The role of fine-wire localization breast biopsy in the management of BI-RADS category 3-5 non-palpable breast lesions in northeastern Chinese women

A blinded retrospective validation study was performed in a university-based hospital in northeastern China to determine whether the breast imaging reporting and data system (BI- RADS) defines a group of patients with non- palpable breast lesions (NPBLs) in whom fine- wire localization biopsy (FWLB) is appropriate. We reviewed 182 consecutive patients with NPBLs who underwent FWLB. The patients’ preoperative mammograms were categorized according BI-RADS by 2 radiologists blinded to the pathological findings. The positive predictive values of BI-RADS categories 3-5 were 3.4%, 42.1%, and 76.9%, respectively. For category 4 NPBLs, the percentage of cancer for those aged < 40 years was significantly lower than those aged ≥ 40 years. For category 3 NPBLs, the percentage of precancerous lesions for those aged < 40 years was significantly lower than those aged ≥ 40 years. Chinese NPBL patients aged ≥ 40 years with category 4 mammographic findings, and all patients with category 5 findings should undergo FWLB. FWLB should be offered as a treatment option for Chinese NPBL patients aged < 40 years with category 4 findings or aged ≥ 40 years with category 3 findings.

Detection and classification of breast lesions using multiple information on contrast-enhanced mammography by a multiprocess deep-learning system: A multicenter study

Objective: Accurate detection and classification of breast lesions in early stage is crucial to timely formulate effective treatments for patients. We aim to develop a fully automatic system to detect and classify breast lesions using multiple contrast-enhanced mammography(CEM) images.Methods: In this study, a total of 1,903 females who underwent CEM examination from three hospitals were enrolled as the training set, internal testing set, pooled external testing set and prospective testing set. Here we developed a CEM-based multiprocess detection and classification system(MDCS) to perform the task of detection and classification of breast lesions. In this system, we introduced an innovative auxiliary feature fusion(AFF)algorithm that could intelligently incorporates multiple types of information from CEM images. The average freeresponse receiver operating characteristic score(AFROC-Score) was presented to validate system’s detection performance, and the performance of classification was evaluated by area under the receiver operating characteristic curve(AUC). Furthermore, we assessed the diagnostic value of MDCS through visual analysis of disputed cases,comparing its performance and efficiency with that of radiologists and exploring whether it could augment radiologists’ performance.Results: On the pooled external and prospective testing sets, MDCS always maintained a high standalone performance, with AFROC-Scores of 0.953 and 0.963 for detection task, and AUCs for classification were 0.909[95% confidence interval(95% CI): 0.822-0.996] and 0.912(95% CI: 0.840-0.985), respectively. It also achieved higher sensitivity than all senior radiologists and higher specificity than all junior radiologists on pooled external and prospective testing sets. Moreover, MDCS performed superior diagnostic efficiency with an average reading time of 5 seconds, compared to the radiologists’ average reading time of 3.2 min. The average performance of all radiologists was also improved to varying degrees with MDCS assistance.Conclusions: MDCS demonstrated excellent performance in the detection and classification of breast lesions,and greatly enhanced the overall performance of radiologists.

Percutaneous Removal of Benign Breast Lesions with an Ultrasound-guided Vacuum-assisted System:Influence Factors in the Hematoma Formation

Objective To explore the influence factors in hematoma formation after removing benign breast lesions with an ultrasound-guided vacuum-assisted system.Methods A total of 232 females with 312 benign breast masses received excisional biopsy with ultrasoundguided vacuum-assisted system.The pathology of patients,results of hematoma development and outcome,influence factors for hematoma occurrence(nodule size,nodule location,number of nodule,breast shape,menstrual period,efficacy time of bandage,and application of hemostatic agents during the procedure) were recorded.Results Pathologic examination revealed fibroadenomas in 138 lesions,fibroadenosis in 127 lesions,intraductal papillomas in 39 lesions,inflammatory change in 4 lesions,retention cyst of the breast in 3 lesions,and benign phyllodes tumor in 1 lesion.Thirty hematomas were observed in patients(9.6%).Finally,97.0%hematomas were absorbed completely within 6 months follow-up.The incidence rates of hematoma were increased by 24.7%,10.0%,63.2%,13.9%in the nodule diameter larger or equal to 25 mm group,removal of larger or equal to two nodules once time from one patient group,menstrual period group,and larger and loose breast group,respectively(all P<0.05).However,the incidences were decreased by 60.6%in the bandage performed for 12-24 hours or beyond 24 hours group(P<0.05).The multiple logistic regression models revealed that nodule size(x^2=15.227,P<0.001),number of nodule(x^2=7.767,P=0.005),menstrual period(x^2=24.530,P<0.001),and breast shape(x^2=9.559,P=0.002) were independent risk factors associated with hematoma occurrence,but efficacy time of bandage was a protective factor associated with hematoma occurrence.Conclusion The occurrence of hematoma after the minimally invasive operation was associated with nodule size,number of nodule,menstrual period,breast shape,and efficacy time of bandage.

