scholarly journals Screening of breast lesions: a comparative study between mammography, B-mode ultrasonography, sonoelastography and histological results

2013 ◽  
Vol 46 (4) ◽  
pp. 214-220 ◽  
Author(s):  
Raquel Constantino Pardal ◽  
António Fernando Lagem Abrantes ◽  
Luís Pedro Vieira Ribeiro ◽  
Rui Pedro Pereira Almeida ◽  
Kevin Barros Azevedo ◽  
...  
Keyword(s):  
Sensitivity And Specificity ◽  
Roc Curve ◽  
Operating Characteristic ◽  
Lower Sensitivity ◽  
Histopathological Analysis ◽  
Breast Lesions ◽  
Promising Technique ◽  
Malignant Breast ◽  
Malignant Lesions ◽  
Histological Results

Objective To compare the capacity of mammography, sonoelastography, B-mode ultrasonography and histological analysis to differentiate benign from malignant breast lesions. Materials and Methods A total of 12 histopathologically confirmed breast lesions were documented. The lesions were assessed by means of mammography, B-mode ultrasonography and sonoelastography, and histopathological analysis was utilized as a gold standard. Sensitivity and specificity were calculated. A receiver operating characteristic (ROC) curve was constructed to evaluate the diagnostic performance of the mentioned techniques. Results Sensitivity and specificity in the differentiation between benign and malignant lesions were respectively 100% and 50% for mammography, 100% and 71% for B-mode ultrasonography, and 67% and 83% for sonoelastography. The area under the ROC curve was calculated for the three imaging modalities and corresponded to 0.792 for mammography, 0.847 for B-mode ultrasonography, and 0.806 for sonoelastography. Conclusion Sonoelastography demonstrated higher specificity and lower sensitivity as compared with mammography and B-mode ultrasonography. On the other hand, B-mode ultrasonography had the largest area under the ROC curve. Sonoelastography has demonstrated to be a promising technique to detect and evaluate breast lesions, and could potentially reduce the number of unnecessary biopsies.

201Tl Scintigraphy in the Evaluation of Palpable and Nonpalpable Breast Lesions: Correlation with Mammography and Ultrasonography

1997 ◽  
Vol 36 (08) ◽  
pp. 282-288 ◽  
Author(s):  
T. Atasever ◽  
A. Özdemir ◽  
I. Öznur ◽  
N. I. Karabacak ◽  
N. Gökçora ◽  
...  
Keyword(s):  
Final Diagnosis ◽  
Lower Sensitivity ◽  
Breast Lesions ◽  
Breast Cancers ◽  
Combined Use ◽  
Malignant Breast ◽  
Malignant Lesions ◽  
Benign Breast Lesions ◽  
Palpable Breast ◽  
Metastatic Sites

Summary Aim: Our goal was to determine the clinical usefulness of TI-201 to identify breast cancer in patients with suspicious breast lesions on clinical examination, and/or abnormal radiologic (mammography and/or ultrasonography) findings. Methods: TI-201 scintigraphy were performed in sixty-eight patients with 70 breast abnormalities (51 palpable, 19 nonpalpable) and compared with mammography and ultrasonography (US). Early (15 min) and late (3 h) images of the breasts were obtained following the injection of 111 MBq (3 mCi) of TI-201. Visual and semiquantitative interpretation was performed. Results: Final diagnosis confirmed 52 malignant breast lesions and 18 benign conditions. TI-201 visualized 47 of 52 (90%) overall malignant lesions. Thirty-eight of 40 (95%) palpable and 9 of 12 (75%) nonpalpable breast cancers were detected by TI-201 scintigraphy. The smallest mass lesion detected by TI-201 measured 1.5x1.0 cm. Eleven breast lesions were interpreted as indeterminate by mammography and/or sonography. TI-201 scintigraphy excluded malignancy in 7 of 8 (88%) patients with benign breast lesions interpreted as indeterminate. Five of the 18 (28%) benign breast lesions showed TI-201 uptake. None of the fibroadenoma and fibrocystic changes accumulated TI-201. TI-201 scintigraphy, mammography and ultrasonography showed 90%, 92%, 85% overall sensitivity and 72%, 56%, 61% overall specificity respectively. Twenty-one of the 28 (75%) axillary nodal metastatic sites were also detected by TI-201. In malignant and benign lesions, early and late lesion/contralateral normal side (L/N) ratios were 1.58 ± 0.38 (mean ± SD) and 1.48 ± 0.32 (p >0.05), 1.87 ± 0.65 and 1.34 ± 0.20 (p<0.05) respectively. The mean early and late L/N ratios of malignant and benign groups did not show statistical difference (p>0.05). Conclusion: Overall, TI-201 scintigraphy was the most specific of the three methods and yielded favourable results in palpable breast cancers, while it showed lower sensitivity in nonpalpable cancers and axillary metastases. Combined use of TI-201 scintigraphy with mammography and US seems to be useful in difficult cases, such as dense breasts and indeterminate breast lesions.

