[1] 李蔓英, 李彬, 罗佳, 等. 基于灰阶超声的影像组学模型预测乳腺癌新辅助化疗效果[J]. 中国医学影像技术, 2019,35(9):1331-1335. [2] Jia K, Li L, Wu X J, et al. Contrast-enhanced ultrasound for evaluating the pathologic response of breast cancer to neoadjuvant chemotherapy:A meta-analysis[J]. Medicine, 2019,98(4):e14258. [3] Peppe A, Wilson R, Pope R, et al. The use of ultrasound in the clinical re-staging of the axilla after neoadjuvant chemotherapy (NACT)[J]. The Breast, 2017,35:104-108. [4] You C, Peng W, Zhi W X, et al. Association between background parenchymal enhancement and pathologic complete remission throughout the neoadjuvant chemotherapy in breast cancer patients[J]. Translational Oncology, 2017,10(5):786-792. [5] 蔡丽珊, 张建兴, 宋光辉, 等. 超声造影在乳腺癌早期诊断中的临床应用[J]. 南方医科大学学报, 2013,33(12):1801-1805. [6] Mark K M K, Varn F S, Ung M H, et al. The E2F4 prognostic signature predicts pathological response to neoadjuvant chemotherapy in breast cancer patients[J].BMC Cancer, 2017,17(1):306. [7] Haque W, Verma V, Hatch S, et al. Response rates and pathologic complete response by breast cancer molecular subtype following neoadjuvant chemotherapy[J].Breast Cancer Research and Reatment, 2018,170(3):559-567. [8] Nam K, Eisenbrey J R, Stanczak M, et al. Monitoring neoadjuvant chemotherapy for breast cancer by using three-dimensional subharmonic aided pressure estimation and imaging with us contrast agents:Preliminary experience[J].Radiology, 2017,285(1):53-62. [9] Akimoto E, Kadoya T, Kajitani K, et al. Role of 18F-PET/CT in predicting prognosis of patients with breast cancer after neoadjuvant chemotherapy[J]. Clinical Breast Cancer, 2018,18(1):45-52. [10] 沈嫱, 宋光辉, 沈建红, 等. 超声造影与乳腺癌肿瘤微血管密度测定的相关性[J]. 中国医学影像技术, 2009,25(3):441-444. [11] 林韵, 王小燕, 韦海明, 等. 乳腺癌超声造影定量分析参数及增强模式与分子分型的关系[J]. 中国医学影像技术, 2014,30(3):406-410. [12] 万财凤, 王琳, 刘雪松, 等. 超声造影评估乳腺癌新辅助化疗疗效的临床价值[J]. 临床超声医学杂志, 2017,19(10):652-655. [13] 潘音桦, 黄瑜, 李杰华. 乳腺癌的超声与增强MRI应用ROC曲线对比研究[J]. 中国医学创新, 2017,14(11):37-40. [14] Li L, Roth R, Germaine P, et al. Contrast-enhanced spectral mammography (CESM) versus breast magnetic resonance imaging (MRI):A retrospective comparison in 66 breast lesions[J]. Diagnostic & Interventional Imaging, 2017,98(2):113-123. [15] Xue L B, Liu Y H, Zhang B, et al. Prognostic role of high neutrophil-to-lymphocyte ratio in breast cancer patients receiving neoadjuvant chemotherapy:Meta-analysis[J]. Medicine, 2019,98(1):e13842. [16] Pérez R R, Aguirre A C R, Miguel P G T S, et al. Review of the role of the sentinel node biopsy in neoadjuvant chemotherapy in women with breast cancer and negative or positive axillary node at diagnosis[J]. Revista Espanola De Medicina Nuclear E Imagen Molecular, 2018,37(1):63-70. [17] Weber J J, Jochelson M S, Eaton A, et al. MRI and prediction of pathologic complete response in the breast and axilla after neoadjuvant chemotherapy for breast cancer[J]. Journal of the American College of Surgeons, 2017,225(6):740-746. [18] Cochran J M, Busch D R, Leproux A, et al. Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment[J]. Journal of Biomedical Optics, 2018,24(2):1-11. [19] McAndrew N, DeMichele A. Neoadjuvant chemotherapy considerations in triple-negative breast cancer[J]. Journal of Targeted Therapies in Cancer, 2018,7(1):52-69. [20] Sakata E, Endo Y, Miyahira A, et al. Brain metastasis of triple negative breast cancer after pathological complete response to neoadjuvant chemotherapy-A case report[J]. Gan to Kagaku Ryoho Cancer & Chemotherapy, 2018,45(1):184-186. |