Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Chemotherapy-Response Monitoring of Breast Cancer Patients Using Quantitative Ultrasound-Based Intra-Tumour Heterogeneities
Authors
Keywords
-
Journal
Scientific Reports
Volume 7, Issue 1, Pages -
Publisher
Springer Nature America, Inc
Online
2017-08-29
DOI
10.1038/s41598-017-09678-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Quantitative ultrasound assessment of breast tumor response to chemotherapy using a multi-parameter approach
- (2016) Hadi Tadayyon et al. Oncotarget
- Non-invasive evaluation of breast cancer response to chemotherapy using quantitative ultrasonic backscatter parameters
- (2015) Lakshmanan Sannachi et al. MEDICAL IMAGE ANALYSIS
- Early detection of chemotherapy-refractory patients by monitoring textural alterations in diffuse optical spectroscopic images
- (2015) Ali Sadeghi-Naini et al. MEDICAL PHYSICS
- Early prediction of therapy responses and outcomes in breast cancer patients using quantitative ultrasound spectral texture
- (2015) Ali Sadeghi-Naini et al. Oncotarget
- Quantitative ultrasound characterization of locally advanced breast cancer by estimation of its scatterer properties
- (2014) Hadi Tadayyon et al. MEDICAL PHYSICS
- Quantitative Ultrasound Characterization of Tumor Cell Death: Ultrasound-Stimulated Microbubbles for Radiation Enhancement
- (2014) Hyunjung Christina Kim et al. PLoS One
- Diffuse Optical Spectroscopy Evaluation of Treatment Response in Women with Locally Advanced Breast Cancer Receiving Neoadjuvant Chemotherapy
- (2014) Omar Falou et al. Translational Oncology
- Conventional Frequency Ultrasonic Biomarkers of Cancer Treatment Response In Vivo
- (2014) Ali Sadeghi-Naini et al. Translational Oncology
- Evaluation of Neoadjuvant Chemotherapy Response in Women with Locally Advanced Breast Cancer Using Ultrasound Elastography
- (2014) Omar Falou et al. Translational Oncology
- Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer
- (2014) Xia Li et al. Translational Oncology
- Noninvasive Characterization of Locally Advanced Breast Cancer Using Textural Analysis of Quantitative Ultrasound Parametric Images
- (2014) Hadi Tadayyon et al. Translational Oncology
- Quantitative Ultrasound Evaluation of Tumor Cell Death Response in Locally Advanced Breast Cancer Patients Receiving Chemotherapy
- (2013) A. Sadeghi-Naini et al. CLINICAL CANCER RESEARCH
- Histopathologic changes following neoadjuvant chemotherapy in locally advanced breast cancer
- (2013) D Sethi et al. INDIAN JOURNAL OF CANCER
- Response-Guided Neoadjuvant Chemotherapy for Breast Cancer
- (2013) Gunter von Minckwitz et al. JOURNAL OF CLINICAL ONCOLOGY
- Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatment
- (2013) Timothy J. Larkin et al. MAGNETIC RESONANCE IN MEDICINE
- Low-frequency quantitative ultrasound imaging of cell death in vivo
- (2013) Ali Sadeghi-Naini et al. MEDICAL PHYSICS
- Texture analysis in assessment and prediction of chemotherapy response in breast cancer
- (2012) Arfan Ahmed et al. JOURNAL OF MAGNETIC RESONANCE IMAGING
- DCE-MRI biomarkers of tumour heterogeneity predict CRC liver metastasis shrinkage following bevacizumab and FOLFOX-6
- (2011) J P B O'Connor et al. BRITISH JOURNAL OF CANCER
- Tumour heterogeneity in oesophageal cancer assessed by CT texture analysis: Preliminary evidence of an association with tumour metabolism, stage, and survival
- (2011) B. Ganeshan et al. CLINICAL RADIOLOGY
- Intratumor Heterogeneity Characterized by Textural Features on Baseline 18F-FDG PET Images Predicts Response to Concomitant Radiochemotherapy in Esophageal Cancer
- (2011) F. Tixier et al. JOURNAL OF NUCLEAR MEDICINE
- Tumor imaging using hyperpolarized 13C magnetic resonance spectroscopy
- (2011) Kevin M. Brindle et al. MAGNETIC RESONANCE IN MEDICINE
- Methodological and practical challenges for personalized cancer therapies
- (2011) Ignacio I. Wistuba et al. Nature Reviews Clinical Oncology
- Assessment of Response to Tyrosine Kinase Inhibitors in Metastatic Renal Cell Cancer: CT Texture as a Predictive Biomarker
- (2011) Vicky Goh et al. RADIOLOGY
- Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer
- (2011) Manushka Vaidya et al. RADIOTHERAPY AND ONCOLOGY
- A robust graph-based segmentation method for breast tumors in ultrasound images
- (2011) Qing-Hua Huang et al. ULTRASONICS
- Estimate of the attenuation coefficient using a clinical array transducer for the detection of cervical ripening in human pregnancy
- (2010) Yassin Labyed et al. ULTRASONICS
- Quantitative Ultrasound Characterization of Responses to Radiotherapy in Cancer Mouse Models
- (2009) R. M. Vlad et al. CLINICAL CANCER RESEARCH
- Learning from Imbalanced Data
- (2009) Haibo He et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Personalized Cancer Therapy With Selective Kinase Inhibitors: An Emerging Paradigm in Medical Oncology
- (2009) Ultan McDermott et al. JOURNAL OF CLINICAL ONCOLOGY
- Ultrasound Imaging of Apoptosis in Tumor Response: Novel Preclinical Monitoring of Photodynamic Therapy Effects
- (2008) B. Banihashemi et al. CANCER RESEARCH
- Emerging Biomarkers and New Understanding of Traditional Markers in Personalized Therapy for Breast Cancer
- (2008) M. Dowsett et al. CLINICAL CANCER RESEARCH
- Quantitative Ultrasound Characterization of Cancer Radiotherapy Effects In Vitro
- (2008) Roxana M. Vlad et al. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More