Breast non-mass-like lesions on contrast-enhanced ultrasonography: Feature analysis, breast image reporting and data system classification assessment

BACKGROUND Breast non-mass-like lesions(NMLs)account for 9.2%of all breast lesions.The specificity of the ultrasound diagnosis of NMLs is low,and it cannot be objectively classified according to the 5th Edition of the Breast Imaging Reporting and Data System(BI-RADS).Contrast-enhanced ultrasound(CEUS)can help to differentiate and classify breast lesions but there are few studies on NMLs alone.AIM To analyze the features of benign and malignant breast NMLs in grayscale ultrasonography(US),color Doppler flow imaging(CDFI)and CEUS,and to explore the efficacy of the combined diagnosis of NMLs and the effect of CEUS on the BI-RADS classification of NMLs.METHODS A total of 51 breast NMLs verified by pathology were analyzed in our hospital from January 2017 to April 2019.All lesions were examined by US,CDFI and CEUS,and their features from those examinations were analyzed.With pathology as the gold standard,binary logic regression was used to analyze the independent risk factors for malignant breast NMLs,and a regression equation was established to calculate the efficiency of combined diagnosis.Based on the regression equation,the combined diagnostic efficiency of US combined with CEUS(US+CEUS)was determined.The initial BI-RADS-US classification of NMLs was adjusted according to the independent risk factors identified by CEUS,and the diagnostic efficiency of CEUS combined with BI-RADS(CEUS+BI-RADS)was calculated based on the results.ROC curves were drawn to compare the diagnostic values of the three methods,including US,US+CEUS,and CEUS+BI-RADS,for benign and malignant NMLs.RESULTS Microcalcification,enhancement time,enhancement intensity,lesion scope,and peripheral blood vessels were significantly different between benign and malignant NMLs.Among these features,microcalcification,higher enhancement,and lesion scope were identified as independent risk factors for malignant breast NMLs.When US,US+CEUS,and CEUS+BI-RADS were used to identify the benign and malignant breast NMLs,their sensitivity rates were 82.6%,91.3%,and 87.0%,respectively;their specificity rates were 71.4%,89.2%,and 92.9%,respectively;their positive predictive values were 70.4%,87.5%,and 90.9%,respectively;their negative predictive values were 83.3%,92.6%,and 89.7%,respectively;their accuracy rates were 76.5%,90.2%,and 90.2%,respectively;and their corresponding areas under ROC curves were 0.752,0.877 and 0.903,respectively.Z tests showed that the area under the ROC curve of US was statistically smaller than that of US+CEUS and CEUS+BI-RADS,and there was no statistical difference between US+CEUS and CEUS+BI-RADS.CONCLUSION US combined with CEUS can improve diagnostic efficiency for NMLs.The adjustment of the BI-RADS classification according to the features of contrastenhanced US of NMLs enables the diagnostic results to be simple and intuitive,facilitates the management of NMLs,and effectively reduces the incidence of unnecessary biopsy.

Evaluation of internal and shell stiffness in the differential diagnosis of breast non-mass lesions by shear wave elastography

BACKGROUND The diagnostic specificity of conventional ultrasound for breast non-mass lesions(NMLs)is low at approximately 21%-43%.Shear wave elastography(SWE)can distinguish benign from malignant lesions by evaluating the internal and peripheral stiffness.SWE has good reproducibility and high diagnostic efficacy.However,there are very few independent studies on the diagnostic value of SWE in breast NMLs.AIM To determine the value of SWE in the differential diagnosis of breast NMLs.METHODS This study enrolled a total of 118 patients with breast NMLs who underwent SWE examinations in the Beijing Shijitan Hospital Affiliated to Capital Medical University and The Second Hospital of Shandong University from January 2019 to January 2020.The internal elastic parameters of the lesions were recorded,including maximum(Emax),mean(Emean)and minimum elastic values and the standard deviation.The following peripheral parameters were noted:Presence of a“stiff rim”sign;Emax,and Emean elasticity values within 1 mm,1.5 mm,2 mm,2.5 mm and 3 mm from the edge of NMLs.The receiver operating characteristic curve of each parameter was drawn,and the areas under the curve were calculated.RESULTS Emax,Emean and elastic values,and the standard deviation of the internal elastic values in malignant NMLs were significantly higher than those in benign NMLs(P<0.05).The percentage with the“stiff rim”sign in malignant NMLs was significantly higher than that in the benign group(P<0.05),and Emax and Emean at the shell of 1 mm,1.5 mm,2 mm,2.5 mm and 3 mm in the malignant group were all higher than those in the benign group(P<0.05).Of the surrounding elasticity values,Emax of the shell at 2.5 mm in malignant NMLs had maximum areas under the curve of 0.900,and the corresponding sensitivity and specificity were 94.57%and 85.86%,respectively.CONCLUSION The“stiff rim”sign and multiple quantitative elastic values within and around the lesion had good diagnostic performance in the differential diagnosis of breast NMLs.Emax in peripheral tissue had better diagnostic efficiency than other parameters.

