scholarly journals The Relationship between Serum Estrogen Levels and Presence of Benign Lesions in Uterus Thyroid Gland and Breasts

2019 ◽  
pp. 1
Author(s):  
Zeynep Nilufer Tekin ◽  
Tuna Demirbas ◽  
Bercem Aycicek ◽  
Esin Derin Cicek
Keyword(s):  
Breast Imaging ◽  
Thyroid Nodules ◽  
Premenopausal Women ◽  
Thyroid Stimulating Hormone ◽  
Uterine Myoma ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Breast Image ◽  
Icd 10

<p><strong>Objective:</strong> We aimed to detect co-occurrence of uterine myomas, thyroid nodules and breast lesions and to investigate association between these benign tumors with estrogen levels.</p><p><strong>Study Design:</strong> In this retrospective cohort study, records of 8008 premenopausal women were analyzed who admitted to the Darıca Farabi State Hospital for routine breast image investigation and which were performed by the same radiologist between 2011 and 2016. 251 patients who had both thyroid and Pelvic Ultrasound (US) examinations in the same year were extracted from these 8008 patients. All data were obtained from file records and ICD-10 diagnosis code of electronic database of the hospital. For breast examination, breast imaging reporting and data system (BIRADS) terminology was used. </p><p><strong>Results:</strong> The mean age of the patients at the admission to the hospital was 32 ± 5.7 years. From 251 patients only 9 patients had benign lesions in all 3 organs, whereas 63 patients had both thyroid nodules and breast lesions and 5 patients had thyroid nodules and uterine myoma, and 7 patients had BIRADS 2,3 lesions and uterine myoma, respectively. We only found a relationship between age and existence of myoma uteri and thyroid nodule. (p=0.008, for both). Among hormones, only TSH (Thyroid stimulating hormone) was found to be lower in BIRADS 2,3 lesions than BIRADS 1 lesions (p=0.017). </p><p><strong>Conclusion:</strong> Our study did not show an association between estrogen levels and presence of benign lesions in different organs according to the radiologic investigation in premenopausal women.</p>

scholarly journals Prevalence of c-myc expression in breast lesions associated with microcalcifications detected by routine mammography

2009 ◽  
Vol 127 (2) ◽  
pp. 66-70 ◽  
Author(s):  
Renato Coimbra Mazzini ◽  
Simone Elias ◽  
Afonso Celso Pinto Nazário ◽  
Cláudio Kemp ◽  
Ângela Flávia Logullo
Keyword(s):  
Breast Imaging ◽  
Ductal Carcinoma ◽  
Percutaneous Biopsy ◽  
Screening Mammography ◽  
University Hospital ◽  
Premalignant Lesions ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Cross Sectional ◽  
Malignant Lesions

CONTEXT AND OBJECTIVE: Genetic abnormalities in cell proliferation-regulating genes have been described in premalignant lesions. The aims here were to evaluate c-myc protein expression in non-palpable breast lesions associated with microcalcifications, detected by screening mammography, and to compare these results with histopathological, clinical and epidemiological variables. DESIGN AND SETTING: Analytical cross-sectional study, with retrospective data collection, in a university hospital in São Paulo. METHODS: Seventy-nine female patients who underwent routine mammography between 1998 and 2004 were studied. Lesions classified by the Breast Imaging Reporting and Data System (BI-RADS) as 4 or 5 underwent percutaneous biopsy using a large-core needle. Ninety-eight lesions were studied anatomopathologically. Paraffin blocks properly representing the lesions were selected for immunohistochemical analyses using the streptavidin-biotin-peroxidase technique with monoclonal mouse c-myc antibodies. RESULTS: Among the 98 lesions, 29 (29.6%) contained malignant neoplasia; 40 (40.8%) had a positive immunohistochemical reaction for c-myc. When the groups were divided between lesions without atypias versus atypical lesions plus malignant lesions, 31.03% of the 58 lesions without atypias were positive for c-myc and 55% of the 40 malignant and atypical lesions (P = 0.018). Comparing the atypical lesions with ductal carcinoma in situ versus the benign lesions without atypias, c-myc was present in 51.61% of the 31 atypical lesions and 31.03% of the benign lesions without atypias (P = 0.057). CONCLUSION: C-myc protein was more frequently expressed in atypical and malignant lesions than in benign lesions without atypias. C-myc expression correlated with the presence of atypias (P = 0.018).

scholarly journals Prospective evaluation of contrast-enhanced ultrasound of breast BI-RADS 3-5 lesions

2020 ◽  
Author(s):  
Janu Eva ◽  
Krikavova Lucie ◽  
Little Jirina ◽  
Dvorak Karel ◽  
Brancikova Dagmar ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Malignant Tumors ◽  
Blood Perfusion ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Benign Lesions ◽  
Time To Peak ◽  
Contrast Enhanced