scholarly journals Role of quantitative analysis of T2 relaxation time in differentiating benign from malignant breast lesions

2018 ◽  
Vol 46 (5) ◽  
pp. 1928-1935 ◽  
Author(s):  
Li Liu ◽  
Bo Yin ◽  
Kawai Shek ◽  
Daoying Geng ◽  
Yiping Lu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Relaxation Time ◽  
Quantitative Analysis ◽  
Breast Lesions ◽  
T2 Relaxation Time ◽  
T2 Relaxation ◽  
Malignant Breast ◽  
Mri Diagnosis ◽  
Malignant Lesions

Objective To investigate the role of quantitative analysis of T2 relaxation time in the magnetic resonance imaging (MRI) diagnosis of breast cancer. Methods The study enrolled patients with clinical breast masses who were examined using MRI at eight different echo times. The differences in T2 relaxation time of benign and malignant breast lesions were analysed. Results A total of 67 patients (67 breast lesions: 46 malignant, 21 benign) were examined. The mean ± SD T2 relaxation time was significantly lower in the 46 malignant lesions compared with the 21 benign lesions (82.69 ± 15.37 ms versus 95.48 ± 26.51 ms, respectively). The area under the curve was 0.731. Using 79.52 ms as the cut-off between benign and malignant breast lesions, a sensitivity of 85.7% and a specificity of 58.7% were obtained. Conclusions There was a significant difference in T2 relaxation time between benign and malignant breast lesions. The specificity of using T2 relaxation time alone for the differentiation of benign from malignant lesions was not high, but it could constitute a new adjunct in the MRI diagnosis of breast cancer.

The role of contrast-enhanced ultrasound in the diagnosis of malignant non-mass breast lesions and exploration of diagnostic criteria

2021 ◽  
Vol 94 (1120) ◽  
pp. 20200880
Author(s):  
Fan Zhang ◽  
Lifang Jin ◽  
Gang Li ◽  
Chao Jia ◽  
Qiusheng Shi ◽  
...  
Keyword(s):  
Diagnostic Criteria ◽  
Sensitivity And Specificity ◽  
Breast Imaging ◽  
Diagnostic Value ◽  
Binary Logistic Regression Analysis ◽  
Lower Sensitivity ◽  
Breast Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Contrast Enhanced ◽  
Histopathological Results

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.

Value of multimodality imaging in the diagnosis of breast lesions with calcification: A retrospective study

2020 ◽  
Vol 76 (1) ◽  
pp. 85-98 ◽  
Author(s):  
Wenjuan Tong ◽  
Xiaoling Zhang ◽  
Jia Luo ◽  
Fushun Pan ◽  
Jinyu Liang ◽  
...  
Keyword(s):  
Roc Curve ◽  
Operating Characteristic ◽  
Multimodality Imaging ◽  
Curve Analysis ◽  
Breast Lesions ◽  
Roc Curve Analysis ◽  
Diagnostic Efficacy ◽  
Contrast Enhanced ◽  
Conventional Ultrasound ◽  
Group A