Oncogenic Role of Skp2 and p27^(Kip1) in Intraductal Proliferative Lesions of the Breast

Objective To investigate whether the connection of p27 Kip1 to S-phase kinase-associated protein 2 (Skp2) plays an oncogenic role in intraductal proliferative lesions of the breast. Methods Here we investigated the mechanism involved in association of Skp2's degradation of p27 Kip1 with the breast carcinogenesis by immunohistochemical method through detection of Skp2 and p27 Kip1 protein levels in 120 paraffin-embedded tissues of intraductal proliferative lesions including usual ductal hyperplasia (UDH, n=30), atypical ductal hyperplasia (n=30), flat epithelial atypia (FEA, n=30), and ductal carcinoma in situ (DCIS, n=30). Moreover, the expression status of Skp2 and p27 Kip1 in 30 cases of the normal breast paraffin-embedded tissues were explored. Results The DCIS group was with the highest Skp2 level and the lowest p27 Kip1 level, and the UDH group was with the lowest Skp2 level and the highest p27 Kip1 level. Both Skp2 and p27 Kip1 levels in the DCIS group were significantly different from those in the UDH group (all P<0.01). The levels of Skp2 and p27 Kip1 in the FEA group were significantly different from both the DCIS and UDH groups (all P<0.05). p27 Kip1 was negatively correlated with Skp2 in both the UDH group (r=-0.629, P=0.026) and DCIS group (r=-0.893, P=0.000). Conclusion Overexpression of Skp2 might be the mechanism underlying p27 Kip1 over degradation.

Expression of HIF-1α in breast cancer and precancerous lesions and the relationship to clinicopathological features

Objective： The aim of this study was to observe the expressions and clinical significance of HIF-1a in breast cancer and precancerous lesions, and analyze the relationship between the expressions and clinicopathological features in breast cancer. Methods： We analyzed the HIF-1a expression in 128 cases of invasive ductal carcinomas, 146 precancerous lesions patients including 89 cases of ductal carcinoma in situ and 57 cases of atypical ductal hyperplasia. 53 cases of usual ductal hyperplasia breast tissues were selected as a control group. The specimens were evaluated for HIF-1a, estrogen receptor （ER） ＆ progesterone receptor （PR）, epidermal growth factor receptor type 2 （HER2/neu） and Ki-67. Immunoreactivity was semi-quantitatively evaluated in at least 1000 cells examined under the microscope at 40 x magnification and recorded as the percentage of positive tumor cells over the total number of cells examined in the same area. The percentage scores were subsequently categorized. The express of HIF-1a and their relationship with multiple biological parameters including ER ＆ PR, HER2/neu and Ki-67, the biomarkers levels of CA153, CA125 TSGF, and CEA in blood serum and nipple discharge, histological grade, region lymph node metastasis, distant metastasis and recurrence on files were also assessed. Results： Compared with usual ductal hyperplasia, the positive expression rate of HIF-1a in atypical ductal hyperplasia, ductal carcinoma in situ and invasive ductal carcinomas group was significantly increased （P 〈 0.01）. The positive rates of HIF-1a in invasive ductal carcinomas were 68.75%, which were significantly higher than that in ductal carcinoma in situ （43.8%）, atypical ductal hyperplasia （31.6%）, usual ductal hyperplasia （9.4%; X2 = 13.44, 22.27, 52.79, respectively, P 〈 0.01）. Statistical analysis showed that difference of abnormal expression rate of HIF-1a between ductal carcinoma in situ and usual ductal hyperplasia （X2 = 18.37, P = 0.00）, atypical ductal hyperplasia and usual ductal hyperplasia （x2 = 8.14, P = 0.00） was significant （P = 0.00）. However, no significant difference in the positive expression rate of HIF-1a was found between atypical ductal hyperplasia and ductal carcinoma in situ tissue （X2 = 2.19, P = 0.14）. There was a significantly difference in the mean HIF-1a frequency between ER ＆ PR positive invasive ductal carcinomas group and negative group, epidermal growth factor receptor type 2 （HER2/neu） positive and negative groups, Ki-67 proliferation index 〈 14% and 〉 14% groups, histological grade （I ＋ II） and grade III invasive ductal carcinomas groups, with lymph node metastasis, distant metastasis and recurrence groups （P 〈 0.05） and without groups （P 〈 0.05）. However, there was not difference in the mean HIF-1a between age （〈 50 years vs 〉 50 years）, tumor diameter （〈 2 cm vs 〉 2 cm; P 〉 0.05）. The nipple discharge and serum levels of CA153, TSGF, CA125 and CEA in invasive ductal carcinomas HIF-1a positive patients were significantly higher than those in the negative patients （P 〈 0.05）. Conclusion： In breast cancer, HIF-1a expressibn was abnormally increased. The aberration of HIF-1a may play a key role during oncogenesis （atypical ductal hyperplasia or ductal carcinoma in situ） and promote breast cellular transformation into malignancy, a finding useful for further understanding of tumorigenesis. The abnormal expression of HIF-1a may be as an early event in the development of breast tumor. The over-expression of HIF-1a might be important biological markers for invasion, metastasis and recurrence of breast cancer.