Abstract Purpose: To determine the benefit of contrast-enhanced ultrasound (CEUS) in the assessment of breast lesions. Materials and Methods: A standardized contrast-enhanced ultrasound was performed in 230 breast lesions classified as BI-RADS category 3 to 5. All lesions were subjected to qualitative and quantitative analysis. MVI (MicroVascular Imaging) technique was used to derive qualitative analysis parameters; blood perfusion of the lesions was assessed (perfusion homogeneity, type of vascularization, enhancement degree). Quantitative analysis was conducted to estimate perfusion changes in the lesions within drawn regions of interest (ROI); parameters TTP (time to peak), PI (peak intensity), WIS (wash in slope), AUC (area under curve) were obtained from time intensity (TI) curves. Acquired data were statistically analyzed to assess the ability of each parameter to differentiate between malignant and benign lesions. The combination of parameters was also evaluated for the possibility of increasing the overall diagnostic accuracy. Biological nature of the lesions was verified by a pathologist. Benign lesions without histopathological verification (BI-RADS 3) were followed up for at least 24 months. Results: Out of 230 lesions, 146 (64%) were benign, 67 (29%) were malignant, 17 (7%) lesions were eliminated. Malignant tumors showed statistically significantly lower TTP parameters (sensitivity 77.6%, specificity 52.7%) and higher WIS values (sensitivity 74.6%, specificity 66.4%) than benign tumors. Enhancement degree also proved to be statistically well discriminating as 55.2% of malignant lesions had a rich vascularity (sensitivity 89.6% and specificity 48.6%). The combination of quantitative analysis parameters (TTP, WIS) with enhancement degree did not result in higher accuracy in distinguishing between malignant and benign breast lesions. Conclusion: We have demonstrated that contrast-enhanced breast ultrasound has the potential to distinguish between malignant and benign lesions. In particular, this method could help to differentiate lesions BI-RADS category 3 and 4 and thus reduce the number of core-cut biopsies performed in benign lesions. Qualitative analysis, despite its subjective element, appeared to be more beneficial. A combination of quantitative and qualitative analysis did not increase the predictive capability of CEUS.

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 Prospective evaluation of contrast-enhanced ultrasound of breast BI-RADS 3-5 lesions

2020 ◽  
Author(s):  
Janu Eva ◽  
Krikavova Lucie ◽  
Little Jirina ◽  
Dvorak Karel ◽  
Brancikova Dagmar ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Malignant Tumors ◽  
Blood Perfusion ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Benign Lesions ◽  
Time To Peak ◽  
Contrast Enhanced

Abstract Purpose: To determine the benefit of contrast-enhanced ultrasound (CEUS) in the assessment of breast lesions.Materials and Methods: A standardized contrast-enhanced ultrasound was performed in 230 breast lesions classified as BI-RADS category 3 to 5. All lesions were subjected to qualitative and quantitative analysis. MVI (MicroVascular Imaging) technique was used to derive qualitative analysis parameters; blood perfusion of the lesions was assessed (perfusion homogeneity, type of vascularization, enhancement degree). Quantitative analysis was conducted to estimate perfusion changes in the lesions within drawn regions of interest (ROI); parameters TTP (time to peak), PI (peak intensity), WIS (wash in slope), AUC (area under curve) were obtained from time intensity (TI) curves. Acquired data were statistically analyzed to assess the ability of each parameter to differentiate between malignant and benign lesions. The combination of parameters was also evaluated for the possibility of increasing the overall diagnostic accuracy. Biological nature of the lesions was verified by a pathologist. Benign lesions without histopathological verification (BI-RADS 3) were followed up for at least 24 months.Results: Out of 230 lesions, 146 (64%) were benign, 67 (29%) were malignant, 17 (7%) lesions were eliminated. Malignant tumors showed statistically significantly lower TTP parameters (sensitivity 77.6%, specificity 52.7%) and higher WIS values (sensitivity 74.6%, specificity 66.4%) than benign tumors. Enhancement degree also proved to be statistically well discriminating as 55.2% of malignant lesions had a rich vascularity (sensitivity 89.6% and specificity 48.6%). The combination of quantitative analysis parameters (TTP, WIS) with enhancement degree did not result in higher accuracy in distinguishing between malignant and benign breast lesions.Conclusion: We have demonstrated that contrast-enhanced breast ultrasound has the potential to distinguish between malignant and benign lesions. In particular, this method could help to differentiate lesions BI-RADS category 3 and 4 and thus reduce the number of core-cut biopsies performed in benign lesions. Qualitative analysis, despite its subjective element, appeared to be more beneficial. A combination of quantitative and qualitative analysis did not increase the predictive capability of CEUS.

