The Role of Doppler Sonography in Distinguishing Malignant from Benign Breast Lesions

Davoudi, Yasmin; Borhani, Barat; Rad, Masoud Pezeshki; Matin, Nassim

doi:10.1016/j.jmu.2013.12.001

Cited by 22 publications

(26 citation statements)

References 17 publications

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“…High values of SV and DV observed in the present study have been described as satisfactory indicators of malignancy in mammary masses in humans [13,39,40,41,42] and animals [10]. Furthermore, the findings from this study on high/low resistivity patterns are suggestive of malignancy, as previously described [8,14,15], and may be correlated to the presence of tortuous vascular networks in malignant tumors [14] and demonstrate the influence of neoplastic vascular organization (neovascularization characteristics) in tumoral nutrition [10,14]. It is important to note that diastolic velocity and blood flow patterns had not yet been described in the literature as predictors of malignancy in mammary tumors.…”

Section: Discussionsupporting

confidence: 89%

Ultrasonography methods for predicting malignancy in canine mammary tumors

et al. 2017

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The aim of this study was to evaluate and compare the efficacy of B-mode, Doppler, contrast-enhanced ultrasonography (CEUS), and Acoustic Radiation Force Impulse (ARFI) elastography in predicting malignancy in canine mammary masses. This was a prospective cohort study from 2014 to 2016, which included 153 bitches with one or more mammary masses. A total of 300 masses were evaluated by ultrasonography (B-mode, Doppler, CEUS, and ARFI) and subsequently classified as benign or malignant by histopathology. Each ultrasound parameters studied were compared between benign and malignant masses by Chi-square or Student tests and differences were considered significant when P < 0.01. For the variables that proved significant differences were estimated the cut-off point, sensitivity, specificity, accuracy, and area under curve (AUC) by receiver-operating characteristic curve (ROC) analysis in a logistic regression model using histopathological classification as reference, to assess and compare diagnostic performance of each technique. Out of 300 mammary masses evaluated 246 were classified as malignant and 54 as benign. B-mode measurements showed sensitivity 67.9%, and specificity 67.6% as malignancy predictors on canine mammary masses; Doppler indexes systolic (>21.2 m/s) and diastolic velocity (>4.8 m/s) sensitivity 79.2% and specificity 70.8%; CEUS wash-out time (<80.5 s) sensitivity 80.2% and specificity 16.7%; and ARFI elastography shear velocity (SWV > 2.57 m/s) sensitivity 94.7% and specificity 97.2% In conclusion B-mode and Doppler ultrasound evaluations may assist in malignancy prediction of canine mammary masses with moderate sensitivity and specificity, already the SWV was an great accurate predictor. Therefore, ARFI elastography exam inclusion in veterinary clinic oncology and research is highly recommended, since it allows fast, non-invasive, and complication-free malignancy prediction of canine mammary masses.

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Section: Discussionsupporting

confidence: 89%

Ultrasonography methods for predicting malignancy in canine mammary tumors

et al. 2017

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“…Conventional CDI and PDI have facilitated the diagnosis of breast lesions for more than 20 y. Consistently, these flow techniques detect more flow signals in malignant breast lesions (Blohmer et al 1999;Davoudi et al 2014;Milz et al 2001;Stanzani et al 2014), especially in the center, with more branching and irregular vessels (Milz et al 2001;Sencha et al 2013;Stanzani et al 2014). Newly formed vessels penetrating the lesion from the periphery to the center can be readily observed.…”

Section: Discussionmentioning

confidence: 81%

“…Therefore, a semi-quantitative method was introduced to diagnose malignant breast lesions (Adler et al 1990;Moon et al 2000;Schroeder et al 2003) and revealed that malignant lesions generally possess enriched flow signals (Huang et al 2013). This finding led to inclusion of hypervascularity as a criterion for further differentiation (Davoudi et al 2014;Gokalp et al 2009). In the current work, we adopted this semi-quantitative method for the SMI categorization of malignant breast lesions and found that 33 of 41 malignant lesions were hypervascular, as opposed to only 18 of 94 benign lesions.…”

Section: Discussionmentioning

confidence: 99%

Application of a Novel Microvascular Imaging Technique in Breast Lesion Evaluation

Zhao

Zhou

Liu

et al. 2016

Ultrasound in Medicine & Biology

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“…All the tumors evaluated showed signs of neovascularization and high vascular indexes, both of which are reported indicators of malignancy. 2,7,17 Although it was expected that the high-grade carcinomas would induce greater vascular development to ensure their growth, these changes were neither detected by Doppler ultrasonography nor were the tissue alterations that occurred within these tumors, such as central necrosis, which enables aggressive behavior without the need for an exacerbated blood supply. 11,18 Contrast-enhanced ultrasonography, which enables the noninvasive evaluation of tissue perfusion, identified complex carcinomas with moderate accuracy, due to the shorter periods of contrast wash-in and peak enhancement times observed in this type of tumor.…”

Section: Discussionmentioning

confidence: 99%

Accuracy of four ultrasonography techniques in predicting histopathological classification of canine mammary carcinomas

Feliciano

Ramirez

Maronezi

et al. 2018

Vet Radiology Ultrasound

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Due to the importance of presurgical, noninvasive, and accurate diagnostic tools in mammary carcinoma characterization, this prospective secondary observational cohort study was designed to evaluate and compare the diagnostic accuracy of B-mode, Doppler, contrast enhancement ultrasonography, or acoustic radiation force impulse-elastography in identifying mammary carcinomas types with high degree of malignancy. A total of 246 mammary carcinomas from 141 female dogs were analyzed using B-mode, Doppler, contrast enhancement ultrasonography, and acoustic radiation force impulse ultrasonography prior to their histopathological classification according to types (simple, complex, or special) and grade (I, II, or III). Qualitative and quantitative variables were compared between carcinoma types and grades by Fisher's or analysis of variance. Diagnostic performance was estimated by receiver-operating characteristic analysis, using histopathological classification as a reference. Deformability (acoustic radiation force impulse) had a diagnostic specificity of 100% and sensitivity of 12% in identifying special carcinomas. A width:length ratio greater than 0.53 can be suggestive of special carcinoma, with 80% sensitivity and 76% specificity. Contrast wash-in and peak enhancement times lower than 7.5 and 13.5 s, respectively, were indicative of complex carcinoma at 62% sensitivity and 60% specificity. Contrast wash-in, peak enhancement, and wash-out times greater than 6.5, 12.5, and 64.5 s, respectively; were indicative of grade II and III carcinoma at 68% sensitivity and 62% specificity. In conclusion, B-mode ultrasonography, contrast enhancement ultrasonography, and acoustic radiation force impulse-elastography enabled the identification of some of the characteristics of high-grade mammary carcinoma types and grades in female dogs with limited accuracy. The findings from this study may contribute to oncology research and clinical management canine patients.

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The Role of Doppler Sonography in Distinguishing Malignant from Benign Breast Lesions

Cited by 22 publications

References 17 publications

Ultrasonography methods for predicting malignancy in canine mammary tumors

Ultrasonography methods for predicting malignancy in canine mammary tumors

Application of a Novel Microvascular Imaging Technique in Breast Lesion Evaluation

Accuracy of four ultrasonography techniques in predicting histopathological classification of canine mammary carcinomas

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