Expression and clinical significance of E-cadherin, β-catenin and E-cadherin-catenins complex in breast cancer and precancerous lesions

Objective： The aim of our study was to observe the expressions and clinical Significance of E-cadherin, β-catenin and E-cadherin-catenins complex in breast cancer and precancerous lesions, and analyze the relationship between the expressions and clinicopathological features in breast cancer. Methods： Immunhistochemical UltraSensitiveTM S-P method was employed to detect the expression of E-cadherin, β-catenin and E-cadherin-catenins complex in 128 cases of invasive ductal carcinomas, 89 cases of ductal carcinoma in situ and 57 cases of atypical ductal hyperplasia, 53 cases of usual ductal hyperplasia breast tissues were selected as a control group. The express of E-cadherin, β-catenin and their relationship with mult biological parameters including histological grade, region lymph node metastasis, distant metastasis and recurrence on files were also assessed. Results： （1） The staining patterns character of E-cadherin, β-catenin and E-cadherin-catenins complex： In UDH breast tissues, E-cadherin and a-catenin were expressed on cell membrane of ductal and acinic cells, showing cellular contour and border among cells. The abnormal expression of the three proteins occurred in breast invasive ductal carcinomas, ductal carcinoma in situ and atypical ductal hyperplasia tissues, showing cytoplasmic or nuclear staining, decrease and loss of cytomembrane staining. （2） The abnormal expression rates of E-cadherin, β-catenin and E-cadherin-catenins complex in invasive ductal carcinomas were 53.91%, 65.63% and 81.25%, which were significantly higher than that in ductal carcinoma in situ, atypical ductal hyperplasia, usual ductal hyperplasia tissues （P 〈 0.01）. Compared with usual ductal hyperplasia breast tissues group, the abnormal expression rates of E-cadherin, β-catenin and E-cadherin-catenins complex were significantly decreased （P 〈 0.01） in the breast cancer group. However, there was no significance of the abnormal expression rate between ductal carcinoma in situ and atypical ductal hyperplasia tissues groups （X2 = 0.76, P = 0.38; x2 = 0.14, P = 0.70; x2 = 0.81, P = 0.37; X2 = 2.19, P = 0.14） （P 〉 0.05）. （3） There was a significantly difference in the mean E-cadherin, β-catenin and E- cadherin-catenins complex frequency between estrogen receptor ＆ progesterone receptor positive IDC group and negative group, epidermal growth factor receptor type 2 （HER2/neu） positive and negative groups, Ki-67 proliferation index 〈 14% and 〉 14% groups, histological grade （I ＋ II） and grade III invasive ductal carcinomas groups, with lymph node metastasis, distant metastasis and recurrence groups （P 〈 0.05） and without groups （P 〈 0.05）. However, there was no difference in the mean E-cadherin, β-catenin and E-cadherin-catenins complex frequency between age （_〈 50 years vs 〉 50 years）, tumor diameter （〈 2 cm vs 〉 2 cm） （P 〉 0.05）. Conclusion： In breast cancer, the expressions of E-cadherin, β-catenin and E-cadherin-catenins complex are abnormally decreased and are correlated with pathology grade, differentiation disturbance and metastasis. E- cadherin and β-catenin may be as the predictors for prognosis. Combined detection may improve accuracy and sensitivity of predicting metastasis and prognosis of breast Cancer.