PURPOSE: To assess the value of conventional ultrasound (US), contrast-enhanced ultrasound (CEUS) and mammography in the diagnosis of breast lesions with calcifications. METHODS: A total of 87 breast lesions with calcification were subjected to US, CEUS and mammography and divided into 3 groups: Group A (all cases), Group A1 (31 cases who underwent US and CEUS first followed by mammography), and Group A2 (56 cases who underwent mammography first followed by US and CEUS). A receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic efficacy of different methods in different groups. RESULTS: In Group A, the area under the ROC curve (AUROC) of CEUS were 0.937, which were significantly higher than that of mammography (p < 0.05). In Group A1, the AUROC of CEUS were 0.842, which were not significantly different from that of US and mammography (p > 0.05). In Group A2, the AUROC of CEUS were 0.987, which were significantly higher than that of mammography and US (p < 0.05). CONCLUSION: Based on the mammography results, the combination of US and CEUS might improve the diagnostic efficacy in breast lesions with calcification.

scholarly journals Radiomic Analysis of Contrast-Enhanced Mammography With Different Image Types: Classification of Breast Lesions

2021 ◽  
Vol 11 ◽  
Author(s):  
Simin Wang ◽  
Ning Mao ◽  
Shaofeng Duan ◽  
Qin Li ◽  
Ruimin Li ◽  
...  
Keyword(s):  
Operating Characteristic ◽  
Characteristic Curve ◽  
High Energy ◽  
Breast Lesions ◽  
Wilcoxon Rank Sum Test ◽  
Contrast Enhanced ◽  
Malignant Breast ◽  
The Mean ◽  
Selection Operator

Objective: A limited number of studies have focused on the radiomic analysis of contrast-enhanced mammography (CEM). We aimed to construct several radiomics-based models of CEM for classifying benign and malignant breast lesions.Materials and Methods: The retrospective, double-center study included women who underwent CEM between November 2013 and February 2020. Radiomic analysis was performed using high-energy (HE), low-energy (LE), and dual-energy subtraction (DES) images from CEM. Datasets were randomly divided into the training and testing sets at a ratio of 7:3. The maximum relevance minimum redundancy (mRMR) method and least absolute shrinkage and selection operator (LASSO) logistic regression were used to select the radiomic features and construct the best classification models. The performances of the models were assessed by the area under the receiver operating characteristic curve (AUC) with a 95% confidence interval (CI). Leave-group-out cross-validation (LGOCV) for 100 rounds was performed to obtain the mean AUCs, which were compared by the Wilcoxon rank-sum test and the Kruskal–Wallis rank-sum test.Results: A total of 192 women with 226 breast lesions (101 benign; 125 malignant) were enrolled. The median age was 48 years (range, 22–70 years). For the classification of breast lesions, the AUCs of the best models were 0.931 (95% CI: 0.873–0.989) for HE, 0.897 (95% CI: 0.807–0.981) for LE, 0.882 (95% CI: 0.825–0.987) for DES images and 0.960 (95% CI: 0.910–0.998) for all of the CEM images in the testing set. According to LGOCV, the models constructed with the HE images and all of the CEM images showed the highest mean AUCs for the training (0.931 and 0.938, respectively; P &lt; 0.05 for both) and testing sets (0.892 and 0.889, respectively; P = 0.55 for both), which were significantly higher than those of the two models constructed with the LE and DES images in the training (0.912 and 0.899, respectively; all P &lt; 0.05) and testing sets (0.866 and 0.862, respectively; all P &lt; 0.05).Conclusions: Radiomic analysis of CEM images was valuable for classifying benign and malignant breast lesions. The use of HE images or all three types of CEM images can achieve the best performance.

scholarly journals Usefulness of Elastography for the Evaluation of Subcentimeter Solid Breast Nodules

2021 ◽  
Vol 11 (4) ◽  
pp. 1409
Author(s):  
Florentina Guzmán-Aroca ◽  
Yésica Martínez-Paredes ◽  
Juan de Dios Berná-Serna ◽  
Ana Azahara García-Ortega ◽  
Juan de Dios Berná-Mestre ◽  
...  
Keyword(s):  
Shear Wave ◽  
Correct Diagnosis ◽  
Shear Wave Elastography ◽  
Accurate Diagnosis ◽  
Breast Lesions ◽  
Diagnostic Strategy ◽  
Benign Lesions ◽  
Ultrasound Study ◽  
Malignant Breast ◽  
Malignant Lesions

