Objective:To explore the diagnostic value of ultrasound imaging for breast nodules of breast imaging-reporting and data system(BI-RADS)category 3 and above.Methods:From June 2021 to July 2022,163 patients with breast ...Objective:To explore the diagnostic value of ultrasound imaging for breast nodules of breast imaging-reporting and data system(BI-RADS)category 3 and above.Methods:From June 2021 to July 2022,163 patients with breast nodules of BI-RADS 3 or above were selected as the research subjects.After pathological diagnosis,24 cases were malignant breast nodules of BI-RADS 3 or above,while 139 cases were benign breast nodules of BI-RADS 3 or above.The diagnosis rate of malignant and benign breast nodules of BI-RADS 3 or above,including 95%CI,was observed and analyzed.Results:The malignant and benign detection rates of conventional ultrasound were 88.63%and 75.00%,respectively,and the malignant and benign detection rates of ultrasound imaging were 93.18%and 87.50%,respectively,with 95%CIs greater than 0.7.Conclusion:Ultrasound imaging can help improve the diagnostic accuracy of benign and malignant breast nodules of BI-RADS 3 and above and reduce the misdiagnosis rate.展开更多
Objective:To investigate the correlation of BI-RADS grading with cancer cell proliferation and invasion.Methods: A total of 138 patients who were diagnosed with breast cancer in our hospital between August 2015 and Oc...Objective:To investigate the correlation of BI-RADS grading with cancer cell proliferation and invasion.Methods: A total of 138 patients who were diagnosed with breast cancer in our hospital between August 2015 and October 2017 were divided into 2 cases at stage Ⅲ, 51 cases at stage Ⅳ and 85 cases at stage Ⅴ after the BI-RADS grading was reviewed. Differences in the expression of proliferation-related genes and invasion-related genes were compared among the three groups of patients.Results: Expressions of pro-proliferation genes MTA2, mTOR, PKM2, Notch1 and FSCN1 mRNA in lesion tissue of patients at stage Ⅴ and Ⅳ were higher than those of patients at stage Ⅲ whereas expressions of anti-proliferation genes BRCA1 and PTEN mRNA were lower than those of patients at stage Ⅲ;expressions of pro-invasion genes Gab2 and NUAK1 mRNA were higher than those of patients at stage Ⅲ whereas expressions of anti-invasion genes EBP50, EDN3, FBXW7 and NDRG1 mRNA were lower than those of patients at stage Ⅲ. With the increase of BI-RADS grades, the expression levels of pro-proliferation genes and pro-invasion genes further increased while the expression levels of anti-proliferation and anti-invasion genes further decreased in the lesion tissue.Conclusions: BI-RADS grading of patients with breast cancer is positively correlated with the proliferation and invasion activity of cancer cells.展开更多
目的:分析BI-RADS分级超声诊断乳腺病变的应用价值。方法:选取本院2019年10月—2020年10月共24例乳腺病变患者,均行BI-RADS分级超声诊断,分析其诊断结果与应用价值。结果:BI-RADS分级超声诊断为良性病变16例,恶性病变8例,BI-RADS分级中,...目的:分析BI-RADS分级超声诊断乳腺病变的应用价值。方法:选取本院2019年10月—2020年10月共24例乳腺病变患者,均行BI-RADS分级超声诊断,分析其诊断结果与应用价值。结果:BI-RADS分级超声诊断为良性病变16例,恶性病变8例,BI-RADS分级中,2级2例,3级15例,4级3例,5级4例。B I-R A D S分级超声诊断的准确度、敏感度、特异度、阳性预测值、阴性预测值分别为87.50%、77.78%、93.33%、87.50%、87.50%。结论:BI-RADS分级超声在乳腺病变诊断中可发挥一定的应用价值,值得推广。展开更多
