[1]
|
Sung, H., et al. (2021) Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA: A Cancer Journal for Clinicians, 71, 209-249. https://doi.org/10.3322/caac.21660
|
[2]
|
林志琴, 曾澄, 等. 乳腺癌新辅助化疗及预后的相关研究[J]. 赣南医学院学报, 2022, 42(3): 265-269.
|
[3]
|
Therasse, P., et al. (2000) New Guidelines to Evaluate the Response to Treatment in Solid Tumors. Journal of the National Cancer Institute, 92, 205-216. https://doi.org/10.1093/jnci/92.18.1534
|
[4]
|
Litière, S., et al. (2017) RECIST—Learning from the Past to Build the Future. Nature Reviews. Clinical Oncology, 14, 187-192. https://doi.org/10.1038/nrclinonc.2016.195
|
[5]
|
Thomassin-Naggara, I., et al. (2014) Standardized Diagnosis and Reporting of Breast Cancer. Diagnostic and Interventional Imaging, 95, 759-766. https://doi.org/10.1016/j.diii.2014.06.006
|
[6]
|
Fowler, A.M., et al. (2017) Imaging Neoadjuvant Therapy Response in Breast Cancer. Radiology, 285, 358-375.
https://doi.org/10.1148/radiol.2017170180
|
[7]
|
Kim, Y.-S., et al. (2016) Residual Mammographic Microcalcifica-tions and Enhancing Lesions on MRI after Neoadjuvant Systemic Chemotherapy for Locally Advanced Breast Cancer: Correlation with Histopathologic Residual Tumor Size. Annals of Surgical Oncology, 23, 1135-1142. https://doi.org/10.1245/s10434-015-4993-2
|
[8]
|
Kratkiewicz, K., et al. (2022) Ultrasound and Photoacoustic Im-aging of Breast Cancer: Clinical Systems, Challenges, and Future Outlook. Journal of Clinical Medicine, 11, 1165. https://doi.org/10.3390/jcm11051165
|
[9]
|
Evans, A., et al. (2018) Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy for Primary Breast Cancer Comparing Interim Ultrasound, Shear Wave Elastography and MRI. Ultraschall in der Medizin, 39, 422-431.
https://doi.org/10.1055/a-0797-4532
|
[10]
|
Pujji, O., et al. (2020) How Accurate Is Ultrasound Scan in Predicting the Size of Residual Breast Cancer Following Neoadjuvant Chemotherapy? European Journal of Surgical Oncology, 46, E58.
https://doi.org/10.1016/j.ejso.2019.11.121
|
[11]
|
Wang, J., et al. (2021) A Narrative Review of Ultrasound Tech-nologies for the Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer. Cancer Management and Re-search, 13, 7885-7895.
https://doi.org/10.2147/CMAR.S331665
|
[12]
|
Han, X., et al. (2021) Application of Conventional Ultrasonography Combined with Contrast-Enhanced Ultrasonography in the Axillary Lymph Nodes and Evaluation of the Efficacy of Ne-oadjuvant Chemotherapy in Breast Cancer Patients. The British Journal of Radiology, 94, Article ID: 20210520. https://doi.org/10.1259/bjr.20210520
|
[13]
|
Mattingly, A.E., et al. (2016) Magnetic Resonance Imaging for Axillary Breast Cancer Metastasis in the Neoadjuvant Setting: A Prospective Study. Clinical Breast Cancer, 17, 180-187. https://doi.org/10.1016/j.clbc.2016.11.004
|
[14]
|
Radhika, R., et al. (2004) Change in Tumor Cellularity of Breast Carcinoma after Neoadjuvant Chemotherapy as a Variable in the Pathologic Assessment of Response. Cancer, 100, 1365-1373. https://doi.org/10.1002/cncr.20134
|
[15]
|
Baumgartner, A., et al. (2018) Ultrasound-Based Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer Patients. Breast (Edinburgh, Scotland), 39, 19-23. https://doi.org/10.1016/j.breast.2018.02.028
|
[16]
|
Marinovich, M.L., et al. (2015) Accuracy of Ultrasound for Pre-dicting Pathologic Response during Neoadjuvant Therapy for Breast Cancer. International Journal of Cancer, 136, 2730-2737. https://doi.org/10.1002/ijc.29323
|
[17]
|
徐民, 纪建松, 卢陈英, 陈述政, 王祖飞. 多层螺旋CT对进展期乳腺癌新辅助化疗的疗效评估[J]. 医学影像学杂志, 2012, 22(10): 1677-1680.