The accurate diagnosis of subcentimeter lesions is controversial, and therefore a standardized diagnosis algorithm is needed. The objective of the present work was to study the value of the elastography patterns obtained through the use of the shear wave elastography (SWE) technique with respect to histopathology for the evaluation of nodular breast lesions ≤1 cm. A retrospective study was conducted which included 65 sub-centimeter lesions from 57 patients with an average age of 45.6 ± 11.9. For all the cases, a B-mode ultrasound study, shear wave elastography, and a posterior anatomopathological study were conducted. The lesions had a diameter greater than 7.5 ± 1.7 mm (range: 4–9 mm). Through elastography, the distribution of the patterns was: cyst artifact (n = 13), pattern 1 (n = 4), pattern 2 (n = 31), pattern 3 (n = 13), and pattern 4 (n = 4). Of the 65 lesions, 15 were cysts, 46 were solid benign lesions, and 3 were malignant lesions. The sensitivity of the elastography was 75%, with a specificity of 98.46% and a correct diagnosis in 96.92% of the cases (n = 63). The results from this study show the usefulness of SWE for the evaluation of sub-centimeter breast lesions. In addition, this diagnostic strategy helps with the differential diagnosis between benign and malignant lesions and contributes to the early detection of malignant breast lesions.

scholarly journals Section Discrepancy and Diagnostic Performance of Breast Lesions in Two-dimensional Ultrasound by Dynamic Videos versus Static Images

2021 ◽  
Author(s):  
Dinghong Yang ◽  
Xiaoyun Xiao ◽  
Haohu Wang ◽  
Huan Wu ◽  
Wei Qin ◽  
...  
Keyword(s):  
Breast Imaging ◽  
Diagnostic Performance ◽  
Architectural Distortion ◽  
Breast Lesions ◽  
Two Dimensional ◽  
Benign Lesions ◽  
Static Image ◽  
Malignant Breast ◽  
Static Images ◽  
Malignant Lesions

Background: Benign or malignant breast lesions with typical ultrasonic characteristics could be easily and correctly diagnosed with two-dimensional ultrasound (2D US). However, diagnosis of atypical lesions remains a challenge. Most atypical lesions have different ultrasonographic features with probe direction variation. Thus, the interpretation of ultrasonographic features based on static images empirically collected by sonographers might be inaccurate. We aimed to investigate the section discrepancy and diagnostic performance of breast lesions in 2D US by dynamic videos versus static images.Methods: Static images and dynamic videos based on two perpendicular planes of 468 breast lesions were collected and evaluated. The Breast Imaging and Reporting Data System (BI-RADS&#x00AE;) US lexicon was used. Category 3 was used as the cut-off point, and section discrepancy was defined as two perpendicular planes showing different BI-RADS categories (3 versus 4A, 4B, 4C, and 5).Results: This retrospective study included 315 benign and 153 malignant lesions. There were 53 and 50 lesions with section discrepancy during static and dynamic observations, respectively. The proportion of benign lesions with section discrepancy was significantly higher than that of malignant lesions (P &#x003C; 0.05) either in dynamic or static observation, and the contingency coefficient was 0.2 between section discrepancy and histopathology. Duct changes were more clearly depicted in dynamic videos than in static images (P &#x003C; 0.05) both in malignant and benign lesions. Calcification and architectural distortion were more sensitively detected by dynamic videos than with static images (P &#x003C; 0.05) in malignant lesions. The interpretation of &#x201C;margin&#x201D; significantly differed in benign lesions between static images and dynamic videos (P &#x003C; 0.05). The areas under the curve of static image-horizontal, static image-sagittal, dynamic video-horizontal, and dynamic video-sagittal were 0.807, 0.820, 0.837, and 0.846, respectively. The specificities of dynamic videos were higher than those of static images (P &#x003C; 0.05).Conclusion: Breast lesions have section discrepancy in 2D US. Observations based on dynamic videos could more accurately reflect lesion features and increase the specificity of US in the differentiation of atypical breast lesions.

scholarly journals Ultrasound elastography evaluation of breast masses with FNAC and/or histopathological correlation

