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首页|期刊导航|广西医科大学学报|MRI征象联合炎症指标对肿块型早期浸润性乳腺癌淋巴血管侵犯预测价值

MRI征象联合炎症指标对肿块型早期浸润性乳腺癌淋巴血管侵犯预测价值OACSTPCD

Value of MRI signs combined with inflammatory indexes in predicting lymphovascular inva-sion in lumpy early invasive breast cancer

中文摘要英文摘要

目的:探讨术前磁共振成像(MRI)征象联合炎症指标对肿块型早期浸润性乳腺癌淋巴血管侵犯(LVI)的预测价值.方法:收集2018~2020年广西医科大学附属肿瘤医院收治的89例术前行磁共振增强检查的肿块型早期浸润性乳腺癌女性患者.根据术后病理检查结果将患者分为LVI(+)组与LVI(-)组,单因素分析评估两组患者术前MRI征象、炎症指标及病理学特征与LVI的关系,采用多因素logistic回归筛选危险因素并建立MRI征象模型和MRI征象联合炎症指标模型.采用受试者工作特征(ROC)曲线下面积(AUC)评价模型的预测效能.AUC的差异比较采用Z检验.结果:LVI(+)组和LVI(-)组间术前外周血中性粒细胞与淋巴细胞比值(NLR)、T分期、毛刺征、时间信号曲线(TIC)类型、瘤周水肿及表观扩散系数(ADC)值差异具有统计学意义(均P<0.05).多因素logistic回归分析显示Ⅲ型TIC、毛刺征及瘤周水肿是LVI的独立危险因素(OR值分别为18.765、7.965、4.018,均P<0.05).MRI征象模型(TIC类型+瘤周水肿+毛刺征)和MRI征象联合炎症指标模型(TIC类型+瘤周水肿+毛刺征+NLR)的AUC分别为0.866、0.879.Z检验显示两个模型之间AUC比较,差异无统计学意义(Z=-0.248,P=0.804).结论:MRI征象联合炎症指标模型(TIC类型+瘤周水肿+毛刺征+NLR)有助于预测肿块型早期浸润性乳腺癌患者的LVI情况.

Objective:To explore the value of preoperative magnetic resonance imaging(MRI)signs combined with inflammatory indexes in predicting lymphovascular invasion(LVI)in lumpy early invasive breast cancer.Methods:A total of 89 female patients with lumpy early invasive breast cancer who underwent preoperative mag-netic resonance enhancement examination at the Guangxi Medical University Cancer Hospital from 2018 to 2020 were collected.The patients were divided into LVI(+)and LVI(-)groups according to the postoperative patholog-ical findings.The relationship between preoperative MRI signs,inflammatory indexes and pathological features with LVI in the two groups was evaluated by univariate analysis.Multivariate logistic regression was used to screen for risk factors,and the model of MRI signs and the model of MRI signs combined with inflammatory in-dexes were established.The diagnostic efficacy of the model was assessed using the area under the curve(AUC)of the receiver operating characteristic(ROC).The z-test was used to compare the differences in AUC.Results:The differences in preoperative peripheral blood neutrophil to lymphocyte ratio(NLR),T-stage,spicule sign,type of time intensity curve(TIC),peritumoural oedema and apparent diffusion coefficient(ADC)values were statisti-cally significant between the LVI(+)and LVI(-)groups(all P<0.05).Multivariate logistic regression analysis showed that type Ⅲ TIC,spicule sign and peritumoural oedema were independent risk factors for LVI(OR= 18.765,7.965 and 4.018,respectively;all P<0.05).The AUC of the MRI signs model(TIC type+peritumoural oedema+spicule sign)and the MRI signs combined with inflammatory indexes model(TIC type+peritumoural oe-dema+spicule sign+NLR)were 0.866 and 0.879,respectively.The Z-test showed that there was no statistically significant difference in the AUC between the two models(Z =-0.248,P=0.804).Conclusion:MRI signs com-bined with inflammatory indexes model(TIC type+peritumoural oedema+spicule sign+NLR)can help predict LVI in patients with lumpy early invasive breast cancer.

韦姗姗;罗显廷;朱旭娜;黄雷;刘宇;苏丹柯;刘丽东

广西医科大学附属肿瘤医院影像中心 广西临床重点专科[医学影像科]||广西医科大学附属肿瘤医院优势培育学科[医学影像科]||广西医科大学广西组织器官修复医用生物材料工程研究中心,南宁 530021广西医科大学附属肿瘤医院影像中心 广西临床重点专科[医学影像科]||广西医科大学附属肿瘤医院优势培育学科[医学影像科]

临床医学

乳腺癌磁共振成像中性粒细胞与淋巴细胞比值淋巴血管侵犯

breast cancermagnetic resonance imagingneutrophil to lymphocyte ratiolymphovascular invasion

《广西医科大学学报》 2024 (003)

基于仿生催化技术再塑肿瘤微环境逆转乳腺癌乏氧的策略研究

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国家自然科学基金资助项目(No.81971591);广西科技计划资助项目(No.桂AD20238096);广西重点研发计划项目资助(No.桂科AB18126041)

10.16190/j.cnki.45-1211/r.2024.03.016

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