Comparisons between glucose analogue 2-deoxy-2-(^(18)F)fluoro-D-glucose and ^(18)F-sodium fluoride positron emission tomography/computed tomography in breast cancer patients with bone lesions

AIM: To compare 2-deoxy-2-(18F)fluoro-D-glucose(18F-FDG) and 18F-sodium (18F-NaF) positron emission tomography/computed tomography (PET/CT) accuracy in breast cancer patients with clinically/radiologically suspected or known bone metastases.METHODS: A total of 45 consecutive patients with breast cancer and the presence or clinical/biochemical or radiological suspicion of bone metastatic disease underwent 18F-FDG and 18F-fluoride PET/CT. Imaging results were compared with histopathology when available, or clinical and radiological follow-up of at least 1 year. For each technique we calculated: Sensitivity (Se), specificity (Sp), overall accuracy, positive and negative predictive values, error rate, and Youden’s index. McNemar’s χ2 test was used to test the difference in sensitivity and specificity between the two diagnostic methods. All analyses were computed on a patient basis, and then on a lesion basis, with consideration ofthe density of independent lesions on the co-registered CT (sclerotic, lytic, mixed, no-lesions) and the divergent site of disease (skull, spine, ribs, extremities, pelvis). The impact of adding 18F-NaF PET/CT to the work-up of patients was also measured in terms of change in their management due to 18F-NaF PET/CT findings.RESULTS: The two imaging methods of 18F-FDG and 18F-fluoride PET/CT were significantly different at the patient-based analysis: Accuracy was 86.7% and 84.4%, respectively (McNemar’s χ2 = 6.23, df = 1, P = 0.01). Overall, 244 bone lesions were detected in our analysis. The overall accuracy of the two methods was significantly different at lesion-based analysis (McNemar’s χ2 = 93.4, df = 1, P < 0.0001). In the lesion density-based and site-based analysis, 18F-FDG PET/CT provided more accurate results in the detection of CT-negative metastasis (P < 0.002) and vertebral localizations (P < 0.002); 18F-NaF PET/CT was more accurate in detecting sclerotic (P < 0.005) and rib lesions (P < 0.04). 18F-NaF PET/CT led to a change of management in 3 of the 45 patients (6.6%) by revealing findings that were not detected at 18F-FDG PET/CT.CONCLUSION: 18F-FDG PET/CT is a reliable imaging tool in the detection of bone metastasis in most cases, with a diagnostic accuracy that is slightly, but significantly, superior to that of 18F-NaF PET/CT in the general population of breast cancer patients. However, the extremely high sensitivity of 18F-fluoride PET/CT can exploit its diagnostic potential in specific clinical settings (i.e., small CT-evident sclerotic lesions, high clinical suspicious of relapse, and negative 18F-FDG PET and conventional imaging).

Differentiation between Benign and Malignant Breast Lesions Using ADC on Diffusion-Weighted Imaging at 3.0 T

Aim: To investigate the diagnostic efficiency of apparent diffusion coefficient value (ADC) in differentiating benign from malignant breast lesions at 3.0 T diffusion-weighted imaging with different pair of b value. Methods: Total 110 patients with 107 lesions (44 benign and 63 malignant) were selected for our study with five different b-values 0, 400, 800, 1200 and 1600 s/mm2. ADC values were calculated using different pairs of b values. The cut-off ADC values and diagnostic efficiency were evaluated by receiver operating characteristic analysis. Comparison of Mean ADC value for breast lesions was determined by using independent sample t test. ROC curves were used for diagnostic efficiency of ADC using different pairs of b values. Results: With increase of b value, mean ADC value decreases. The mean ADC values for benign were 1.73 × 10-3 mm2/s for b 0 and 400, 1.57 × 10-3 mm2/s for b 0 and 800, 1.43 × 10-3 mm2/s for b 0 and 1200 and 1.30 × 10-3 mm2/s for b 0 and 1600 s/mm2. The mean ADC values for the malignant breast lesion were 1.21 × 10-3 mm2/s for b 0 and 400, 1.06 × 10-3 mm2/s for b 0 and 800, 0.94 × 10-3 mm2/s for b 0 and 1200 and 0.86 × 10-3 mm2/s for b 0 and 1600 s/mm2. ADC diagnostic efficiency for benign and malignant lesion for all the pair of b value combination was significant (p > 0.05). The sensitivity, specificity, PPV, NPV and accuracy were 80.95%, 90.9%, 92.72%, 76.92%, 85.04% for b 0 and 400;84.12%, 90.9%, 92.98%, 80%, 86.91% for b 0 and 800;84.12%, 90.9%, 92.98%, 80%, 86.91% for b 0 and 1200;84.12%, 90.9%, 92.98%, 80%, 86.91% for b 0 and 1600 s/mm2 respectively. Conclusion: DWI is effective in differentiating benign and malignant breast lesion at 3.0 Tesla using ADC with higher b value combination.

