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.

scholarly journals Immunocytochemical identification of cell types in benign and malignant breast diseases: variations in cell markers accompany the malignant state.

1993 ◽  
Vol 41 (4) ◽  
pp. 543-553 ◽  
Author(s):  
P S Rudland ◽  
S J Leinster ◽  
J Winstanley ◽  
B Green ◽  
M Atkinson ◽  
...  
Keyword(s):  
Carcinoma In Situ ◽  
Cell Types ◽  
Myoepithelial Cells ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Malignant Breast ◽  
Benign Breast Lesions ◽  
Invasive Carcinomas ◽  
Peripheral Cells

We performed immunocytochemical staining of benign, in situ, and malignant breast disease to identify antigens related to the presence of the major parenchymal cell types of the normal breast. Markers for the epithelial cells, antiserum to epithelial membrane antigen, and three monoclonal antibodies (MAb) to milk-fat globule membranes stained most of the inner cells in benign breast lesions, carcinoma in situ, and invasive carcinomas, but the peripheral cells in benign lesions, as well as in carcinoma in situ, were unstained. MAb to epithelium-specific keratin 18 stained the majority of inner cells in benign breast lesions but comparatively fewer such cells in carcinoma in situ and invasive carcinoma. Markers for the myoepithelial cells, antisera, and MAb to smooth muscle actin and vimentin stained most of the peripheral cells in benign breast lesions and in carcinoma in situ but failed to stain virtually any neoplastic cells in invasive carcinomas. Markers for the basement membrane adjacent to the myoepithelial cells, antiserum, and MAb to laminin and Type IV collagen delineated an intact basement membrane around benign lesions and carcinoma in situ, and fragmented structures in 5-10% of invasive carcinomas; the remaining carcinomas were largely unstained. Markers for both myoepithelial and epithelial cells, keratin MAb PKK2 and LP34, stained most of the inner cells in benign lesions but usually only relatively few malignant cells in carcinoma in situ and invasive carcinomas. Markers for the secretory alveolar cell, MAb to beta- and kappa-casein, stained a few isolated cells in benign lesions, many more inner cells in two such lesions in pregnant females, and none in invasive carcinomas. In conclusion, the myoepithelial cell and, under suitable hormonal conditions, the secretory alveolar cell, are retained in most benign lesions, but they are largely lost in invasive carcinomas.

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.

APPLICATION OF ELASTOGRAPHY FOR DIAGNOSIS BREAST TUMORS

2018 ◽  
Vol 8 (6) ◽  
pp. 8-14
Author(s):  
Huong Tran Thi Song ◽  
Yen Vo Thi Kim ◽  
Quan Nguyen Phuoc Bao
Keyword(s):  
Breast Cancer ◽  
Malignant Tumors ◽  
Normal Breast ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Soft Or ◽  
The Past ◽  
2D Ultrasound ◽  
Malignant Lesions ◽  
A New Technique

Breast tumor is common in women. Benign tumors account for 80%, malignant tumors account for 20%. Breast cancer is the most common and deadly cancer among women, including Vietnam. Elastography, evaluates the stiffness of the tissue, helps to distinguish soft or hard tumors, which can help distinguish benign or malignant. Benign lesions tend to be softer than malignant lesions. There are two types of elastography: SE (Strain Elastography) and Shear Ware Elastography (SWE). In examining breast lesions, the maligne tumor tends to be stronger and the higher the velocity. Studies have shown that the SWE features should be combined with 2D ultrasound to complement the BIRADS classification. Elastography is a new technique that has emerged in the past few years, promising good diagnostic prospects, more and more research and application of elastography in diagnostics breast lesions. Breast elastogarphy, survey of hardness of breast cancer showed 4 times higher than that of benign tumor and 7 folds of normal breast tissue.

scholarly journals TGF-β1 stimulates epithelial–mesenchymal transition and cancer-associated myoepithelial cell during the progression from in situ to invasive breast cancer

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Li Wang ◽  
Cong Xu ◽  
Xia Liu ◽  
Yang Yang ◽  
Lu Cao ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Invasive Breast Cancer ◽  
Ductal Carcinoma ◽  
Myoepithelial Cells ◽  
Normal Breast ◽  
Emt Markers ◽  
Tgf Β1

Abstract Background The progression of ductal carcinoma in situ (DCIS) into invasive ductal carcinoma (IDC) is prevented by normal breast myoepithelial cells. Studies have suggested that EMT-associated genes were enriched in IDC in contrast to DCIS. This paper explored the relationship and potential mechanism between myoepithelial cells and EMT-associated genes in facilitating the transformation from DCIS to breast cancer. Methods EMT markers and myoepithelial phenotypic markers in IDC, DCIS, and healthy breast tissue were characterized using immunohistochemical assay. Both in vivo and in vitro models were created to mimic the various cell–cell interactions in the development of invasive breast cancer. Results We found that EMT markers were more abundant in invasive carcinomas than DCIS and adjacent normal breast tissue. Meanwhile, TGF-β1 regulated the morphology of MCF-7 (epithelial cells substitute) migration and EMT markers during the transformation from DCIS to invasive breast cancer. Additionally, TGF-β1 also regulated invasion, migration and cytokines secretion of MDA-MB-231 (myoepithelial cells substitute) and epithelial cells when co-cultured with MCF-7 both in vitro and in vivo. Conclusions In conclusion, these findings demonstrated that both EMT phenotypes and cancer-associated myoepithelial cells may have an impact on the development of invasive breast cancer.

scholarly journals Quantification of dynamic contrast-enhanced ultrasound (CEUS) in non-cystic breast lesions using external perfusion software

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ernst Michael Jung ◽  
Friedrich Jung ◽  
Christian Stroszczynski ◽  
Isabel Wiesinger
Keyword(s):  
Breast Cancer ◽  
Mean Transit Time ◽  
Scar Tissue ◽  
Surrounding Tissue ◽  
Breast Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Benign Lesions ◽  
Asymptomatic Patients ◽  
Contrast Enhanced ◽  
Malignant Lesions

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.

