Cargando…

Prediction of Pathologic Complete Response by Ultrasonography and Magnetic Resonance Imaging After Neoadjuvant Chemotherapy in Patients with Breast Cancer

PURPOSE: To compare the diagnostic performance for pathologic complete response (pCR) in breast cancer after neoadjuvant chemotherapy (NAC) between ultrasound (US) and magnetic resonance imaging (MRI). PATIENTS AND METHODS: A total of 1,219 breast cancer patients with 1,232 tumors who accepted US an...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Kai, Li, Jiawei, Zhu, Qian, Chang, Cai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Dove 2020
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7170550/ https://www.ncbi.nlm.nih.gov/pubmed/32368138 http://dx.doi.org/10.2147/CMAR.S247279

Ejemplares similares

Accuracy of magnetic resonance imaging for predicting pathological complete response of breast cancer after neoadjuvant chemotherapy: association with breast cancer subtype
por: Fukuda, Takayo, et al.
Publicado: (2016)

A Noninvasive Tool Based on Magnetic Resonance Imaging Radiomics for the Preoperative Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Li, Chenchen, et al.
Publicado: (2022)

Machine Learning Models and Multiparametric Magnetic Resonance Imaging for the Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Herrero Vicent, Carmen, et al.
Publicado: (2022)

Role of Diffusion-Weighted Magnetic Resonance Imaging in Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Locally Advanced Breast Cancer and Its Molecular Subtypes
por: Singh, Neetu, et al.
Publicado: (2022)

Nomogram based on quantitative dynamic contrast-enhanced magnetic resonance imaging, apparent diffusion coefficient, and clinicopathological features for early prediction of pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy
por: He, Muzhen, et al.
Publicado: (2023)

The additive role of (1)H-magnetic resonance spectroscopic imaging to ensure pathological complete response after neoadjuvant chemotherapy in breast cancer patients
por: Bayoumi, Dalia, et al.
Publicado: (2019)

Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast‐enhanced ultrasound and dynamic contrast‐enhanced magnetic resonance imaging
por: Han, Xue, et al.
Publicado: (2022)

Machine learning with multiparametric magnetic resonance imaging of the breast for early prediction of response to neoadjuvant chemotherapy
por: Lo Gullo, Roberto, et al.
Publicado: (2019)

The role of magnetic resonance imaging in assessing residual disease and pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy: a systematic review
por: Lobbes, M. B. I., et al.
Publicado: (2013)

Accuracy of Magnetic Resonance Imaging–Guided Biopsy to Verify Breast Cancer Pathologic Complete Response After Neoadjuvant Chemotherapy: A Nonrandomized Controlled Trial
por: Sutton, Elizabeth J., et al.
Publicado: (2021)

Preoperative Breast Magnetic Resonance Imaging as a Predictor of Response to Neoadjuvant Chemotherapy
por: Browne, Robert, et al.
Publicado: (2022)

Molecular hallmarks of breast multiparametric magnetic resonance imaging during neoadjuvant chemotherapy
por: Lin, Peng, et al.
Publicado: (2023)

Direct comparison of magnetic resonance imaging and pathological shrinkage patterns of triple-negative breast cancer after neoadjuvant chemotherapy
por: Yoshikawa, Katsuhiro, et al.
Publicado: (2020)

An integrated deep learning model for the prediction of pathological complete response to neoadjuvant chemotherapy with serial ultrasonography in breast cancer patients: a multicentre, retrospective study
por: Wu, Lei, et al.
Publicado: (2022)

Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer
por: Minarikova, Lenka, et al.
Publicado: (2016)

High Proliferation Predicts Pathological Complete Response to Neoadjuvant Chemotherapy in Early Breast Cancer
por: Alba, Emilio, et al.
Publicado: (2016)

Contrast-enhanced ultrasonography for early prediction of response of neoadjuvant chemotherapy in breast cancer
por: Guo, Jiabao, et al.
Publicado: (2022)

Magnetic resonance imaging and pathological characteristics of pure mucinous carcinoma in the breast according to echogenicity on ultrasonography
por: Shin, Young Gyung, et al.
Publicado: (2017)