2018 ◽  
Vol 6 (12) ◽  
pp. 4034 ◽  
Author(s):  
Shyam Chhadi ◽  
Tulsi Chhadi ◽  
Kamlesh Bagde
Keyword(s):  
Sensitivity And Specificity ◽  
Pearson Correlation ◽  
Area Under The Curve ◽  
Ultrasound Elastography ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Breast Masses ◽  
Histopathological Correlation ◽  
Malignant Breast ◽  
Palpable Breast

Background: Breast cancer is the most frequently diagnosed cancer amongst women worldwide. Ultrasound elastography is a non-invasive method for determining tissue mechanical properties and seems to be compensating for the deficiencies of conventional USG. We aimed to evaluate the sensitivity and specificity of ultrasound elastography in detection and characterization of various breast masses and study its role in differentiating benign and malignant breast masses with FNAC and/or histopathological correlation.Methods: A total of 126 patients with breast lesions confirmed on USG were enrolled for the study, out of which 10 were lost to follow-up and excluded. Consecutive patients presenting with palpable breast lesions were assessed with conventional B-mode USG. Those confirmed to have breast lesion were then assessed with Strain Elastography (SE). FNAC was used for histopathological confirmation of malignant lesions. The benign lesions were diagnosed by a combination of FNAC and biopsy and were followed up for 6 months.Results: There were 56 (48.3%) malignant and 60 (51.7%) benign lesions. A sensitivity of 83.9% and a specificity of 91.7% was obtained for elasticity score when cut-off value of 3.5 was used (area under the curve- 0.924, 95% CI- 0.869 to 0.979, p-0.0001). Sensitivity of 91.1% and specificity of 88.3% was obtained for SR scores, when a cut off of 2.94 was used (area under the curve- 0.969, 95% CI- 0.943-0.995, p-0.0001). The Pearson correlation coefficient for elasticity scores and SR values was 0.936, indicating very good agreement (correlation) between the two methods.Conclusions: Ultrasound elastography is a simple and rapid method that can improve the sensitivity and specificity of USG and can decrease the rate of unnecessary biopsies.

scholarly journals Immunohistochemical Expression of p63 in Benign and Malignant Breast Lesions

2021 ◽  
Author(s):  
Abhishek Saini ◽  
Swaran Kaur Saluja ◽  
MK Garg ◽  
Deepti Agarwal ◽  
Amrita Kulhria ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Myoepithelial Cells ◽  
Normal Breast ◽  
High Morbidity ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Medical College ◽  
Malignant Breast ◽  
Malignant Lesions

Introduction: Breast carcinoma demands attention as it causes high morbidity and mortality. It is important to recognise benign lesions to distinguish them from in situ and invasive breast cancer and to assess a patient’s risk of developing breast cancer, so that the most appropriate treatment modality for each case can be established. The p63 has been characterised as a reliable marker of myoepithelial cells of lactiferous duct. It is exclusively expressed in myoepithelial cells of normal breast tissue. Hence, p63 can be of great help in the differential diagnosis involving benign lesions. Also, p63 may aid in distinguishing benign from malignant lesions. Aim: To study the Immunohistochemistry (IHC) expression of p63 in benign and malignant breast lesions. Materials and Methods: The prospective study was conducted on 76 breast specimens for a period of one year, from 1st December 2018 to 30th November 2019 in the Department of Pathology, Bhagat Phool Singh, Government Medical College for Women, Khanpur Kalan, Sonepat, Haryana, India. IHC assessment for p63 nuclear protein was performed. The intensity of p63 expression was evaluated as continuous positive, discontinuous positive and negative. The extent was scored on the basis of percentage of positive cells and assigned a score of negative (0%), 1 (<25%), 2 (26-90%) and 3 (91-100%). Results: Out of 76 cases, 38 cases were diagnosed as benign and 38 cases as malignant. IHC staining with p63 showed nuclear positivity in all benign lesions. Among malignant lesions, four were positive and 34 were negative. Conclusion: According to the above results, p63 is a very useful IHC marker in diagnosing difficult cases, cases of carcinoma in situ, borderline cases and cases with inconclusive histomorphological diagnosis.

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