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.

Can shear wave elastography be utilized as an additional tool for the assessment of non-mass breast lesions?

Ultrasound ◽  
2021 ◽  
pp. 1742271X2199872
Author(s):  
Sepideh Sefidbakht ◽  
Sara Haseli ◽  
Neda Khalili ◽  
Vahid Bazojoo ◽  
Pedram Keshavarz ◽  
...  
Keyword(s):  
High Risk ◽  
Diagnostic Accuracy ◽  
Shear Wave ◽  
Breast Imaging ◽  
Shear Wave Elastography ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Conventional Ultrasound ◽  
Malignant Lesions ◽  
Mass Lesions

Introduction We aimed to describe shear wave elastography parameters of non-mass lesions of the breast and to assess the measures of diagnostic accuracy of shear wave elastography in the differentiation of non-mass lesions compared with conventional ultrasound, using histopathologic results as the reference standard. Methods This retrospective study included breast ultrasound-detected non-mass lesions with a confirmed pathologic diagnosis during a two-year study period. B-mode ultrasound and shear wave elastography were performed for all lesions before biopsy. Ultrasound features, shear wave elastography parameters (mean elasticity and maximum stiffness color), as well as Breast Imaging-Reporting and Data System categories were recorded for each lesion. Measures of diagnostic accuracy of ultrasound and ultrasound + shear wave elastography were also assessed. Results From a total of 567 breast lesions requiring core-needle biopsy, 49 (8.6%) were considered as non-mass lesions. Based on histopathologic reports, 32 patients (65.3%) had non-high-risk benign lesions, five (10.2%) had high-risk benign lesions, five (10.2%) had ductal carcinoma in situ, and seven (14.3%) had invasive carcinoma. There was no significant difference in patients’ age and palpability between benign and malignant lesions ( p = 0.16 and p = 0.12, respectively). Mean elasticity values and Breast Imaging-Reporting and Data System categories were significantly higher among malignant lesions compared with benign non-mass lesions (both p < 0.001). Furthermore, the addition of shear wave elastography to grayscale ultrasound increased the specificity, positive predictive value, and diagnostic accuracy. Conclusion The complementary use of shear wave elastography with conventional ultrasound might help in the differentiation of non-mass breast lesions and has the potential to decrease the frequency of unnecessary biopsies performed for benign non-mass lesions.

scholarly journals Accuracy of mammography and sonomammography and its correlation with histopathology in the detection of breast cancer

2021 ◽  
Vol 8 (2) ◽  
pp. 624
Author(s):  
Soundarya Yamakanamardi ◽  
Bharati V. Hiremath
Keyword(s):  
Breast Cancer ◽  
Malignant Tumors ◽  
Young Patients ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Benign Lesions ◽  
Breast Lump ◽  
Palpable Breast ◽  
Detect Breast Cancer

Background: Mammography (MMG) plays a pivotal role in the early diagnosis of breast cancer (BC). However, it is sometimes difficult to use it to diagnose palpable breast lesions among young patients. Ultrasound can be used as an adjunct in differentiating cystic and solid masses. Studies evaluating the combination of MMG and sonomammography (SMG) as an adjunct to detect Breast cancer, are quite scarce in the literature. This study aimed to assess the accuracy of MMG and to comprehend the role of ultrasound as an adjunct to MMG for finding breast lesions.Methods: Women attending the outpatient department (OPD) with complaints of breast lump, or those undergoing MMG screening were included. All patients then subsequently underwent MMG, SMG and biopsy. MMG and SMG findings were then correlated with the histopathology results.Results: Irregular shape and calcifications (MMG) and hypoechoic pattern (SMG) were found to be significant features differentiating malignant from benign lesions. Calcifications in benign tumors were observed 5.05 times less frequently than in malignant tumors. MMG combined with SMG had a sensitivity of 90.4%, specificity of 82.4%, positive and negative predictive value of 95% and 67% respectively, along with an accuracy of 88.9% in differentiating benign from malignant masses.Conclusions: SMG used as an adjunct to MMG is a reliable modality, especially in detecting lesions that are not picked up on MMG, including intraductal papilloma and duct ectasia.

scholarly journals Prospective evaluation of contrast-enhanced ultrasound of breast BI-RADS 3-5 lesions

2020 ◽  
Author(s):  
Janu Eva ◽  
Krikavova Lucie ◽  
Little Jirina ◽  
Dvorak Karel ◽  
Brancikova Dagmar ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
Qualitative Analysis ◽  
Malignant Tumors ◽  
Blood Perfusion ◽  
Benign Tumors ◽  
Breast Lesions ◽  
Contrast Enhanced Ultrasound ◽  
Benign Lesions ◽  
Time To Peak ◽  
Contrast Enhanced

