|
|
Value of MRI examination in diagnosis of breast cancer and risk factors of breast cancer |
Bai Yanjun1, Li Tiefeng1, Hu Yanbiao1, Liang Wenjie2 |
1 Department of Radiology, People′s Hospital of Beilun District, Ningbo 315800, China
2 Department of Radiology, the First Affiliated Hospital, Zhejiang University |
|
|
Abstract Objective To explore the value of magnetic resonance imaging (MRI) in diagnosis of breast cancer, and analyze the risk factors of breast cancer. Methods Two hundred patients with breast cancer admitted in our hospital were selected as the patient group, and 125 cases of healthy women at the same period checked in our hospital were randomly selected as the healthy group. The positive rate of MRI for different types of breast cancer were determined. Single factor analysis and logistic analysis were used to analyze 10 factors (educational level, occupation, family history of breast cancer, regularity of menstruation, childbearing history, abortion times, breastfeeding time, negative life event, smoking/passive smoking and history of alcohol intake) relations with the breast cancer incidence, in order to identify risk factors. Results The positive rates of MRI for Luminal A, Luminal B, Her2+ and triple negative breast cancer were 96.00%, 98.68%, 100% and 100%. On the whole, the positive rate of MRI was 98.50%. The multivariate analysis results showed that smoking/passive smoking (OR=2.442), abortion times (OR= 2.195), family history of breast cancer (OR=1.923), and the negative life events (OR= 1.817) were the risk factors of breast cancer incidence (P<0.05), while breast feeding (OR=0.585) was the protective factor (P<0.05). Conclusion MRI has a high accurate rate for the diagnosis of breast cancer. Risk factors of breast cancer showed that anti-abortion, breast feeding, refusing passive smoking, and timely screening of genes for women with family history of breast cancer could efficiently reduce the incidence of breast cancer.
|
Received: 15 August 2017
|
|
|
|
[1] DESANTIS CE, LIN CC, MARIOTTO AB, et al. Cancer treatment and survivorship statistics, 2014[J]. CA Cancer J Clin, 2014,64(4):25-271.
[2] 程俊文,景金花.2008—2011年恶性肿瘤住院患者构成分析[J].中国医院统计,2012,19(6):477-478.
[3] 林碎芳,裴蕾.化疗期乳腺癌患者实施自我管理干预对自我护理能力和生存质量的影响[J].中国医院统计,2016,23(6):418-420, 423.
[4] 宋卫亚,牟伟益,李涵,等.青岛市2010年恶性肿瘤住院情况及年龄分布的调查[J].中国医院统计,2011,18(2):189-191.
[5] 韩晓蓉,连臻强,杨剑敏,等.超声、X线及MRI对不同分子亚型乳腺癌的诊断价值[J].中国妇幼保健,2014,29(3):457-460.
[6] GUO Y, HAN W. Cytokine-induced killer (CIK) cells: from basic research to clinical translation[J]. Chin J Cancer, 2015,34(3):99-107.
[7] 谢小红,顾锡冬,赵虹,等.973例乳腺癌患病相关危险因素分析[J].中华全科医学,2014,12 (6):960-962.
[8] 王菊,刘佩芳,李军楠,等.乳腺X线和超声检查对T1及Tis期乳腺癌诊断效能的比较[J].中华医学杂志,2015,95(1):34-36.
[9] 张玉铃,陈春发.某肿瘤专科医院2011—2015年1830例乳腺恶性肿瘤统计分析[J].中国医院统计,2017,24(1):59-60.
[10]武中林,荣小翠,赵俊京,等.全数字化X线摄影、超声及MRI对乳腺癌诊断价值的ROC曲线分析[J].临床放射学杂志,2015,34(3):355-359.
[11]SUFIAN SN, MASROOR I, MIRZA W, et al. Evaluation of common risk factors for breast carcinoma in females: a hospital based study in Karachi, Pakistan[J]. Asian Pac J Cancer Prev, 2015,16(15):6347-6352.
[12]SISTI JS, COLLINS LC, BECK AH, et al. Reproductive risk factors in relation to molecular subtypes of breast cancer: Results from the nurses' health studies[J]. Int J Cancer, 2016,138(10):2346-2356.
[13]CHAY WY, ONG WS, TAN PH, et al. Validation of the gail model for predicting individual breast cancer risk in a prospective nationwide study of 28104 singapore women[J]. Breast Cancer Res, 2012,14(1):R19.
[14]TAO W, WANG C, HAN R, et al. Her2 codon 655 poly-morphism and breast cancer risk: a meta-analysis[J]. Breast Cancer Res Treat, 2009,114(2):371-376.
[15]GUO J, HUANG Y, YANG L, et al. Association between abortion and breast cancer: an updated systematic review and meta-analysis based on prospective studies[J]. Cancer Causes Control, 2015,26(6):811-819.
[16]GAMBINO G, TANCREDI M, FALASCHI E, et al. Characterization of three alternative transcripts of the BRCA1 gene in patients with breast cancer and a family history of breast and/or ovarian cancer who tested negative for pathogenic mutations[J]. Int J Mol Med, 2015,35(4):950-956.
[17]RIAHI A, GHOURABI M, FOURATI A, et al. Family history predictors of BRCA1/BRCA2 mutation status among tunisian breast/ovarian cancer families[J]. Breast Cancer, 2017,24(2):238-244.
[18]REBBECK TR, MITRA N, WAN F, et al. Association of type and location of BRCA1 and BRCA2 mutations with risk of breast and ovarian cancer[J]. JAMA, 2015,313(13):1347-1361.
[19]乔洪洁,丛庆华.乳腺癌与乳腺良性肿瘤患者术前心理社会因素比较[J].中国医院统计,2013,20(6):431-433.
[20]瞿蕾,唐文静,吴佳皓.乳腺癌患者发病的影响因素分析[J].中国妇幼健康研究,2017,28(5):505-509.
|
[1] |
Zhou Cailing, Dai Jin, Ye Meiling. Investigation analysis on clinical features and risk factors of brain injury of neonatal hypoglycemia[J]. journal1, 2018, 25(2): 93-95. |
[2] |
Kong Hongyan. Investigation on current situation and influencing factors of breastfeeding knowledge of pregnant women in a hospital from 2012 to 2016[J]. journal1, 2018, 25(2): 96-98. |
[3] |
. [J]. journal1, 2018, 25(2): 126-127. |
[4] |
. [J]. journal1, 2018, 25(2): 123-125. |
[5] |
. [J]. journal1, 2018, 25(2): 128-130. |
[6] |
. [J]. journal1, 2018, 25(2): 131-132. |
|
|
|
|