PDF(Pubmed)
Abstract：
UNASSIGNED: Phyllodes tumor is a rare fibroepithelial neoplasm of the breast, which is classified histologically as benign, borderline, or malignant. Accurate preoperative diagnosis allows the correct surgical planning and reoperation avoidance.
UNASSIGNED: To describe the clinical presentation and radiologic features of phyllodes tumors and differentiate between benign and non-benign (borderline and malignant) groups.
UNASSIGNED: A retrospective study of 57 patients with a diagnosis of phyllodes tumor who had preoperative imaging (mammography, ultrasound, or CT chest) and histological confirmation. The data was collected from 1 June 2011 to 30 September 2021. The imaging features of the phyllodes tumors were described according to the 5th edition of the ACR BI-RADS lexicon. For comparing between two groups, the student t-test, Wilcoxon rank sum test, Chi-square test, and Fisher\'s exact test were used for statistical analyses. The logistic regression analysis was calculated for non-benign phyllodes tumor prediction.
UNASSIGNED: From 57 patients, the pathologic results were benign for 43 cases and non-benign phyllodes tumors for 14 cases. There was no differentiation of mammographic and CT features between benign and non-benign groups. Non-benign phyllodes tumors had the statistical significance of menopausal status, entire breast involvement, tumor size larger than 10 cm, and heterogeneous echo on univariable analysis. After multivariable analysis, menopausal status (odd ratios=13.79, p=0.04) and presence of vessels in the rim (odd ratios=16.51, p=0.019) or absent vascularity (odd ratios=8.45, p=0.047) on doppler ultrasound were significantly increased possibility of non-benign phyllodes tumor.
UNASSIGNED: Menopausal status and presence of vessels in the rim or absent vascularity on Doppler ultrasound were important predictors for the diagnosis of non-benign phyllodes tumor.
UNASSIGNED: To describe the clinical presentation and radiologic features of phyllodes tumors and differentiate between benign and non-benign (borderline and malignant) groups.
UNASSIGNED: A retrospective study of 57 patients with a diagnosis of phyllodes tumor who had preoperative imaging (mammography, ultrasound, or CT chest) and histological confirmation. The data was collected from 1 June 2011 to 30 September 2021. The imaging features of the phyllodes tumors were described according to the 5th edition of the ACR BI-RADS lexicon. For comparing between two groups, the student t-test, Wilcoxon rank sum test, Chi-square test, and Fisher\'s exact test were used for statistical analyses. The logistic regression analysis was calculated for non-benign phyllodes tumor prediction.
UNASSIGNED: From 57 patients, the pathologic results were benign for 43 cases and non-benign phyllodes tumors for 14 cases. There was no differentiation of mammographic and CT features between benign and non-benign groups. Non-benign phyllodes tumors had the statistical significance of menopausal status, entire breast involvement, tumor size larger than 10 cm, and heterogeneous echo on univariable analysis. After multivariable analysis, menopausal status (odd ratios=13.79, p=0.04) and presence of vessels in the rim (odd ratios=16.51, p=0.019) or absent vascularity (odd ratios=8.45, p=0.047) on doppler ultrasound were significantly increased possibility of non-benign phyllodes tumor.
UNASSIGNED: Menopausal status and presence of vessels in the rim or absent vascularity on Doppler ultrasound were important predictors for the diagnosis of non-benign phyllodes tumor.
摘要：
■叶状肿瘤是一种罕见的乳腺纤维上皮肿瘤，组织学分类为良性，边界线，或恶性。准确的术前诊断允许正确的手术计划和避免再次手术。
■描述叶状肿瘤的临床表现和影像学特征，并区分良性和非良性（交界性和恶性）组。
■一项回顾性研究，对57例诊断为叶状肿瘤的患者进行了术前影像学检查（乳房X线摄影，超声，或CT胸部）和组织学确认。数据收集时间为2011年6月1日至2021年9月30日。根据ACRBI-RADS词典的第5版描述了叶状肿瘤的影像学特征。为了比较两组之间的差异，学生t检验，Wilcoxon秩和检验,卡方检验,和Fisher精确检验用于统计分析。采用logistic回归分析预测非良性叶状肿瘤。
■来自57名患者，病理结果良性43例，非良性叶状肿瘤14例。良性和非良性组之间的乳房X线照相和CT特征没有区别。非良性叶状肿瘤的绝经状态具有统计学意义，整个乳房受累，肿瘤大小大于10厘米，单变量分析和异质回波。经过多变量分析，绝经后状态(奇数比值=13.79,p=0.04)和多普勒超声检查发现边缘有血管(奇数比值=16.51,p=0.019)或无血管(奇数比值=8.45,p=0.047)均显著增加非良性叶状肿瘤的可能性.
■绝经期状态、边缘血管存在或多普勒超声检查血管缺失是非良性叶状肿瘤诊断的重要预测因子。
■描述叶状肿瘤的临床表现和影像学特征，并区分良性和非良性（交界性和恶性）组。
■一项回顾性研究，对57例诊断为叶状肿瘤的患者进行了术前影像学检查（乳房X线摄影，超声，或CT胸部）和组织学确认。数据收集时间为2011年6月1日至2021年9月30日。根据ACRBI-RADS词典的第5版描述了叶状肿瘤的影像学特征。为了比较两组之间的差异，学生t检验，Wilcoxon秩和检验,卡方检验,和Fisher精确检验用于统计分析。采用logistic回归分析预测非良性叶状肿瘤。
■来自57名患者，病理结果良性43例，非良性叶状肿瘤14例。良性和非良性组之间的乳房X线照相和CT特征没有区别。非良性叶状肿瘤的绝经状态具有统计学意义，整个乳房受累，肿瘤大小大于10厘米，单变量分析和异质回波。经过多变量分析，绝经后状态(奇数比值=13.79,p=0.04)和多普勒超声检查发现边缘有血管(奇数比值=16.51,p=0.019)或无血管(奇数比值=8.45,p=0.047)均显著增加非良性叶状肿瘤的可能性.
■绝经期状态、边缘血管存在或多普勒超声检查血管缺失是非良性叶状肿瘤诊断的重要预测因子。
