Value of contrast-enhanced malignancy imaging features in secondary grade diagnosis of BI-RADS-US type 4 breast lesions

2020 ◽  
pp. 030089162096571
Author(s):  
Junxi Gao ◽  
Wei Han ◽  
Di Li Mu La Ti Ai Si Mu Tu La ◽  
Xueqin Hou ◽  
Zhi Ming Li ◽  
...  

Purpose: To explore the value of contrast-enhanced malignancy imaging features in secondary grade diagnosis of Breast Imaging Reporting and Data System for Ultrasonography (BI-RADS-US) type 4 breast lesions. Methods: After initial diagnosis by ultrasound, 124 BI-RADS-US type 4 patients with 130 lesions were examined by contrast-enhanced ultrasound (CEUS) and were classified again before surgery according to five contrast-enhanced malignancy imaging features: inhomogeneous enhancement, peripheral ring-like enhancement, expansive enhancement, internal filling defects, and surrounding radioactive convergence. Lesions with no contrast-enhanced features of malignancy were categorized as type 3; lesions with one, two, or three features of malignancy were categorized as type 4A, 4B, or 4C, respectively; and lesions with four or more indices of malignancy were categorized as type 5. The value of contrasted imaging features of malignancy in diagnosing BI-RADS-US type 4 breast lesions was analyzed. Results: The accuracy of CEUS diagnosis for type 3 lesions was 93.8% (46/49), 76.9% (10/13) for type 4A, 71.4% (5/7) for type 4B, 75.0% (9/12) for type 4C, and 93.8% (46/49) for type 5 lesions. The sensitivity of CEUS in diagnosing malignant lesions was 90.4%, specificity was 83.6%, and accuracy was 86.9%. CEUS decreased the benign lesion biopsy ratio to 68.5% (46/67) and increased the diagnosis ratio of malignant lesions to 73.0% (46/63). Conclusions: CEUS can further optimize the classification of BI-RADS-US type 4 breast lesions and may provide a better reference basis for clinical diagnosis and treatment of those breast lesions.

2020 ◽  
Vol 93 (1112) ◽  
pp. 20200195
Author(s):  
Jiamin Pan ◽  
Wenjuan Tong ◽  
Jia Luo ◽  
Jinyu Liang ◽  
Fushun Pan ◽  
...  

Objective: To compare the efficacy of contrast-enhanced ultrasound enabled reclassification of Breast Imaging Reporting and Data System (CEUS-BI-RADS) with MRI in the diagnosis of breast lesions with calcification. Methods: A total of 52 breast lesions with calcification from 51 patients were detected by ultrasound as hyperechoic foci and categorized as BI-RADS 3–5. The 51 patients further underwent CEUS scan and MRI. The ultrasound-BI-RADS combined with CEUS 5-point score system redefined the classification of BI-RADS which was called CEUS-BI-RADS. The diagnostic efficacy of three methods was assessed by receiver operating characteristic (ROC) curve analysis. Histopathological assessment used as the gold-standard. Results: The sensitivities of Ultrasound-BI-RADS, MRI classification of BI-RADS (MRI-BI-RADS) and CEUS-BI-RADS were 85%, 90% and 95% without significant difference among the three modalities (p > 0.05). The diagnostic specificities of ultrasound-BI-RADS, MRI-BI-RADS and CEUS-BI-RADS were 78.1%, 78.1% and 96.8%, respectively (p < 0.05); and the accuracy were 80.7%, 82.6% and 96.1% for ultrasound-BI-RADS, MRI-BI-RADS and CEUS-BI-RADS, respectively (p < 0.05). The area under ROC (AUROC) in differentiation of breast lesions with calcification was 0.945 for CEUS-BI-RADS, 0.907 for MRI-BI-RADS and 0.853 for ultrasound-BI-RADS, with no significant difference among the three modalities (p > 0.05). Conclusion: The CEUS-BI-RADS has a better diagnostic efficiency than MRI-BI-RADS in the differentiation of the breast lesions with calcification. Advances in knowledge: •CEUS is a better method in differentiation of breast lesions with calcification. •CEUS-BI-RADS increases the efficiency of diagnosis compared to MRI.