A Novel Approach to Breast Tumor Detection: Enhanced Speckle Reduction and Hybrid Classification in Ultrasound Imaging

Breast cancer detection heavily relies on medical imaging, particularly ultrasound, for early diagnosis and effectivetreatment. This research addresses the challenges associated with computer-aided diagnosis (CAD) of breastcancer fromultrasound images. The primary challenge is accurately distinguishing between malignant and benigntumors, complicated by factors such as speckle noise, variable image quality, and the need for precise segmentationand classification. The main objective of the research paper is to develop an advanced methodology for breastultrasound image classification, focusing on speckle noise reduction, precise segmentation, feature extraction, andmachine learning-based classification. A unique approach is introduced that combines Enhanced Speckle ReducedAnisotropic Diffusion (SRAD) filters for speckle noise reduction, U-NET-based segmentation, Genetic Algorithm(GA)-based feature selection, and Random Forest and Bagging Tree classifiers, resulting in a novel and efficientmodel. To test and validate the hybrid model, rigorous experimentations were performed and results state thatthe proposed hybrid model achieved accuracy rate of 99.9%, outperforming other existing techniques, and alsosignificantly reducing computational time. This enhanced accuracy, along with improved sensitivity and specificity,makes the proposed hybrid model a valuable addition to CAD systems in breast cancer diagnosis, ultimatelyenhancing diagnostic accuracy in clinical applications.

Diagnosis and excision of breast multi-focal lesions by ultrasound-guided vacuum-assisted biopsy:a comparative evaluation

Objective To compare and evaluate the efficacy of diagnosis and excision for appropriately selected breast multi-focal lesions and solitary lesion by ultrasound-guided vacuum-assisted biopsy(UGVAB).Methods Among 392 appropriately selected patients,187 patients with multi-focal lesions and 205 patients with solitary lesion were treated by the 8-gauge UGVAB from May 2007 to June 2009.All lesions were removed as completely as possible.The patients with benign pathology underwent physical and ultrasound examinations at one week and 6 months after procedure.Results During the procedure,only three patients had vasovagal syncope and twenty others complained of other intraoperative discomfort.An accurate pathological diagnosis was obtained in all lesions.There was no apparent false-negative result among the 696 lesions with benign pathology at a follow-up of 6 months after procedure.The rates of malignant or premalignant pathology,postoperative complications and residual lesions in patients with multi-focal lesions were higher than those in patients with solitary lesion.If each lesion was considered as a subject of study,there was no significant difference between the two groups.Conclusion UGVAB is an effective method for diagnosis and excision of appropriately selected breast multi-focal lesions and can be used routinely.

Morphological Patterns of Elastic and Reticulum Fibers in Breast Lesions

Background: The difficulty with histopathology diagnosis is the presence of numerous benign reactive breast lesions with morphological features mimic malignant lesions. Thus, the objective of this study was to assess the merit of morphological patterns of elastic and reticular fibers in differential diagnosis of benign and malignant breast lesions. Methodology: Fifty biopsies were obtained from females with breast Lesions (25 breast carcinoma and 25 benign lesions), their ages ranging from 17 to 85 years with mean age of 39 years old. Morphologic demonstrations of elastic and reticular fibers were performed using conventional histochemical procedures. Results: Intense grades of elastic fiber staining were achieved with carcinoma tissues. Dwindled grades of elastic fiber staining were detected with fibrocystic changes. Elastic fibers in breast carcinoma are significantly increased compared to benign breast lesions P Conclusion: Histochemical quantifications of elastic and reticular fibers can assist in routine diagnosis of breast lesions. Elastic fibers significantly increase in breast carcinoma compared to benign breast lesions.

