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作 者:孙维利 马丽[1] 杜睿[2] SUN Wei-li;MA Li;DU Rui(Taizhou Hospital of Traditional Chinese Medicine,Taizhou Jiangsu 225300;Affiliated Hospital of Jiangsu University,Zhenjiang Jiangsu 212001,China)
机构地区:[1]泰州市中医院,江苏泰州225300 [2]江苏大学附属医院,江苏镇江212001
出 处:《泰州职业技术学院学报》2025年第2期69-72,共4页Journal of Taizhou Polytechnic College
基 金:江苏省妇幼健康科研项目(F201822,项目主持人:杜睿)。
摘 要:目的本研究旨在探索乳腺恶性肿块的早期钼靶指征,为乳腺恶性肿瘤的早期诊断提供参考和依据。方法回顾性收集2018年6月~2023年11月期间在泰州市中医院进行钼靶检查的110例乳腺肿块患者的图像资料,包括病侧乳腺的头尾位和内外斜位图像。将所有受试者的钼靶图像根据病理结果分为良性(n=34例)、恶性非浸润(n=39例)、恶性浸润(n=37例)三组。组间及组内比较采用单因素方差分析或卡方检验。采用受试者操作特征曲线(ROC)分析单个特征在组间的鉴别效能。结果良性、恶性非浸润、恶性浸润三组的直接征象无显著性差异(P>0.05)。三组受试者的乳腺病灶旁区域性脂肪密度增高征象差异有统计学意义(F=18.876,P<0.001);而恶性非浸润组和恶性浸润组之间则无显著性差异(P>0.05);ROC曲线显示该特征鉴别良性组和恶性非浸润组、良性组和恶性浸润组的曲线下面积(AUC)分别为0.855和0.811。三组乳腺病灶旁均可见索条状密度影,该特征存在显著的组间差异(F=7.795,P<0.001),其鉴别良性与恶性和恶性非浸润与恶性浸润的AUC分别为0.826和0.805。结论乳腺病灶旁区域性脂肪密度增高影、索条状密度增高影与乳腺恶性肿块密切相关,并可对病灶的不同评估分类作出有效鉴别。Objective This study aims to explore the early mammography indications for breast malignant masses,providing references and basis for the early diagnosis of breast malignancies.Methods The image data of 110 patients with breast mass who underwent mammography examination in Taizhou Hospital of Traditional Chinese Medicine from June 2018 to November 2023 were retrospectively collected.Molybdenum images of all subjects were categorized into three groups:benign(n=34),malignant non-invasive(n=39),and malignant invasive(n=37)based on pathological findings.Between-group and within-group comparisons were performed using oneway ANOVA or chi-square tests.The discriminatory efficacy of individual features was analyzed using the receiver operating characteristic(ROC)curve.Results No significant difference was found in direct signs among the three groups(P>0.05).There were statistically significant differences in the increased regional fat density around the breast lesions among the three groups(F=18.876,P<0.001);however,no significant difference was found between the malignant non-invasive and malignant invasive groups(P>0.05).The ROC curve indicated that this feature had areas under the curve(AUC)of 0.855 and 0.811 for distinguishing between the benign and malignant non-invasive groups,and between the benign and malignant invasive groups,respectively.All three groups exhibited linear density shadows around the breast lesions,showing significant between-group differences(F=7.795,P<0.001),and the AUC for distinguishing between benign and malignant,and between malignant non-invasive and malignant invasive groups were 0.826 and 0.805,respectively.Conclusion Increased regional fat density around breast lesions and linear density shadows are closely associated with breast malignant masses,which might effectively distinguish different evaluation and classification of lesions.
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