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 The wavelia microwave breast imaging system–Tumour discriminating features and their clinical usefulness

2021 ◽  
pp. 20210907
Author(s):  
Brian M Moloney ◽  
Peter F McAnena ◽  
Sami M Elwahab ◽  
Angie Fasoula ◽  
Luc Duchesne ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Breast Lesions ◽  
Conventional Imaging ◽  
Benign Lesions ◽  
Malignancy Risk ◽  
Malignant Breast ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

Objective: The Wavelia Microwave Breast Imaging (MBI) system, based on non-ionising imaging technology, has demonstrated exciting potential in the detection and localisation of breast pathology in symptomatic patients. In this study, the ability of the system to accurately estimate the size and likelihood of malignancy of breast lesions is detailed, and its clinical usefulness determined. Methods: Institutional review board and Health Products Regulatory Authority (HPRA) approval were obtained. Patients were recruited from the symptomatic unit to three groups; Breast cancer (Group-1), unaspirated cysts (Group-2) and biopsied benign lesions (Group-3). MBI, radiological and histopathological findings were reviewed. MBI size estimations were compared with the sizes determined by conventional imaging and histopathology. A Quadratic Discriminant Analysis (QDA) classifier was trained in a 3D feature space to discriminate malignant from benign lesions. An independent review was performed by two independent breast radiologists. Results: 24 patients (11 Group-1, 8 Group-2 and 5 Group-3) underwent MBI. The Wavelia system was more accurate than conventional imaging in size estimation of breast cancers. The QDA accurately separated benign from malignant breast lesions in 88.5% of cases. The addition of MBI and the Wavelia malignancy risk calculation was deemed useful by the two radiologists in 70.6% of cases. Conclusion: The results from this MBI investigation demonstrate the potential of this novel system in estimating size and malignancy risk of breast lesions. This system holds significant promise as a potential non-invasive, comfortable, and harmless adjunct for breast cancer diagnosis. Further larger studies are under preparation to validate the findings of this study. Advances in knowledge: This study details the potential of the Wavelia MBI system in delineating size and malignancy risk of benign and malignant breast lesions in a symptomatic cohort. The usefulness of the Wavelia system is assessed in the clinical setting.

scholarly journals RETROSPECTIVE ANALYSIS OF MAMMOGRAM, SONOMAMMOGRAM AND ITS HISTOPATHOLOGICAL CORRELATION AS AN AID FOR DIAGNOSIS OF BREAST LESIONS

2021 ◽  
pp. 1-4
Author(s):  
Sathish babu ◽  
Arifkhan Sainudeen ◽  
Abdul Eksana
Keyword(s):  
Breast Cancer ◽  
Breast Imaging ◽  
Ductal Carcinoma ◽  
Histopathological Examination ◽  
Benign Lesion ◽  
Malignant Lesion ◽  
Breast Lesions ◽  
Care Hospital ◽  
Malignant Breast ◽  
Malignant Lesions

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.

Thymidylate Synthase, a New Myoepithelial Biomarker for Breast Lesions

2019 ◽  
Vol 27 (8) ◽  
pp. 852-858
Author(s):  
Rui Guo ◽  
Yi Tian ◽  
Xueyuan Jin ◽  
Xiaozhong Huang ◽  
Jun Yang
Keyword(s):  
Differential Diagnosis ◽  
Thymidylate Synthase ◽  
Stromal Cells ◽  
Carcinoma In Situ ◽  
Ductal Carcinoma ◽  
Myoepithelial Cells ◽  
Normal Breast ◽  
Breast Lesions ◽  
Breast Tissues

Background. The identification of myoepithelial cells (MECs) can facilitate the differential diagnosis of breast lesions. We previously found thymidylate synthase (TS) expression in the nuclei of MECs in breast tissues, which prompted us to investigate the usefulness of TS as a sensitive and specific biomarker in the differential diagnosis of breast lesions, similar to other MEC biomarkers (ie, tumor protein [P63] and cluster of differentiation 10 [CD10]). Methods. Immunohistochemistry for TS, P63, and CD10 was performed on paraffin sections from 189 breast specimens. Results. The results showed the intensity of the immunoreactive TS signal to be comparable with that of P63 in the nuclei of MECs. Furthermore, the nuclei of MECs stained strongly for TS and P63 in normal breast tissues (obtained adjacent to invasive breast lesions), benign breast lesions, and carcinoma in situ, whereas the cytoplasm of MECs stained strongly for CD10. The immunoreactive TS signal in the cytoplasm of MECs was variable in 22 out of 32 (65.6%) cases of invasive breast carcinoma and 4 out of 20 cases (20.0%) of ductal carcinoma in situ. We found no immunoreactive TS signal in the nuclei of luminal and stromal cells in breast lesions, although there was a weak positive signal in the cytoplasm of luminal and stromal cells. Conclusions. TS is a sensitive and specific MEC biomarker in the differential diagnosis of breast lesions.

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