Diffusion-Weighted Magnetic Resonance Imaging of Patients with Breast Cancer Following Neoadjuvant Chemotherapy Provides Early Prediction of Pathological Response – A Prospective Study
por: Pereira, Nara P., et al.
Publicado: (2019)

Deep learning-based predictive biomarker of pathological complete response to neoadjuvant chemotherapy from histological images in breast cancer
por: Li, Fengling, et al.
Publicado: (2021)

Magnetic Resonance Metabolic Profiling of Breast Cancer Tissue Obtained with Core Needle Biopsy for Predicting Pathologic Response to Neoadjuvant Chemotherapy
por: Choi, Ji Soo, et al.
Publicado: (2013)

Molecular Biomarkers Predict Pathological Complete Response of Neoadjuvant Chemotherapy in Breast Cancer Patients: Review
por: de Freitas, Ana Julia Aguiar, et al.
Publicado: (2021)

Derived Neutrophil-to-Lymphocyte Ratio Predicts Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Ocaña, Alberto, et al.
Publicado: (2022)

Individualized model for predicting pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: A multicenter study
por: Qian, Bei, et al.
Publicado: (2022)

Radiologic complete response (rCR) in contrast-enhanced magnetic resonance imaging (CE-MRI) after neoadjuvant chemotherapy for early breast cancer predicts recurrence-free survival but not pathologic complete response (pCR)
por: Gampenrieder, Simon Peter, et al.
Publicado: (2019)

Effect of Neoadjuvant Chemotherapy on Angiogenesis and Cell Proliferation of Breast Cancer Evaluated by Dynamic Enhanced Magnetic Resonance Imaging
por: Chang, Lifang, et al.
Publicado: (2022)

Predicting Pathological Complete Response After Neoadjuvant Chemotherapy in Advanced Breast Cancer by Ultrasound and Clinicopathological Features Using a Nomogram
por: Cui, Hao, et al.
Publicado: (2021)

Current and Future Trends in Magnetic Resonance Imaging Assessments of the Response of Breast Tumors to Neoadjuvant Chemotherapy
por: Arlinghaus, Lori R., et al.
Publicado: (2010)

Magnetic Resonance Imaging Evaluation of Noninflammatory Breast Cancer with Skin Involvement After Neoadjuvant Chemotherapy
por: Chen, Jeon-Hor, et al.
Publicado: (2010)

Clinical Application of Magnetic Resonance Imaging in Management of Breast Cancer Patients Receiving Neoadjuvant Chemotherapy
por: Chen, Jeon-Hor, et al.
Publicado: (2013)

Association of higher axillary pathologic complete response rate with breast pathologic complete response after neoadjuvant chemotherapy
por: Zhu, Jiujun, et al.
Publicado: (2020)

A Clinical Assessment of a Magnetic Resonance Computer-Aided Diagnosis System in the Detection of Pathological Complete Response After Neoadjuvant Chemotherapy in Breast Cancer
por: Peng, Haiyong, et al.
Publicado: (2022)

Pathological complete response and residual DCIS following neoadjuvant chemotherapy for breast carcinoma
por: Jones, R L, et al.
Publicado: (2006)

Predictors of Pathological Complete Response to Neoadjuvant Chemotherapy in Iranian Breast Cancer Patients
por: Sasanpour, Pegah, et al.
Publicado: (2018)

Influences on pathologic complete response in breast cancer patients after neoadjuvant chemotherapy
por: Müller, Carolin, et al.
Publicado: (2021)

A New Model Incorporating Axillary Ultrasound After Neoadjuvant Chemotherapy to Predict Non-Sentinel Lymph Node Metastasis in Invasive Breast Cancer
por: Zhang, Kai, et al.
Publicado: (2020)

Platelet-to-lymphocyte ratio as a predictive factor of complete pathologic response to neoadjuvant chemotherapy in breast cancer
por: Cuello-López, Javier, et al.
Publicado: (2018)

Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer
por: Zhang, Kun, et al.
Publicado: (2023)

Circulating tumor DNA and magnetic resonance imaging to predict neoadjuvant chemotherapy response and recurrence risk
por: Magbanua, Mark Jesus M., et al.
Publicado: (2021)

Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography
por: IWASA, HITOMI, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_hb030r0qsk0g4no4hi4vaj2128