The Significance of Minimally Invasive Core Needle Biopsy and Immunohistochemistry Analysis in 235 Cases with Breast Lesions

OBJECTIVE To evaluate core needle biopsy (CNB) as a mini-mally invasive method to examine breast lesions and discuss theclinical significance of subsequent immunohistochemistry (IHC)analysis.METHODS The clinical data and pathological results of 235 pa-tients with breast lesions, who received CNB before surgery, wereanalyzed and compared. Based on the results of CNB done beforesurgery, 87 out of 204 patients diagnosed as invasive carcinomawere subjected to immunodetection for p53, c-erbB-2, ER and PR.The morphological change of cancer tissues in response to chemo-therapy was also evaluated.RESULTS In total of 235 cases receiving CNB examination, 204were diagnosed as invasive carcinoma, reaching a 100% consistentrate with the surgical diagnosis. Sixty percent of the cases diag-nosed as non-invasive carcinoma by CNB was identified to havethe presence of invading elements in surgical specimens, and simi-larly, 50% of the cases diagnosed as atypical ductal hyperplasia byCNB was confirmed to be carcinoma by the subsequent result ofexcision biopsy. There was no significant difference between theCNB biopsy and regular surgical samples in positive rate of im-munohistochemistry analysis (p53, c-erbB-2, ER and PR; P >0.05).However, there was significant difference in the expression rate ofp53 and c-erbB-2 between the cases with and without morphologi-cal change in response to chemotherapy (P < 0.05). In most caseswith p53 and c-erbB-2 positive, there was no obvious morphologi-cal change after chemotherapy.CONCLUSION CNB is a cost-effective diagnostic method withminimal invasion for breast lesions, although it still has some limi-tations. Immunodetection on CNB tissue is expected to have greatsignificance in clinical applications.

A STUDY OF LECTINS IN HUMAN BREAST CANCER AND PRECANCEROUS LESIONS

This paper report the binding pattern of 12 different kinds of lectin in human breast lesions. Of the 12 kinds of lectins, WGA showed the highest binding activity to the cells of the breast tissue derived; the binding of BSL, SBA and DBA were localized to membrane or cytoplasm of cancer cells and to the lumina membrane border of the normal and benign lesions; PNA receptor is related with the differentiation of the breast; cancer; we didn't find any relationship between the lectin receptor and the tendency of metastasis of breast cancer.

A Correlation between Histochemical Patterns of Connective Tissue Fibers and AgNORs in Breast Lesions

Background: The precise histopathologic diagnosis of a breast lesion is the first step towards the most appropriate inclusive patient’s management. The aim of this study was to evaluate the correlation between histochemical patterns of connective tissue fibers and NORs in breast lesions. Methodology: Patients with breast cancer (n = 25) were ascertained as the case group, and those with benign breast lesions were ascertained as a control group (n = 25). Histochemical evaluations of elastic fibers, reticular fibers and mean AgNORs count were performed for all study subjects. Results: Elastic fibers intensity was brought into being lessening in benign lesions and upturns in the direction of malignant lesions. The intensity of elastic fibers was found to intensify with rises of neoplastic changes in breast cancer and this was found to be statistically significant P Conclusion: Demonstration of connective tissue fibers (particularly elastic fibers) can strength the diagnostic evidence for conventional histopathology diagnosis. Mean AgNORs count can merge as an important quantitative marker in breast cancer diagnosis.

Significance of β-tubulin Expression in Breast Premalignant Lesions and Carcinomas

OBJECTIVE To explore the expression of β-tubulin in premalignant lesions and carcinomas of the breast, and to observe the relationship of its expression with breast cancer pathological features. METHODS The expression of β-tubulin was detected immunohistochemically in 50 specimens of premalignant lesions of the breast （ADH and Peri-PM with ADH）, 50 specimens of breast in situ ductal carcinomas （DCIS）, and 50 specimens of invasive ductal carcinomas （IDC）. Thirty specimens of normal breast tissues served as a control group. RESULTS Immunohistochemical analysis showed that： the differences among the 4 groups （normal breast tissues, breast premalignant lesions, DCIS and IDC, P 〈 0.05） were significant, and there were also statistically significant differences between any 2 groups （P 〈 0.05） except for the β-tubulin positive expression comparing DCIS versus IDC （P 〉 0.05）. In addition, β-tubulin was expressed at a higher level in Peri-PM with ADH compared to ADH （P 〈 0.05）. Following the degree of breast epithelial hyperplasia involved, and its development into carcinoma, the β-tubulin positive expression displayed an elevating tendency. We also found a significant positive relationship of β-tubulin expression with lymph node metastasis （P 〈 0.05）, but no significant correlation with histological grading and nuclear grade. CONCLUSION Centrosome defects may be an early event in the development of breast cancer and they can also promote tumor progression. Studies of aberrations of centrosomal proteins provide a new way to tumorigenesis. explore the mechanism of breast tumorigenesis.

