

(61 citation statements)

References 53 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remaining 19 lesions were categorized as benign; the majority (17 cases) underwent histological evaluation, while 2 of them did not comprise tissue sampling, but instead were followed up and found to remain stable for a time period exceeding 2 years. The malignant lesions were mainly invasive ductal carcinomas (19), invasive lobular carcinomas (13) and ductal carcinoma in situ (2) and the benign lesions were mainly fibroadenomas (9), fibrocystic changes and sclerosis adenosis with no atypia (6) and papillomas with no atypia (2).…”

Section: Resultsmentioning

confidence: 99%

Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Bougias¹,

Ghiatas²,

Priovolos³

et al. 2016

The British Journal of Radiology

View full text Add to dashboard Cite

Objective: To prospectively assess the role of wholelesion apparent diffusion coefficient (ADC) metrics in the characterization of breast tumours by comparing ADC value with ADC entropy. Methods: 49 patients with 53 breast lesions underwent phased-array breast coil 1.5-T MRI. Two radiologists experienced in breast MRI, blinded to the final diagnosis, reviewed the ADC maps and placed a volume of interest on all slices including each lesion on the ADC map to obtain whole-lesion mean ADC value and ADC entropy. The mean ADC value and ADC entropy in benign and malignant lesions were compared by the Mann-Whitney U-test. Receiver-operating characteristic analysis was performed to assess the sensitivity and specificity of the two variables in the characterization of the breast lesions. Results: The benign (n 5 19) and malignant lesions (n 5 34) had mean diameters of 20.8 mm (10.1-31.5 mm) and 26.4 mm (10.5-42.3 mm), respectively. The mean ADC value of the malignant lesions was significantly lower than that of the benign ones (0.87 3 10 23 vs , the sensitivity and specificity for diagnosing malignancy became optimal (97.1% and 93.7, respectively) with an area under the curve (AUC) of 0.975. With regard to ADC entropy, the sensitivity and specificity at a cut-off of 5.18 were 67.6 and 68.7%, respectively, with an AUC of 0.664. Conclusion: Whole-lesion mean ADC could be a helpful index in the characterization of suspicious breast lesions, with higher sensitivity and specificity than ADC entropy. Advances in knowledge: Two separate parameters of the whole-lesion histogram were compared for their diagnostic accuracy in characterizing breast lesions. Mean ADC was found to be able to characterize breast lesions, whereas entropy proved to be unable to differentiate benign from malignant breast lesions. It is, however, likely that entropy may distinguish these two groups if a larger cohort were used, or the fact that this may be influenced by the molecular subtypes of breast cancers included.

show abstract

Section: Resultsmentioning

confidence: 99%

Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Bougias¹,

Ghiatas²,

Priovolos³

et al. 2016

The British Journal of Radiology

View full text Add to dashboard Cite

show abstract

“…The value of dpADC is calculated using two different ADC estimates and three different b-value images from DWI. More precise calculations can be accomplished with more number of images acquired with well selected b-values (20,21). The current study has been designed to assess the best dpADC model in differentiating the breast masses using DWI only.…”

Section: Discussionmentioning

confidence: 99%

“…The lowest b-value is set to be sufficiently high so as the model can describe the diffusion signal data appropriately (b≥50s/mm 2 is usually used) while the highest b-value should be chosen so as to provide adequate suppression of water signal from normal fibroglandular tissue and maximum breast lesion visibility (17) (The use of b≥800s/mm 2 is usually recommended (18,19)). Incorporating more than two b-values into the imaging protocol has been reported to provide more precise sampling of the diffusion signal and consistent ADC estimates (20,21).…”

mentioning

confidence: 99%

Dual-Phase ADC Modelling of Breast Masses in Diffusion-Weighted Imaging: Comparison with Histopathologic Findings

