Early Prediction of Response to Neoadjuvant Chemotherapy Using Quantitative Parameters on Automated Breast Ultrasound Combined with Contrast-Enhanced Ultrasound in Breast Cancer.

[1]  [Guidelines for clinical diagnosis and treatment of advanced breast cancer in China (2022 edition)]. , 2022, Zhonghua zhong liu za zhi [Chinese journal of oncology].

[2]  B. Al-Najjar,et al.  Cellular and molecular basis of therapeutic approaches to breast cancer. , 2022, Cellular signalling.

[3]  K. Hunt,et al.  Neoadjuvant Chemotherapy, Endocrine Therapy, and Targeted Therapy for Breast Cancer: ASCO Guideline , 2022, Annals of Surgical Oncology.

[4]  S. Aebi,et al.  Locally advanced breast cancer , 2021, Breast.

[5]  L. Esserman,et al.  Residual cancer burden after neoadjuvant chemotherapy and long-term survival outcomes in breast cancer: a multicentre pooled analysis of 5161 patients , 2021, The Lancet. Oncology.

[6]  Jialing Wu,et al.  Diagnostic performance of combined use of automated breast volume scanning & hand-held ultrasound for breast lesions , 2021, The Indian journal of medical research.

[7]  S. Dudea,et al.  Pros and Cons for Automated Breast Ultrasound (ABUS): A Narrative Review , 2021, Journal of personalized medicine.

[8]  Atlal M. Abusanad,et al.  Diagnostic Accuracy of MRI in Evaluating Response After Neoadjuvant Systemic Therapy in Operable Breast Cancer , 2021, Cureus.

[9]  Chuang Chen,et al.  Early prediction of response to neoadjuvant chemotherapy using contrast-enhanced ultrasound in breast cancer , 2021, Medicine.

[10]  C. Denkert,et al.  Breast cancer , 2021, The Lancet.

[11]  G. Whitman,et al.  Breast Cancer Staging: Updates in the AJCC Cancer Staging Manual 8th Edition and Current Challenges for Radiologists, From the AJR Special Series on Cancer Staging. , 2021, AJR. American journal of roentgenology.

[12]  A. Jemal,et al.  Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries , 2021, CA: a cancer journal for clinicians.

[13]  S. Dudea,et al.  Contrast-Enhanced Ultrasonography in the Diagnosis and Treatment Modulation of Breast Cancer , 2021, Journal of personalized medicine.

[14]  A. Orlandi,et al.  Automated breast volume scanner (ABVS) compared to handheld ultrasound (HHUS) and contrast-enhanced magnetic resonance imaging (CE-MRI) in the early assessment of breast cancer during neoadjuvant chemotherapy: an emerging role to monitoring tumor response? , 2021, La radiologia medica.

[15]  A. Klibanov.  Ultrasound Contrast , 2020, Investigative radiology.

[16]  Xiaoyun Mao,et al.  Evaluation of the Efficacy of Neoadjuvant Chemotherapy for Breast Cancer , 2020, Drug design, development and therapy.

[17]  L. Moy,et al.  Role of MRI to Assess Response to Neoadjuvant Therapy for Breast Cancer , 2020, Journal of magnetic resonance imaging : JMRI.

[18]  Cai Chang,et al.  The Role of Contrast-Enhanced Ultrasound in the Diagnosis and Pathologic Response Prediction in Breast Cancer: A Meta-analysis and Systematic Review. , 2020, Clinical breast cancer.

[19]  Chia-Yen Lee,et al.  Fully automated lesion segmentation and visualization in automated whole breast ultrasound (ABUS) images. , 2020, Quantitative imaging in medicine and surgery.

[20]  W. Moon,et al.  Predicting Axillary Response to Neoadjuvant Chemotherapy: Breast MRI and US in Patients with Node-Positive Breast Cancer. , 2019, Radiology.

[21]  Shu-sen Zheng,et al.  Evaluation of the response of breast cancer patients to neoadjuvant chemotherapy by combined contrast-enhanced ultrasonography and ultrasound elastography , 2019, Experimental and therapeutic medicine.

[22]  Mohammad Fahad Ullah.  Breast Cancer: Current Perspectives on the Disease Status. , 2019, Advances in experimental medicine and biology.