|
[18]
|
陈文哲, 蒋博. 双能低剂量能谱CT曲线斜率评估乳腺癌新辅助化疗疗效的价值初探[J]. 影像研究与医学应用, 2020, 4(22): 44-47.
|
[19]
|
Abedi, M., et al. (2013) The Validity of MRI in Evaluation of Tumor Response to Neoadjuvant Chemo-therapy in Locally Advanced Breast Cancer. International Journal of Cancer Management, 6, 28-35.
|
[20]
|
Choi, W.J., et al. (2019) Comparison of Pathologic Response Evaluation Systems after Neoadjuvant Chemotherapy in Breast Cancers: Correlation with Computer-Aided Diagnosis of MRI Features. AJR. American Journal of Roentgenology, 213, 944-952. https://doi.org/10.2214/AJR.18.21016
|
[21]
|
Taydaş, O., et al. (2019) Comparison of MRI and US in Tumor Size Evaluation of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy. European Journal of Breast Health, 15, 119-124. https://doi.org/10.5152/ejbh.2019.4547
|
[22]
|
Goorts, B., et al. (2018) MRI-Based Response Patterns dur-ing Neoadjuvant Chemotherapy Can Predict Pathological (Complete) Response in Patients with Breast Cancer. Breast Cancer Research: BCR, 20, Article No. 34.
https://doi.org/10.1186/s13058-018-0950-x
|
[23]
|
王艾博, 边杰. DCE-MRI原理及临床应用情况[J]. 中国临床医学影像杂志, 2016, 27(6): 435-438.
|
[24]
|
Adina, C. and Adina, C. (2017) Indications of the Magnetic Resonance Method in Breast Pathology. Chirurgia, 112, 367-377. https://doi.org/10.21614/chirurgia.112.4.367
|
[25]
|
Valdora, F., Houssami, N., Rossi, F., et al. (2018) Rapid Review: Radiomics and Breast Cancer. Breast Cancer Research and Treatment, 169, 217-229. https://doi.org/10.1007/s10549-018-4675-4
|
[26]
|
赵林, 何翠菊, 陈莉, 等. 动态增强MRI和扩散加权成像在乳腺癌新辅助化疗早期预测疗效的价值[J]. 中国肿瘤, 2010, 19(5): 351-354.
|
[27]
|
Lima, Z.S., et al. (2019) Application of Imaging Technologies in Breast Cancer Detection: A Review Article. Open Access Macedonian Journal of Medical Sciences, 7, 838-848. https://doi.org/10.3889/oamjms.2019.171
|
[28]
|
Radhakrishna, S., Agarwal, S., Parikh, P., et al. (2018) Role of Magnetic Resonance Imaging in Breast Cancer Management. The South Asian Journal of Cancer, 7, 69-71.
|
[29]
|
Sheling, M., et al. (2000) Positron Emission Tomography Using [(18)F]Fluorodeoxyglucose for Monitor-ing Primary Chemotherapy in Breast Cancer. Journal of Clinical Oncology, 18, 1689-1695.
https://doi.org/10.1200/JCO.2000.18.8.1689
|
[30]
|
Smith, I.C., Welch, A.E., Hutcheon, A.W., Mille, I.D., Payne, S., et al. (2000) Positron Emission Tomography Using [18F]-Fluorodeoxy-d-glucose to Predict the Pathologic Response of Breast Cancer to Primary Chemotherapy. Journal of Clinical Oncology, 18, 1676-1688. https://doi.org/10.1200/JCO.2000.18.8.1676
|
[31]
|
Wahl, R.L., Zasadny, K., Helvie, M., et al. (1993) Metabolic Monitoring of Breast Cancer Chemohormonotherapy Using Positron Emission Tomography: Initial Evaluation. Journal of Clinical Oncology, 11, 2101-2111.
https://doi.org/10.1200/JCO.1993.11.11.2101
|
[32]
|
Groheux, D., Hindie, E., Rubello, D., et al. (2009) Should FDG PET/CT Be Used for the Initial Staging of Breast Cancer? European Journal of Nuclear Medicine and Molecular Imag-ing, 36, 1539-1542.
https://doi.org/10.1007/s00259-009-1159-0
|
[33]
|
Caresia Aroztegui, A.P., et al. (2017) 18F-FDG PET/CT in Breast Cancer: Evidence-Based Recommendations in Initial Staging. Tumour Biology, 39, 1-23. https://doi.org/10.1177/1010428317728285
|