Ertaş

Onaygil

Bugdayci

et al. 2018

Eur J Breast Health

View full text Add to dashboard Cite

IntroductionDiffusion-weighted imaging (DWI) utilizes diffusion signal attenuated due to the random microscopic motion of water molecules influenced by cell density, membrane integrity, tissue microstructure, perfusion and diffusion heterogeneity within the tissue (1). When compared with benign lesions and healthy tissue, more restricted water mobility of malignant lesions engenders slower attenuation of the diffusion signal captured from a set of images acquired with different degrees of diffusion weighting (reported as b-value) (2).Quantitative diagnosis of cancer from DWI relies on metrics computed as the parameters of a "signal attenuation" model fitted to the diffusion signal data. The need for reliable and precise metrics motivates new studies on development of advanced models for better fittings to the diffusion signal data or advanced methods for optimized estimation of diffusion metrics (3). There exist several advanced exponential signal attenuation models such as stretched exponential (4), bi-exponential (known as intravoxel incoherent motion) (5), statistical (6) and kurtosis (7) capable of describing complex diffusion processes of the breast tissue. However, the parameters derived from these models are difficult to estimate and quite complex for use in diagnosis. For instance, physiological basis of the heterogeneity index of the stretched exponential model is reported to be uncertain and likewise pseudo-diffusion coefficient of the biexponential model is thought to be unreliable (8). On the other hand, these models involve several parameters that complicate both the diffusion estimation process and the diffusion weighted imaging protocol. To get accurate diffusion estimates, the initial value and the limits for any model parameter should be determined very carefully and an appropriate optimization method should be employed (9). To reach consistent numerical solutions, the number of b-values of the diffusion weighted imaging protocol must set to be more than the number of parameters in the model and Eur J Breast Health 2018; 14: 85-92 DOI: 10.5152/ejbh.2018.3829 85 ABSTRACT Objective: To investigate the diagnostic value of dual-phase apparent diffusion coefficient (ADC) compared to traditional ADC values in quantitative diffusion-weighted imaging (DWI) for differentiating between benign and malignant breast masses. Materials and Methods:Diffusion-weighted images of pathologically confirmed 88 benign and 85 malignant lesions acquired using a 3.0T MR scanner were analyzed. Small region-of-interests focusing on the highest signal intensity of lesions were used. Lesion ADC estimates were obtained separately from all b-value images (ADC; b=50, 400 and 800s/mm 2 ), lower b-value images (ADC low ; b=50 and 400s/mm 2 ) and higher b-value images (ADC high ; b=400 and 800s/mm 2 ). A set of dual-phase ADC (dpADC) models were constructed using ADC low , ADC high and a perfusion influence factor ranging from 0 to 1. Results:Strong positive correlation is observable between ADC and all dpADCs (ρ=0.80-1.00). ...

show abstract

“…It has also shown to be very useful in tumour detection [18]. DWI has been useful in imaging liver [24], prostate [25,26] and breast cancers [24], among others. Diffusion weighted imaging has shown potential in differentiating benign from malignant lesions [24].…”

Section: Role Of Diagnostic Radiology In Interventional Oncologymentioning

confidence: 99%

“…DWI has been useful in imaging liver [24], prostate [25,26] and breast cancers [24], among others. Diffusion weighted imaging has shown potential in differentiating benign from malignant lesions [24]. In prostate cancer, specially tailored DWI sequences with ultra high b-value have been shown to improve the diagnostic accuracy of MR imaging [27].…”

Section: Role Of Diagnostic Radiology In Interventional Oncologymentioning

confidence: 99%

Emerging Trends in Oncology: Greater Role for Radiology

Loong¹

2013

J Med Diagn Meth

View full text Add to dashboard Cite

Interventional oncology is a rapidly emerging technologydriven subspecialty within radiology. Several notable therapeutic developments over the last few years offer patients hope in the fight against cancer, especially when conventional therapy has failed or is deemed unsuitable. Within the field of diagnostic radiology, functional imaging has also emerged as an essential tool in the fight against cancer, given its ability to predict tumour response earlier than anatomical imaging, as well as detect early recurrence.

show abstract

Diffusion Magnetic Resonance Imaging of the Breast

Cited by 53 publications

References 53 publications

Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Whole-lesion apparent diffusion coefficient (ADC) metrics as a marker of breast tumour characterization—comparison between ADC value and ADC entropy

Dual-Phase ADC Modelling of Breast Masses in Diffusion-Weighted Imaging: Comparison with Histopathologic Findings

Emerging Trends in Oncology: Greater Role for Radiology

Contact Info

Product

Resources

About