Background: Non Alcoholic Fatty Liver Disease (NAFLD) is common hepatic disorder which is recognized as a great health problem causing different diseases worldwide. To determine non-alcoholic fatty liver and assess th...Background: Non Alcoholic Fatty Liver Disease (NAFLD) is common hepatic disorder which is recognized as a great health problem causing different diseases worldwide. To determine non-alcoholic fatty liver and assess the relation of fasting total lipids with different grades of fatty liver (NAFLD) subjects diagnosed through ultrasound. By identifying the risk factors of Lipid Profile and NAFLD, the health care provider can properly manage it, even awareness specific for patients and community as general being launched to diminish the morbidity and mortality by this study. Methods: This cross-sectional research carried out at Medicine Department of PMCH, Shaheed Benazirabad. This study comprises 300 subjects of NAFLD. Patients who attended the medicine department with abdominal complains after examination consultant advised ultrasound. The ultrasound performed in Radiology department, patients with findings of fatty liver selected, and history taken from all the patients with special regard to alcoholism. Fasting lipid profile done in all patients included in present study. The blood samples collected from a vein and immediately sent to the laboratory. Results: This present study enlisted total 300 patients out of them 203 (67.7%) belonged to male gender and 97 (32.3%) were females. A ratio of 2.1:1 observed in male and female subjects. There were 176 (58.7%) patients in grade I, while 82 (27.3%) patients in grade II and 42 (14%) patients in grade III. The cholesterol value was abnormal in 186 (62%), while normal in remaining 114 (38%) patients. Triglycerides were abnormal in 152 (50.7%) while in 148 (49.3%) patients were normal. HDL in 155 (51.7%) patients was abnormal while 145 (48.3%) patients had normal values. Low density lipoprotein value in 117 (39%) patient was abnormal and 183 (61%) patient normal. Very low-density lipoprotein in 117 (39%) patients was abnormal and 183 (61%) patient normal. The mean age and SD of patients in present study was 46.83 ± 8.82, with minimum 30 years and maximum age 65 years respectively (p value 0.000). The mean and SD of total cholesterol value was 154.66 ± 58.88 mg/dl (p value 1.000), TG 180.98 ± 96.46 mg/dl (p value 0.974), HDL-C 32.13 ± 5.88 mg/dl (p value 0.000), LDL-C 116.41 ± 41.002 mg/dl (p value 0.000), and VLDL-C was 43.47 ± 34.34 mg/dl (p value 0.000). Conclusions: In current study, variable changes in lipid profile observed amongst NAFLD (non-alcoholic fatty liver disease) patients who diagnosed on ultrasound. Early diagnosis and treatment of non alcoholic fatty liver with abnormal lipids can prevent from long-term complication of fatty liver.展开更多
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 vide...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.展开更多
In the current study, we sought to evaluate the diagnostic efficacies of conventional ultrasound（US）, contrastenhanced US（CEUS）, combined US and CEUS and magnetic resonance imaging（MRI） in detecting focal solid ...In the current study, we sought to evaluate the diagnostic efficacies of conventional ultrasound（US）, contrastenhanced US（CEUS）, combined US and CEUS and magnetic resonance imaging（MRI） in detecting focal solid breast lesions. Totally 117 patients with 120 BI-RADS category 4A-5 breast lesions were evaluated by conventional US and CEUS, and MRI, respectively. SonoVue was used as contrast agent in CEUS and injected as an intravenous bolus; nodule scan was performed 4 minutes after bolus injection. A specific sonographic quantification software was used to obtain