2021 ◽  
Vol 94 (1120) ◽  
pp. 20200880
Author(s):  
Fan Zhang ◽  
Lifang Jin ◽  
Gang Li ◽  
Chao Jia ◽  
Qiusheng Shi ◽  
...  

Objectives: To assess the value of contrast-enhanced ultrasound (CEUS) for diagnosing malignant non-mass breast lesions (NMLs) and to explore the CEUS diagnostic criteria. Methods: A total of 116 patients with 119 NMLs detected by conventional US were enrolled. Histopathological results were used as the reference standard. The enhancement characteristics of NMLs in CEUS were compared between malignant and benign NMLs. The CEUS diagnostic criteria for malignant NMLs were established using independent diagnostic indicators identified by binary logistic regression analysis. The diagnostic performance of Breast Imaging Reporting and Data System-US (BI-RADS-US), CEUS, and BI-RADS-US combined with CEUS was evaluated and compared. Results: Histopathological results showed 63 and 56 benign and malignant NMLs. Enhancement degree (OR = 5.75, p = 0.003), enhancement area (OR = 4.25, p = 0.005), and radial or penetrating vessels (OR = 7.54, p = 0.003) were independent diagnostic indicators included to establish the CEUS diagnostic criteria. The sensitivity and specificity of BI-RADS-US, CEUS, and BI-RADS-US combined with CEUS were 100 and 30.2%, 80.4 and 74.6%, and 94.6 and 77.8%, respectively; the corresponding areas under the receiver operating characteristic curve (AUC) were 0.819, 0.775, and 0.885, respectively. Conclusions: CEUS has a high specificity in malignant NML diagnosis based on the diagnostic criteria including enhancement degree, enhancement area, and radial or penetrating vessels, but with lower sensitivity than BI-RADS-US. The combination of CEUS and BI-RADS-US is an effective diagnostic tool with both high sensitivity and specificity for the diagnosis of malignant NMLs. Advances in knowledge: In this study, we assessed the diagnostic value of CEUS for malignant NMLs and constructed a feasible diagnostic criterion. We further revealed that the combination of CEUS and BI-RADS-US has a high diagnostic value for malignant NMLs.


2014 ◽  
Vol 4 (1) ◽  
pp. 23-33
Author(s):  
P Issar ◽  
SK Issar

Purpose: To assess the role of Dynamic contrast enhanced magnetic resonance imaging in characterization of breast lesions and to differentiate benign from malignant lesions on the basis of their morphology and enhancement kinetics. Material and Methods: Sixty patients referred to the department of Radiodiagnosis for breast MRI over a period of twenty months were included. Dynamic contrast enhanced (DCE) Magnetic Resonance Imaging (MRI) was performed to differentiate breast lesions on the basis of morphology and enhancement kinetics. The lesions were classified accordingly into type I (progressive enhancement) Type II (plateau) and Type III (washout) kinetics. Morphology and curves of benign and malignant lesions were compared. Result: fifty one benign lesions were detected in 32 patients and 29 malignant lesions were seen in 22 patients, whereas six patients showed normal MRI. It was found that benign lesion were round or oval in shape with well circumscribed margin and showed homogenous contrast enhancement whereas malignant lesions were irregular with spiculated margin and showed heterogenous contrast enhancement. The distribution curve types of benign lesion were Type I (81.25%-26cases), Type II (18.25%-6cases). For malignant lesions Type I (4.54%-1case), Type II (22.72%-5cases) and Type III (72.72%-16cases). Conclusion: The shape of the time- signal intensity curve were an important criteria in differentiating benign from malignant lesions in dynamic breast MR imaging. A type III time curve is a strong indicator of malignancy and is independent of other criteria. DOI: http://dx.doi.org/10.3126/njr.v4i1.11366 Nepalese Journal of Radiology, Vol.4(1) 2014: 23-33


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ernst Michael Jung ◽  
Friedrich Jung ◽  
Christian Stroszczynski ◽  
Isabel Wiesinger

