[1] PICKLES M D,LOWRY M,MANTON D J,et al.Prognostic value of DCE-MRI in breast cancer patients undergoing neoadjuvant chemotherapy:a comparison with traditional survival indicators[J].Eur Radiol,2015,25(4):1097.
[2] MIN J K,SU M Y,YU H J,et al.US-localized diffuse optical tomography in breast cancer:comparison with pharmacokinetic parameters of DCE-MRI and with pathologic biomarkers[J].BMC Cancer,2016,16(1):1-9.
[3] 印滇,王亚非,杨莉,等.hMAM水平与乳腺癌早期诊断和癌微转移的相关性及临床意义研究[J].临床和实验医学杂志,2015(18):1512-1515.
[4] KIM T H,KANG D K.Is there any correlation between model-based and model-free parameters on DCE-MRI in breast cancer patients?[J].Apmis,2015,123(9):759-764.
[5] 张彦收,唐甜甜,周涛,等.Ki-67表达水平检测在乳腺癌新辅助化疗疗效评估中的价值[J].现代肿瘤医学,2017,25(14):2256-2259.
[6] YI A Y,HUN K S,KANG B J,et al.Treatment response evaluation of breast cancer after neoadjuvant chemotherapy and usefulness of the imaging parameters of MRI and PET/CT[J].J Korean Med Sci,2015,30(6):808-815.
[7] KING A D,CHOW S K K,YU K H,et al.DCE-MRI for pre-treatment prediction and post-treatment assessment of treatment response in sites of squamous cell carcinoma in the head and neck[J].PLoS One,2015,10(12):e0144770.
[8] 张书勤,马薇.富含半胱氨酸的分泌性酸性蛋白在乳腺癌组织中的表达及其临床意义[J].中国妇幼保健,2016,31(23):5157-5159.
[9] ALINA T,OH K Y,Y C C S,et al.Early prediction and evaluation of breast cancer response to neoadjuvant chemotherapy using quantitative DCE-MRI[J].Transl Oncol,2016,9(1):8.
[10] 王晓刚,陈振文,郗彦凤,等.人表皮生长因子受体2蛋白过表达及基因异常在非小细胞肺癌中的临床意义[J].肿瘤研究与临床,2016,28(1):21-27.
[11] FAN M,LI H,WANG S,et al.Radiomic analysis reveals DCE-MRI features for prediction of molecular subtypes of breast cancer[J].PLoS One,2017,12(2):e0171683.
[12] DRISIS S,METENS T,IGNATIADIS M,et al.Quantitative DCE-MRI for prediction of pathological complete response following neoadjuvant treatment for locally advanced breast cancer:the impact of breast cancer subtypes on the diagnostic accuracy[J].Eur Radiol,2015,26(5):1474-1484.
[13] 谢玲,陈劼,孙怡,等.中国结直肠癌、肺癌和胃癌患者KRAS基因突变情况分析[J].临床与实验病理学杂志,2016,32(2):210-213.
[14] 卫文俊,陶霖玉,齐柯,等.钼靶下导丝定位活检在诊断触诊阴性乳腺病灶中的应用[J].东南大学学报(医学版),2013,32(5):559-562.
[15] KIM T H,YOON J K,KANG D K,et al.Correlation between F-18 fluorodeoxyglucose positron emission tomography metabolic parameters and dynamic contrast-enhanced MRI-derived perfusion data in patients with invasive ductal breast carcinoma[J].Ann Surg Oncol,2015,22(12):3866-3872. |