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
BACKGROUND The incidence rate of breast cancer has exceeded that of lung cancer,and it has become the most malignant type of cancer in the world.BI-RADS 4 breast nodules have a wide range of malignant risks and are as...BACKGROUND The incidence rate of breast cancer has exceeded that of lung cancer,and it has become the most malignant type of cancer in the world.BI-RADS 4 breast nodules have a wide range of malignant risks and are associated with challenging clinical decision-making.AIM To explore the diagnostic value of artificial intelligence(AI)automatic detection systems for BI-RADS 4 breast nodules and to assess whether conventional ultrasound BI-RADS classification with AI automatic detection systems can reduce the probability of BI-RADS 4 biopsy.METHODS A total of 107 BI-RADS breast nodules confirmed by pathology were selected between June 2019 and July 2020 at Hwa Mei Hospital,University of Chinese Academy of Sciences.These nodules were classified by ultrasound doctors and the AI-SONIC breast system.The diagnostic values of conventional ultrasound,the AI automatic detection system,conventional ultrasound combined with the AI automatic detection system and adjusted BI-RADS classification diagnosis were statistically analyzed.RESULTS Among the 107 breast nodules,61 were benign(57.01%),and 46 were malignant(42.99%).The pathology results were considered the gold standard;furthermore,the sensitivity,specificity,accuracy,Youden index,and positive and negative predictive values were 84.78%,67.21%,74.77%,0.5199,66.10%and 85.42%for conventional ultrasound BI-RADS classification diagnosis,86.96%,75.41%,80.37%,0.6237,72.73%,and 88.46%for automatic AI detection,80.43%,90.16%,85.98%,0.7059,86.05%,and 85.94%for conventional ultrasound BI-RADS classification with automatic AI detection and 93.48%,67.21%,78.50%,0.6069,68.25%,and 93.18%for adjusted BI-RADS classification,respectively.The biopsy rate,cancer detection rate and malignancy risk were 100%,42.99%and 0%and 67.29%,61.11%,and 1.87%before and after BI-RADS adjustment,respectively.CONCLUSION Automatic AI detection has high accuracy in determining benign and malignant BI-RADS 4 breast nodules.Conventional ultrasound BI-RADS classification combined with AI automatic detection can reduce the biopsy rate of BI-RADS 4 breast nodules.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
Objective: We investigated the correlations between background parenchymal enhancement (BPE) and MRI interpretations with respect to short-interval follow-ups and biopsy rates. Methods: All accessible MRI examinations...Objective: We investigated the correlations between background parenchymal enhancement (BPE) and MRI interpretations with respect to short-interval follow-ups and biopsy rates. Methods: All accessible MRI examinations from 128 women during a limited time period in 2016 were evaluated. A blinded radiologist visually categorized BPE as minimal, mild, moderate, or marked. A BI-RADS category was also assigned. We used descriptive statistics to report the findings and chi-square and Fisher’s exact tests to compare categories. Results: Prevalence of minimal, mild, moderate, and marked BPE was 14.1%, 43.0%, 32.0%, and 10.9%, respectively. The short-interval follow-up rates were 22.2%, 27.3%, 26.8%, and 7.1% in women with minimal, mild, moderate, and marked BPE, respectively. BPE was not associated with the short-interval follow-up rate (p-value = 0.477). Biopsy rates were 22.2%, 27.3%, 22.0%, and 57.1% in women with minimal, mild, moderate, and marked BPE, respectively. Although there was no significant relationship between biopsy rates and BPE levels (p-value = 0.095) in the total population, these two factors were significantly associated in premenopausal women (p-value = 0.023) and in women of 30 - 39 years (p-value = 0.001). Conclusion: Higher BPE does not correlate with short-interval follow-up rates, but appears to be related to biopsy rate, thus causing false-positives and unnecessary biopsy recommendations, particularly in younger, premenopausal women.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
Objective: To investigate histo-pathological distribution and clinico-pathological significance in a large Chinese triple-negative breast cancer(TNBC) patients serials based on the latest understanding of its clinico-...Objective: To investigate histo-pathological distribution and clinico-pathological significance in a large Chinese triple-negative breast cancer(TNBC) patients serials based on the latest understanding of its clinico-pathological diversity, and to provide more information to clinicians to improve precision of individualized treatment of TNBC.Methods: A retrospective analysis was performed on patients with TNBC at Breast Disease Center, Peking University First Hospital between January 2010 and December 2019. Histo-and clinico-pathological characteristics were analyzed by Chi-square test and Student's t-test, and prognoses were calculated using KaplanMeier method and a Cox proportionate hazards model. Bonferroni correction was used to correct for multiple comparison.Results: Conventional type of TNBC(c TNBC) were identified in 73.7% of 582 TNBC, while special type of TNBC(s TNBC) were 26.3%, including 71 apocrine carcinoma, 20 medullary carcinoma, 31 metaplastic carcinoma, 18 invasive lobular carcinoma, 7 invasive micropapillary carcinoma, 5 adenoid cystic carcinoma and 1 acinic cell carcinoma. Compared to s TNBC, c TNBC was associated with high histologic grade(P<0.001) and lower androgen receptor(AR) expression(P<0.001). TNM stage of low-grade c TNBC was significantly lower than that of high-grade c TNBC(P=0.002). Although no significant difference, there was a trend that the rate of 5-year disease-free survival(DFS) and 5-year overall survival(OS) were longer in high-grade c TNBC than in high-grade s TNBC(P=0.091 and 0.518), and were longer in low-grade s TNBC than in high-grade s TNBC(P=0.051 and0.350). Metaplastic carcinomas showed larger tumor size(P=0.008) and higher proliferative Ki67 index(P=0.004)than c TNBCs.Conclusions: Results from our cohort imply that sub-categorization or subtyping and histological grading could be meaningful in pathological evaluation of TNBC, and need to be clarified in more large collections of TNBC.