color-coded maps of perfusion parameters for the investigated lesion, namely the time-intensity curve.The pattern of contrast enhancement and related indexes regarding the time-intensity curve were used to describe the lesions, comparatively with pathological results. Histopathologic examination revealed 46 benign and 74 malignant lesions. Sensitivity, specificity, and accuracy of US in detecting malignant breast lesions were 90.14%, 95.92%, and 92.52%, respectively. Meanwhile, CE-MRI showed sensitivity, specificity, and accuracy of 88.73%, 95.92%, and91.67%, respectively. The area under the ROC curve for combined US and CEUS in discriminating benign from malignant breast lesions was 0.936, while that of MRI was 0.923, with no significant difference between them, as well as among groups. The time-intensity curve of malignant hypervascular fibroadenoma and papillary lesions mostly showed a fast-in/fast-out pattern, with no good correlation between them（kappa 〈0.20）. In conclusion, the combined use of conventional US and CEUS displays good agreement with MRI in differentiating benign from malignant breast lesions.展开更多
文摘Objective:To explore the diagnostic value of ultrasound imaging for breast nodules of breast imaging-reporting and data system(BI-RADS)category 3 and above.Methods:From June 2021 to July 2022,163 patients with breast nodules of BI-RADS 3 or above were selected as the research subjects.After pathological diagnosis,24 cases were malignant breast nodules of BI-RADS 3 or above,while 139 cases were benign breast nodules of BI-RADS 3 or above.The diagnosis rate of malignant and benign breast nodules of BI-RADS 3 or above,including 95%CI,was observed and analyzed.Results:The malignant and benign detection rates of conventional ultrasound were 88.63%and 75.00%,respectively,and the malignant and benign detection rates of ultrasound imaging were 93.18%and 87.50%,respectively,with 95%CIs greater than 0.7.Conclusion:Ultrasound imaging can help improve the diagnostic accuracy of benign and malignant breast nodules of BI-RADS 3 and above and reduce the misdiagnosis rate.
文摘Objective:To investigate the correlation of BI-RADS grading with cancer cell proliferation and invasion.Methods: A total of 138 patients who were diagnosed with breast cancer in our hospital between August 2015 and October 2017 were divided into 2 cases at stage Ⅲ, 51 cases at stage Ⅳ and 85 cases at stage Ⅴ after the BI-RADS grading was reviewed. Differences in the expression of proliferation-related genes and invasion-related genes were compared among the three groups of patients.Results: Expressions of pro-proliferation genes MTA2, mTOR, PKM2, Notch1 and FSCN1 mRNA in lesion tissue of patients at stage Ⅴ and Ⅳ were higher than those of patients at stage Ⅲ whereas expressions of anti-proliferation genes BRCA1 and PTEN mRNA were lower than those of patients at stage Ⅲ;expressions of pro-invasion genes Gab2 and NUAK1 mRNA were higher than those of patients at stage Ⅲ whereas expressions of anti-invasion genes EBP50, EDN3, FBXW7 and NDRG1 mRNA were lower than those of patients at stage Ⅲ. With the increase of BI-RADS grades, the expression levels of pro-proliferation genes and pro-invasion genes further increased while the expression levels of anti-proliferation and anti-invasion genes further decreased in the lesion tissue.Conclusions: BI-RADS grading of patients with breast cancer is positively correlated with the proliferation and invasion activity of cancer cells.
