[1]程 飞,祁俊峰,刘海阳.Gail乳腺癌风险评估模型在临床上的应用价值[J].国外医学医学地理杂志,2019,(02):137-139143.[doi:10.3969/j.issn.1001-8883.2019.02.011]
 CHENG Fei,QI Junfeng,LIU Haiyang.Clinical application value of Gail breast cancer risk assessment model[J].Foreign Medical Sciences (Section of Medgeography),2019,(02):137-139143.[doi:10.3969/j.issn.1001-8883.2019.02.011]
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Gail乳腺癌风险评估模型在临床上的应用价值()
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国外医学医学地理杂志[ISSN:1001-8883/CN:61-1102/R]

卷:
期数:
2019年02期
页码:
137-139143
栏目:
预防医学
出版日期:
2019-07-02

文章信息/Info

Title:
Clinical application value of Gail breast cancer risk assessment model
作者:
程 飞1祁俊峰2刘海阳1
(甘肃省武威市人民医院:1.肿瘤外科; 2.超声科,甘肃武威 733000)
Author(s):
CHENG Fei1QI Junfeng2LIU Haiyang1
(1.Department of Oncology; 2.Department of Ultrasound,Wuwei People’s Hospital of Gansu Province,Wuwei 733000,China)
关键词:
乳腺癌 Gail风险评估模型 乳腺密度 武威市 疗效
Keywords:
breast cancer Gail risk assessment model breast density Wuwei City efficacy
分类号:
R737
DOI:
10.3969/j.issn.1001-8883.2019.02.011
文献标志码:
A
摘要:
目的 探讨Gail乳腺癌风险评估模型在临床上的应用价值。方法 选取经病理确诊为武威市乳腺癌患者98例作为乳腺癌组,同期抽取病理诊断为非乳腺癌人群98例作为对照组,所有患者都给予乳腺密度检查与建立Gail值模型,判断诊断效果。结果 观察组的乳腺密度为(91.75±1.47)%,显著高于对照组的(38.26±6.12)%(P<0.05)。观察组中乳腺密度诊断乳腺癌57例,占比58.16%; 对照组诊断乳腺癌12例,占比12.24%。观察组中Gail模型诊断乳腺癌高风险65例,占比66.33%; 对照组诊断乳腺癌高风险3例,占比3.06%。乳腺密度+Gail模型联合诊断乳腺癌95例,占比96.94%; 对照组无诊断乳腺癌,占比0.0%。在196例患者中,乳腺密度诊断符合率为67.86%,Gail模型诊断符合率为78.57%,乳腺密度+Gail模型联合诊断符合率为98.47%,对比差异有统计学意义(P<0.05)。其中Gail模型诊断乳腺癌的灵敏度为64.29%、特异度为98.96%、约登指数为0.882。结论 Gail乳腺癌风险评估模型在武威市腺癌发病高风险人群的预测价值较高,可为乳腺癌的二级预防探索了一种有效的新方法。
Abstract:
Objective To explore the clinical application values of the Gail breast cancer risk assessment model.Methods A total of 98 patients with breast cancer diagnosed by pathology were selected as the breast cancer group,and 98 patients with non-breast cancer were selected as the control group.All patients were given breast density examination and Gail value model to determine the diagnostic effect.Results The mammary gland density of the observation group was(91.75±1.47)%,which was significantly higher than that of the control group(38.26±6.12)%(P<0.05).In the observation group,57 cases of breast cancer were diagnosed by breast density,accounting for 58.16%; 12 cases of breast cancer were diagnosed in the control group,accounting for 12.24%.In the observation group,Gail model diagnosed 65 cases of breast cancer with high wind,accounting for 66.33%; the control group diagnosed high risk of breast cancer in 3 cases,accounting for 3.06%.The breast density + Gail model combined diagnosis of breast cancer in 95 cases,accounting for 96.94%; the control group did not diagnose breast cancer,accounting for 0.0%.Among the 196 patients,the coincidence rate of breast density was 67.86%,the coincidence rate of Gail model was 78.57%,and the coincidence rate of breast density+Gail model was 98.47%.The difference was statistically significant(P<0.05).The sensitivity of the Gail model for the diagnosis of breast cancer was 64.29%,the specificity was 98.96%,and the Yoden index was 0.882.Conclusion The Gail breast cancer risk assessment model has a high predictive value in high-risk populations of adenocarcinoma in Wuwei City,and it can explore an effective new method for secondary prevention of breast cancer.

参考文献/References:


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备注/Memo

备注/Memo:
收稿日期:2018-12-08 修回日期:2019-02-13
作者简介:程飞(1980-),男(汉族),大学本科,主治医师.研究方向:肿瘤外科.
更新日期/Last Update: 2019-07-02