Abstract Background To determine the benefit of contrast-enhanced ultrasound (CEUS) in the assessment of breast lesions. Methods A standardized contrast-enhanced ultrasound was performed in 230 breast lesions classified as BI-RADS category 3 to 5. All lesions were subjected to qualitative and quantitative analysis. MVI (MicroVascular Imaging) technique was used to derive qualitative analysis parameters; blood perfusion of the lesions was assessed (perfusion homogeneity, type of vascularization, enhancement degree). Quantitative analysis was conducted to estimate perfusion changes in the lesions within drawn regions of interest (ROI); parameters TTP (time to peak), PI (peak intensity), WIS (wash in slope), AUC (area under curve) were obtained from time intensity (TI) curves. Acquired data were statistically analyzed to assess the ability of each parameter to differentiate between malignant and benign lesions. The combination of parameters was also evaluated for the possibility of increasing the overall diagnostic accuracy. Biological nature of the lesions was verified by a pathologist. Benign lesions without histopathological verification (BI-RADS 3) were followed up for at least 24 months. Results Out of 230 lesions, 146 (64%) were benign, 67 (29%) were malignant, 17 (7%) lesions were eliminated. Malignant tumors showed statistically significantly lower TTP parameters (sensitivity 77.6%, specificity 52.7%) and higher WIS values (sensitivity 74.6%, specificity 66.4%) than benign tumors. Enhancement degree also proved to be statistically well discriminating as 55.2% of malignant lesions had a rich vascularity (sensitivity 89.6% and specificity 48.6%). The combination of quantitative analysis parameters (TTP, WIS) with enhancement degree did not result in higher accuracy in distinguishing between malignant and benign breast lesions. Conclusions We have demonstrated that contrast-enhanced breast ultrasound has the potential to distinguish between malignant and benign lesions. In particular, this method could help to differentiate lesions BI-RADS category 3 and 4 and thus reduce the number of core-cut biopsies performed in benign lesions. Qualitative analysis, despite its subjective element, appeared to be more beneficial. A combination of quantitative and qualitative analysis did not increase the predictive capability of CEUS.

scholarly journals Evaluation of image quality at the detector’s edge of dedicated breast positron emission tomography

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yoko Satoh ◽  
Utaroh Motosugi ◽  
Masamichi Imai ◽  
Yoshie Omiya ◽  
Hiroshi Onishi
Keyword(s):  
Image Quality ◽  
Chest Wall ◽  
Clinical Studies ◽  
Breast Imaging ◽  
Phantom Study ◽  
Breast Lesions ◽  
Clinical Images ◽  
Dedicated Breast Pet ◽  
Pet Ct ◽  
Significant Difference

Abstract Background Using phantoms and clinical studies in prone hanging breast imaging, we assessed the image quality of a commercially available dedicated breast PET (dbPET) at the detector’s edge, where mammary glands near the chest wall are located. These are compared to supine PET/CT breast images of the same clinical subjects. Methods A breast phantom with four spheres (16-, 10-, 7.5-, and 5-mm diameter) was filled with 18F-fluorodeoxyglucose solution (sphere-to-background activity concentration ratio, 8:1). The spheres occupied five different positions from the top edge to the centre of the detector and were scanned for 5 min in each position. Reconstructed images were visually evaluated, and the contrast-to-noise ratio (CNR), contrast recovery coefficient (CRC) for all spheres, and coefficient of variation of the background (CVB) were calculated. Subsequently, clinical images obtained with standard supine PET/CT and prone dbPET were retrospectively analysed. Tumour-to-background ratios (TBRs) between breast cancer near the chest wall (close to the detector’s edge; peripheral group) and at other locations (non-peripheral group) were compared. The TBR of each lesion was compared between dbPET and PET/CT. Results Closer to the detector’s edge, the CNR and CRC of all spheres decreased while the CVB increased in the phantom study. The disadvantages of this placement were visually confirmed. Regarding clinical images, TBR of dbPET was significantly higher than that of PET/CT in both the peripheral (12.38 ± 6.41 vs 6.73 ± 3.5, p = 0.0006) and non-peripheral (12.44 ± 5.94 vs 7.71 ± 7.1, p = 0.0183) groups. There was no significant difference in TBR of dbPET between the peripheral and non-peripheral groups. Conclusion The phantom study revealed poorer image quality at < 2-cm distance from the detector’s edge than at other more central parts. In clinical studies, however, the visibility of breast lesions with dbPET was the same regardless of the lesion position, and it was higher than that in PET/CT. dbPET has a great potential for detecting breast lesions near the chest wall if they are at least 2 cm from the edge of the FOV, even in young women with small breasts.

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