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BACKGROUND The incidence rate of breast cancer has exceeded that of lung cancer,and it has become the most malignant type of cancer in the world.BI-RADS 4 breast nodules have a wide range of malignant risks and are associated with challenging clinical decision-making.AIM To explore the diagnostic value of artificial intelligence(AI)automatic detection systems for BI-RADS 4 breast nodules and to assess whether conventional ultrasound BI-RADS classification with AI automatic detection systems can reduce the probability of BI-RADS 4 biopsy.METHODS A total of 107 BI-RADS breast nodules confirmed by pathology were selected between June 2019 and July 2020 at Hwa Mei Hospital,University of Chinese Academy of Sciences.These nodules were classified by ultrasound doctors and the AI-SONIC breast system.The diagnostic values of conventional ultrasound,the AI automatic detection system,conventional ultrasound combined with the AI automatic detection system and adjusted BI-RADS classification diagnosis were statistically analyzed.RESULTS Among the 107 breast nodules,61 were benign(57.01%),and 46 were malignant(42.99%).The pathology results were considered the gold standard;furthermore,the sensitivity,specificity,accuracy,Youden index,and positive and negative predictive values were 84.78%,67.21%,74.77%,0.5199,66.10%and 85.42%for conventional ultrasound BI-RADS classification diagnosis,86.96%,75.41%,80.37%,0.6237,72.73%,and 88.46%for automatic AI detection,80.43%,90.16%,85.98%,0.7059,86.05%,and 85.94%for conventional ultrasound BI-RADS classification with automatic AI detection and 93.48%,67.21%,78.50%,0.6069,68.25%,and 93.18%for adjusted BI-RADS classification,respectively.The biopsy rate,cancer detection rate and malignancy risk were 100%,42.99%and 0%and 67.29%,61.11%,and 1.87%before and after BI-RADS adjustment,respectively.CONCLUSION Automatic AI detection has high accuracy in determining benign and malignant BI-RADS 4 breast nodules.Conventional ultrasound BI-RADS classification combined with AI automatic detection can reduce the biopsy rate of BI-RADS 4 breast nodules.
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Objective: We investigated the correlations between background parenchymal enhancement (BPE) and MRI interpretations with respect to short-interval follow-ups and biopsy rates. Methods: All accessible MRI examinations from 128 women during a limited time period in 2016 were evaluated. A blinded radiologist visually categorized BPE as minimal, mild, moderate, or marked. A BI-RADS category was also assigned. We used descriptive statistics to report the findings and chi-square and Fisher’s exact tests to compare categories. Results: Prevalence of minimal, mild, moderate, and marked BPE was 14.1%, 43.0%, 32.0%, and 10.9%, respectively. The short-interval follow-up rates were 22.2%, 27.3%, 26.8%, and 7.1% in women with minimal, mild, moderate, and marked BPE, respectively. BPE was not associated with the short-interval follow-up rate (p-value = 0.477). Biopsy rates were 22.2%, 27.3%, 22.0%, and 57.1% in women with minimal, mild, moderate, and marked BPE, respectively. Although there was no significant relationship between biopsy rates and BPE levels (p-value = 0.095) in the total population, these two factors were significantly associated in premenopausal women (p-value = 0.023) and in women of 30 - 39 years (p-value = 0.001). Conclusion: Higher BPE does not correlate with short-interval follow-up rates, but appears to be related to biopsy rate, thus causing false-positives and unnecessary biopsy recommendations, particularly in younger, premenopausal women.
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。
基金supported by the National Key R&D Program of China (No.2016YFC0901302)。
文摘Objective: To investigate histo-pathological distribution and clinico-pathological significance in a large Chinese triple-negative breast cancer(TNBC) patients serials based on the latest understanding of its clinico-pathological diversity, and to provide more information to clinicians to improve precision of individualized treatment of TNBC.Methods: A retrospective analysis was performed on patients with TNBC at Breast Disease Center, Peking University First Hospital between January 2010 and December 2019. Histo-and clinico-pathological characteristics were analyzed by Chi-square test and Student's t-test, and prognoses were calculated using KaplanMeier method and a Cox proportionate hazards model. Bonferroni correction was used to correct for multiple comparison.Results: Conventional type of TNBC(c TNBC) were identified in 73.7% of 582 TNBC, while special type of TNBC(s TNBC) were 26.3%, including 71 apocrine carcinoma, 20 medullary carcinoma, 31 metaplastic carcinoma, 18 invasive lobular carcinoma, 7 invasive micropapillary carcinoma, 5 adenoid cystic carcinoma and 1 acinic cell carcinoma. Compared to s TNBC, c TNBC was associated with high histologic grade(P<0.001) and lower androgen receptor(AR) expression(P<0.001). TNM stage of low-grade c TNBC was significantly lower than that of high-grade c TNBC(P=0.002). Although no significant difference, there was a trend that the rate of 5-year disease-free survival(DFS) and 5-year overall survival(OS) were longer in high-grade c TNBC than in high-grade s TNBC(P=0.091 and 0.518), and were longer in low-grade s TNBC than in high-grade s TNBC(P=0.051 and0.350). Metaplastic carcinomas showed larger tumor size(P=0.008) and higher proliferative Ki67 index(P=0.004)than c TNBCs.Conclusions: Results from our cohort imply that sub-categorization or subtyping and histological grading could be meaningful in pathological evaluation of TNBC, and need to be clarified in more large collections of TNBC.