AbstractThe aim of this present clinical pilot study is the display of typical perfusion results in patients with solid, non-cystic breast lesions. The lesions were characterized using contrast enhanced ultrasound (CEUS) with (i) time intensity curve analyses (TIC) and (ii) parametric color maps. The 24 asymptomatic patients included were genetically tested for having an elevated risk for breast cancer. At a center of early detection of familial ovary and breast cancer, those patients received annual MRI and grey-scale ultrasound. If lesions remained unclear or appeared even suspicious, those patients also received CEUS. CEUS was performed after intravenous application of sulfur hexafluoride microbubbles. Digital DICOM cine loops were continuously stored for one minute in PACS (picture archiving and communication system). Perfusion images and TIC analyses were calculated off-line with external perfusion software (VueBox). The lesion diameter ranged between 7 and 15 mm (mean 11 ± 3 mm). Five hypoechoic irregular lesions were scars, 6 lesions were benign and 12 lesions were highly suspicious for breast cancer with irregular enhancement at the margins and a partial wash out. In those 12 cases, histopathology confirmed breast cancer. All the suspicious lesions were correctly identified visually. For the perfusion analysis only Peak Enhancement (PE) and Area Under the Curve (AUC) added more information for correctly identifying the lesions. Typical for benign lesions is a prolonged contrast agent enhancement with lower PE and prolonged wash out, while scars are characterized typically by a reduced enhancement in the center. No differences (p = 0.428) were found in PE in the center of benign lesions (64.2 ± 28.9 dB), malignant lesions (88.1 ± 93.6 dB) and a scar (40.0 ± 17.0 dB). No significant differences (p = 0.174) were found for PE values at the margin of benign lesions (96.4 ± 144.9 dB), malignant lesions (54.3 ± 86.2 dB) or scar tissue (203.8 ± 218.9 dB). Significant differences (p < 0.001) were found in PE of the surrounding tissue when comparing benign lesions (33.6 ± 25.2 dB) to malignant lesions (15.7 ± 36.3 dB) and scars (277.2 ± 199.9 dB). No differences (p = 0.821) were found in AUC in the center of benign lesions (391.3 ± 213.7), malignant lesions (314.7 ± 643.9) and a scar (213.1 ± 124.5). No differences (p = 0.601) were found in AUC values of the margin of benign lesions (313.3 ± 372.8), malignant lesions (272.6 ± 566.4) or scar tissue (695.0 ± 360.6). Significant differences (p < 0.01) were found in AUC of the surrounding tissue for benign lesions (151.7 ± 127.8), malignant lesions (177.9 ± 1345.6) and scars (1091 ± 693.3). There were no differences in perfusion evaluation for mean transit time (mTT), rise time (RT) and time to peak (TTP) when comparing the center to the margins and the surrounding tissue. The CEUS perfusion parameters PE and AUC allow a very good assessment of the risk of malignant breast lesions and thus a downgrading of BI-RADS 4 lesions. The use of the external perfusion software (VueBox, Bracco, Milan, Italy) did not lead to any further improvement in the diagnosis of suspicious breast lesions and does appears not to have any additional diagnostic value in breast lesions.


2019 ◽  
Vol Volume 11 ◽  
pp. 2163-2170 ◽  
Author(s):  
Lina Tang ◽  
Yijie Chen ◽  
Zhongshi Du ◽  
Zhaoming Zhong ◽  
Qin Chen ◽  
...  

2021 ◽  
pp. 1-4
Author(s):  
Sathish babu ◽  
Arifkhan Sainudeen ◽  
Abdul Eksana

