Cargando…

Early Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI()

The purpose is to compare quantitative dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) metrics with imaging tumor size for early prediction of breast cancer response to neoadjuvant chemotherapy (NACT) and evaluation of residual cancer burden (RCB). Twenty-eight patients with 29 prim...

Descripción completa

Detalles Bibliográficos
Autores principales:	Tudorica, Alina, Oh, Karen Y, Chui, Stephen Y-C, Roy, Nicole, Troxell, Megan L, Naik, Arpana, Kemmer, Kathleen A, Chen, Yiyi, Holtorf, Megan L, Afzal, Aneela, Springer, Charles S, Li, Xin, Huang, Wei
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Neoplasia Press 2016
Materias:	Original article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4800060/ https://www.ncbi.nlm.nih.gov/pubmed/26947876 http://dx.doi.org/10.1016/j.tranon.2015.11.016

Ejemplares similares

DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy Response
por: Thibault, Guillaume, et al.
Publicado: (2017)

Early Prediction of Breast Cancer Therapy Response using Multiresolution Fractal Analysis of DCE-MRI Parametric Maps
por: Machireddy, Archana, et al.
Publicado: (2019)

Intratumor mapping of intracellular water lifetime: metabolic images of breast cancer?
por: Springer, Charles S, et al.
Publicado: (2014)

Quantitative DCE-MRI prediction of breast cancer recurrence following neoadjuvant chemotherapy: a preliminary study
por: Thawani, Rajat, et al.
Publicado: (2022)

Predictive value of DCE-MRI and IVIM-DWI in osteosarcoma patients with neoadjuvant chemotherapy
por: Xia, Xibin, et al.
Publicado: (2022)

Assessing vascular effects of adding bevacizumab to neoadjuvant chemotherapy in osteosarcoma using DCE-MRI
por: Guo, J, et al.
Publicado: (2015)

Evaluation of Soft Tissue Sarcoma Response to Preoperative Chemoradiotherapy Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging
por: Huang, Wei, et al.
Publicado: (2016)

The value of GRASP on DCE-MRI for assessing response to neoadjuvant chemotherapy in patients with esophageal cancer
por: Lu, Yanan, et al.
Publicado: (2019)

DCE-MRI radiomics nomogram can predict response to neoadjuvant chemotherapy in esophageal cancer
por: Qu, Jinrong, et al.
Publicado: (2022)

PB.32. Type of breast surgery in patients undergoing neoadjuvant chemotherapy: role of DCE-MRI
por: Halim, M, et al.
Publicado: (2014)

Breast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response()
por: Ashraf, Ahmed, et al.
Publicado: (2015)

DCE-MRI and parametric imaging in monitoring response to neoadjuvant chemotherapy in breast carcinoma: a preliminary report
por: Sharma, Anjna, et al.
Publicado: (2018)

3T DCE-MRI Radiomics Improves Predictive Models of Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Montemezzi, Stefania, et al.
Publicado: (2021)

Machine learning for predicting breast-conserving surgery candidates after neoadjuvant chemotherapy based on DCE-MRI
por: Chen, Zhigeng, et al.
Publicado: (2023)

Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
por: Braman, Nathaniel M., et al.
Publicado: (2017)

The Diagnostic Performance of DCE-MRI in Evaluating the Pathological Response to Neoadjuvant Chemotherapy in Breast Cancer: A Meta-Analysis
por: Cheng, Qingqing, et al.
Publicado: (2020)

Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
por: Braman, Nathaniel M., et al.
Publicado: (2017)

Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration
por: Jahani, Nariman, et al.
Publicado: (2019)

Potential of combination of DCE-MRI and DWI with serum CA125 and CA199 in evaluating effectiveness of neoadjuvant chemotherapy in breast cancer
por: Zhang, Jun, et al.
Publicado: (2021)

Early prediction of pathological complete response to neoadjuvant chemotherapy combining DCE-MRI and apparent diffusion coefficient values in breast Cancer
por: Liang, Xinhong, et al.
Publicado: (2022)

Pretreatment DCE-MRI-Based Deep Learning Outperforms Radiomics Analysis in Predicting Pathologic Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
por: Peng, Yunsong, et al.
Publicado: (2022)

Deep learning radiomic analysis of DCE-MRI combined with clinical characteristics predicts pathological complete response to neoadjuvant chemotherapy in breast cancer
por: Li, Yuting, et al.
Publicado: (2023)

Breast MR with special focus on DW-MRI and DCE-MRI
por: Petralia, G., et al.
Publicado: (2011)

Radiomics Analysis of Multi-Phase DCE-MRI in Predicting Tumor Response to Neoadjuvant Therapy in Breast Cancer
por: Peng, Shuyi, et al.
Publicado: (2021)

Early prediction of neoadjuvant chemotherapy response by exploiting a transfer learning approach on breast DCE-MRIs
por: Comes, Maria Colomba, et al.
Publicado: (2021)

Comparison of Ultrafast Dynamic Contrast-Enhanced (DCE) MRI with Conventional DCE MRI in the Morphological Assessment of Malignant Breast Lesions
por: Ohashi, Akane, et al.
Publicado: (2023)

Response Predictivity to Neoadjuvant Therapies in Breast Cancer: A Qualitative Analysis of Background Parenchymal Enhancement in DCE-MRI
por: La Forgia, Daniele, et al.
Publicado: (2021)

Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases
por: De Bruyne, S, et al.
Publicado: (2012)

Tumor Microenvironment Modifications Recorded With IVIM Perfusion Analysis and DCE-MRI After Neoadjuvant Radiotherapy: A Preclinical Study
por: Lallemand, François, et al.
Publicado: (2021)

Early Prediction of Breast Cancer Recurrence for Patients Treated with Neoadjuvant Chemotherapy: A Transfer Learning Approach on DCE-MRIs
por: Comes, Maria Colomba, et al.
Publicado: (2021)

Assessment of cardiac RF ablation lesions by DCE-MRI
por: Vijayakumar, Sathya, et al.
Publicado: (2014)

Dependence of DCE-MRI biomarker values on analysis algorithm
por: Ng, Chaan S., et al.
Publicado: (2015)

DCE-MRI of Tumor Hypoxia and Hypoxia-Associated Aggressiveness
por: Gaustad, Jon-Vidar, et al.
Publicado: (2020)

Editorial: Use of DCE-MRI in female affecting cancers
por: Romeo, Valeria, et al.
Publicado: (2023)

A Gradient-Based Approach for Breast DCE-MRI Analysis
por: Losurdo, L., et al.
Publicado: (2018)

Integration of DCE-MRI and DW-MRI Quantitative Parameters for Breast Lesion Classification
por: Fusco, Roberta, et al.
Publicado: (2015)

Assessment of gadoxetate DCE-MRI as a biomarker of hepatobiliary transporter inhibition
por: Ulloa, Jose L, et al.
Publicado: (2013)

Robustness Evaluation of a Deep Learning Model on Sagittal and Axial Breast DCE-MRIs to Predict Pathological Complete Response to Neoadjuvant Chemotherapy
por: Massafra, Raffaella, et al.
Publicado: (2022)

Dynamic contrast-enhanced MRI in malignant pleural mesothelioma: prediction of outcome based on DCE-MRI measurements in patients undergoing cytotoxic chemotherapy
por: Vivoda Tomšič, Martina, et al.
Publicado: (2022)

Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors
por: Parra, Andres N., et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_ohll6aff0cs815saicf2p9p998