Evaluation of Diagnostic Value of Ultrasound and Magnetic Resonance Imaging for Malignant and Benign Breast Lesions

Objectives:To investigate diagnostic value of ultrasound and magnetic resonance imaging(MRI)for malignant and benign breast lesions.Methods:Retrospective analysis of treatment data of 48 patients diagnosed with malignant and benign breast lesions in our hospital,collected from December 2017 to November 2018.A total number of 56 breast masses were examined by both ultrasound and MRI,and were compared with postoperative pathological biopsy results.Results:Postoperative pathological biopsy results showed that there were 26 and 30 malignant and benign lesions respectively.Comparison of MRI curve type of malignant and benign lesions showed statistical significance(P<0.05).By comparison with pathological biopsy results,specificity and sensitivity of ultrasound diagnosis were 83.33%(25/30)and 84.61%(22/26)respectively;specificity and sensitivity of MRI diagnosis were 96.66%(29/30)and 92.30%(24/26)respectively.Conclusions:Ultrasonographic examination of malignant and benign breast lesions is straight-forward,simple and inexpensive.Accuracy,specificity and sensitivity of MRI are significantly higher than ultrasound in examining malignant and benign breast lesions,this can reduce misdiagnosis.

Clinical Application of Preliminary Breast Cancer Screening for Dense Breasts Using Real-Time AI-Powered Ultrasound with Deep-Learning Computer Vision

Objective:We propose a solution that is backed by cloud computing,combines a series of AI neural networks of computer vision;is capable of detecting,highlighting,and locating breast lesions from a live ultrasound video feed,provides BI-RADS categorizations;and has reliable sensitivity and specificity.Multiple deep-learning models were trained on more than 300,000 breast ultrasound images to achieve object detection and regions of interest classification.The main objective of this study was to determine whether the performance of our Al-powered solution was comparable to that of ultrasound radiologists.Methods:The noninferiority evaluation was conducted by comparing the examination results of the same screening women between our AI-powered solution and ultrasound radiologists with over 10 years of experience.The study lasted for one and a half years and was carried out in the Duanzhou District Women and Children's Hospital,Zhaoqing,China.1,133 females between 20 and 70 years old were selected through convenience sampling.Results:The accuracy,sensitivity,specificity,positive predictive value,and negative predictive value were 93.03%,94.90%,90.71%,92.68%,and 93.48%,respectively.The area under the curve(AUC)for all positives was 0.91569 and the AUC for all negatives was 0.90461.The comparison indicated that the overall performance of the AI system was comparable to that of ultrasound radiologists.Conclusion:This innovative AI-powered ultrasound solution is cost-effective and user-friendly,and could be applied to massive breast cancer screening.

Application Value of Contrast-Enhanced Ultrasound in the Diagnosis of Breast Lesions

Objective:To explore the value and effect of contrast-enhanced ultrasound in the diagnosis of breast lesions.Methods:Seventy-two patients with breast lesions in Shaanxi Provincial People’s Hospital from June 2020 to December 2021 were selected as the research subjects.All 72 patients met the diagnostic criteria of breast lesions.Two patients with incomplete clinical data were excluded;hence,there were 70 patients remaining.The diagnostic results of the two examination methods and the diagnostic value of the joint examination for breast lesions were analyzed and compared.Results:The results of benign,malignant,missed,and misdiagnosed breast lesions by contrast-enhanced ultrasound were 31,32,6,and 1 cases,respectively,accounting for 44.29%,45.71%,8.57%,and 1.43%,respectively.The results of benign,malignant,missed,and misdiagnosed breast lesions by ultrasound automatic volume imaging were 21,24,17,and 8 cases,respectively,accounting for 30.00%,34.28%,24.29%,and 11.43%,respectively.There were statistical differences between the two groups for missed diagnosis and misdiagnosis,but there was no significant difference between the two groups for benign and malignant lesions.The accuracy,sensitivity,and specificity of contrast-enhanced ultrasound were 87.69%,83.62%,and 83.45%,respectively;the accuracy,sensitivity,and specificity of ultrasound automatic volume imaging were 71.39%,68.99%,and 74.69%,respectively;the accuracy,sensitivity,and specificity of contrast-enhanced ultrasound combined with ultrasound automatic volume imaging were 96.29%,92.68%,and 91.78%,respectively.Conclusion:Contrast-enhanced ultrasonography has a high clinical application value and a low inspection error rate in the diagnosis of breast lesions.It merits clinical advancement since it helps doctors diagnose and treat breast lesions more effectively.