INTRODUCTION: Breast cancer is the most common cancer impacting 2.1 million women each year and also relates to the most cancer related deaths in women. In 2018, it was estimated that 627,000 women died from breast cancer which approximates to 15 % of all cancer related deaths among women [1]. The triple test– clinical examination, mammography and core biopsy helps in differentiating benign and malignant lesions. Histopathological examination is considered being the gold standard test for confirming malignant lesions and forms the basis of management. AIM: To assess sensitivity of mammogram with ultrasonography in diagnosing various breast lesions and to correlate the categorized breast lesions (BI-RADS) with histopathology reports and thereby obtain specificity and NPV of evaluation using Mammogram and ultrasonography. STUDY DESIGN: Retrospective analytical study. Study Period: July 2018 – July 2019. METHODS: The results of ultrasonography and mammography of 72 cases diagnosed clinically with breast lesions over the period of one year in tertiary health care hospital were compared with histopathology reports. RESULTS: The mean age of the patients was 45.65 ± 3.19. Our results showed that in histopathology reports in 20 patients (27.78%) were malignant, 51 cases (70.83%) had benign disease and 1 case 1.39% was borderline malignant. Fibroadenoma was the commonest benign lesion whereas infiltrating ductal carcinoma was the most common malignant lesion. Breast Imaging – Reporting and Data System (BIRADS) by mammogram revealed category II in 54.1%, III in 20.8%, IV in 16.6% and V in 8.3%. The specificity of mammography alone in diagnosing malignant breast lesions was 90.1%. When combined (ultrasound and mammogram), the specificity in diagnosing malignant breast lesion was 98.5% CONCLUSION: Mammography and sono-mammogram plays an important role in the diagnostic and surgical management of breast lesions with correlative histopathology evaluation. The diagnostic accuracy shows significant improvement when mammogram was combined with ultrasound correlation and thereby improving sensitivity and specificity of diagnosing malignant breast lesions.


Diagnostics ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 1244
Author(s):  
Sonja Schwarz ◽  
Dirk-André Clevert ◽  
Michael Ingrisch ◽  
Thomas Geyer ◽  
Vincent Schwarze ◽  
...  

Background: To evaluate the diagnostic accuracy of quantitative perfusion parameters in contrast-enhanced ultrasound to differentiate malignant from benign liver lesions. Methods: In this retrospective study 134 patients with a total of 139 focal liver lesions were included who underwent contrast enhanced ultrasound (CEUS) between 2008 and 2018. All examinations were performed by a single radiologist with more than 15 years of experience using a second-generation blood pool contrast agent. The standard of reference was histopathology (n = 60), MRI or CT (n = 75) or long-term CEUS follow up (n = 4). For post processing regions of interests were drawn both inside of target lesions and the liver background. Time–intensity curves were fitted to the CEUS DICOM dataset and the rise time (RT) of contrast enhancement until peak enhancement, and a late-phase ratio (LPR) of signal intensities within the lesion and the background tissue, were calculated and compared between malignant and benign liver lesion using Student’s t-test. Quantitative parameters were evaluated with respect to their diagnostic accuracy using receiver operator characteristic curves. Both features were then combined in a logistic regression model and the cumulated accuracy was assessed. Results: RT of benign lesions (14.8 ± 13.8 s, p = 0.005), and in a subgroup analysis, particular hemangiomas (23.4 ± 16.2 s, p < 0.001) differed significantly to malignant lesions (9.3 ± 3.8 s). The LPR was significantly different between benign (1.59 ± 1.59, p < 0.001) and malignant lesions (0.38 ± 0.23). Logistic regression analysis with RT and LPR combined showed a high diagnostic accuracy of quantitative CEUS parameters with areas under the curve of 0.923 (benign vs. malignant) and 0.929 (hemangioma vs. malignant. Conclusions: Quantified CEUS parameters are helpful to differentiate malignant from benign liver lesions, in particular in case of atypical hemangiomas.


2021 ◽  
Vol 49 (5) ◽  
pp. 030006052110106
Author(s):  
Shanhong Lin ◽  
Yong Cao ◽  
Libin Chen ◽  
Mei Chen ◽  
Shengmin Zhang ◽  
...  

We herein present a rare case of breast fibromatosis, the contrast-enhanced ultrasonography (CEUS) findings of which we believe have never been described. The high similarity between the clinical and imaging manifestations of breast cancer makes its differential diagnosis difficult. In this report, we describe the CEUS findings of a less common type of fibromatosis, discuss the potential value of CEUS to differentiate it from malignant breast lesions, and briefly review the literature.


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