目的:探讨超声引导穿刺活检与核磁共振成像(Magnetic Resonance Imaging,MRI)在诊断乳腺影像报告和数据系统4类乳腺肿块(Breast Imaging Report And Data System 4,BI-RADS 4)中的诊断效能,为BI-RADS 4类乳腺肿块的诊疗提供临床依据。方...目的:探讨超声引导穿刺活检与核磁共振成像(Magnetic Resonance Imaging,MRI)在诊断乳腺影像报告和数据系统4类乳腺肿块(Breast Imaging Report And Data System 4,BI-RADS 4)中的诊断效能,为BI-RADS 4类乳腺肿块的诊疗提供临床依据。方法:选取2021年2月至2023年2月安阳市肿瘤医院收治的90例疑似BI-RADS 4类乳腺肿块患者作为研究对象,以超声引导穿刺活检组织最终石蜡病理诊断为金标准,明确肿块病理结果,对比MRI检查结果在BI-RADS 4类乳腺肿块中其亚型病理和诊断效能。结果:所有乳腺肿块经石蜡病理证实,34例良性肿瘤中67.65%为纤维腺瘤,56例恶性肿瘤中80.36%为浸润性导管癌;在MRI检查中,BI-RADS 4a类乳腺肿块病灶中83.33%为良性肿块;BI-RADS 4c类乳腺肿块病灶中92.00%为恶性肿块;超声引导穿刺活检阳性检出共55例,阳性检出率为61.11%;MRI检查阳性检出共53例,阳性检出率为58.89%,两种检查方式阳性检出率比较,差异无统计学意义(P>0.05);经MRI检查后,其准确度、敏感度、特异度、阴性预测值、阳性预测值与超声引导穿刺活检诊断结果比较,差异无统计学意义(P>0.05)。结论:在疑似BI-RADS 4类乳腺肿块中,BI-RADS 4a、BI-RADS 4c肿块病灶性质分别以纤维腺瘤、浸润性导管癌为主,且MRI检查结果与超声引导穿刺活检均具有较高的诊断效能。因此对于MRI检查BI-RADS 4a肿块患者可选择定期复查并观察肿块变化,而对BI-RADS 4c肿块患者强烈建议尽早穿刺活检以明确肿块病理性质。展开更多
Breast Imaging Reporting and Data System,also known as BI-RADS is a universal system used by radiologists and doctors.It constructs a comprehensive language for the diagnosis of breast cancer.BI-RADS 4 category has a ...Breast Imaging Reporting and Data System,also known as BI-RADS is a universal system used by radiologists and doctors.It constructs a comprehensive language for the diagnosis of breast cancer.BI-RADS 4 category has a wide range of cancer risk since it is divided into 3 categories.Mathematicalmodels play an important role in the diagnosis and treatment of cancer.In this study,data of 42 BI-RADS 4 patients taken fromthe Center for Breast Health,Near East University Hospital is utilized.Regarding the analysis,a mathematical model is constructed by dividing the population into 4 compartments.Sensitivity analysis is applied to the parameters with the desired outcome of a reduced range of cancer risk.Numerical simulations of the parameters are demonstrated.The results of the model have revealed that an increase in the lactation rate and earlymenopause have a negative correlation with the chance of being diagnosed with BI-RADS 4 whereas a positive correlation increase in age,the palpable mass,and family history is distinctive.Furthermore,the negative effects of smoking and late menopause on BI-RADS 4C diagnosis are vehemently outlined.Consequently,the model showed that the percentages of parameters play an important role in the diagnosis of BI-RADS 4 subcategories.All things considered,with the assistance of the most effective parameters,the range of cancer risks in BI-RADS 4 subcategories will decrease.展开更多
文摘Breast Imaging Reporting and Data System,also known as BI-RADS is a universal system used by radiologists and doctors.It constructs a comprehensive language for the diagnosis of breast cancer.BI-RADS 4 category has a wide range of cancer risk since it is divided into 3 categories.Mathematicalmodels play an important role in the diagnosis and treatment of cancer.In this study,data of 42 BI-RADS 4 patients taken fromthe Center for Breast Health,Near East University Hospital is utilized.Regarding the analysis,a mathematical model is constructed by dividing the population into 4 compartments.Sensitivity analysis is applied to the parameters with the desired outcome of a reduced range of cancer risk.Numerical simulations of the parameters are demonstrated.The results of the model have revealed that an increase in the lactation rate and earlymenopause have a negative correlation with the chance of being diagnosed with BI-RADS 4 whereas a positive correlation increase in age,the palpable mass,and family history is distinctive.Furthermore,the negative effects of smoking and late menopause on BI-RADS 4C diagnosis are vehemently outlined.Consequently,the model showed that the percentages of parameters play an important role in the diagnosis of BI-RADS 4 subcategories.All things considered,with the assistance of the most effective parameters,the range of cancer risks in BI-RADS 4 subcategories will decrease.