[23]  A. Orlandi,et al.  Usefulness of automated breast volume scanner (ABVS) for monitoring tumor response to neoadjuvant treatment in breast cancer patients: preliminary results. , 2019, European review for medical and pharmacological sciences.

[24]  I. Keklikoglou,et al.  Chemotherapy elicits pro-metastatic extracellular vesicles in breast cancer models , 2018, Nature Cell Biology.

[25]  H. Kim,et al.  Comparison of mammography, digital breast tomosynthesis, automated breast ultrasound, magnetic resonance imaging in evaluation of residual tumor after neoadjuvant chemotherapy. , 2018, European journal of radiology.

[26]  A. Jager,et al.  Three-dimensional ultrasonography of the breast; An adequate replacement for MRI in neoadjuvant chemotherapy tumour response evaluation? - RESPONDER trial. , 2018, European journal of radiology.

[27]  C. Zuiani,et al.  Automated breast volume scanner (ABVS) in assessing breast cancer size: A comparison with conventional ultrasound and magnetic resonance imaging , 2018, European Radiology.

[28]  Zuoyong Li,et al.  Evaluating pathologic response of breast cancer to neoadjuvant chemotherapy with computer-extracted features from contrast-enhanced ultrasound videos. , 2017, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.

[29]  Mary W. Yamashita,et al.  Accuracy of Contrast‐Enhanced Ultrasound Compared With Magnetic Resonance Imaging in Assessing the Tumor Response After Neoadjuvant Chemotherapy for Breast Cancer , 2017, Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine.

[30]  C. Zuiani,et al.  Automated breast ultrasound: basic principles and emerging clinical applications , 2017, La radiologia medica.

[31]  Yuntao Xie,et al.  Early prediction of pathological outcomes to neoadjuvant chemotherapy in breast cancer patients using automated breast ultrasound , 2016, Chinese journal of cancer research = Chung-kuo yen cheng yen chiu.

[32]  Man Chen,et al.  Three-dimensional Contrast-enhanced Ultrasound in Response Assessment for Breast Cancer: A Comparison with Dynamic Contrast-enhanced Magnetic Resonance Imaging and Pathology , 2016, Scientific Reports.

[33]  Laura A. Tuttle,et al.  Whole Breast Ultrasound: Comparison of the Visibility of Suspicious Lesions with Automated Breast Volumetric Scanning Versus Hand-Held Breast Ultrasound. , 2015, Academic radiology.

[34]  L. Pusztai,et al.  Neoadjuvant chemotherapy for breast cancer increases the rate of breast conservation: results from the National Cancer Database. , 2015, Journal of the American College of Surgeons.

[35]  A. Spillane,et al.  Utility of neoadjuvant chemotherapy in the treatment of operable breast cancer , 2015, ANZ journal of surgery.

[36]  Bing Hu,et al.  Diagnostic performance of the automated breast volume scanner: a systematic review of inter-rater reliability/agreement and meta-analysis of diagnostic accuracy for differentiating benign and malignant breast lesions , 2015, European Radiology.

[37]  Bin Zhao,et al.  Potential application value of contrast-enhanced ultrasound in neoadjuvant chemotherapy of breast cancer. , 2012, Ultrasound in medicine & biology.

[38]  P. Fasching,et al.  Definition and impact of pathologic complete response on prognosis after neoadjuvant chemotherapy in various intrinsic breast cancer subtypes. , 2012, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[39]  Qifeng Yang,et al.  Meta-analysis confirms achieving pathological complete response after neoadjuvant chemotherapy predicts favourable prognosis for breast cancer patients. , 2011, European journal of cancer.

[40]  Woo Kyung Moon,et al.  Radiologists' performance in the detection of benign and malignant masses with 3D automated breast ultrasound (ABUS). , 2011, European journal of radiology.

[41]  A. Padhani,et al.  Multiparametric imaging of tumor response to therapy. , 2010, Radiology.

[42]  L. Schwartz,et al.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1). , 2009, European journal of cancer.

[43]  R. Shukla,et al.  Doppler ultrasound scoring to predict chemotherapeutic response in advanced breast cancer , 2007, World journal of surgical oncology.

[44]  J. Im,et al.  Differentiation of benign from malignant solid breast masses: conventional US versus spatial compound imaging. , 2005, Radiology.

[45]  D. Darland,et al.  Blood vessel maturation: vascular development comes of age. , 1999, The Journal of clinical investigation.