文摘目的:分析BI-RADS分级超声诊断乳腺病变的应用价值。方法:选取本院2019年10月—2020年10月共24例乳腺病变患者,均行BI-RADS分级超声诊断,分析其诊断结果与应用价值。结果:BI-RADS分级超声诊断为良性病变16例,恶性病变8例,BI-RADS分级中,2级2例,3级15例,4级3例,5级4例。B I-R A D S分级超声诊断的准确度、敏感度、特异度、阳性预测值、阴性预测值分别为87.50%、77.78%、93.33%、87.50%、87.50%。结论:BI-RADS分级超声在乳腺病变诊断中可发挥一定的应用价值,值得推广。
文摘Background: Non Alcoholic Fatty Liver Disease (NAFLD) is common hepatic disorder which is recognized as a great health problem causing different diseases worldwide. To determine non-alcoholic fatty liver and assess the relation of fasting total lipids with different grades of fatty liver (NAFLD) subjects diagnosed through ultrasound. By identifying the risk factors of Lipid Profile and NAFLD, the health care provider can properly manage it, even awareness specific for patients and community as general being launched to diminish the morbidity and mortality by this study. Methods: This cross-sectional research carried out at Medicine Department of PMCH, Shaheed Benazirabad. This study comprises 300 subjects of NAFLD. Patients who attended the medicine department with abdominal complains after examination consultant advised ultrasound. The ultrasound performed in Radiology department, patients with findings of fatty liver selected, and history taken from all the patients with special regard to alcoholism. Fasting lipid profile done in all patients included in present study. The blood samples collected from a vein and immediately sent to the laboratory. Results: This present study enlisted total 300 patients out of them 203 (67.7%) belonged to male gender and 97 (32.3%) were females. A ratio of 2.1:1 observed in male and female subjects. There were 176 (58.7%) patients in grade I, while 82 (27.3%) patients in grade II and 42 (14%) patients in grade III. The cholesterol value was abnormal in 186 (62%), while normal in remaining 114 (38%) patients. Triglycerides were abnormal in 152 (50.7%) while in 148 (49.3%) patients were normal. HDL in 155 (51.7%) patients was abnormal while 145 (48.3%) patients had normal values. Low density lipoprotein value in 117 (39%) patient was abnormal and 183 (61%) patient normal. Very low-density lipoprotein in 117 (39%) patients was abnormal and 183 (61%) patient normal. The mean age and SD of patients in present study was 46.83 ± 8.82, with minimum 30 years and maximum age 65 years respectively (p value 0.000). The mean and SD of total cholesterol value was 154.66 ± 58.88 mg/dl (p value 1.000), TG 180.98 ± 96.46 mg/dl (p value 0.974), HDL-C 32.13 ± 5.88 mg/dl (p value 0.000), LDL-C 116.41 ± 41.002 mg/dl (p value 0.000), and VLDL-C was 43.47 ± 34.34 mg/dl (p value 0.000). Conclusions: In current study, variable changes in lipid profile observed amongst NAFLD (non-alcoholic fatty liver disease) patients who diagnosed on ultrasound. Early diagnosis and treatment of non alcoholic fatty liver with abnormal lipids can prevent from long-term complication of fatty liver.
文摘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.
基金supported by the Natural Science Foundation of Jiangsu University(14KJB320003)
文摘In the current study, we sought to evaluate the diagnostic efficacies of conventional ultrasound（US）, contrastenhanced US（CEUS）, combined US and CEUS and magnetic resonance imaging（MRI） in detecting focal solid breast lesions. Totally 117 patients with 120 BI-RADS category 4A-5 breast lesions were evaluated by conventional US and CEUS, and MRI, respectively. SonoVue was used as contrast agent in CEUS and injected as an intravenous bolus; nodule scan was performed 4 minutes after bolus injection. A specific sonographic quantification software was used to obtain color-coded maps of perfusion parameters for the investigated lesion, namely the time-intensity curve.The pattern of contrast enhancement and related indexes regarding the time-intensity curve were used to describe the lesions, comparatively with pathological results. Histopathologic examination revealed 46 benign and 74 malignant lesions. Sensitivity, specificity, and accuracy of US in detecting malignant breast lesions were 90.14%, 95.92%, and 92.52%, respectively. Meanwhile, CE-MRI showed sensitivity, specificity, and accuracy of 88.73%, 95.92%, and91.67%, respectively. The area under the ROC curve for combined US and CEUS in discriminating benign from malignant breast lesions was 0.936, while that of MRI was 0.923, with no significant difference between them, as well as among groups. The time-intensity curve of malignant hypervascular fibroadenoma and papillary lesions mostly showed a fast-in/fast-out pattern, with no good correlation between them（kappa 〈0.20）. In conclusion, the combined use of conventional US and CEUS displays good agreement with MRI in differentiating benign from malignant breast lesions.
