Diffusion-weighted imaging with fat suppression using short-tau inversion recovery: Clinical utility for diagnosis of breast lesions

Ouyang, Zubin; Ouyang, Yu; Zhu, Mingqing; Lu, Yen‐Shen; Zhang, Z.; Shi, Jun; Li, X.; Ren, Guosheng

doi:10.1016/j.crad.2014.04.004

Cited by 19 publications

(20 citation statements)

References 21 publications

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“…These results also agree with a previous study that reported higher fat content in benign compared to malignant lesions. 36 The diagnostic performance of breast DWI relies on the individual ADC value and established thresholds for lesion discrimination. 37 In a recent meta-analysis ADC cut-off values to differentiate benign from malignant lesions have been reported ranging from 1.1 Â 10 À3 to 1.6 Â 10 À3 mm 2 / s. 38 The thresholds used in the present study are in the range of those previously reported for b-values 0 and 1000 s/mm 2 (1.46 Â 10 À3 mm 2 /s for DWI-SPAIR and 1.42 Â 10 À3 mm 2 /s for DWI-STIR).…”

Section: Discussionmentioning

confidence: 99%

Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance

et al. 2015

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“…The current results were consistent with several previous studies, in which the usefulness of ADC values for differential diagnosis between benign and malignant lesions has been reported, either at 1.5T or 3.0T MRI . The published ADC values varied among different studies, perhaps due to different patient populations and scanning conditions (eg, magnetic strength and b ‐value used).…”

Section: Discussionmentioning

confidence: 99%

“…Overall, the accuracy levels we found for the ADC histogram parameters in differentiating benign and malignant lesions lie within the reported ranges . The minimum ADC was the unique independent predictor of breast malignancy indicated by the multivariate logistic regression analysis.…”

Section: Discussionmentioning

confidence: 99%

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Characterization of breast masses as benign or malignant at 3.0T MRI with whole-lesion histogram analysis of the apparent diffusion coefficient

Suo

Zhang

Cao

et al. 2015

J. Magn. Reson. Imaging

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“…[21][22][23][24][25][26] This may be attributable to breast tumour heterogeneity, with the most aggressive part being located anywhere within the tumour volume, whereas ADC is traditionally measured as the average value within a region of interest just a single-slice thick.…”

Section: Discussionmentioning

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

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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.

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Diffusion-weighted imaging with fat suppression using short-tau inversion recovery: Clinical utility for diagnosis of breast lesions

Cited by 19 publications

References 21 publications

Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance

Breast DWI at 3 T: influence of the fat-suppression technique on image quality and diagnostic performance

Characterization of breast masses as benign or malignant at 3.0T MRI with whole-lesion histogram analysis of the apparent diffusion coefficient

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

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